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Submit your paper to Sustainability’s special issue on smart cities and digital innovation

I am co-editing a Special issue for Sustainability (IF: 2.592). Your contributions should be related to “The Sustainable Development of Smart Cities through Digital Innovation”

Deadline for manuscript submissions: 31 October 2020.

Special Issue Information

The ‘smart city’ concept has been wrought from distinctive theoretical underpinnings. Initially, this term was used to describe those cities that utilized advanced computerized systems to provide a safe, secure, green, and efficient transportation services and utilities to meet the demands of their citizens (Caragliu, Del Bo & Nijkamp, 2011; Hall, Bowerman and Braverman, Taylor, Todosow and Von Wimmersperg, 2000). A thorough literature review suggests that several cities are already using disruptive technologies, including advanced, integrated materials, sensors, electronics, and networks, among others, which are interfaced with computerized systems to improve their economic, social and environmental sustainability (Camilleri, 2015, 2017; Deakin and Al Waer, 2011; Hall et al., 2000). These cities are increasingly relying on data-driven technologies, as they gather and analyze data from urban services including transportation and utilities (Ramaswami, Russell, Culligan, Sharma and Kumar, 2016; Gretzel, Sigala, Xiang and Koo, 2015). Their underlying objective is to improve the quality of life of their citizens (Ratten, 2017; Buhalis and Amaranggana, 2015). Hence, ‘smart cities’ have introduced technological innovations to address contingent issues like traffic congestion; air pollution; waste management; loss of biodiversity and natural habitat; energy generation, conservation and consumption; water leakages and security, among other matters (Camilleri, 2019; 2014; Ahvenniemi, Huovila, Pinto-Seppä and Airaksinen, 2017; Ratten and Dana, 2017; Ratten, 2017).

Ecologically-advanced local governments and municipalities are formulating long-term sustainable policies and strategies. Some of them are already capturing data through multisensor technologies via wireless communication networks in real time (Bibri, 2018; Bibri and Krogstie, 2017). Very often, they use the Internet’s infrastructure and a wide range of smart data-sensing devices, including radio frquency identification (RFID), near-field communication (NFC), global positioning systems (GPS), infrared sensors, accelerometers, and laser scanners (Bibri, 2018). A few cities have already started to benefit from the Internet of Things (IoT) technology and its sophisticated network that consists of sensor devices and physical objects including infrastructure and natural resources (Zanella, Bui, Castellani, Vangelista and Zorzi, 2014).

Several cities are crunching big data to better understand how to make their cities smarter, more efficient, and responsive to today’s realities (Mohanty, Choppali and Kougianos, 2016; Ramaswami et al., 2016). They gather and analyze a vast amount of data and intelligence on urban aspects, including transportation issues, citizen mobility, traffic management, accessibility and protection of cultural heritage and/or environmental domains, among other areas (Angelidou, Psaltoglou, Komninos, Kakderi, Tsarchopoulos and Panori, 2018; Ahvenniemi et al., 2017). The latest advances in technologies like big data analytics and decision-making algorithms can support local governments and muncipalities to implement the circular economy in smart cities (Camilleri, 2019). The data-driven technologies enable them them to reduce their externalities. They can monitor and control the negative emissions, waste, habitat destruction, extinction of wildlife, etc. Therefore, the digital innovations ought to be used to inform the relevant stakeholders in their strategic planning and development of urban environments (Camilleri, 2019; Allam & Newman, 2018; Yigitcanlar and Kamruzzaman, 2018; Angelidou et al. ,2018; Caragliu et al., 2011).

In this light, we are calling for theoretical and empirical contributions that are focused on the creation, diffusion, as well as on the utilization of technological innovations and information within the context of smart, sustainable cities. This Special Issue will include but is not limited to the following topics:

  • Advancing the circular economy agenda in smart cities;
  • Artificial intelligence and machine learning in smart cities;
  • Blockchain technologies in smart cities;
  • Green economy of smart cities;
  • Green infrastructure in smart cities;
  • Green living environments in smart cities;
  • Smart cities and the sustainable environment;
  • Smart cities and the use of data-driven technologies;
  • Smart cities and the use of the Internet of Things (IoT);
  • Sustainable energy of smart cities;
  • Sustainable financing for infrastructural development in smart cities;
  • Sustainable housing in smart cities;
  • Sustainable transportation in smart cities;
  • Sustainable tourism in smart cities;
  • Technological innovation and climate change for smart cities;
  • Technological innovation and the green economy of smart cities;
  • Technological innovation and the renewable energy in smart cities;
  • Technological innovation and urban resilience of smart cities;
  • Technological innovation for the infrastructural development of smart cities;
  • The accessibility and protection of the cultural heritage in smart cities;
  • The planning and design of smart cities;
  • The quality of life of the citizens and communities living in smart cities;
  • Urban innovation in smart cities;
  • Urban planning that integrates the smart city development with the greening of the environment;
  • Urban planning and data driven technologies of smart cities.

Special Issue Editors

Prof. Dr. Mark Anthony Camilleri E-Mail Website
Department of Corporate Communication, University of Malta, Msida, MSD2080, Malta.
Interests: sustainability; digital media; stakeholder engagement; corporate social responsibility; sustainable tourism
Prof. Dr. Vanessa Ratten E-Mail Website
Department of Entrepreneurship, Innovation and Marketing, La Trobe University – Melbourne, Australia
Interests: innovation; technology; entrepreneurship

 

References:

  1. Ahvenniemi, H., Huovila, A., Pinto-Seppä, I., & Airaksinen, M. (2017). What are the differences between sustainable and smart cities?. Cities60, 234-245.
  2. Allam, Z., & Newman, P. (2018). Redefining the smart city: Culture, metabolism and governance. Smart Cities1(1), 4-25
  3. Angelidou, M., Psaltoglou, A., Komninos, N., Kakderi, C., Tsarchopoulos, P., & Panori, A. (2018). Enhancing sustainable urban development through smart city applications. Journal of Science and Technology Policy Management9(2), 146-169.
  4. Bibri, S. E., & Krogstie, J. (2017). Smart sustainable cities of the future: An extensive interdisciplinary literature review. Sustainable cities and society31, 183-212.
  5. Bibri, S. E. (2018). The IoT for smart sustainable cities of the future: An analytical framework for sensor-based big data applications for environmental sustainability. Sustainable Cities and Society38, 230-253.
  6. Buhalis, D., & Amaranggana, A. (2015). Smart tourism destinations enhancing tourism experience through personalisation of services. In Information and communication technologies in tourism 2015 (pp. 377-389). Springer, Cham.
  7. Camilleri, M. (2014). Advancing the sustainable tourism agenda through strategic CSR perspectives. Tourism Planning & Development11(1), 42-56.
  8. Camilleri, M. A. (2015). Environmental, social and governance disclosures in Europe. Sustainability Accounting, Management and Policy Journal6(2), 224-242.
  9. Camilleri, M. A. (2017). Corporate sustainability and responsibility: creating value for business, society and the environment. Asian Journal of Sustainability and Social Responsibility2(1), 59-74.
  10. Camilleri, M. A. (2019). The circular economy’s closed loop and product service systems for sustainable development: A review and appraisal. Sustainable Development27(3), 530-536.
  11. Caragliu, A., Del Bo, C., & Nijkamp, P. (2011). Smart cities in Europe. Journal of urban technology18(2), 65-82.
  12. Deakin, M., & Al Waer, H. (2011). From intelligent to smart cities. Intelligent Buildings International3(3), 140-152.
  13. Gretzel, U., Sigala, M., Xiang, Z., & Koo, C. (2015). Smart tourism: foundations and developments. Electronic Markets25(3), 179-188.
  14. Hall, R. E., Bowerman, B., Braverman, J., Taylor, J., Todosow, H., & Von Wimmersperg, U. (2000). The vision of a smart city (No. BNL-67902; 04042). Brookhaven National Lab., Upton, NY (US).
  15. Mohanty, S. P., Choppali, U., & Kougianos, E. (2016). Everything you wanted to know about smart cities: The internet of things is the backbone. IEEE Consumer Electronics Magazine5(3), 60-70.
  16. Ramaswami, A., Russell, A. G., Culligan, P. J., Sharma, K. R., & Kumar, E. (2016). Meta-principles for developing smart, sustainable, and healthy cities. Science352(6288), 940-943.
  17. Ratten, V., & Dana, L. P. (2017). Sustainable entrepreneurship, family farms and the dairy industry. International Journal of Social Ecology and Sustainable Development (IJSESD)8(3), 114-129.
  18. Ratten, V. (2017). Entrepreneurship, innovation and smart cities. Routledge: Oxford, UK.
  19. Yigitcanlar, T., & Kamruzzaman, M. (2018). Does smart city policy lead to sustainability of cities? Land Use Policy73, 49-58.
  20. Zanella, A., Bui, N., Castellani, A., Vangelista, L., & Zorzi, M. (2014). Internet of things for smart cities. IEEE Internet of Things journal1(1), 22-32.

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI’s English editing service prior to publication or during author revisions.

Keywords

  • Sustainability
  • Smart Cities
  • Digital innovation
  • Technological innovation
  • Sustainable innovation
  • Big Data
  • Internet of Things
  • Artificial Intelligence

Published Papers

This special issue is now open for submission.

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Filed under Analytics, Big Data, blockchain, Business, Circular Economy, Corporate Social Responsibility, Corporate Sustainability and Responsibility, CSR, destination marketing, digital media, ESG Reporting, Impact Investing, Integrated Reporting, responsible tourism, Shared Value, smart cities, Socially Responsible Investment, SRI, Stakeholder Engagement, Sustainability, sustainable development

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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Filed under Analytics, Big Data, blockchain, Business, digital media, Marketing

The Use of Smart Tourism Technologies

An excerpt from my latest Working Paper, entitled: The Use of Big Data, Programmatic Advertising and Blockchain Technologies in Tourism

The latest disruptive technologies are supporting the tourism businesses’ marketing mix elements as they improve the interactive engagement with individual prospects, enhance the personalisation of services, whilst providing secure pricing options. Many tourism firms are evolving from their passive, rigid, and product-centric state to a more flexible, dynamic, and customer-centric environment, as they monitor and detect any changes in consumer sentiment. Data-driven companies are increasingly capturing and analysing the online and mobile activity of prospective customers, as they delve into ecommerce and review sites, personal blogs and social media (Sigala, 2017; Kumar et al., 2017). Their analytics captures the consumers’ interactions with brands and companies through digital media. Therefore, 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, ecommerce, among others). Large technology giants use mobile tracking technologies, to gather information on the consumer behaviours, including their shopping habits, lifestyle preferences , et cetera (Aksu et al., 2018).

Tech-savvy firms 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 & Song, 2017). This way business could come up with personalised products and services, that are demanded by individual customers (Li et al., 2017). From a business perspective, it is important to acquire this data, quickly, and in high velocities. This paper reported that 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 tourism businesses is to recognise the value of smart technologies as effective tools that can analyse their marketing environment, including the customers as well as their competitors. The predictive-analytical tools can examine different scenarios; and the prescriptive analytics anticipate what will happen, when it will happen, and explains 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, as it 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 tourism 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 the tourism businesses.

The smart tourism technologies, including big data analytics are shifting how organisations collect, analyse 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 blockchain’s distributed ledger system is helping them to improve their financial and strategic performance. In conclusion, this contribution calls for further research on data-driven tourism.

 

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Filed under Big Data, blockchain, Business, digital media, Marketing, tourism