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Factors affecting intentions to use interactive technologies

This is an excerpt from one of our latest academic articles (that was accepted by the Journal of Services Marketing).

Theoretical implications

Previous studies reported that interactive websites ought to be accessible, appealing, convenient, functional, secure and responsive to their users (Crolic et al., 2021; Hoyer et al., 2020; Kabadayi et al., 2020; Klaus and Zaichkowsky, 2020; Rosenmayer et al., 2018; Sheehan et al., 2020; Valtakoski, 2019). Online service providers are expected to deliver a personalized customer service experience and to exceed their consumers’ expectations at all times, to encourage repeat business and loyal behaviors (Li et al., 2017; Tong et al., 2020; Zeithaml et al. 2002).

Many service marketing researchers have investigated the individuals’ perceptions about price comparison sites, interactive websites, ecommerce / online marketplaces, electronic banking, and social media, among other virtual domains (Donthu et al., 2021; Kabadayi et al., 2020; Klaus and Zaichkowsky, 2020; Rosenbaum and Russell-Bennett, 2020; Rosenmayer et al., 2018; Valtakoski, 2019; Zaki, 2019). Very often, they relied on measures drawn from electronic service quality (e-SQ or e-SERVQUAL), electronic retail quality (eTailQ), transaction process-based approaches for capturing service quality (eTransQual), net quality (NETQual), perceived electronic service quality (PeSQ), site quality (SITEQUAL) and website quality (webQual), among others.

Technology adoption researchers often adapted TAM measures, including perceived usefulness and behavioral intentions constructs, among others, or relied on psychological theories like the Theory of Reasoned Action (Fishbein and Ajzen, 195) and the Theory of Planned Behavior (Ajzen, 1991), among others, to explore the individuals’ acceptance and use of different service technologies, in various contexts (Park et al., 2007; Chen and Chang, 2018). Alternatively, they utilized IAM’s theoretical framework to investigate the online users’ perceptions about the usefulness of information or online content. Very often they examined the effects of information usefulness on information adoption (Erkan and Evans, 2016; Liu et al., 2017).

A review of the relevant literature suggests that good quality content (in terms of its understandability, completeness, timeliness and accuracy) as well as the sources’ credibility (with regard to their trustworthiness and expertise) can increase the individuals’ expectations regarding a business and its products or services (Cheung et al., 2008; Li et al., 2017; Liu et al., 2017). ELM researchers suggest that a high level of message elaboration (i.e., argument quality) as well as the peripheral cues like the credibility of the sources and their appealing content, can have a positive impact on the individuals’ attitudes toward the conveyors of information (Allison et al., 2017; Chen and Chang, 2018; Petty et al., 1983), could affect their intentions to (re)visit the businesses’ websites (Salehi-Esfahani et al., 2016), and may even influence their purchase intentions (Chen and Chang, 2018; Erkan and Evans, 2016).

This contribution differentiates itself from previous research as the researchers adapted key measures from ELM/IAM namely ‘information quality’ (Filieri and McLeay, 2014; Salehi-Esfahani et al., 2016; Shu and Scott, 2013; Tseng and Wang, 2016) and ‘source credibility’ (Ayeh, 2015; Leong et al., 2019; Wang and Scheinbaum, 2018) and integrated them with an ‘interactive engagement’ construct (McMillan and Hwang, 2002), to better understand the individuals’ utilitarian motivations to use the service businesses’ interactive websites. The researchers hypothesized that these three constructs were plausible antecedents of TAM’s ‘perceived usefulness’ and ‘intentions to use the technology’. Specifically, this research examines the direct effects of information quality, source credibility and interactive engagement on the individuals’ perceived usefulness of interactive website, as well as their indirect effects on their intentions to continue using these service technologies.

To the best of the researchers’ knowledge, there is no other research in academia that included an interactive engagement construct in addition to ELM/IAM and TAM measures. This contribution addresses this gap in the literature. The engagement construct was used to better understand the respondents’ perceptions about the ease-of-use of interactive websites, to ascertain whether they are captivating their users’ attention by offering a variety of content, and more importantly, to determine whether they consider them as responsive technologies.

Managerial implications

This study sheds light on the travel websites’ interactive capabilities during an unprecedented crisis situation, when businesses received higher volumes of inquiries through different channels (to change bookings, cancel itineraries and/or submit refund requests). At the same time, it identified the most significant factors that were affecting the respondents’ perceptions and motivations to continue using interactive service technologies in the future.

In sum, this research confirmed that the respondents were evaluating the quality of information that is featured in interactive websites. The findings reported they were well acquainted with the websites’ content (e.g. news feeds, product information, differentiated pricing options, images, video clips, and/or web chat facilities). The researchers presumed that the respondents were well aware of the latest developments. During COVID-19, a number of travel websites have eased their terms and conditions relating to cancellations and refund policies (EU, 2020), to accommodate their customers. Online businesses were expected to communicate with their customers and to clarify any changes in their service delivery, in a timely manner.

The contribution clarified that online users were somehow influenced by the asynchronous content that is featured in webpages. Therefore, service businesses ought to publish quality information to satisfy their customers’ expectations.  They may invest in service technologies like a frequently answered questions widget in their websites to enhance their online customer services, and to support online users during and after the sales transactions. Service businesses could integrate events’ calendars, maps, multi-lingual accessibility options, online reviews and ratings, high resolution images and/or videos in their interactive websites, to entertain their visitors (Cao and Yang, 2016; Bastida and Huan, 2014).  

This research underlines the importance for service providers to consistently engage in concurrent, online conversations with customers and prospects, in real-time (Buhalis and Sinarta 2019; Chattaraman et al., 2019; Rihova et al., 2018; Harrigan et al., 2017). Recently, more researchers are raising awareness on the provision of live chat facilities through interactive websites or via SNSs like WhatsApp or Messenger (Camilleri & Troise, 2022). Services businesses are expected to respond to consumer queries, and to address their concerns, as quickly as possible (McLean and Osei-Frimpong, 2019), in order to minimize complaints.

AI chatbot technologies are increasingly enabling service businesses to handle numerous interactions with online users, when compared to telephone conversations with human customer services representatives (Adam et al., 2021; Hoyer et al., 2020; Luo et al., 2019; McLean and Osei-Frimpong, 2019; Van Pinxteren et al., 2019). The most advanced dialogue systems are equipped with features like omnichannel messaging support, no code deployment, fallback options, as well as sentiment analysis. These service technologies are designed to improve the consumers’ experiences by delivering automated smart responses, in an efficient manner. Hence, online businesses will be in a better position to meet and exceed their customers’ service expectations. Indeed, service businesses can leverage themselves with a responsive website. These interactive technologies enable them to improve their positioning among customers, and to generate positive word-of-mouth publicity.

Limitations and future research avenues

This study has included a perceived interactivity dimension, namely an ‘interactive engagement’ construct within an information adoption model. The findings revealed that the respondents believed that the websites’ engaging content was a significant antecedent of their perceptions about the usefulness of interactive websites. This study also reported that the interactive engagement construct indirectly affected the individuals’ intentions to revisit them again.

In conclusion, the authors recommend that future researchers validate this study’s measures in other contexts, to determine the effects of interactive engagement on information adoption and/or on the acceptance and usage of online technologies. Further research is required to better understand which attributes and features of interactive websites are appreciated by online users. Recent contributions suggest that there are many benefits for service businesses to use conversational chatbots to respond to online customer services. These interactive technologies can offer increased convenience to consumers and prospects (Thomaz et al., 2020), improved operational efficiencies (Pantano and Pizzi, 2020), reduced labor costs (Belanche et al., 2020), as well as time-saving opportunities for customers and service providers (Adam et al., 2021).

Prospective empirical research may consider different constructs from other theoretical frameworks to examine the individuals’ perceptions and/or attitudes toward interactive websites and their service technologies. Academic researchers are increasingly relying on the expectancy theory/expectancy violation theory (Crolic et al., 2021), the human computer interaction theory/human machine communication theory (Wilkinson et al., 2021), the social presence theory (Tsai et al., 2021), and/or the social response theory (Adam et al., 2021), among others, to investigate the customers’ engagement with service technologies.

Notwithstanding, different methodologies and sampling frames could be used to capture and analyze primary data. For instance, inductive studies may investigate the consumers’ in-depth opinions and beliefs on this topic. Interpretative studies may reveal important insights on how to improve the efficacy and/or the perceived usefulness of interactive service technologies.

The full paper is available here: https://www.researchgate.net/publication/366055918_Utilitarian_motivations_to_engage_with_travel_websites_An_interactive_technology_adoption_model

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Filed under Business, chatbots, corporate communication, customer service, digital media, ecommerce, Marketing, online, Small Business, tourism, Travel

Live support by chatbots with artificial intelligence: A future research agenda

This is an excerpt from one of my latest contributions on the use of responsive chatbots by service businesses. The content was adapted for this blogpost.

Suggested citation: Camilleri, M.A. & Troise, C. (2022). Live support by chatbots with artificial intelligence: A future research agenda. Service Business, https://doi.org/10.1007/s11628-022-00513-9

(Credit: Chatbots Magazine)

The benefits of using chatbots for online customer services

Frequently, consumers are engaging with chatbot systems without even knowing, as machines (rather than human agents) are responding to online queries (Li et al. 2021; Pantano and Pizzi 2020; Seering et al. 2018; Stoeckli et al. 2020). Whilst 13% of online consumer queries require human intervention (as they may involve complex queries and complaints), more than 87 % of online consumer queries are handled by chatbots (Ngai et al., 2021).

Several studies reported that there are many advantages of using conversational chatbots for customer services. Their functional benefits include increased convenience to customers, enhanced operational efficiencies, reduced labor costs, and time-saving opportunities.

Consumers are increasingly availing themselves of these interactive technologies to retrieve detailed information from their product recommendation systems and/or to request their assistance to help them resolve technical issues. Alternatively, they use them to scrutinize their personal data. Hence, in many cases, customers are willing to share their sensitive information in exchange for a better service.

Although, these interactive technologies are less engaging than human agents, they can possibly elicit more disclosures from consumers. They are in a position to process the consumers’ personal data and to compare it with prior knowledge, without any human instruction. Chatbots can learn in a proactive manner from new sources of information to enrich their database.

Whilst human customer service agents may usually handle complex queries including complaints, service chatbots can improve the handling of routine consumer queries. They are capable of interacting with online users in two-way communications (to a certain extent). Their interactions may result in significant effects on consumer trust, satisfaction, and repurchase intentions, as well as on positive word-of-mouth publicity.

Many researchers reported that consumers are intrigued to communicate with anthropomorphized technologies as they invoke social responses and norms of reciprocity. Such conversational agents are programed with certain cues, features and attributes that are normally associated with humans.

The findings from this review clearly indicate that individuals feel comfortable using chatbots that simulate human interactions, particularly with those that have enhanced anthropomorphic designs. Many authors noted that the more chatbots respond to users in a natural, humanlike way, the easier it is for the business to convert visitors into customers, particularly if they improve their online experiences. This research indicates that there is scope for businesses to use conversational technologies to personalize interactions with online users, to build better relationships with them, to enhance consumer satisfaction levels, to generate leads as well as sales conversions.

The costs of using chatbots for online customer services

Despite the latest advances in the delivery of electronic services, there are still individuals who hold negative perceptions and attitudes towards the use of interactive technologies. Although AI technologies have been specifically created to foster co-creation between the service provider and the customer,

There are a number of challenges (like authenticity issues, cognition challenges, affective issues, functionality issues and integration conflicts) that may result in a failed service interaction and in dissatisfied customers. There are consumers, particularly the older ones, who do not feel comfortable interacting with artificially intelligent technologies like chatbots, or who may not want to comply with their requests, for different reasons. For example, they could be wary about cyber-security issues and/or may simply refuse to engage in conversations with a robot.

A few commentators contended that consumers should be informed when they are interacting with a machine. In many cases, online users may not be aware that they are engaging with elaborate AI systems that use cues such as names, avatars, and typing indicators that are intended to mimic human traits. Many researchers pointed out that consumers may or may not want to be serviced by chatbots.

A number of researchers argued that some chatbots are still not capable of communicative behaviors that are intended to enhance relational outcomes. For the time being, there are chatbot technologies that are not programed to answer to all of their customers’ queries (if they do not recognize the keywords that are used by the customers), or may not be quick enough to deal with multiple questions at the same time. Therefore, the quality of their conversations may be limited. Such automated technologies may not always be in a position to engage in non-linear conversations, especially when they have to go back and forth on a topic with online users.

Theoretical and practical implications

This contribution confirms that recently there is a growing interest among academia as well as by practitioners on research that is focused on the use of chatbots that can improve the businesses’ customer-centric services. It clarifies that various academic researchers have often relied on different theories including on the expectancy theory, or on the expectancy violation theory, the human computer interaction theory/human machine communication theory, the social presence theory, and/or on the social response theory, among others.

Currently, there are limited publications that integrated well-established conceptual bases (like those featured in the literature review), or that presented discursive contributions on this topic. Moreover, there are just a few review articles that capture, scrutinize and interpret the findings from previous theoretical underpinnings, about the use of responsive chatbots in service business settings. Therefore, this systematic review paper addresses this knowledge gap in the academic literature.

It clearly differentiates itself from mainstream research as it scrutinizes and synthesizes the findings from recent, high impact articles on this topic. It clearly identifies the most popular articles from Scopus and Web of Science, and advances a definition about anthropomorphic chatbots, artificial intelligence chatbots (or AI chatbots), conversational chatbot agents (or conversational entities, conversational interfaces, conversational recommender systems or dialogue systems), customer experience with chatbots, chatbot customer service, customer satisfaction with chatbots, customer value (or the customers’ perceived value) of chatbots, and on service robots (robot advisors). It discusses about the different attributes of conversational chatbots and sheds light on the benefits and costs of using interactive technologies to respond to online users’ queries.

In sum, the findings from this research reveal that there is a business case for online service providers to utilize AI chatbots. These conversational technologies could offer technical support to consumers and prospects, on various aspects, in real time, round the clock. Hence, service businesses could be in a position to reduce their labor costs as they would require fewer human agents to respond to their customers. Moreover, the use of interactive chatbot technologies could improve the efficiency and responsiveness of service delivery. Businesses could utilize AI dialogue systems to enhance their customer-centric services and to improve online experiences.  These service technologies can reduce the workload of human agents. The latter ones can dedicate their energies to resolve serious matters, including the handling of complaints and time-consuming cases.

On the other hand, this paper also discusses potential pitfalls. Currently, there are consumers who for some reason or another, are not comfortable interacting with automated chatbots. They may be reluctant to engage with advanced anthropomorphic systems that use avatars, even though, at times, they can mimic human communications relatively well.  Such individuals may still appreciate a human presence to resolve their service issues. They may perceive that interactive service technologies are emotionless and lack a sense of empathy.

Presently, chatbots can only respond to questions, keywords and phrases that they were programed to answer. Although they are useful in solving basic queries, their interactions with consumers are still limited. Their dialogue systems require periodic maintenance. Unlike human agents they cannot engage in in-depth conversations or deal with multiple queries, particularly if they are expected to go back and forth on a topic.

Most probably, these technical issues will be dealt with over time, as more advanced chatbots will be entering the market in the foreseeable future. It is likely that these AI technologies would possess improved capabilities and will be programmed with up-to-date information, to better serve future customers, to exceed their expectations.

Limitations and future research avenues

This research suggests that this area of study is gaining traction in academic circles, particularly in the last few years. In fact, it clarifies that there were four hundred twenty-one 421 publications on chatbots in business-related journals, up to December 2021. Four hundred fifteen (415) of them were published in the last 5 years. 

The systematic analysis that was presented in this research was focused on “chatbot(s)” or “chatterbot(s)”. Other academics may refer to them by using different synonyms like “artificial conversational entity (entities)”, “bot(s)”, “conversational avatar(s)”, “conversational interface agent”, “interactive agent(s)”, “talkbot(s)”, “virtual agent(s)”, and/or “virtual assistant(s)”, among others. Therefore, future researchers may also consider using these keywords when they are other exploring the academic and nonacademic literature on conversational chatbots that are being used for customer-centric services.

Nevertheless, this bibliographic study has identified some of the most popular research areas relating to the use of responsive chatbots in online customer service settings. The findings confirmed that many authors are focusing on the chatbots’ anthropomorphic designs, AI capabilities and on their dialogue systems. This research suggests that there are still knowledge gaps in the academic literature. The following table clearly specifies that there are untapped opportunities for further empirical research in this promising field of study.

The full article is forthcoming. A prepublication version will be available through Researchgate.

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Interactive engagement through travel and tourism social media groups

This an an excerpt from one of my latest article that was published through Technology in Society (An Elsevier Journal).

Credit: Joel Saget / AFP

Suggested Citation: Camilleri, M.A. & Kozak, M. (2022). Interactive engagement through travel and tourism social media groups: A social facilitation theory perspective. Technology in Societyhttps://doi.org/10.1016/j.techsoc.2022.102098

This study builds on previous academic knowledge on the acceptance and use of social media groups. It relied on valid constructs that were drawn from the Theory of Reasoned Action (TRA), Theory of Planned Behavior (TPB) and Theory of Acceptance Model (TAM), as the proposed research model comprised “attitudes toward technology” and “behavioral intentions” constructs. However, it integrated them with perceived interactivity constructs, including “real-time conversation” and “engaging” as well as with “content attractiveness” from Electronic Retail Quality (eTailQ).

This empirical investigation clarifies that the content attractiveness of social media posts as well as their engaging content and real-time conversation capabilities, can have significant effects on social facilitation behaviors of individuals, and on their intentions to revisit social media groups. The findings from this study reiterate the importance of continuously creating relevant content that appeals to social media followers.

Previous research posited that online users should keep their followers engaged through rich media ([77]). Other theoretical underpinnings reported that interactive websites, particularly social media and video sharing platforms, can offer great potential to DMOs to promote tourism and hospitality services ([88]).  Internet domains can showcase a wide array of high-res images and video clips to lure online users to book their travel itineraries to visit destinations ([90]). The digital media and mobile applications (app) ought to be as functional and responsive as possible ([99]). They should load quickly without delays to reduce the likelihood of dissatisfied visitors, who can easily switch to another website or app ([74]).

In this case, the results suggest that there are very significant effects between the online users’ perceptions about engaging content and their intentional behaviors to check out the social media pages (on a regular basis); and between their perceptions about engaging content and their social facilitation dispositions to communicate about social media groups through online and offline channels, in the presence of others. The respondents are appreciating the attractive content, including images or videos, that are disseminated through the social media groups’ posts. Moreover, the findings indicate that they hold positive perceptions about the co-creation of user generated content. Evidently, the exchange of information as well as the responsiveness between two or more online users was leading them to revisit the social media groups.

This study is consistent with the relevant literature that sought to explore the online users’ perceptions about the websites’ interactivity features ([30], [34]). Other researchers maintained that real-time conversations had a positive effect on the online users’ attitudes toward engaging websites ([84]). In this case, this argumentation holds for social media groups, as well.

This contribution underlines the importance of posting engaging content including appealing images and videos through social media. It clearly indicates that interactive content as well as the social networks’ real-time conversation capabilities can foster positive social facilitation behaviors. Arguably, individuals are interested and intrigued to interact with other online users through popular social media groups in the presence of other members. They are likely to join in online discussions and conversations in prolific social media groups, particularly in those that are regularly disseminating attractive content, and in those that facilitate interactive engagement among their members.

The cocreation of user generated content in social media, blogs and review sites is driven by online audiences. This study confirms that the relevance and attractiveness of social media content can have a positive effect on triggering real-time conversations as well as on social facilitation. This reasoning is consistent with the social facilitation theory ([33],[40],[60],[61]). This research corroborates that while the presence of other individuals can increase the likelihood of social engagement, a passive audience may inhibit them from sharing their comments about the attractiveness of interactive content.

The findings of this research also yield plausible implications to practitioners. The researchers indicate that social media subscribers are attracted by the online content that is being posted by DMOs and travel marketers. Online users and prospective travelers are increasingly browsing through interactive content including images and videos of travel destinations. The social media groups are offering a variety of multimedia content that is appealing to online users. Very often, they allow their followers to engage in two-way communications, as members can comment on posts and may also interact with other online users, in real-time. This study suggests that the research participants are visiting the social media groups as they considered them as helpful for their decision making, prior to booking their travel itineraries. Apparently, they were intrigued to revisit these groups and were likely to communicate about their content with other people through offline and online channels, as it appealed to them and captured their attention.

Therefore, travel marketers ought to focus on publishing quality content. This increases the chances of their engagement. Prospective travelers are attracted by multi-media features including high-res images with zooming effects and video content; that are adapted for mobile technologies, including tablets and smartphone devices. Travel marketers and DMOs ought to curate their social media group(s) with appealing content to raise awareness about their tourism products. It is in their interest to share relevant and attractive material to increase the number of followers and their engagement. More importantly, they are expected to interact with online users, in a timely manner, to turn them into brand advocates and to encourage social facilitation behaviors.

In sum, this empirical research clarifies that the attractiveness of online content of social media groups, including their images and videos of destinations, as well as their interactive and real-time conversation capabilities are affecting their subscribers’ revisit intentions. They are also influencing their social facilitation behaviors – in the presence of others. This study raises awareness on the importance of sharing engaging content and of encouraging interactive discussions among social media subscribers. The researchers contend that content creators can lure individuals to visit and revisit their social media pages/groups to generate leads and conversions. Arguably, the more engagement (e.g. through emojis and shares) and conversations (e.g. comments), the greater the chances of captivating the attention of existing followers and of enticing the curiosity of new ones. For the time being, the social facilitation paradigm is still relatively under-explored in academia, particularly within the travel and tourism marketing literature.

Future researchers are encouraged replicate this study in different contexts. They may adapt the measures that were used in this research, including engaging content, real time conversation and social facilitation constructs, in addition to other popular constructs that are drawn from TRA, TPB and TAM. They may include other constructs in their research models, including those relating to psychological theories that can clarify their motivations to engage with other individuals through such digital channels. Further research could focus on the demographic backgrounds of their respondents to better understand who, why, when and where they are engaging with other users through social media groups. Perhaps, there is scope for other studies to employ different sampling frames and methodologies, including inductive ones, to explore this topic in more depth and breadth.

The full list of references are available in the full article. You can download a prepublication version here: 362888940_Interactive_engagement_through_travel_and_tourism_social_media_groups_A_social_facilitation_theory_perspective

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A useful book on corporate communications through digital media

This authoritative book features a broad spectrum of theoretical and empirical contributions on topics relating to corporate communications in the digital age. It is a premier reference source and a valuable teaching resource for course instructors of advanced, undergraduate and post graduate courses in marketing and communications. It comprises fourteen engaging and timely chapters that appeal to today’s academic researchers including doctoral candidates, postdoctoral researchers, early career academics, as well as seasoned researchers. All chapters include an abstract, an introduction, the main body with headings and subheadings, conclusions and research implications. They were written in a critical and discursive manner to entice the curiosity of their readers.

Photo by Headway on Unsplash

Chapter 1 provides a descriptive overview of different online technologies and presents the findings from a systematic review on corporate communication and digital media. Camilleri (2020) implies that institutions and organizations ought to be credible and trustworthy in their interactive, dialogic communications during day-to-day operations as well as in crisis situations, if they want to reinforce their legitimacy in society. Chapter 2 clarifies the importance of trust and belonging in individual and organizational relationships. Allen, Sven, Marwan and Arslan (2020) suggest that trust nurtures social interactions that can ultimately lead to significant improvements in corporate communication and other benefits for organizations. Chapter 3 identifies key dimensions for dialogic communication through social media. Capriotti, Zeler and Camilleri (2020) put forward a conceptual framework that clarifies how organizations can enhance their dialogic communications through interactive technologies. Chapter 4 explores the marketing communications managers’ interactive engagement with the digital media. Camilleri and Isaias (2020) suggest that the pace of technological innovation, perceived usefulness, ease of use of online technologies as well as social influences are significant antecedents for the businesses’ engagement with the digital media. Chapter 5 explains that the Balanced Scorecard’s (BSC) performance management tools can be used to support corporate communications practitioners in their stakeholder engagement. Oliveira, Martins, Camilleri and Jayantilal (2020) imply that practitioners can use BSC’s metrics to align their communication technologies, including big data analytics, with organizational strategy and performance management, in the digital era. Chapter 6 focuses on UK universities’ corporate communications through Twitter. Mogaji, Watat, Olaleye and Ukpabi (2020) find that British universities are increasingly using this medium to attract new students, to retain academic employees and to promote their activities and events. Chapter 7 investigates the use of mobile learning (m-learning) technologies for corporate training. Butler, Camilleri, Creed and Zutshi (2020) shed light on key contextual factors that can have an effect on the successful delivery of continuous professional development of employees through mobile technologies.

Chapter 8 evaluates the effects of influencer marketing on consumer-brand engagement on Instagram. Rios Marques, Casais and Camilleri (2020) identify two types of social media influencers. Chapter 9 explores in-store communications of large-scale retailers. Riboldazzi and Capriello (2020) use an omni-channel approach as they integrate traditional and digital media in their theoretical model for informative, in-store communications. Chapter 10 indicates that various corporations are utilizing different social media channels for different purposes. Troise and Camilleri (2020) contend that they are using them to promote their products or services and/or to convey commercial information to their stakeholders. Chapter 11 appraises the materiality of the corporations’ integrated disclosures of financial and non-financial performance. Rodríguez-Gutiérrez (2020) identifies the key determinants for the materiality of integrated reports.Chapter 12 describes various electronic marketing (emarketing) practices of micro, small and medium sized enterprises in India. Singh, Kumar and Kalia (2020) conclude that Indian owner-managers are not always engaging with their social media followers in a professional manner. Chapter 13 suggests that there is scope for small enterprises to use Web 2.0 technologies and associated social media applications for branding, advertising and corporate communication. Oni (2020) maintains that social media may be used as a marketing communications tool to attract customers and for internal communications with employees. Chapter 14 shed light on the online marketing tactics that are being used for corporate communication purposes. Hajarian, Camilleri, Diaz and Aedo (2020) outline different online channels including one-way and two-way communication technologies.

Endorsements

“Digital communications are increasingly central to the process of building trust, reputation and support.  It’s as true for companies selling products as it is for politicians canvasing for votes.  This book provides a framework for understanding and using online media and will be required reading for serious students of communication”.

Dr. Charles J. Fombrun, Former Professor at New York University, NYU-Stern School, Founder & Chairman Emeritus, Reputation Institute/The RepTrak Company.

“This book has addressed a current and relevant topic relating to an important aspect of digital transformation. Various chapters of this book provide valuable insights about a variety of issues relating to “Strategic Corporate Communication in the Digital Age”. The book will be a useful resource for both academics and practitioners engaged in marketing- and communications-related activities. I am delighted to endorse this valuable resource”.

Dr. Yogesh K. Dwivedi, Professor at the School of Management at Swansea University, UK and Editor-in-Chief of the International Journal of Information Management.

“This title covers a range of relevant issues and trends related to strategic corporate communication in an increasingly digital era. For example, not only does it address communication from a social media, balanced scorecard, and stakeholder engagement perspective, but it also integrates relevant contemporary insights related to SMEs and COVID-19. This is a must-read for any corporate communications professional or researcher”.

Dr. Linda Hollebeek, Associate Professor at Montpellier Business School, France and Tallinn University of Technology, Estonia.

“Corporate communication is changing rapidly, and digital media represent a tremendous opportunity for companies of all sizes to better achieve their communication goals. This book provides important insights into relevant trends and charts critical ways in which digital media can be used to their full potential” 

Dr. Ulrike Gretzel, Director of Research at Netnografica and Senior Fellow at the Center for Public Relations, University of Southern California, USA.

“This new book by Professor Mark Camilleri promises again valuable insights in corporate communication in the digital era with a special focus on Corporate Social Responsibility. The book sets a new standard in our thinking of responsibilities in our digital connected world”. 

Dr. Wim Elving, Professor at Hanze University of Applied Sciences, Groningen, The Netherlands. 

References

Allen, K.A. Sven, G.T., Marwan, S. & Arslan, G. (2020). Trust and belonging in individual and organizational relationships. In Camilleri, M.A. (Ed.), Strategic Corporate Communication in the Digital Age, Emerald, UK.

Butler, A. Camilleri, M.A., Creed, A. & Zutshi, A. (2020). The use of mobile learning technologies for corporate training and development: A contextual framework. In Camilleri, M.A. (Ed.), Strategic Corporate Communication in the Digital Age, Emerald, UK.

Camilleri, M.A. (2020). Strategic dialogic communication through digital media during COVID-19. In Camilleri, M.A. (Ed.), Strategic Corporate Communication in the Digital Age, Emerald, UK.

Camilleri, M.A. & Isaias, P. (2020). The businesses’ interactive engagement through digital media. In Camilleri, M.A. (Ed.), Strategic Corporate Communication in the Digital Age, Emerald, UK.

Capriotti, P., Zeler, I. & Camilleri, M.A. (2020). Corporate communication through social networks: The identification of key dimensions for dialogic communication. In Camilleri, M.A. (Ed.), Strategic Corporate Communication in the Digital Age, Emerald, UK.

Hajarian, M., Camilleri, M.A.. Diaz, P & Aedo, I. (2020). A taxonomy of online marketing methods for corporate communication. In Camilleri, M.A. (Ed.), Strategic Corporate Communication in the Digital Age, Emerald, UK.

Mogaji, E., Watat, J.K., Olaleye, S.A. & Ukpabi, D. (2020). Recruit, retain and report: UK universities’ strategic communication with stakeholders on Twitter. In Camilleri, M.A. (Ed.), Strategic Corporate Communication in the Digital Age, Emerald, UK.

Oliveira, C., Martins, A., Camilleri, M.A. & Jayantilal, S. (2020). Using the balanced scorecard for strategic communication and performance management. In Camilleri, M.A. (Ed.), Strategic Corporate Communication in the Digital Age, Emerald, UK.

Oni, O. (2020). Small and medium sized enterprises’ engagement with social media for corporate communication. In Camilleri, M.A. (Ed.), Strategic Corporate Communication in the Digital Age, Emerald, UK.

Riboldazzi, S. & Capriello, A. (2020). Large-scale retailers, digital media and in-store communications. In Camilleri, M.A. (Ed.), Strategic Corporate Communication in the Digital Age, Emerald, UK.

Rios Marques, I., Casais, B. & Camilleri, M.A. (2020). The effect of macro celebrity and micro influencer endorsements on consumer-brand engagement on Instagram. In Camilleri, M.A. (Ed.), Strategic Corporate Communication in the Digital Age, Emerald, UK.

Rodríguez-Gutiérrez, P. (2020). Corporate communication and integrated reporting: the materiality determination process and stakeholder engagement in Spain. In Camilleri, M.A. (Ed.), Strategic Corporate Communication in the Digital Age, Emerald, UK.

Singh, T., Kumar, R. & Kalia, P. (2020). E-marketing practices of micro, small and medium sized enterprises. Evidence from India. In Camilleri, M.A. (Ed.), Strategic Corporate Communication in the Digital Age, Emerald, UK.

Troise, C. & Camilleri, M.A. (2020). The use of the digital media for marketing, CSR communication and stakeholder engagement. In Camilleri, M.A. (Ed.), Strategic Corporate Communication in the Digital Age, Emerald, UK.

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Filed under Analytics, Big Data, Business, corporate communication, Corporate Social Responsibility, COVID19, CSR, digital media, Integrated Reporting, internet technologies, internet technologies and society, Marketing, Mobile, mobile learning, online, performance management, Small Business, SMEs, social media, Stakeholder Engagement, Sustainability, Web

Call for Chapters: Consumer Engagement in Tourism and Hospitality (pre, during and post covid-19)

This academic book will be published by Goodfellow Publishers (Oxford, UK)

consumer interactive engagement in tourism and hospitality

Editors
Prof. Dr. Mark Anthony Camilleri
University of Malta, Malta.
Email: mark.a.camilleri@um.edu.mt

Dr. Rather Raouf
University of Jammu, India.

Prof. Dr. Dimitrios Buhalis
Bournemouth University, UK.

Important Dates
Abstract submission: 31st July 2020
Full chapters due: 31st January 2021
Final submission date: 15th March 2021

Introduction
The customer engagement concept has received lots of attention in different academic disciplines including: organisational behaviour (and employee engagement), psychology (and task engagement), sociology (and civic engagement) as well as in marketing (and branding) (Brodie, Hollebeek, Jurić, & Ilić, 2011; Chu & Kim, 2011; Taheri, Jafari, & O’Gorman, 2014; Buhalis & Foerste, 2015). In a similar vein, the tourism industry practitioners are also recognising the importance of customer engagement as they are increasingly delivering enjoyable, transformative activities that improve the customers’ experiences (Walls, Okumus, Wang, & Kwun, 2011; So, King & Sparks, 2014; Ali, Ryu & Hussain, 2016; Harrigan, Evers, Miles & Daly, 2017; Camilleri, 2019a, 2019b). The latest trends comprise the adaptation of new technologies, interactive service delivery and offerings, and service personalisation (e.g. Hollebeek, Shrivastava, & Chen, 2019; Rather & Camilleri, 2019; Rather, Hollebeek, Islam, 2019; Hollebeek & Rather, 2019).

In tourism research, there are different drivers, antecedents, and/or determinants of customer engagement (So et al., 2014). These may comprise: the customers’ perceptions of authenticity, prior knowledge, mood regulation, brand sincerity, cultural capital, perceived intimacy, and desire for social interaction, among others (Taheri et al., 2014; Ram, Björk & Weidenfeld, 2016; Camilleri, 2018; Liang, Choi & Joppe, 2018; Rather et al., 2019; Fan, Buhalis & Lin, 2019). Existing research has also indicated that there are positive consequences if tourism service providers or destination management organisations engage with their customers, including; loyalty, satisfaction, self-brand connection, co-creation, commitment, positive word-of-mouth and online reviews, as well as purchase intentions (Litvin, Goldsmith & Pan, 2008; Bilgihan, Okumus & Cobanoglu, 2013; Harrigan et al., 2017; Rasoolimanesh, Noor, Schuberth & Jaafar, 2019; Buhalis & Sinarta, 2019; Buhalis, Andreu & Gnoth, 2020). In recent years, there has been a growing focus on the topics of customer engagement and customer experience, as academics started to investigate how customer interact with the businesses through different marketing channels and touch-points (Walls et al., 2011; Lemon & Verhoef, 2016). These stimuli can have an effect on the customers’ purchase decision (Fang, Ye, Kucukusta & Law, 2016). Similarly, the tourism practitioners are using the digital media and mobile technologies to engage with customers to improve their experience (Sigala, Christou & Gretzel, 2012; Camilleri, 2018; Buhalis, 2020). For example, tourism service providers are increasingly using high-fidelity, interactive channels (e.g. virtual reality, social media, online and mobile booking systems) in an attempt to enhance their customers’ experience (Sigala et al., 2012).

However, despite the concepts of customer engagement and customer experience have received significant attention from the industry practitioners, there are gaps in academic knowledge, as there are still limited theoretical and empirical studies that have explored these topics in the tourism context, including; tourist destinations, airlines, cruises, tour operators, travel agencies, accommodation service providers, like hotels, Airbnb operators, timeshare, etc. Moreover, there are even fewer contributions that have explored the effect of the 2019-2020 corona virus pandemic (COVID19) on these sectors. The closure of the international borders as well as the latest travel ban and lock down conditions have inevitably led to grounded air planes, docked cruise ships, idle tour buses, shuttered tourism businesses and tourist attractions. This dramatic situation has resulted in a sudden downward spiral in international tourism arrivals and receipts. In this light, this timely publication will feature high impact research on consumer engagement within the tourism and hospitality: pre, during and post COVID-19.

Detailed Synopsis
This prospective title shall offer a thorough understanding about why there is scope for the tourism service providers and destination management organisations to successfully create, manage, and market tourism experiences. It will also provide theoretical and practical evidence of how, where and when they can seize the opportunities and address the challenges for effective consumer engagement in the tourism arena. Therefore, this book will include conceptual and empirical chapters covering the themes of Tourism Customer Engagement: Dimensions, Theories, and Frameworks; Tourism Customer Engagement: Key Antecedents and Consequences; Tourism Customer Experience: Theories, Structure and Frameworks; Customer Engagement in Evolving Technological Environments; Open innovation Technologies, Co-creation Experiences and Customer Engagement Approaches; and Emerging Issues. It is very likely that the tourism and hospitality businesses will be operating in the context of a “new normal” in a post COVID19 era. The editors are committed to enrich the existing body of academic literature on “Customer
Engagement and Experience in Tourism: pre, during and post COVID-19” by consolidating the marketing topics in the form of a comprehensive volume. Hence, this book will be accepting contributions that are related to the following themes:

• Customer Engagement in Tourism: Dimensionality, Theories and Frameworks
• Tourism engagement conceptualisations
• Dynamic framework of consumer engagement
• Dimensionality (cognitive, emotional, behavioural, and social dimensions) of consumer engagement)
• Typology of consumer engagement
• Employee engagement (emotional, cognitive and behavioural)
• Customer Engagement: Key Antecedents and Consequence
• Key antecedents and/or drivers of consumer engagement
• Customer engagement behaviours in tourism, travel and hospitality
• Key consequences of consumer engagement in tourism
• Tourist engagement and its impact on their satisfaction and behaviours
• Tourism Customer Experience: Theories and Conceptual Frameworks
• Conceptualisations of tourism experience
• Evolution of tourism experience research
• Dynamic framework of the tourist experience
• Key drivers of tourism experience
• Key consequences of tourism experience
• Cognitive, emotional, sensory, social and spiritual dimensions of customer experiences
• Role and measurement of emotions in tourism experiences
• Typology of tourism experience
• The essence of memorable experience
• Service employees and customer experience
• Tourism experiences in the light of global trends
• Issues and opportunities in customer journey mapping in tourism & hospitality experiences
• Open Innovation Technologies, Co-creation Experiences and Customer Engagement
• The role of technology in engagement and service experience
• Virtual reality, augmented reality in tourism engagement and experience
• Games and gamification in tourism, travel and hospitality
• Social media, online brand communities, and mobile applications in tourism engagement and experience
• Co-construction of the tourist engagement and experience in social networking sites
• Role of themes and stories about tourist engagement and experiences
• Role of customer touch points in smart tourism destinations and experiences.
• Open innovation and co-creation approaches
• Co-creation of tourism experience
• Key drivers of co-creation
• Key consequences of co-creation
• Co-creation through service dominant logic (SDL)
• Role of tourists and visitors in service experience for innovation
• Service innovation and value co-creation processes
Emerging Issues
• The socio-economic effects of COVID-19 on tourism and/or hospitality services
• Diversification of tourism and/or hospitality services during/after COVID-19
• The use of digital media during/after COVID-19
• The consumer engagement in a post COVID-19 era

Aims and Objectives
This academic book differentiates itself as it covers consumer engagement and experience in the realms of tourism, Moreover, it will include both theory and practical cases from around the globe.
• This academic book aims to explore and critically investigate the current debates, questions and controversies in the rapidly growing disciplines of Consumer Engagement and Experience in Tourism.
• It brings together leading specialists, including experienced academic researchers from various disciplinary backgrounds and geographical regions, to offer state-of-the-art theoretical reflection and empirical research on contemporary issues and debates in these timely topics.
• It also encourages constructive dialogue among academia across marketing-related fields of study.
• It will be international in its focus, as it transcends national boundaries.

Target Audience
• The book shall be a comprehensive reference point and source for academics who are interested on contemporary concepts, ideas and debates relating to consumer engagement and experience in tourism.
• The target audience of the book will be composed of experienced academic researchers, Ph.D. candidates, post-graduate researchers and advanced under-graduates in the field of consumer engagement, consumer experience and relationship marketing in various disciplines including tourism, hospitality, leisure, festivals and events.
• Furthermore, the book will offer good insights to prospective tourism industry practitioners including managers, executives and other employees who are willing to broaden their knowledge to better engage with consumers.

Submission Details
Academics and researchers are invited to submit a 300-word abstract before the 31st July 2020. Submissions should be sent to Mark.A.Camilleri@um.edu.mt. Authors will be notified about the editorial decision in August 2020. The accepted chapters should be submitted before the 31st January 2021. Their length should be around 7,000 words (excluding references, figures and tables). The manuscripts have to be typed double spaced in Times New Roman, font size 12, in an A4 paper. The contributions should feature the text, in the following sequence: title, abstract, keywords, introduction, literature review, methods, data analysis or interpretation of the findings, conclusions and implications, recommendations for future research, acknowledgements, references and a figure/table captions list in the same Word document. The references should be presented in APA style (Version 6). All submitted chapters will be
critically reviewed on a double-blind review basis. All authors will be requested to serve as reviewers for this book. They will receive a notification of acceptance, rejection or suggested modifications –before the 15th March 2021.

References
Ali, F., Ryu, K., & Hussain, K. (2016). Influence of experiences on memories, satisfaction and behavioral intentions: A study of creative tourism. Journal of Travel & Tourism Marketing, 33(1), 85-100.

Bilgihan, A., Okumus, F., & Cobanoglu, C. (2013). Generation Y travelers’ commitment to online social network websites. Tourism Management, 35, 13-22.

Brodie, R. J., Hollebeek, L. D., Jurić, B., & Ilić, A. (2011). Customer engagement: Conceptual domain, fundamental propositions, and implications for research. Journal of Service Research, 14(3), 252-271.

Buhalis, D. & Foerste, M. (2015). SoCoMo marketing for travel and tourism: Empowering co-creation of value. Journal of Destination Marketing & Management, 4(3), 151-161. https://doi.org/10.1016/j.jdmm.2015.04.001

Buhalis, D. & Sinarta, Y. (2019). Real-time co-creation and nowness service: lessons from tourism and hospitality. Journal of Travel & Tourism Marketing, 36(5), 563-582. https://doi.org/10.1080/10548408.2019.1592059

Fan, D., Buhalis, D. & Lin, B. (2019). A tourist typology of online and face-to-face social contact: Destination immersion and tourism encapsulation/decapsulation, Annals of Tourism Research, 78, https://doi.org/10.1016/j.annals.2019.102757

Buhalis, D. (2020), Technology in tourism-from information communication technologies to eTourism and smart tourism towards ambient intelligence tourism: a perspective article, Tourism Review 75(1), 267-272.

Buhalis D, Andreu L. & Gnoth J. (2020). The dark side of the sharing economy: Balancing value co‐creation and value co‐destruction. Psychology and Marketing. Vol. 37(5), pp.689–704..https://doi.org/10.1002/mar.21344 or https://www.academia.edu/42133651

Camilleri, M.A. (2018). Travel marketing, tourism economics and the airline product. Cham: Springer.

Camilleri, M.A. (Ed.) (2019a). Tourism planning and destination marketing. Bingley: Emerald Publishing.

Camilleri, M. A. (Ed.). (2019b). The Branding of Tourist Destinations: Theoretical and Empirical Insights. Bingley: Emerald Publishing.

Chu, S. C., & Kim, Y. (2011). Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites. International journal of Advertising, 30(1), 47-75.

Fang, B., Ye, Q., Kucukusta, D., & Law, R. (2016). Analysis of the perceived value of online tourism reviews: Influence of readability and reviewer characteristics. Tourism Management, 52, 498-506.

Harrigan, P., Evers, U., Miles, M., & Daly, T. (2017). Customer engagement with tourism social media brands. Tourism Management, 59, 597-609.

Hollebeek, L. D., Srivastava, R. K., & Chen, T. (2019). SD logic–informed customer engagement: integrative framework, revised fundamental propositions, and application to CRM. Journal of the Academy of Marketing Science, 47(1), 161-185.

Lemon, K. N., & Verhoef, P. C. (2016). Understanding customer experience throughout the customer journey. Journal of Marketing, 80(6), 69-96.

Litvin, S. W., Goldsmith, R. E., & Pan, B. (2008). Electronic word-of-mouth in hospitality and tourism management. Tourism Management, 29(3), 458-468.

Rasoolimanesh, S. M., Md Noor, S., Schuberth, F., & Jaafar, M. (2019). Investigating the effects of tourist engagement on satisfaction and loyalty. The Service Industries Journal, 39(7-8), 559- 574.

Ram, Y., Björk, P., & Weidenfeld, A. (2016). Authenticity and place attachment of major visitor attractions. Tourism Management, 52, 110-122.

Rather, R. A., & Camilleri, M. A. (2019a). The effects of service quality and consumer-brand value congruity on hospitality brand loyalty. Anatolia, 30(4), 547-559.

Rather, R. A., & Hollebeek, L. D. (2019). Exploring and validating social identification and social exchange-based drivers of hospitality customer loyalty. International Journal of Contemporary Hospitality Management. 31(3), 1432-1451.

Rather, R. A., Hollebeek, L. D., & Islam, J. U. (2019). Tourism-based customer engagement: the construct, antecedents, and consequences. The Service Industries Journal, 39(7-8), 519-540.

Sigala, M., Christou, E., & Gretzel, U. (Eds.). (2012). Social media in travel, tourism and hospitality: Theory, practice and cases. Farnham, UK: Ashgate Publishing.

So, K. K. F., King, C., & Sparks, B. (2014). Customer engagement with tourism brands: Scale development and validation. Journal of Hospitality & Tourism Research, 38(3), 304-329.

Taheri, B., Jafari, A., & O’Gorman, K. (2014). Keeping your audience: Presenting a visitor engagement scale. Tourism Management, 42, 321-329.

Walls, A. R., Okumus, F., Wang, Y. R., & Kwun, D. J. W. (2011). An epistemological view of consumer experiences. International Journal of Hospitality Management, 30(1), 10-21.

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Filed under consumer brand identification, destination marketing, Hospitality, Marketing

Market Research – Whose job is it?

untitledWho should carry out the research is a very valid question. Do the marketing managers have the right skills and competences to do it themselves? Are they assigning an agency to do this job for them? These are basic considerations to take into account when addressing the captioned question.

Can the businesses dedicate sufficient time and resources to carry out the research themselves? The quality of the data to be collected during fieldwork may be threatened if the sponsor is identified as the surveyor. Marketing managers are expected to act in an assertive and vocal manner. They can sometimes encounter difficulties in adopting a neutral role, particularly when they are researching the market. However, it is important for managers to engage with customers. The research fieldwork would surely increase their understanding of the market in which they operate. It would also give them a better idea of what to expect from other researchers. It may be possible for the marketing managers to get involved in the fieldwork during the pilot stage of the questionnaire.

This will give them a greater appreciation of the strengths and weaknesses of the questionnaire. Most businesses that are serious about customer-centric marketing will have dedicated market research departments; with at least some skilled and experienced members of staff, who would be capable of gathering and analysing data. For instance, airlines use their own staff to carry out day-to-day market research, including an ongoing flight survey analysis. However, airlines may occasionally recruit external  research consultants. External researchers will work in a more objective manner than internal researchers. They will also bring fresh ideas with them.

When external research is commissioned, the role of the airlines’ managers is to define the research problem. They are expected to specify to the researchers their objectives, and to clarify on the information required. It is crucial that they act on the research results after they have been carefully analysed and processed.

Preparing a Brief
The business that is commissioning research should consider a list of specialised agencies which may be appropriate for them. They should choose a reputable research organisation according to its capabilities and expertise. Once a research organisation is chosen, the business should provide a brief to the research organisation, which should include; the business and research objectives; suggestions on how market and consumer data can be collected; the type of research being envisioned (by clearly indicating what are the businesses expectations from this project); question areas to be covered during the research; a realistic time table; and a budget:

research brief

Some may argue that, by revealing to the agency that a large amount of money is available, there is a danger that they will find ways to spend the budgeted figures. It is advisable that the commissioning business will ask for quotes from several research agencies before committing itself with one of them.

The Research Agency’s Proposal
After the agency has been briefed, the agencies should then return a proposal to the business, by an agreed date. The proposal could include the following elements:

a) Statement of objectives: A statement of objectives should clearly reflect the list of objectives that were presented to them, in the brief;

b) Description of how the research will be done: This includes a description of the various research methods that will be used for data collection. They should give details on the sampling method. A breakdown of questionnaire content should be included, as should details on all the data analytical processes to be undertaken. That is, the coding of data and the statistical analysis of quantitative findings. Alternatively, they could explain how qualitative data will be analysed, et cetera. The agency should justify its decision for adopting specific methodologies;

c) Reporting: The proposal should highlight how the research findings will be presented. The proposal should give details on the presentation and tabulation of results.

d) Costs: The agency should also present a clear breakdown of the individual costs for the research project.

Implementation of the Research Plan
Once the management has defined the problem, delineated their research objectives and decided on what information they require, they should proceed to the next stage of the research process. They are expected to design the survey questionnaire and / or prepare a brief for their field interviews.

When the questionnaires have been constructed and tested, it’s time for them to start gathering the data. This entails engaging with a sample of respondents, and examining other research options. This process should be closely monitored (by the marketing manager or the research agency, as appropriate) to ensure that the collected data is valid, reliable and trustworthy.

This stage is the most expensive part of the data collection process, and the agency or the organisations’ management should continuously monitor how the research is being is carried out.

The members of staff who are gathering data have be objective whilst collecting their data, throughout the research fieldwork.

Data Analysis
Having collected the data, marketers must then interpret their findings. Interpretation is easier if the data analytical methods are carefully planned in the research process. The results of the collected data may be a large pile of completed survey questionnaires (if the researchers have used printed questionnaires). Alternatively, the researchers could have annotated their qualitative data in the form of transcripts. The way how the gathered data is analysed and presented is an influential factor of how valuable the research will be. Many research agencies are increasingly using computer software packages to statistically analyse their quantitative findings.

The researchers will draw their own conclusions in writing and may also use data tables. The statistical analyses usually focus on the results, and on what deviates from the variable being measured. These findings will be analysed and interpreted by the researchers, and presented to the respective marketing managers. It is important that they will be in a position to understand the main findings and the research implications.

Preparation and Presentation of a Research Report
The following section provides a useful guideline of what should be featured in a research report. The report will communicate the research findings and the implications of study to the decision makers. Key elements in the report are presented here:

1) Title Page (this area lists the title, client, research agency, date, et cetera);

2) List of Contents;

3) Preface;

4) Summary of the Findings or Conclusions (the summary of the main findings may be accompanied by recommendations);

Points 1-4 provide a concise report of the nature and outcome of the research programme.

5) Previous Related Research (This section indicates how previous knowledge may have a bearing on the research at hand);

6) Research Method (Procedures that are used to collect information; How was the research conducted? – How was the research carried out? – Who were the research participants? – What were the research techniques that were used in the analysis? – The characteristics and size of samples should also be recorded;

7) Results (It is important to provide clear, simple and a logical presentation of the research findings. The results are usually presented through paragraphs, tables and graphs);

8) Conclusions;

9) Appendices.

Points 5-9 provide the detailed evidence from which conclusions, implications and recommendation are derived.

Generally, a report seldom provides answers to all of the research questions under investigation. Thus, the research limitations will have to be pointed out in the report, along with reasonable explanations of the potential weaknesses of the research methodologies, sampling frames and analytical techniques that were employed in the study. Moreover, the research report will only be valuable to the commissioning business it the marketing managers would make a good use of its key findings and recommendations.

 


This is a excerpt from one of my latest chapters.

How to Cite: Camilleri, M. A. (2018). Understanding customer needs and wants. In Travel marketing, tourism economics and the airline product (pp. 29-50). Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-319-49849-2_2

 

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A SWOT Analysis of the Marketing Environment of Higher Education Institutions

This is an excerpt from a recent Working Paper.

How to Cite: Camilleri, M.A. (2019). The Internationalization of Higher Education in a Competitive Marketing Environment. Working Paper 0506-2019, Department of Corporate Communication, University of Malta, Malta.


Strengths

  • Higher Education Institutions (HEIs) raise their financial capital requirements by charging tuition fees to full time, part time and distance learning students; Government-funded HEIs may provide free or reduced tuition fees;
  • Many international courses are taught in English; The English language has become an important lever for international student mobility (ICEF, 2017);
  • Several HEIs provide work-integrated education; they deliver pragmatic, application-oriented programs. The students are may be expected to undertake industry placements as part of their studies. Therefore work-integrated education (WIE) may be a component of the HEIs’ curriculum.
  • Work-integrated education supports students to become all-round professionals with an appropriate level of operational experience. It equips students with a thorough understanding of the business and industry’s operations. WIE would usually take place in an organizational context that is relevant to the students’ future employment prospects. At the same time, the students would obtain communicative and transferable skills that will be valuable for their development. The focus is to help them acquire a range of valuable generic abilities, including people-skills through interactions with peers, subordinates and supervisors. After their working period, the students will be in a position to apply the theories that they have learnt in real-life settings. Hence, students develop their knowledge and skills in a professional environment, whilst increasing the chances of their employability prospects (Kolb & Kolb, 2005);
  • HEIs are increasingly establishing international collaboration agreements with other educational institutions, across borders. They enable student exchange programs and field trips. The classroom teaching is enriched with student exchanges and field trips that provide students relevant on-the-job training;
  • HEIs are building their alumni networks over the years. Many of their students have become business and industry professionals.
  • HEIs are often engaging with business and industry as they provide their consultancy and research services;
  • HEIs offer Executive Development Programs to industry practitioners, allowing them to update their skills, and to broaden their knowledge.

Weaknesses

  • Many HEIs are not managed as profitable organizations;
  • HEIs’ academic employees may become members in trade unions. The unions can use their bargaining power on the university’s administration;
  • HEIs can be slow to respond to the ongoing changes in the business and industry. They may need to adapt their curricula and courses to better meet the prospective employers’ requirements;
  • The HEIs’ academic members of staff may have long contact hours with their students (when compared to other institutions);
  • The HEIs’ academia are not always publishing adequate and sufficient research (when compared to other institutions);
  • The HEIs’ prospective students may be attracted to competitive institutions who are offering cheaper tuition fees. The international prospects will consider the HEIs’ locations and their living expenses;
  • The HEIs’ international marketing efforts may be focusing on limited catchment areas. They may be overlooking promising markets (Constantinides & Zinck Stagno, 2011).

Opportunities

  • HEIs may use educational technology to improve their students’ experience. Educational technologies could enhance the quality of online courses, particularly those that are offered to part-time, or distance learning students;
  • HEIs can utilize blogs, RSS feeds, podcasts, wikis, electronic fora, webinars, et cetera to reach their target audiences. They may use social media and word of mouth marketing by communicating student testimonials, online reviews and ratings, in order to attract students from different markets;
  • HEIs could incentivize their educators and researchers to participate in academic conferences and to publish their work in highly-indexed journals;
  • The setting up of research (or special interest) groups could improve collaboration and teamwork among the HEIs’ members of staff;
  • HEIs’ academics should be encouraged to become members in editorial boards of leading journals;
  • HEIs can offer high-level consultancy and professional advisory services to private and public organizations;
  • HEIs may organize international conferences and fora that can be used as a platform for insightful exchange amongst academics, industry practitioners and tourism policy-makers;
  • HEIs can engage with alumni by involving them in social events, webinars and continuous professional development programs;
  • Industry professionals can be invited to speak to students on specific subject lectures. These experts may help students gain a deeper understanding of the industry;
  • HEIs’ academia should be encouraged to share their research expertise with business and industry to pioneer developments. They should promote their research outputs (Duque, 2014; Parameswaran & Glowacka, 1995). Relevant research can enhance industry performance and influence policy making;
  • HEIs can extend collaborative agreements in many areas, with reputable education institutions;
  • HEIs can obtain quality assurance and accreditations from international awarding bodies, for their educational programs. The recognition of their courses would necessitate a thorough assessment of their leadership, curriculum programs and skills, assessment methods, project work, student placements, student support, feedback and resources, et cetera;
  • The HEIs’ international admissions pages should evidence their ‘global perspective’ and could highlight their extensive range of services they offer to international students. For example, their course prospectus should be available in different languages;
  • There is an increased demand for higher education from mature students as the concept of life-long learning is being promoted in developing and advanced economies;
  • There are still untapped markets in Asia where students can’t access quality education at home. There is a business case to attract students from Africa as the continent’s youth population is rising (British Council, 2018);
  • The HEIs’ international students could be used as brand ambassadors and should be featured in their digital media;
  • HEIs may be supported by student scholarships (from governments, foundations or NGOs) and sponsorships that may be donated by industry partners.

Threats

  • Many HEIs’ national governments have already decreased (or cut) their public funding to HEIs (Estermann, 2017; Estermann, Nokkala & Steinel, 2011; Hoecht, 2006; Maton, 2005). Therefore, HEIs may have to raise their capital requirements through tuition fees and fund-raising activities;
  • There is a very competitive environment (in the global market). HEIs are increasingly targeting international students from many markets;
  • Many countries (including developing economies) have improved (or are improving) their educational systems. However, there may be students who decide to go abroad because they believe that there is neither capacity nor high-quality education at their home country (ICEF, 2017);
  • The ageing populations in many parts of the world, their greater life expectancies, coupled with lower fertility rates, means that populations in many countries are getting older. At the same time, the 15-to-24-year-old cohorts are shrinking. This key college-aged demographic will peak in Asia somewhere around 2020. Then it will start a gradual decline from that high point (British Council, 2018);
  • There may be political, socio-cultural and legal factors affecting the marketing of HEIs. International students may face travel restrictions. Rigorous travel formalities including the issuance of national visas and immigration policies, can affect the students choice of their prospective HEI;
  • Reduced scholarships and student exchange programs from foreign governments can have an impact on the number of students who may afford international mobility;
  • A growing number of Asian students are choosing to stay within their own region to study, and students from other countries – including African nations– are adding Asian destinations to their list of attractive options. Asian countries, including China, Japan, South Korea, Singapore and Malaysia, among others, are increasing their capacity to absorb international students. Students and families are placing more emphasis on value, and on the return on investment from overseas education. Therefore, students may opt to study close to their home;
  • There are growing indications that major employers are placing less emphasis on reputable HEIs and their brand identities (ICEF, 2017).

References (of the full paper)

Altbach,P.G. 2004.Globalisation and the university: Myths and realities in an unequal world. Tertiary Education and Management,10(1): 3-25.

Altbach, P. G., Reisberg, L., & Rumbley, L. E. 2009. Trends in global higher education: Tracking an academic revolution. A Report for UNESCO World Conference of Higher Education. http://www.cep.edu.rs/public/Altbach,_Reisberg,_Rumbley_Tracking_an_Academic_Revolution,_UNESCO_2009.pdf accessed 20th February, 2018.

Beine, M., Noël, R., & Ragot, L. 2014. Determinants of the international mobility of students. Economics of Education review, 41: 40-54.

Bharadwaj, S. G., Varadarajan, P. R., & Fahy, J. 1993. Sustainable competitive advantage in service industries: a conceptual model and research propositions. The Journal of Marketing, 57(4): 83-99.

Binsardi, A., & Ekwulugo, F. 2003. International marketing of British education: research on the students’ perception and the UK market penetration. Marketing Intelligence & Planning, 21(5): 318-327.

British Council. 2018. International student mobility to 2027: Local investment, global outcomes. https://ei.britishcouncil.org/educationintelligence/ei-feature-international-student-mobility-2027-local-investment-global-outcome (accessed 17th February, 2018).

Budde-Sung, A. E. 2011. The increasing internationalization of the international business classroom: Cultural and generational considerations. Business Horizons, 54(4): 365-373.

Camilleri, M. A., & Camilleri, A. C. (2017). Digital learning resources and ubiquitous technologies in education. Technology, Knowledge and Learning, 22(1), 65-82.

Constantinides, E., & Zinck Stagno, M. C. 2011. Potential of the social media as instruments of higher education marketing: a segmentation study. Journal of marketing for higher education, 21(1): 7-24.

Cronin Jr, J. J., & Taylor, S. A. 1992. Measuring service quality: a reexamination and extension. Journal of marketing, 56(3):55-68.

Doque, L. C. 2014. A framework for analysing higher education performance: students’ satisfaction, perceived learning outcomes, and dropout intentions. Total Quality Management & Business Excellence 25(1-2): 1-21.

Estermann, T. 2017. Why university autonomy matters more than ever. University World News, (454), http://www.universityworldnews.com/article.php?story=20170404132356742 (Accessed 28th February, 2018).

Estermann, T., Nokkala, T., & Steinel, M. 2011. University autonomy in Europe II. The Scorecard. Brussels: European University Association. http://agir-ups.info/wp-content/uploads/2013/01/University_Autonomy_in_Europe_II_-_The_Scorecard.sflb_.pdf (Accessed 28th February, 2018).

EUA 2017. EUA calls on governments to refrain from interference in university autonomy. http://www.eua.be/activities-services/news/newsitem/2017/04/03/eua-calls-on-governments-to-refrain-from-interference-in-university-autonomy (Accessed 26th February, 2018).

Friga, P.N., Bettis, R.A. & Sullivan, R.S. 2003. Changes. In graduate management education and new business school strategies for the 21st century. Academy of Management Learning and Education, 2(3): 233—249

Helms, M. M., & Nixon, J. 2010. Exploring SWOT analysis–where are we now? A review of academic research from the last decade. Journal of strategy and management, 3(3): 215-251.

Hemsley-Brown, J., & Oplatka, I. 2006. Universities in a competitive global marketplace: A systematic review of the literature on higher education marketing. International Journal of public sector management, 19(4): 316-338.

Hoecht, A. 2006. Quality assurance in UK higher education: Issues of trust, control, professional autonomy and accountability. Higher Education, 51(4): 541—563.

ICEF 2017. Mapping the trends that will shape international student mobility. http://monitor.icef.com/2017/07/mapping-trends-will-shape-international-student-mobility/ (Accessed 28th February, 2018).

Kolb, A. Y., & Kolb, D. A. 2005. Learning styles and learning spaces: Enhancing experiential learning in higher education. Academy of management learning & education, 4(2): 193-212.

Kotler, P., & Fox, K. F. 1995. Strategic marketing for educational institutions. New York, USA: Prentice Hall.

Lee, J. T. 2014. Education hubs and talent development: Policy- making and implementation challenges. Higher Education, 68(6): 807—823.

Marginson, S. 2006. Dynamics of national and global competition in higher education. Higher Education, 52(1): 1-39.

Maton, K. 2005. A question of autonomy: Bourdieu’s field approach and higher education policy. Journal of education policy, 20(6): 687-704.

Mazzarol, T. 1998. Critical success factors for international education marketing. International Journal of Educational Management, 12(4): 163-175.

Mazzarol, T., & Soutar, G. N. 2002. “Push-pull” factors influencing international student destination choice. International Journal of Educational Management, 16(2): 82-90.

Moore, M. G., & Kearsley, G. 2011. Distance education: A systems view of online learning. Belmont, CA, USA: Cengage Learning.

Parameswaran, R., & Glowacka, A. E. 1995. University image: An information processing perspective. Journal of Marketing for Higher Education, 6(2): 41-56.

Pucciarelli, F., & Kaplan, A. 2016. Competition and strategy in higher education: Managing complexity and uncertainty. Business Horizons, 59(3): 311-320.

Russell, M. 2005. Marketing education: A review of service quality perceptions among international students. International Journal of Contemporary Hospitality Management, 17(1): 65-77.

Schofield, C., Cotton, D., Gresty, K., Kneale, P., & Winter, J. 2013. Higher education provision in a crowded marketplace. Journal of Higher Education Policy and Management, 35(2): 193-205.

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Announcing a Call for Chapters (for Springer)

Call for Chapters

Strategic Corporate Communication and Stakeholder Engagement in the Digital Age

 

Abstract submission deadline: 30th June 2019 (EXTENDED to the 30th September 2019)
Full chapters due: 31st December 2019

 

Background

The latest advances in technologies and networks have been central to the expansion of electronic content across different contexts. Contemporary communication approaches are crossing boundaries as new media are offering both challenges and opportunities. The democratisation of the production and dissemination of information via the online technologies has inevitably led individuals and organisations to share content (including images, photos, news items, videos and podcasts) via the digital and social media. Interactive technologies are allowing individuals and organisations to co-create and manipulate electronic content. At the same time, they enable them to engage in free-flowing conversations with other online users, groups or virtual communities (Camilleri, 2017). Innovative technologies have empowered the organisations’ stakeholders, including; employees, investors, customers, local communities, government agencies, non-governmental organisations (NGOs), as well as the news media, among others. Both internal and external stakeholders are in a better position to scrutinise the organisations’ decisions and actions. For this reason, there is scope for the practitioners to align their corporate communication goals and activities with the societal expectations (Camilleri, 2015; Gardberg & Fombrun, 2006). Therefore, organisations are encouraged to listen to their stakeholders. Several public interest organisations, including listed businesses, banks and insurance companies are already sharing information about their financial and non-financial performance in an accountable and transparent manner. The rationale behind their corporate disclosures is to develop and maintain strong and favourable reputations among stakeholders (Camilleri, 2018; Cornelissen, 2008). The corporate reputation is “a perceptual representation of a company’s past actions and future prospects that describe the firm’s overall appeal to all of its key constituents when compared to other leading rivals” (Fombrun, 1996).

Business and media practitioners ought to be cognisant about the strategic role of corporate communication in leveraging the organisations’ image and reputation among stakeholders (Van Riel & Fombrun, 2007). They are expected to possess corporation communication skills as they need to forge relationships with different stakeholder groups (including employees, customers, suppliers, investors, media, regulatory authorities and the community at large). They have to be proficient in specialist areas, including; issues management, crises communication as well as in corporate social responsibility reporting, among other topics. At the same time, they should be aware about the possible uses of different technologies, including; artificial intelligence, augmented and virtual reality, big data analytics, blockchain and internet of things, among others; as these innovative tools are disrupting today’s corporate communication processes.

 

Objective

This title shall explain how strategic communication and media management can affect various political, economic, societal and technological realities. Theoretical and empirical contributions can shed more light on the existing structures, institutions and cultures that are firmly founded on the communication technologies, infrastructures and practices. The rapid proliferation of the digital media has led both academics and practitioners to increase their interactive engagement with a multitude of stakeholders. Very often, they are influencing regulators, industries, civil society organisations and activist groups, among other interested parties. Therefore, this book’s valued contributions may include, but are not restricted to, the following topics:

 

Artificial Intelligence and Corporate Communication

Augmented and Virtual Reality in Corporate Communication

Blockchain and Corporate Communication

Big Data and Analytics in Corporate Communication

Branding and Corporate Reputation

Corporate Communication via Social Media

Corporate Communication Policy

Corporate Culture

Corporate Identity

Corporate Social Responsibility Communications

Crisis, Risk and Change Management

Digital Media and Corporate Communication

Employee Communications

Fake News and Corporate Communication

Government Relationships

Integrated Communication

Integrated Reporting of Financial and Non-Financial Performance

Internet Technologies and Corporate Communication

Internet of Things and Corporate Communication

Investor Relationships

Issues Management and Public Relations

Leadership and Change Communication

Marketing Communications

Measuring the Effectiveness of Corporate Communications

Metrics for Corporate Communication Practice

Press and Media Relationships

Stakeholder Management and Communication

Strategic Planning and Communication Management

 

This publication shall present the academics’ conceptual discussions that cover the contemporary topic of corporate communication in a concise yet accessible way. Covering both theory and practice, this publication shall introduce its readers to the key issues of strategic corporate communication as well as stakeholder management in the digital age. This will allow prospective practitioners to critically analyse future, real-life situations. All chapters will provide a background to specific topics as the academic contributors should feature their critical perspectives on issues, controversies and problems relating to corporate communication.

This authoritative book will provide relevant knowledge and skills in corporate communication that is unsurpassed in readability, depth and breadth. At the start of each chapter, the authors will prepare a short abstract that summarises the content of their contribution. They are encouraged to include descriptive case studies to illustrate real situations, conceptual, theoretical or empirical contributions that are meant to help aspiring managers and executives in their future employment. In conclusion, each chapter shall also contain a succinct summary that should outline key implications (of the findings) to academia and / or practitioners, in a condensed form. This will enable the readers to retain key information.

 

Target Audience

This textbook introduces aspiring practitioners as well as under-graduate and post-graduate students to the subject of corporate communication – in a structured manner. More importantly, it will also be relevant to those course instructors who are teaching media, marketing communications and business-related subjects in higher education institutions, including; universities and colleges. It is hoped that course conveners will use this edited textbook as a basis for class discussions.

 

Submission Procedure

Senior and junior academic researchers are invited to submit a 300-word abstract on or before the 30th June 2019. Submissions should be sent to Mark.A.Camilleri@um.edu.mt. Authors will be notified about the editorial decision during July 2019. The length of the chapters should be between 6,000- 8,000 words (including references, figures and tables). These contributions will be accepted on or before the 31st December 2019. The references should be presented in APA style (Version 6). All submitted chapters will be critically reviewed on a double-blind review basis. The authors’ and the reviewers’ identities will remain anonymous. All authors will be requested to serve as reviewers for this book. They will receive a notification of acceptance, rejection or suggested modifications – on or before the 15th February 2020.

Note: There are no submission or acceptance fees for the publication of this book. All abstracts / proposals should be submitted via the editor’s email.

 

Editor

Mark Anthony Camilleri (Ph.D. Edinburgh)
Department of Corporate Communication,
Faculty of Media and Knowledge Sciences,
University of Malta, MALTA.
Email: mark.a.camilleri@um.edu.mt

 

Publisher

Following the double-blind peer review process, the full chapters will be submitted to Springer Nature for final review. For additional information regarding the publisher, please visit https://www.springer.com/gp. This prospective publication will be released in 2020.

 

Important Dates

Abstract Submission Deadline:          30th June 2019 30th September 2019
Notification of Acceptance:               31st July 2019 31st October 2019

Full Chapters Due:                             31st December 2019

Notification of Review Results:         15th February 2020
Final Chapter Submission:                 31st March 2020

Final Acceptance Notification:          30th April, 2020

References

Camilleri, M.A. (2015). Valuing Stakeholder Engagement and Sustainability Reporting. Corporate Reputation Review18(3), 210-222. https://link-springer-com.ejournals.um.edu.mt/article/10.1057/crr.2015.9

Camilleri, M.A. (2017). Corporate Sustainability, Social Responsibility and Environmental Management, Cham, Switzerland: Springer Nature. https://www.springer.com/gp/book/9783319468488

Camilleri, M.A. (2018). Theoretical Insights on Integrated Reporting: The Inclusion of Non-Financial Capitals in Corporate Disclosures. Corporate Communications: An International Journal23(4), 567-581. https://www.emeraldinsight.com/doi/full/10.1108/CCIJ-01-2018-0016

Cornelissen, J.P. (2008). Corporate Communication. The International Encyclopedia of Communication. https://onlinelibrary.wiley.com/doi/abs/10.1002/9781405186407.wbiecc143.pub2

Fombrun, C.J. (1995). Reputation: Realizing Value from the Corporate Image. Cambridge, MA, USA: Harvard Business School Press.

Gardberg, N.A., & Fombrun, C. J. (2006). Corporate Citizenship: Creating Intangible Assets across Institutional Environments. Academy of Management Review31(2), 329-346. https://journals.aom.org/doi/abs/10.5465/AMR.2006.20208684

Van Riel, C.B., & Fombrun, C.J. (2007). Essentials of Corporate Communication: Implementing Practices for Effective Reputation Management. Oxford, UK: Routledge. http://repository.umpwr.ac.id:8080/bitstream/handle/123456789/511/Essentials%20of%20Corporate%20Communication.pdf?sequence=1

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Filed under Analytics, Big Data, blockchain, branding, Business, Corporate Governance, Corporate Social Responsibility, Corporate Sustainability and Responsibility, CSR, digital media, ESG Reporting, Higher Education, Human Resources, Impact Investing, Integrated Reporting, internet technologies, internet technologies and society, Marketing, online, Shared Value, Stakeholder Engagement, Sustainability, Web

The Customers’ Brand Identification with Luxury Hotels: A Social Identity Perspective

This is an excerpt from one of my latest papers.

How to Cite: Rather, R.A. & Camilleri, M.A. (2019). The Customers’ Brand Identification with Luxury Hotels: A Social Identity Perspective. In Harrison, T. & Brennan, M. (Eds.) 2019 AMS World Marketing Congress. University of Edinburgh, Scotland (July 2019). Academy of Marketing Science (Download Now).

 

Relevant theoretical underpinnings on the social identity theory (SIT) suggests that the consumers’ self-expressions are somewhat associated with their relationships with firms and brands (Rather & Hollebeek, 2019; Fujita, Harrigan & Soutar, 2018; Elbedweihy, Jayawardhena, Elsharnouby & Elsharnouby, 2016; So, King & Sparkes, 2014; So, King, Sparks & Wang, 2013; Bhattacharya & Sen, 2003). For this reason, this paper relied on the SIT perspective to explore the consumer-brand relationships (Elbedweihy et al., 2016; Lam, Ahearne, Mullins, Hayati, & Schillewaert, 2013; Ahearne, Bhattacharya & Gruen 2005).

The individual consumers form part of a social group who regularly experience the delivery of services (Fujita et al., 2018; Huang, Cheng, & Chen, 2017; Elbedweihet al., 2016; So et al., 2013; Kuenzel & Halliday, 2008; Bhattacharya & Sen, 2003). Hence, the service brands can be considered as the facilitators of the consumers’ social identity and expression as individuals can identify with brands if they perceive that they match their self-concept (Stokburger-Sauer, Ratneshwar, & Sen, 2012; Homburg, Wieseke & Hoyer, 2009). In a similar vein, the customer-brand identification (CBI) concept describes the relationships between the brands and their customers, as it explicates how the brands relate to the individuals’ self-concept (Martinez & Rodriguez del Bosque, 2013). Many brands are increasingly looking after their existing customers by satisfying their various needs, wants and desires (Chaudhuri & Holbrook, 2001; Martinez & Rodriguez del Bosque, 2014). They do so to retain their existing customers. The loyal customers are usually willing to pay more, spend more and recommend more than new prospects (Martinez & Rodriguez del Bosque, 2014; Harris & Goode, 2004).

The subject of brand loyalty has been explored extensively in the marketing literature. Past studies have often focused on the antecedents of loyalty, including;  customer satisfaction (Popp & Woratschek, 2017), trust (Martinez & Rodriguez del Bosque, 2014; So et al., 2013), perceived service quality (So et al., 2013), commitment (Narteh, Agbemabiese, Kodua, & Braimah, 2013; Su, Swanson, Chinchanachokchai, Hsu, & Chen, 2016), customer engagement (Rather, Hollebeek & Islam, 2019; So et al., 2014), as well as perceived value (So et al., 2013), among other constructs. Notwithstanding, CBI has been investigated in different research contexts, and has often yielded contradictory results. For instance, Su et al. (2016) indicated that brand identification was not significant in predicting customer loyalty. While other studies suggested that the relationship between customer retention, word-of-mouth and loyalty were positive and significant (Kuenzel & Halliday, 2008); other research reported that there is a correlation between CBI and customer loyalty (Rather & Hollebeek, 2019; Martinez & Rodriguez del Bosque, 2013; 2014). However, the literature did not devote sufficient attention to discover the antecedents of CBI, albeit a few exceptions (Su et al., 2016; So et al., 2013; Keh & Xie, 2009).

 

Research Question

Previous theoretical underpinnings and empirical studies have contributed to advancing our knowledge on brand loyalty and customer-brand relationships (Ahearne et al., 2005; Bhattacharya & Sen, 2003; Fujita et al., 2018; He, Li, & Harris, 2012; So et al., 2013). However, there is still a gap in the extent literature that explores CBI by using the social identity perspective (Ahearne, et al., 2005; Choo, Park, & Petrick, 2011; Elbedweihy et al., 2016; He et al., 2012; Martinez and Rodriguez del Bosque, 2014; Popp & Woratschek, 2017; So et al., 2013; Su et al., 2016). Hence, this paper addresses this lacuna in academic literature. The aim of this study is to provide further empirical evidence on the CBI construct (Keh & Xie, 2009; Su et al., 2016). To the best of our knowledge, few studies have combined the social identity theory with social exchange factors to explain the determinants of hotel brand loyalty. Many researchers maintain that by incorporating the social identity (Rindfleisch, Burroughs, & Wong, 2009; Homburg et al., 2009; Tajfel & Turner, 1986) and the service dynamics (Harris & Goode, 2004; Martinez & Rodriguez del Bosque, 2014) they would better understand the psychological processes that are linked to brand loyalty. Prior empirical studies in the hospitality context did not incorporate certain aspects of brand loyalty, including the mediating effects of commitment, satisfaction and trust. Hence, this research differentiates itself from other contributions; by building on the foundations of previous research on the social identity perspective of customer-brand loyalty. However, it considers the direct and indirect effects of social exchange variables from the marketing science literature, to explore the causal path from CBI to brand loyalty. In sum, this study addresses the following research questions: (i) How is CBI related to customer satisfaction? (ii) How is CBI related to trust? (iii) Is CBI different from customer commitment? (iv) Are CBI, customer satisfaction and commitment influencing brand loyalty?

 

References (featuring all the references that appeared in the full paper)

Ahearne, M., Bhattacharya, C. B., & Gruen, T. (2005). Antecedents and consequences of customer–company identification: expanding the role of relationship marketing. Journal of Applied Psychology, 90(3), 574-585.

Al-Wugayan, A., Pleshko, L., & Baqer, S. (2008). An investigation of the relationships among consumer satisfaction, loyalty, and market share in Kuwaiti loan services. Journal of Financial Services Marketing, 13(2), 95-106.

Anderson, E. W., Fornell, C., & Lehmann, D. R. (1994). Customer satisfaction, market share, and profitability: findings from Sweden.  Journal of Marketing, 5(8), 53-66.

Ashforth, B. E., & Mael, F. (1989). Social identity theory and the organization. Academy of Management Review, 14, 20-39.

Bai, B., Law, R., & Wen, I. (2008). The impact of website quality on customer satisfaction and purchase intentions: Evidence from Chinese online visitors. International journal of hospitality management27(3), 391-402.

Bentler, P. M., & Bonnett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588-606.

Bhattacharya, C. B., & Sen, S. (2003). Consumer company identification: a framework for understanding consumers’ relationships with companies. Journal of Marketing, 67(2), 76-88.

Bowden, J. L. H. (2009). The process of customer engagement: A conceptual framework. Journal of marketing theory and practice17(1), 63-74.

Bowden, J. L., Dagger, T, S., & Elliott, G. (2013). Engaging customers for loyalty in the restaurant industry: the role of satisfaction, trust, and delight. Journal of Foodservice Business Research, 16(1), 52-75.

Camilleri, M. A. (2017). Understanding customer needs and wants. In Camilleri, M.A. (Ed.) Travel marketing, tourism economics and the airline product (pp. 29-50). Cham, Switzerland: Springer Nature.

Camilleri, M.A. (2018). The Marketing Environment of Tourist Destinations. In Camilleri, M.A. (Ed.) The Branding of Tourist Destinations: Theoretical and Empirical Insights. Bingley, UK: Emerald Publishing Limited.

Caruana, A. (2002). Service loyalty: The effects of service quality and the mediating role of customer satisfaction. European journal of marketing36(7/8), 811-828.

Chaudhuri, A., & Holbrook, M. (2001). The chain of effects from brand trust and brand affect to brand performance: The role of brand loyalty. Journal of Marketing, 65(2), 81-93.

Choo, H., Park, S.Y., & Petrick, J. F. (2011). The influence of the resident’s identification with a tourism destination brand on their behavior. Journal of Hospitality Marketing & Management, 20(2), 198-216.

Elbedweihy, A., Jayawardhena, C., Elsharnouby, M. H., & Elsharnouby, T. H. (2016). Customer relationship building: The role of brand attractiveness and consumer-brand identification. Journal of Business Research, 69, 2901-2910

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.

Fujita, M., Harrigan, P., & Soutar, G. N. (2018). Capturing and co-creating student experiences in social media: a social identity theory perspective. Journal of Marketing Theory and Practice26(1-2), 55-71.

Hair, J. F., Anderson, R. E., Babin, B. J., & Black, W. C. (2010). Multivariate data analysis: A global perspective (Vol. 7). Upper Saddle River, NJ: Pearson.

Han, H., & Hyun, S. S. (2013). Image congruence and relationship quality in predicting switching intention conspicuousness of product use as a moderator variable. Journal of Hospitality & Tourism Research, 37(3), 303-329.

Harris, L. C., & Goode, M. M. H. (2004). The four levels of loyalty and the pivotal role of trust: a study of online service dynamics. Journal of Retailing, 80(2), 139-158.

He, H., & Li, Y. (2011). CSR and service brand: the mediating effect of brand identification and moderating effect of service quality. Journal of Business Ethics, 100, 673-688.

He, H., Li, Y., & Harris, L. (2012). Social identity perspective on brand loyalty. Journal of Business Research, 65, 648-657.

Hennig-Thurau, T., Gwinner, K. P., & Gremler, D. D. (2002). Understanding relationship mmarketing outcomes: an integration of relational benefits and relationship quality. Journal of Service Research, 4(3), 230-247.

Homburg, C., Wieseke, J., & Hoyer, W. D. (2009). Social identity and the service-profit chain. Journal of Marketing, 73(2) 38-54.

Huang, C. C. (2017). The impacts of brand experiences on brand loyalty: mediators of brand love and trust. Management Decision55(5), 915-934.

Huang, M. H., Cheng, Z. H., & Chen, I. C. (2017). The importance of CSR in forming customer-company identification and long-term loyalty. Journal of Services Marketing31(1), 63-72.

Jani, D., & Han, H. (2011). Investigating the key factors affecting behavioral intentions: Evidence from a full-service restaurant setting. International Journal of Contemporary Hospitality Management, 23(7), 1000-1018.

Keh, H. T., & Xie, Y. (2009). Corporate reputation and customer behavioral intentions: The role of trust, identification and commitment. Industrial Marketing Management, 38, 732-742.

Kuenzel, S., & Halliday, S.V. (2008). Investigating antecedents and consequences of brand identification. Journal of Product and Brand Management, 17, 293-304.

Lam, S. K., Ahearne, M., Mullins, R., Hayati, B., & Schillewaert, N. (2013). Exploring the dynamics of antecedents to consumer–brand identification with a new brand. Journal of the Academy of Marketing Science, 41(2) 234-252.

Liat, C. B., Mansori, S., Chuan, G. C., & Imrie, B. C. (2017). Hotel service recovery and service quality: influences of corporate image and generational differences in the relationship between customer satisfaction and loyalty. Journal of Global Marketing, 30(1), 42-51.

Martinez, P., & Rodriguez Del Bosque Rodriguez, I. (2013). CSR and customer loyalty: The roles of trust, customer identification with the company and satisfaction. International Journal of Hospitality Management, 35, 89-99.

Martinez, P., & Rodriguez Del Bosque Rodriguez, I. (2014). Exploring the antecedents of hotel customer loyalty: A social identity perspective. Journal of Hospitality Marketing & Management, 24(1), 1-23.

Moorman, C., Zaltman, G., & Deshpande, R. (1992). Relationships between providers and users of marketing research: The dynamics of trust within and between organizations. Journal of Marketing Research, 29, 314-328.

Morgan, R., & Hunt, S. (1994). The commitment-trust theory of relationship marketing. Journal of Marketing, 58, 20-38.

Narteh, B., Agbemabiese, G. C., Kodua, P., & Braimah, M. (2013). Relationship marketing and customer loyalty: Evidence from the Ghanaian luxury hotel industry. Journal of Hospitality Marketing & Management, 22(4), 407-436.

Nam, J., Ekinci, Y., & Whyatt, G. (2011). Brand equity, brand loyalty and consumer satisfaction. Annals of tourism Research38(3), 1009-1030.

Oliver, R.L., (1997). Satisfaction: A Behavioral Perspective on the Consumer. McGraw- Hill, New York.

Popp, B., & Woratschek, H. (2017). Consumer-brand identification revisited: an integrative framework of brand identification, customer satisfaction, and price image and their role for brand loyalty and word of mouth. Journal of Brand Management, 1-21.

Rather, R. A., & Hollebeek, L. D. (2019). Exploring and validating social identification and social exchange-based drivers of hospitality customer loyalty.

International Journal of Contemporary Hospitality Management. https://www.emeraldinsight.com/doi/abs/10.1108/IJCHM-10-2017-0627

Rather, R. A., Hollebeek, L. D., & Islam, J. U. (2019). Tourism-based customer engagement: the construct, antecedents, and consequences. The Service Industries Journal. https://www.tandfonline.com/doi/abs/10.1080/02642069.2019.1570154?journalCode=fsij20

Rindfleisch, A., Burroughs, J., &Wong, N. (2009). The safety of objects: materialism, existential insecurity, and brand connection. Journal of Consumer Research, 36(1), 1-16.

So, K. K. F., King, C., Sparks, B., & Wang, Y. (2013). The influence of customer-brand identification on hotel brand evaluation and loyalty development. International Journal of Hospitality Management, 34, 31-41.

So, K. K. F., King, C., & Sparks, B. (2014). Customer engagement with tourism brands: Scale development and validation. Journal of Hospitality & Tourism Research, 38(3), 304-329.

Song, H., Li, G., van der Veen, R., & Chen, J. L. (2011). Assessing mainland Chinese tourists satisfaction with Hong Kong using tourist satisfaction index. International Journal of Tourism Research, 13, 82-96.

Stokburger-Sauer, N., Ratneshwar, S, & Sen, S. (2012) Drivers of consumer-brand identification. International Journal of Research in Marketing, 29(4), 406-418.

Su, L., Swanson, S. R., Chinchanachokchai, S., Hsu, M. K., & Chen, X. (2016). Reputation and intentions: the role of satisfaction, identification, and commitment. Journal of Business Research69(9), 3261-3269.

Sung, Y., & Campbell, W. K. (2009). Brand commitment in consumer–brand relationships: An investment model approach. Journal of Brand Management17(2), 97-113.

Tajfel, H., & Turner, J. C. (1986). The social identity theory of inter-group behavior. In S. Worchel & L. W. Austin (Eds.), Psychology of intergroup relations (pp. 7–24). Chicago, IL: Nelson-Hall.

Tuskej, U., Golob, U., & Podnar, K. (2013). The role of consumer-brand identification in building brand relationships. Journal of Business Research, 66, 53-59.

Underwood, R., Bond, E., & Baer, R. (2001). Building service brands via social identity: lessons from the sports marketplace. Journal of Marketing Theory and Practice, 9, 1-13.

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Data-Driven Marketing Technologies and Disruptive Innovations

The latest disruptive technologies are supporting  the  marketing mix elements as they can improve the businesses’ interactive engagement with prospective customers, and enhance their personalization of services. They  may also provide secure pricing options.

Many firms are evolving from their passive, rigid, and product-centric state to a more flexible, dynamic, and customer-centric environment. Technology is enabling data-driven companies to monitor and detect any changes in consumer sentiment. Savvy technology giants including Facebook, Amazon, Microsoft and Google are capturing (and analyzing) the online and mobile activity of prospective customers. Their analytics captures the consumers’ interactions with brands and companies through digital media. Big data is enabling them to target and re-target individu­als and online communities with instantaneous pricing and access options, across multiple channels (via web-site activity, mobile,video, social media, e-commerce, among others). 

Mobile tracking technologies are being utilized by big technology conglomerates as they gather information on the consumer behaviours, including their shopping habits, lifestyle preferences , et cetera. Businesses have learnt how to take advantage of on-demand, real-time information from sensors, radio frequency identification and other location tracking devices to better understand their marketing environments at a more granular level (Storey and Song, 2017). This way business could come up with personalised products and services, that are demanded by individual customers. From a business perspective, it is important to acquire this data, quickly, and in high velocities.

Many businesses are already benefiting of the programmatic advertising environment; where buyers and sellers of digital advertising connect online to exchange available inventory (Busch,2016; Stevens et al., 2016).  The challenge for tomorrow’s businesses is to recognize the value of smart technologies as effective tools that can help them analyse their marketing environment; that comprise their customers as well as their competitors.

The predictive-analytical tools can examine different scenarios as they can anticipate what will happen, when it will happen, and can explain why it happens. These technologies can monetise data by identifying revenue generating opportunities and cost savings.

Other innovations, including; blockchain’s distributed ledger technologies are improving data privacy. This technology involves the verification and the secure recording of transactions among an interconnected set of users. Blockchain tracks the ownership of assets before, during, and after any online transaction. Therefore, this technology could be used by different businesses to facilitate their transactions with marketplace stakeholders, including; suppliers, intermediaries, and consumers across borders. The block chain will probably be more convenient than other payment options, in terms of time and money. Therefore, blockchain’s ledger technology can possibly lead to better customer service levels and operational efficiencies for businesses.

The smart tourism technologies, including big data analytics are shifting how organisations collect, analyze and utilise and distribute data. A thorough literature review suggests that the crunching of big data analytics is generating meaningful insights and supporting tourism marketers in their decision making. Moreover,other technologies, including the programmatic advertising and block chain are helping them to improve their financial and strategic performance, whilst minimizing costs. Table 1 illustrates how smart tourism businesses are capturing, analysing and distributing data.

Table 1. Data-driven approaches for smart tourism

(Camilleri, 2018)

Emerging Trends and Future Research

Tomorrow’s tourism businesses will be serving customers from geographically-diverse regions. There will be more travellers from emerging markets and developing economies. The tourism service providers will have to cater to different demographics, including senior citizens and individuals with special needs; as the populations are getting older in many countries.

Therefore,  smart technologies can be used to anticipate the discerned consumers’ requirements. For instance, the use of programmatic advertising will probably increase the individuals’ intuitive shopping experiences and can tap into the individuals’ discretionary purchases.

It is very likely, that the third-party retailers will continue to form part of the distribution mix. However, many service providers will be using their direct channels to reach out to their targeted customers. 

The sales of products will continue to rely on mobile devices with increased consumer interactions through speech and voice recognition software. The service providers may possibly rely on artificial intelligence and other forms of cognitive learning capabilities, like machine learning and deep learning.

The businesses’ distributive systems could interface with virtual reality software to help online intermediaries to merchandise their products in captivating customer experiences. Many online prospects may use blockchain’s secure technology to purchase tourism products, in the foreseeable future.

This contribution calls for further empirical research that could explore smart tourism innovations for individuals and organisations, including; mobile social networking, mobile visualisation, personalization and behavioural modelling for mobile apps, programmatic advertising, blockchain, AI, and the internet of things, among other areas.

References

Busch, O. (2016), “The programmatic advertising principle”, In Programmatic Advertising (pp. 3-15). Springer, Cham, Switzerland.

Camilleri, M.A. (2018) Data-Driven Marketing and Disruptive Technologies. Working Paper 08/2018, Department of Corporate Communication, University of Malta. 

Stevens, A., Rau, A., and McIntyre, M. (2016), “Integrated campaign planning in a programmatic world”, In Programmatic Advertising (pp. 193-210), Springer, Cham, Switzerland. 

Storey, V. C., and Song, I. Y. (2017), “Big data technologies and Management: What conceptual modeling can do?”, Data and Knowledge Engineering, Vol. 108, pp. 50-67.

 

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