Substantia Mea

June 26, 2015 · 10:42 am

CSR 2.0 – A Conceptual Framework For Corporate Sustainability and Responsibility

Businesses are capable of implementing responsible behaviours as they pursue their profit-making activities. A thorough literature review suggests that many academic articles have dedicated their energies on organising and evaluating the evidence to establish a link, usually through regression analysis between corporate social responsibility (CSR) or corporate social performance (CSP) and financial performance. Other authors referred to similar concepts as corporate citizenship has evolved following the concepts of stakeholder engagement and business ethics. In the light of these past theoretical underpinnings, this article reports on the many facets of CSR. This contribution puts forward key constructs representing strategic CSR, creating shared value and systematic CSR. It sheds light on the corporate sustainability and responsibility (CSR2.0) notion. This latter perspective suggests that responsible behavioural practices may be strategically re-conceived to confer competitive advantage over rival firms. Therefore, article makes reference to specific examples of some the latest laudable investments that create shared value. It explains how CSR2.0 requires a focus on building adaptive approaches and directing resources towards the perceived demands of diverse stakeholders for the long term sustainability of business. In a pragmatic approach, this contribution indicates that societal demands are not viewed as constraints on the organisation, but more as challenging opportunities which can be leveraged for the benefit of the firm and its stakeholders.

The Business Case for Corporate Social Responsibility
CSR can help to build reputational benefits; it enhances the firms’ image among external stakeholders and could lead to a favourable climate of trust and cooperation within the company 1. It may lead to create value for both business and society 2 3 4. Several authors maintained that through strategic CSR engagement businesses may achieve a competitive advantage5 6. Empirical studies have shown that there is a correlation between CSR and financial performance 1 3 7. Yet, it may appear that to date there is no explicit, quantitative translation of socially responsible practices into specific results that affect the profit and loss account8. Nevertheless, many companies are defending the correlation between social practices and financial results. The working assumption revolving around the CSP research is that corporate social and financial performance are universally related3. Strategic CSR increases the financial performance; minimises costs through better operational efficiencies, boosts the employee morale and job satisfaction and reduces the staff turnover, along with other benefits3.

CSR can bring a competitive advantage only if there are ongoing communications and dialogue between all stakeholder groups9 10 (including the employees, customers, marketplace and societal groups). The stakeholder relationships are needed to bring external knowledge sources, which may in turn enhance organisational skills and performance. Acquiring new knowledge must be accompanied by mechanisms for dissemination. There is scope in sharing best practices, even with rival firms. It is necessary for responsible businesses to realise that they need to work in tandem with other organisations in order to move the CSR agenda forward3 4. A recent study has indicated that businesses were investing in environmental sustainability, as they minimised their waste by reducing, reusing and recycling resources11. Several others were becoming more conscientious about their environmental responsibilities, particularly in the areas that were in situated in close proximity to their business. They were increasingly protecting the environment as they reduced their pollution through carbon offsetting programmes and the like11. The researcher believes that there is still room for improvement. There are many business practitioners who ought to realise the business case for CSR. Their organisational culture and business ethos could become more attuned to embrace responsible behavioural practices.

Creating Shared Value – Seeking Win-Win Outcomes
In the past, the stakeholder theory has demonstrated how stakeholders could develop long-term mutual relationships, rather than simply focusing on immediate profits. Of course, this does not imply that profit and economic survival are unimportant. On the contrary, this argument is that it is in the businesses’ interest to engage with a variety of stakeholders, upon whom dependence is vital3 4. The businesses’ closer interactions with stakeholders are based on relational and process-oriented views9. Many corporations are already forging strategic alliances in their value chain in order to run their businesses profitably. Some successful businesses are also promoting the right conditions of employment in their supply chains. At the same time, they are instrumental in improving the lives of their suppliers. They do this as they want to enhance the quality and attributes of their products, which are ultimately delivered to customers and end consumers12.
Nestlé, Google, IBM, Intel, Johnson & Johnson, Unilever, and Wal-Mart are some of the multinationals who have somewhat embraced Porter and Kramer’s ‘shared value’ approach. In many cases they are building partnership and collaborative agreements with external stakeholders (including suppliers) hailing from different markets. The notion of shared value is opening up new opportunities for sustainability, particularly with its innovative approach to re-configure the value chain4. Yet, there are academics who argued that this concept ignores the tensions that are inherent in responsible business activity13. “Shared value” cannot cure all of society’s ills as not all businesses are good for society nor would the pursuit of shared value eliminate all injustice. However, the profit motive and the tools of corporate strategy will help to address societal problems14. As a matter of fact, many businesses are reconceiving their products as they take a broad view of their purchasing, procurement and production activities4.
Several multi-national organisations are looking beyond their short-term profits for shareholders. They are also looking after their marketplace stakeholders including suppliers who source their products. Many multinational organisations are redefining productivity in the value chain and enabling local cluster developments to mitigate risks, boost productivity and competitiveness. For instance, Nestlé’s business principles incorporated 10 United Nations Global Compact Principles on human rights, labour, the environment and corruption12. Nestlé is an active member of the Compact’s Working Groups and Initiatives. Nestlé maintains that it complies with international regulatory laws and acceptable codes of conduct, as it improves its company’s operations. Yet, at the same time it helps those suppliers hailing from the least in poorer rural regions of the world. Nestlé has revisited its numerous processes and its value chain activities. Each stage of the production process, from the supply chain to transforming resources adds value to the overall end product. This benefits the company itself. Nestlé sources its materials from thousands of farms from developing countries. The company maintains that it provides training to farmers in order to encourage sustainable production while protecting their procurement, standards and quality of their raw materials. This brings positive, long-term impacts on the local economy. At the same time, these suppliers are running profitable farms, as they are offering their children a better education. Moreover, both Nestlé and its suppliers are committed to protecting their natural environmental resources for their long term sustainability.
Corporate sustainability occurs when a company adds a social dimension to its value proposition, making social impact integral to its overall strategy. The rationale behind the corporate responsibility lies in creating value and finding win-win outcomes by seeking out and connecting stakeholders’ varied interests. Creating shared value (CSV) is about embedding sustainability and strategic corporate social responsibility into a brand’s portfolio. As firms reap profits and grow, they can generate virtuous circles of positive multiplier effects11.

Conclusion
This article provides the foundation of the conceptual theory and empirical enquiry of the discourse surrounding the corporate sustainability and responsibility (CSR2.0) agenda. A thorough literature review reveals that many authors have often investigated the relationship between corporate social responsibility (corporate social performance or corporate citizenship) and financial performance. This contribution maintains that CSR 2.0 initiatives can be re-conceived strategically to confer competitive advantage in the long term. The business case for CSR 2.0 focuses on building adaptive approaches and directing resources towards the perceived demands of stakeholders (Camilleri, 2015). Stakeholder demands are not viewed as constraints on the organisation, but more as challenging opportunities which can be leveraged for the benefit of the firm. This contribution looks at different aspects of CSR2.0, as it makes specific reference to responsible human resources management, environmental sustainability, forging relationships with marketplace stakeholders and strategic philanthropy towards the community. Engagement in these activities will ultimately create shared value for both the business and the society. CSR2.0 unlocks value, as the business and the community become mutually reinforcing. The value creation arguments focus on exploiting opportunities that reconcile differing stakeholder demands. Businesses ought to realise that laudable investments in CSR2.0 can lead to better organisational performance in the long run. This contribution indicates that there are future avenues for further research in this promising area of strategic management. Empirical studies may focus on how socially responsible behaviour, environmental sustainable practices, stakeholder engagement and regulatory interventions may create value for all.

References

Camilleri, M.A. “Unlocking shared value through strategic social marketing” (paper presented at the American Marketing Association and the University of Massachusetts Amherst: Marketing & Public Policy Conference, Boston, 6th June 2014): 60-66 Accessed June 26, 2015. https://www.ama.org/events-training/Conferences/Documents/MPP14BO_Proceedings.pdf
Sen, Sankar, Chitra Bhanu Bhattacharya, and Daniel Korschun. “The role of corporate social responsibility in strengthening multiple stakeholder relationships: A field experiment.” Journal of the Academy of Marketing science 34, no. 2 (2006): 158-166.
Camilleri, M.A. “Creating Shared Value through Strategic CSR in Tourism” Saarbrucken: Lambert Academic Publishing, 2013 – ISBN 978-3-659-43106-7.
Porter, Michael E., and Mark R. Kramer. “Creating shared value.” Harvard business review 89, no. 1/2 (2011): 62-77.
Crane, Andrew, Abagail McWilliams, Dirk Matten, Jeremy Moon, and Donald S. Siegel, eds. The Oxford handbook of corporate social responsibility. Oxford University Press, (2008).
Porter, Michael E., and Mark R. Kramer. “The link between competitive advantage and corporate social responsibility.” Harvard business review 84, no. 12 (2006): 78-92.
Orlitzky, Marc, Frank L. Schmidt, and Sara L. Rynes. “Corporate social and financial performance: A meta-analysis.” Organization studies 24, no. 3 (2003): 403-441.
Murillo, David, and Josep M. Lozano. “SMEs and CSR: An approach to CSR in their own words.” Journal of Business Ethics 67, no. 3 (2006): 227-240.
Morsing, Mette, and Majken Schultz. “Corporate social responsibility communication: stakeholder information, response and involvement strategies.” Business Ethics: A European Review 15, no. 4 (2006): 323-338.
European Union. “A renewed EU strategy 2011-14 for Corporate Social Responsibility” last modified December 10, 2014 http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=COM:2011:0681:FIN:EN:PDF European Commission Publications (2011).
Camilleri, M.A. “The Business Case for Corporate Social Responsibility” (paper presented at the American Marketing Association in collaboration with the University of Wyoming, Oklahoma State University and Villanova University: Marketing & Public Policy as a Force for Social Change Conference. Washington D.C., 5th June 2014): 8-14, Accessed June 26, 2015. https://www.ama.org/events-training/Conferences/Documents/2015-AMA-Marketing-Public-Policy-Proceedings.pdf
Camilleri, M.A. “Leveraging Organizational Performance through ‘Shared Value’ Propositions” Triple Pundit last modified November 22, 2013 http://www.triplepundit.com/2013/11/leveraging-organisational-performance-shared-value-propositions/
Andrew Crane, Guido Palazzo, Laura J. Spence, and Dirk Matten. “Contesting the value of “creating shared value”.” California management review 56, no. 2 (2014): 130-153.
A response to Andrew Crane13 article by Porter, Michael E., and Mark R. Kramer (2014) http://www.dirkmatten.com/Papers/C/Crane%20et%20al%202014%20in%20CMR.pdf

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Tagged as Business Ethics, corporate sustainability, Corporate Sustainability and Responsibility, creating shared value, CSR, CSR2.0, csv, stakeholder engagement, Strategic Management, Strategy, Sustainability

June 19, 2015 · 9:46 am

Crunching Big Data for Operations Management

For decades businesses have been using data in some way or another to improve their operations. For instance, an IT software could support small enterprises in their customer-facing processes. Alternatively, large corporations may possess complex systems that monitor and detect any changes in consumer sentiment towards brands.

Recently, many industry leaders, including McKinsey, IBM and SAS among others have released relevant studies on big data. It transpires that they are using similar terminology to describe big data as a “situation where the volume, velocity and variety of data exceed an organisation’s ability to use that data for accurate and timely decision-making” (SAS). These providers of business intelligence solutions have developed technical approaches to storing and managing enormous volumes of new data.

The handling and untangling of such data requires advanced and unique storage, management, analysis and visualisation technologies. The terms of “big data” and “analytics” are increasingly being used to describe data sets and analytical techniques in applications ranging from sensor to social media. Usually, big data analytics are dependent on extensive storage capacity and quick processing power requiring a flexible grid that can be reconfigured for different needs. For instance, streaming analytics process big data in real time during events to improve their outcome.

Insightful data could easily be retrieved from the Web, social media content and video data among other content. Notwithstanding, such data could be presented in different forms; ranging from recorded vocal content (e.g. call centre voice data) or it can even be genomic and proteomic data that is derived from biological research and medicine.
Big data is often used to describe the latest advances in technologies and architectures. Nowadays, big data and marketing information systems predict customer purchase decisions. This data could indicate which products or services customers buy, where and what they eat, where and when they go on vacation, how much they buy, and the like.

Giant retailers such as Tesco or Sainsbury every single day receive long-range weather forecasts to work 8-10 days ahead. Evidently, the weather affects the shopping behaviour of customers. For example, hot and cold weather can lead to the sales of certain products. It may appear that weather forecasting dictates store placement, ordering and supply (and demand) logistics for supermarket chains. Other retailers like Walmart and Kohl’s also use big data to tailor product selections and determine the timing of price markdowns.

Shipping companies, like U.P.S. are mining data on truck delivery times and traffic patterns in order to fine-tune their routing. This way the business will become more efficient and incur less operational costs. Therefore, big data extracts value by capturing, discovering and analysing very large volumes of data in an economic and expeditious way. This has inevitably led to a significant reduction in the cost of keeping data.

Big data can also be linked with production applications and timely operational processes that enable continuous improvements. Credit card companies are a good illustration of this dynamic as direct marketing groups at credit card companies create models to select the most likely customer prospects from a large data warehouse. Previously, the process of data extraction, preparation and analysis took weeks to prepare and organise. Eventually, these companies realised that there was a quicker way to carry out the same task. In fact, they created a “ready-to-market” database and system that allowed their marketers to analyse, select and issue offers in a single day. Therefore, this case indicates that businesses became much more effective (and efficient) in their processes through iterations and monitoring of websites and call-centre activities. They could also make personalised offers to customers in milliseconds as they kept tracking responses over time.

Organisations are increasingly realising the utility of data that could bring value through continuous improvements in their operations. This contribution indicated that relevant data needs to be captured, filtered and analysed. Big data is already swamping traditional networks, storage arrays and relational database platforms. The increased pervasiveness of digital and mobile activity, particularly from e-commerce and social media is leading to the dissemination of meaningful data – that is being created each and every second. Successful, online businesses can gain a competitive advantage if they are capable of gathering and crunching data.

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June 9, 2015 · 8:57 am

CSR and Educational Leadership

Adapted from my chapter, entitled; “Reconceiving CSR programmes in Education” in Academic Insights and Impacts (Springer, Germany).

CSR and sustainability issues are increasingly becoming ubiquitous practices in different contexts, particularly among the youngest work force. This contribution suggests that there is a business case for responsible behaviours. Besides, minimising staff turnover, CSR may lead to strategic benefits including employee productivity, corporate reputation and operational efficiencies. Therefore, CSR can be the antecedent of financial performance (towards achieving profitability, increasing sales, return on investment et cetera).

Notwithstanding, the businesses’ involvement in setting curricula may also help to improve the effectiveness of education systems across many contexts. Businesses can become key stakeholders in this regard. Their CSR programmes can reconnect their economic success with societal progress. They could move away from seeking incremental gains from the market . Proactive companies who engage in CSR behaviours may possibly take fundamentally different positions with their stakeholders – as they uncover new business opportunities. This contribution showed how businesses could inspire their employees, build their reputations in the market and most importantly create value in education. This movement toward these positive outcomes may represent a leap forward in the right direction for global education.

This chapter has given specific examples of how different organisations were engaging in responsible behaviours with varying degrees of intensity and success. It has identified cost effective and efficient operations. It reported measures which were enhancing the human resources productivity. Other practices sought to engage in philanthropic practices and stewardship principles. At the same time, it was recognised that it was in the businesses’ interest to maintain good relations with different stakeholders, including the regulatory ones. Evidently, there is more to CSR than public relations and greenwashing among all stakeholder groups (including the employees, customers, marketplace and societal groups). Businesses ought to engage themselves in societal relationships and sustainable environmental practices. Responsible behaviours can bring reputational benefits, enhance the firms’ image among external stakeholders and often lead to a favourable climate of trust and cooperation within the company itself
(Herzberg et al., 2011). This chapter reported that participative leadership will boost the employees’ morale and job satisfaction which may often lead to lower staff turnover and greater productivity in workplace environments. However, it also indicates that there are many businesses that still need to realise the business case for responsible behaviours. Their organisational culture and business ethos will inevitably have to become attuned to embrace responsible behavioural practices.

Governments may also have an important role to play. The governments can take an active leading role in triggering corporate responsible behaviours in the realms of education. Greater efforts are required by governments, the private sector and other stakeholders to translate responsible behaviours into policies, strategies and regulations. Governments may give incentives (through financial resources in the form of grants or tax relief) and enforce regulation in certain areas where responsible behaviour is necessary. The governments ought to maintain two-way communication systems with stakeholders. The countries’ educational outcomes and curriculum programmes should be aligned with the employers’ requirements (Walker and Black, 2000). Therefore, adequate and sufficient schooling could instil students with relevant knowledge and skills that are required by business and industry (Allen and De Weert, 2007). The governments should come up with new solutions to help underprivileged populations and subgroups. New solutions could better address the diverse needs of learners. This chapter indicated that there is scope for governments to work in collaboration with corporations in order to nurture tomorrow’s human resources.

It must be recognised that there are various business operations, hailing from diverse sectors and industries. In addition, there are many stakeholder influences, which can possibly affect the firms’ level of social responsibility toward education. It is necessary for governments to realise that it needs to work alongside with the business practitioners in order to reconceive education and life-long learning. The majority of employers that were mentioned here in this chapter; were representative of a few businesses that hailed from the developed economies. There can be diverse practices across different contexts. Future studies could investigate the methods how big businesses are supporting education. Future research on this subject could consider different samples, methodologies and analyses which may obviously be more focused and will probably yield different outcomes. However, this contribution has puts forward the shared value’ approach. It is believed that since this relatively ‘new’ concept is relatively straightforward and uncomplicated, it may be more easily understood by business practitioners themselves. In a nutshell, this synergistic value proposition requires particular focus on the human resources’ educational requirements, at the same time it also looks after stakeholders’ needs (Camilleri, 2015). This notion could contribute towards long term sustainability by addressing economic and societal deficits in education. A longitudinal study in this area of research could possibly investigate the long term effects of involving the business and industry in setting curriculum programmes in education. Presumably, shared value can be sustained only if there is a genuine commitment to organisational learning for corporate sustainability and responsibility, and if there is a willingness to forge genuine relationships with key stakeholders.

Recommendations
This contribution contends that the notion of shared value is opening up new opportunities for education and professional development. Evidently, there are competitive advantages that may arise from nurturing human resources. As firms reap profits and grow, they can generate virtuous circles of positive multiplier effects. Many successful organisations are increasingly engaging themselves in socially responsible practices. There are businesses that are already training and sponsoring individuals to pursue further studies for their career advancement (McKenzie and Woodruff, 2013; Kehoe and Wright, 2013; Hunt and Michael, 1983). It may appear that they are creating value for themselves as well as for society by delivering relevant courses for prospective employees. In conclusion, this chapter puts forward the following key recommendations to foster an environment where businesses become key stakeholders in education.

Promotion of business processes that bring economic, social and environmental value;
Encouragement of innovative and creative approaches in continuous professional development and training in sustainable and responsible practices;
Enhancement of collaborations and partnership agreements with governments, trade unions and society in general, including the educational leaders;
Ensuring that there are adequate levels of performance in areas such as employee health and safety, suitable working conditions and sustainable environmental practices among business and industry;
Increased CSR awareness, continuous dialogue, constructive communication and trust between all stakeholders;
National governments ought to create regulatory frameworks which encourage and enable the businesses’ participation in the formulation of educational programmes and their curricula.

References

Allen, J., & De Weert, E. (2007). What Do Educational Mismatches Tell Us About Skill Mismatches? A Cross‐country Analysis. European Journal of Education, 42(1), 59-73.

Camilleri, M.A. (2015) The Synergistic Value Notion in Idowu, S.O.; Capaldi, N.; Fifka, M.; Zu, L.; Schmidpeter, R. (Eds). Dictionary of Corporate Social Responsibility. Springer http://www.springer.com/new+%26+forthcoming+titles+%28default%29/book/978-3-319-10535-2

Herzberg, F., Mausner, B., & Snyderman, B. B. (2011). The motivation to work (Vol. 1). Transaction Publishers.

Hunt, D. M., & Michael, C. (1983). Mentorship: A career training and development tool. Academy of management Review, 8(3), 475-485.

McKenzie, D., & Woodruff, C. (2013). What are we learning from business training and entrepreneurship evaluations around the developing world?. The World Bank Research Observer, lkt007.

Walker, K. B., & Black, E. L. (2000). Reengineering the undergraduate business core curriculum: Aligning business schools with business for improved performance. Business Process Management Journal, 6(3), 194-213.

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Tagged as Continuous Professional Development, corporate social responsibility, Corporate Sustainability and Responsibility, Corpporate Social Responsibility, creating shared value, CSR, CSR Policies, CSR2.0, Education, HRM, Human Resources, shared value

May 30, 2015 · 4:11 pm

The future of marketing is mobile…

An IBM (2012) technology trends survey indicated that mobile devices could increase the productivities and efficiencies of organisations. This study showed that mobile software was the second most “in demand” area for research and development. In addition, Gartner BI Hype Cycle (2012) also anticipated that mobile analytics was one of the latest technologies that may potentially disrupt the business intelligence market. At the same time, the market for mobile advertising is escalating at a very fast pace. Interestingly, eMarketer (2012) had predicted that mobile advertising shall experience a surge from an estimated $2.6 billion in 2012 to more than $10.8 billion in 2016. Evidently, there are niche areas for professional growth, particularly in this specialised field; as more and more individuals are increasingly creating new applications for mobile operating systems.

Recent advances in mobile communication and geo-positioning technologies have presented marketers with a new way how to target consumers based on their location. Location-targeted mobile advertising involves the provision of ad messages to cellular subscribers based on their geographic locations. This digital technology allows marketers to deliver ads and coupons that are customised to individual consumers’ tastes, geographic location and time of day. Given the ubiquity of mobile devices, location-targeted mobile advertising seems to offer tremendous marketing benefits.

In addition, many businesses are commonly utilising applications, including browser cookies that track consumers through their mobile devices as they move out and about. Once these users leave these sites, the products or services that they had viewed online will be shown to them again in advertisements, across different websites. Hence, businesses are using browsing session data combined with the consumers’ purchase history to deliver “suitable” items that consumers like. Therefore, savvy brands are becoming increasingly proficient in personalising their offerings as they collect, classify and use large data volumes on their consumers’ behaviours. As more consumers carry smartphones with them, they are (or may be) receiving compelling offers that instantaneously pop up on their mobile devices.

For instance, consumers are continuously using social networks and indicating their geo location as they use mobile apps. This same data can be used to identify where people tend to gather — information that could be useful in predicting real estate prices et cetera. This information is valuable to brands as they seek to improve their consumer engagement and marketing efforts. Businesses are using mobile devices and networks to capture important consumer data. Smart phones and tablets that are wifi-enabled interact with networks and convey information to network providers and ISPs. This year, more brands shall be using mobile devices and networks as a sort of sensor data – to acquire relevant information on their consumers’ digital behaviours and physical movements. These businesses have become increasingly interactive through the proliferation of near-field communication (NFC). Basically, embedded chips in the customers’ mobile phones are exchanging data with retailers’ items possessing the NFC tags. It is envisaged that mobile wallet transactions using NFC technologies are expected to reach $110 billion, by the year 2017. The latest Android and Microsoft smartphones have already include these NFC capabilities. Moreover, a recent patent application by Apple has revealed its plans to include NFC capabilities in their next products. This will inevitably lead to an increase in the use of mobile wallets (GSMA, 2015). Undoubtedly, the growth of such data-driven, digital technologies is adding value to customer-centric marketing. Therefore, analytics can enable businesses to provide a deeper personalisation of content and offers to specific customers.

Apparently, there are promising revenue streams in the mobile app market. Both Apple and Android are offering paid or free ad-supported apps in many categories. There are also companies that have developed apps for business intelligence. For example, enterprise / industry-specific apps, e-commerce apps and social apps. Evidently, the lightweight programming models of the current web services (e.g., HTML, XML, CSS, Ajax, Flash, J2E) as well as the maturing mobile development platforms such as Android and iOS have also contributed to the rapid proliferation of mobile applications (Chen et al., 2012). Moreover, researchers are increasingly exploring mobile sensing apps that are location-aware and activity-sensitive.

Possible future research avenues include mobile social innovation for m-learning; (Sharples, Taylor and Vavoula, 2010; Motiwalla, 2007), mobile social networking and crowd-sourcing (Lane et al., 2010), mobile visualisation (Corchado and Herrero, 2011), personalisation and behavioural modelling for mobile apps in gamification (Ha et al., 2007), mobile advertising and social media marketing (Bart et al., 2014; Yang et al., 2013). Google’s (2015) current projects include gesture and touch interaction; activity-based and context-aware computing; recommendation of social and activity streams; analytics of social media engagements, and end-user programming (Dai, Rzeszotarski, Paritosh and Chi, 2015; Fowler, Partridge, Chelba, Bi, Ouyang and Zhai, 2015; Zhong, Weber, Burkhardt, Weaver and Bigham, 2015; Brzozowski, Adams and Chi, 2015).

References:

Bart, Y., Stephen, A. T., & Sarvary, M. (2014). Which products are best suited to mobile advertising? A field study of mobile display advertising effects on consumer attitudes and intentions. Journal of Marketing Research, 51(3), 270-285.

Brzozowski, M. J., Adams, P., & Chi, E. H. (2015, April). Google+ Communities as Plazas and Topic Boards. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (pp. 3779-3788). ACM. Retrieved May 22nd, 2015, from http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43453.pdf

Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business Intelligence and Analytics: From Big Data to Big Impact. MIS quarterly, 36(4), 1165-1188.

Corchado, E., & Herrero, Á. (2011). Neural visualization of network traffic data for intrusion detection. Applied Soft Computing, 11(2), 2042-2056.

Dai, P., Rzeszotarski, J. M., Paritosh, P., & Chi, E. H. (2015). And Now for Something Completely Different: Improving Crowdsourcing Workflows with Micro-Diversions. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing (pp. 628-638). ACM. Retrieved May 17th, 2015, from http://dl.acm.org/citation.cfm?id=2675260

eMarketer (2012). eMarketer in the News: June 1, 2012 Retrieved January 28th, 2015, from http://www.emarketer.com/newsroom/index.php/emarketer-news-june-1-2012/

Fowler, A., Partridge, K., Chelba, C., Bi, X., Ouyang, T., & Zhai, S. (2015, April). Effects of Language Modeling and its Personalization on Touchscreen Typing Performance. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (pp. 649-658). ACM. Retrieved May15th, 2015, from http://cslu.ohsu.edu/~fowlera/Fowler_CHI2015.pdf

Gartner (2012). Big Data Drives Rapid Changes in Infrastructure and $232 Billion in IT Spending Through 2016. Retrieved January 20th, 2015, from https://www.gartner.com/doc/2195915/big-data-drives-rapid-changes

Google (2015). Human-Computer Interaction and Visualization Research at Google. Retrieved May 20th, 2015, from http://research.google.com/pubs/Human-ComputerInteractionandVisualization.html

Ha, I., Yoon, Y., & Choi, M. (2007). Determinants of adoption of mobile games under mobile broadband wireless access environment. Information & Management, 44(3), 276-286.

IBM (2012) Tech Trends Report. Fast track to the future. Retrieved May15th, 2015, from http://www-01.ibm.com/common/ssi/cgi-bin/ssialias?subtype=XB&infotype=PM&appname=CHQE_XI_XI_USEN&htmlfid=XIE12346USEN&attachment=XIE12346USEN.PDF#loaded

Lane, N. D., Miluzzo, E., Lu, H., Peebles, D., Choudhury, T., & Campbell, A. T. (2010). A survey of mobile phone sensing. Communications Magazine, IEEE, 48(9), 140-150.

Motiwalla, L. F. (2007). Mobile learning: A framework and evaluation. Computers & Education, 49(3), 581-596.

Sharples, M., Taylor, J., & Vavoula, G. (2010). A theory of learning for the mobile age. In Medienbildung in neuen Kulturräumen (pp. 87-99). VS Verlag für Sozialwissenschaften.

Yang, B., Kim, Y., & Yoo, C. (2013). The integrated mobile advertising model: The effects of technology-and emotion-based evaluations. Journal of Business Research, 66(9), 1345-1352.

Zhong, Y., Weber, A., Burkhardt, C., Weaver, P., & Bigham, J. P. (2015). Enhancing Android accessibility for users with hand tremor by reducing fine pointing and steady tapping. In Proceedings of the 12th Web for All Conference (p. 29). ACM. Retrieved Ma7 20th, 2015, from http://dl.acm.org/citation.cfm?id=2747277

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Tagged as Analytics, analytics, Big Data, big data, Content Marketing, digital marketing, Digital Marketing, ICT, m-Learning, m-Marketing, marketing, Mobile, Mobile Applications, Mobile Marketing, web2.0

May 11, 2015 · 3:52 pm

Creating Shared Value: Doing well by doing good!

Relevant research has shown that those companies that had undertaken social and environmental responsibility did prosper in the long run (McWilliams and Siegel, 2001; Orlitzky, 2003). However, other research has indicated that it is also possible to over-spend on strategic CSR — as this is true of all discretionary marketing expenditures (Lantos, 2001). It may appear that there is an optimal level of spending on strategic CSR (Orlitzky et al. 2010). The factors contributing towards creating value are often qualitative and may prove very difficult to measure and quantify, such as; employee morale, corporate image, reputation, public relations, goodwill, and popular opinion (Miller and Ahrens, 1993). Lantos (2001) advocated the need to identify CSR activities that will yield the highest payback. Of course, every stakeholder group has its own needs and wants. Therefore is is important to continuously balance conflicting stakeholder interests and measure the returns from strategic CSR investments (McWilliams and Siegel, 2011; Freeman, 1984).

Porter and Kramer (2006) believed that organisations can set an affirmative CSR agenda that produce maximum social benefits and gains for the businesses themself, rather than merely acting on well intentioned impulses or by reacting on outside pressures. They referred to the value chain (Porter, 1986) as an appropriate tool to chart all the social consequences of business activities. Figure 1 illustrates inside-out linkages that range from hiring and layoff policies to green house gas emissions, as follows.

Figure 1. Porter’s Value Chain

(Source: Porter, 1985, reproduced in Tsai et al. 2010)

This value chain model presents operational issues which have an effect on the companies’ performance. It depicts some of the activities a company engages in while doing business. This model can be used as a framework to identify the positive and negative social impacts of those activities. Porter and Kramer (2006) held that through strategic CSR the company will make a significant impact in the community.They suggested that companies may be triggered to doing things differently from competitors, in a way where they could lower their costs. The authors went on to say that strategic CSR involve both inside-out and outside-in dimensions, working in tandem. Interestingly, the authors indicated that there are ‘shared value’ opportunities through strategic CSR (Porter and Kramer, 2006, 2011). They argued that the companies’ may strengthen their competitiveness by investing in social and environmental aspects, as featured in Figure 2.

Figure 2. Corporate Involvement: A Strategic Approach

(Source: Porter and Kramer, 2006)

The success of the company and of the community may become mutually reinforcing (Porter and Kramer, 2006). They maintained that the more closely tied a social issue is to the companies’ business, the greater the opportunity to leverage the firms’ resources and capabilities and will in turn benefit society at large. Falck and Heblich (2007) related the notion of strategic CSR to the shareholder value theory. This approach implied a long term view of wealth maximisation. As it was also the case for the agency theory. These authors suggested that proper incentives may encourage managers ‘to do well by doing good’.

“…as the company’s goal was to survive and prosper, it can do nothing better than to take a long term view and understand that if it treats society well, society will return the favour” (Falck and Heblich, 2007).

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Tagged as corporate social responsibility, Corporate Social Responsibility, Corporate Sustainability and Responsibility, creating shared value, CSR, csr, CSR2.0, csv, shared value, Strategic Management, Sustainability

May 8, 2015 · 11:51 am

Responsible Tourism that Creates Shared Value Among Stakeholders

Excerpt from the paper entitled; “Responsible Tourism that Creates Shared Value among Stakeholders” This contribution will shortly be published by Tourism Planning and Development Journal.

This study revealed how different tourism organisations were engaging in responsible behaviours with varying degrees of intensity and success. It has identified cost effective and efficient operations. There was mention of some measures which enhance the human resources productivity. Other measures sought to reduce the negative environmental impacts. At the same time, it was recognised that it was in the businesses’ interest to maintain good relations with different stakeholders, including the regulatory ones.

The researcher believes that responsible tourism can truly bring a competitive advantage when there are fruitful communications and continuous dialogue among all stakeholder groups (including the employees, customers, marketplace and societal groups). The tourism enterprises ought to engage themselves in societal relationships and sustainable environmental practices (Chiu, Lee and Chen, 2014). The tourism owner-managers admitted that responsible behaviours have brought reputational benefits, enhanced the firms’ image among external stakeholders and led to a favourable climate of trust and cooperation within the company. Similar findings were reported by Nunkoo and Smith (2013). This study reported that a participative leadership boosts employee morale and job satisfaction which may often lead to lower staff turnover and greater productivity in the workplace (Davidson et al., 2010). Evidently, stakeholder relationships are needed to bring external knowledge sources, which may in turn enhance organisational skills and performance (Frey and George, 2010).

The governments may also have an important role to play in this regard. The governments can take an active leading role in triggering responsible behaviours. Booyens (2010) also reiterated that greater efforts are required by governments, the private sector and other stakeholders to translate responsible tourism principles into policies, strategies and regulations. Governments may give incentives (through financial resources in the form of grants or tax relief) and enforce regulation in certain areas where responsible behaviour is required. The regulatory changes may possibly involve the use of eco-label and certifications. Alternatively, the government may encourage efficient and timely reporting and audits of sustainability (and social) practices. The governments may provide structured compliance procedures to tourism enterprises. Responsible tourism practices and their measurement, reporting and accreditation should be as clear and understandable as possible. The governments’ reporting standards and guidelines may possibly be drawn from the international reporting instruments (e.g. ISO, SA, AA, and GRI).

This research posits that sustainable and responsible environmental practices leverage the tourism enterprises performance as innovations can help to improve their bottom-line. This finding was also consonant with Bohdanowicz’s (2006) contribution. This research indicated that the investigated enterprises were increasingly pledging their commitment for discretionary investments in environmental sustainability, including; energy and water conservation, alternative energy generation, waste minimisation, reducing, reusing and recycling policies, pollution prevention, environmental protection, carbon offsetting programmes and the like. Indeed, some of the interviewees have proved that they were truly capable of reducing their operational costs through better efficiencies. Nevertheless, there may be still room for improvement as tourism enterprises can increase their investments in the latest technological innovations. This study indicates that there are small tourism enterprises that still need to realise the business case for responsible tourism. Their organisational culture and business ethos will have to become attuned to embrace responsible behavioural practices.

Nevertheless, it must be recognised that the tourism industry is made up of various ownership structures, sizes and clienteles. In addition, there are many stakeholder influences, which affect the firms’ level of social and environmental responsibility (Carroll and Shabana, 2010). Acquiring new knowledge must be accompanied by mechanisms for dissemination. Perhaps, there is scope in sharing best practices, even with rival firms. It is necessary for responsible businesses to realise that they need to work in tandem with other organisations in order to create shared value and to move the responsible tourism agenda forward. Therefore, this study’s findings encourage inter-firm collaboration and networking across different sectors of the tourism industry.

“…responsible behaviours have brought reputational benefits, enhanced the firms’ image among external stakeholders and led to a favourable climate of trust and cooperation within the company”.

This contribution contends that the notion of shared value is opening up new opportunities for responsible tourism and the sustainability agenda, particularly with its innovative approach to configure the value chain (Pfitzer, et al, 2013; Porter and Kramer 2011). There are competitive advantages that may arise from creating and measuring shared value. Evidently, there is more to responsible tourism than, ‘doing good by doing well’ (Garay and Font, 2012). As firms reap profits and grow, they can generate virtuous circles of positive multiplier effects. This paper has indicated that the tourism enterprises, who engage themselves in responsible and sustainable practices, are creating value for themselves and for society. In conclusion, this research puts forward the following key recommendations for the responsible tourism agenda:

• Promotion of laudable business processes that bring economic, social and environmental value;
• Encouragement of innovative and creative approaches, which foster the right environment for further development and application of sustainable and responsible practices;
• Enhancement of collaborations and partnership agreements with governments, trade unions and society in general, including the marketplace stakeholders;
• Ensuring that there are adequate levels of performance in areas such as health and safety, suitable working conditions and sustainable environmental practices;
• Increased awareness, constructive communication, dialogue and trust;
• National governments may create a regulatory framework which encourages and enables the implementation of sustainable and responsible behavioural practices by tourism enterprises.

References (a complete list of references that were cited in this paper)

Ayuso, S. (2007). Comparing voluntary policy instruments for sustainable tourism: The experience of the Spanish hotel sector. Journal of Sustainable Tourism, 15(2), 144-159.

Bohdanowicz, P. (2006). Environmental awareness and initiatives in the Swedish and Polish hotel industries—survey results. International Journal of Hospitality Management, 25(4), 662-682.

Booyens, I. (2010). Rethinking township tourism: towards responsible tourism development in South African townships. Development Southern Africa, 27(2), 273-287.

Bramwell, B., & Lane, B. (1993). Sustainable tourism: An evolving global approach. Journal of Sustainable Tourism, 1(1), 1-5.

Bramwell, B. & Rawding, L. (1996). Tourism marketing images of industrial cities. Annals of Tourism research, 23(1), 201-221.

Bramwell, B., & Sharman, A. (1999). Collaboration in local tourism policymaking. Annals of tourism research, 26(2), 392-415.

Bramwell, B., Lane, B., McCabe, S., Mosedale, J., & Scarles, C. (2008). Research perspectives on responsible tourism.

Buckley, R. (2012). Sustainable tourism: Research and reality. Annals of Tourism Research, 39(2), 528-546

Camilleri, M.A. (2014). Advancing the Sustainable Tourism Agenda Through Strategic CSR Perspectives, Tourism Planning & Development, 11:1, 42-56.

Camilleri, M.A. (2015) “Valuing Stakeholder Engagement and Sustainability Reporting”. Corporate Reputation Review, Vol. 18 (3).

Carroll, A.B., and Shabana, K.M (2010), The business case for corporate social responsibility: a review of concepts, research and practice. International Journal of Management Reviews 12 (1), 85-105.

Chiu, Y. T. H., Lee, W. I., & Chen, T. H. (2014). Environmentally responsible behavior in ecotourism: Antecedents and implications. Tourism Management, 40, 321-329.

Cooper, C. P. & Ozdil, I. (1992). From mass to ‘responsible’tourism: the Turkish experience. Tourism Management, 13(4), 377-386.

Crouch, G. I., & Ritchie, J. B. (1999). Tourism, competitiveness, and societal prosperity. Journal of business research, 44(3), 137-152.
Davidson, M. C., Timo, N. & Wang, Y. (2010). How much does labour turnover cost?: A case study of Australian four-and five-star hotels. International Journal of Contemporary Hospitality Management, 22(4), 451-466.

EU (2007). Agenda for a sustainable and competitive European tourism. http://ec.europa.eu/enterprise/sectors/tourism/documents/communications/commissioncommunication- accessed on the 12th December 2014.
EU (2012). European charter for a sustainable and responsible tourism http://ec.europa.eu/enterprise/sectors/tourism/sustainable-tourism/charter/index_en.htm accessed on the 12th December 2014.

Fleischer, A., & Felsenstein, D. (2000). Support for rural tourism: Does it make a difference?. Annals of tourism research, 27(4), 1007-1024.

Frey, N., & George, R. (2010). Responsible tourism management: The missing link between business owners’ attitudes and behaviour in the Cape Town tourism industry. Tourism Management, 31(5), 621-628.

Garay, L., & Font, X. (2012). Doing good to do well? Corporate social responsibility reasons, practices and impacts in small and medium accommodation enterprises. International Journal of Hospitality Management, 31(2), 329-337.

Getz, D., & Carlsen, J. (2000). Characteristics and goals of family and owner-operated businesses in the rural tourism and hospitality sectors. Tourism management, 21(6), 547-560.

Goodwin, H., & Francis, J. (2003). Ethical and responsible tourism: Consumer trends in the UK. Journal of Vacation Marketing, 9(3), 271-284.

Goodwin, H. (2007). Responsible tourism in destinations. http://haroldgoodwin.info/blog/?p=2745 accessed on the 11th December 2013.

Goodwin, H. (2011). Taking responsibility for tourism. Woodeaton, UK: Goodfellow Publishers Limited.

Goodwin (2013) What role does certification play in ensuring Responsible Tourism? – in WTM blog. http://www.wtmlondon.com/library/What-role-does-certification-play-in-ensuring-Responsible-Tourism#sthash.azaYgVZj.dpuf accessed on the 18th January 2014.

Goodwin (2015) Using Tourism to create shared value http://blog.wtmresponsibletourism.com/2015/02/16/using-tourism-to-create-shared-value-in-kerala/

Graci, S., & Dodds, R. (2008). Why go green? The business case for environmental commitment in the Canadian hotel industry. Anatolia, 19(2), 251-270.

Guardian (2014). http://www.theguardian.com/sustainable-business/2014/jan/23/davos-2014-climate-change-resource-security-sustainability-live accessed on the 18th January 2014.

Hall, C. M., & Lew, A. A. (1998). Sustainable tourism. A geographical perspective. Addison Wesley Longman Ltd.

Hall, C. M. (2010). Changing paradigms and global change: From sustainable to steady-state tourism. Tourism Recreation Research, 35(2), 131-143.

Hall, C. M. (2011). A typology of governance and its implications for tourism policy analysis. Journal of Sustainable Tourism, 19(4-5), 437-457.

Haywood, K. M. (1988). Responsible and responsive tourism planning in the community. Tourism management, 9(2), 105-118.

Iglesias, A., Garrote, L., Flores, F., & Moneo, M. (2007). Challenges to manage the risk of water scarcity and climate change in the Mediterranean. Water Resources Management, 21(5), 775-788.

IHG (2012a). Intercontintental Hotel Group: CSR Report 2012. http://www.ihgplc.com/files/pdf/2012_cr_report.pdf accessed on the 15th January 2014.

IHG (2012b). Intercontinental Hotel Group: CSR Report IHG Green Engage. http://www.ihgplc.com/index.asp?pageid=742 accessed on the 15th January 2014.
Jamal, T. B., & Getz, D. (1995). Collaboration theory and community tourism planning. Annals of tourism research, 22(1), 186-204.

Jones, A. (1987). Green tourism. Tourism management, 8(4), 354-356.

King, C. (2010). “One size doesn’t fit all” Tourism and hospitality employees’ response to internal brand management. International Journal of Contemporary Hospitality Management, 22(4), 517-534.

Kirk, D. (1998). Attitudes to environmental management held by a group of hotel managers in Edinburgh. International Journal of Hospitality Management, 17(1), 33-47.

Kramer, M. (2012). Shared Value: how corporations profit from solving social
problems. http://www.guardian.co.uk/sustainable-business/shared-value-how-corporationsprofit-
social-problems?intcmp=122 Accessed online on the 12th June 2012.

Krippendorf, J. (1982). Towards new tourism policies: The importance of environmental and sociocultural factors. Tourism management, 3(3), 135-148.

Krippendorf, J. (1987). Ecological approach to tourism marketing. Tourism Management, 8(2), 174-176.

Lee, T. H., Jan, F. H., & Yang, C. C. (2013). Conceptualizing and measuring environmentally responsible behaviors from the perspective of community-based tourists. Tourism Management, 36, 454-468.

Lloyd, B. (2015). Addressing Sustainable Development Goals: Shared value on the agenda at the 2015 World Economic Forum in Davos http://sharedvalue.org/groups/addressing-sustainable-development-goals-shared-value-agenda-2015-world-economic-forum-davos Accessed online on the 12th March 2015.

McIntyre, G. (1993). Sustainable tourism development: guide for local planners. World Tourism Organization (WTO).

Merwe, M. and Wöcke, A. (2007). An investigation into responsible tourism practices in the South African hotel industry. S. Afr. J. Bus. Manage, 38(2), 2

Miller, G. (2001). Corporate responsibility in the UK tourism industry. Tourism Management, 22(6), 589-598.
MTA (2015) Malta Tourism Authority: Why become ECO certified? http://www.mta.com.mt/why-become-eco-certified accessed on the 2nd February 2015.

Nunkoo, R., & Smith, S. L. (2013). Political economy of tourism: Trust in government actors, political support, and their determinants. Tourism management, 36, 120-132.

Pavesic, D. V., & Brymer, R. A. (1990). Job satisfaction: What’s happening to the young managers?. The Cornell Hotel and Restaurant Administration Quarterly, 30(4), 90-96.

Pfitzer, M., Bocksette, V., & Stamp, M. (2013). Innovating for Shared Value. Harvard Business Review.

Porter, M.E. & Kramer, M.R. (2011). Creating shared value: How to reinvent capitalism – and unleash a wave of innovation and growth. Harvard Business Review, (January/February), 62-77.

Poulston, J. M. (2009). Working conditions in hospitality: Employees’ views of the dissatisfactory hygiene factors. Journal of Quality Assurance in Hospitality & Tourism, 10(1), 23-43.

Sharpley, R. (2000). Tourism and sustainable development: Exploring the theoretical divide. Journal of Sustainable tourism, 8(1), 1-19.

Sharpley, R. (2014). Teaching responsible tourism. The Routledge Handbook of Tourism and Hospitality Education, 171.

Shaw, G., Bailey, A., & Williams, A. (2011). Aspects of service-dominant logic and its implications for tourism management: Examples from the hotel industry. Tourism Management, 32(2), 207-214.

UN (2014) https://sustainabledevelopment.un.org/topics/sustainabledevelopmentgoals

UNWTO – UNEP (2012). Tourism in the Green Economy: Background Report. http://sdt.unwto.org/en/content/publications-1 accessed on the 29th June 2013.

Wheeller, B. (1991). Tourism’s troubled times: Responsible tourism is not the answer. Tourism Management, 12(2), 91-96.

WTTC (2002). Speeches and Presentations. Retrieved from http://www.wttc.org/eng/Tourism_News/Speeches_and_Presentations/2002_Speeches_and_Presentations/accessed on the 10th March 2012.

WTTC (2011). Latest Policy on travel and tourism, Retrieved from htp://www.wttc.org/site_media/uploads/downloads/traveltourism2011.pdf accessed on the 2nd March 2012.

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Tagged as corporate social responsibility, corporate sustainability, creating shared value, CSR, csr, CSR2.0, csv, responsible tourism, SMEs, stakeholder engagement, strategic CSR, Sustainability, sustainable business, sustainable tourism, Tourism, tourism

April 18, 2015 · 2:52 pm

Environmental, Social and Governance Disclosures in Europe

Excerpt from: Camilleri, M. (2015). Environmental, social and governance disclosures in Europe. Sustainability Accounting, Management and Policy Journal, 6(2). http://www.emeraldinsight.com/doi/abs/10.1108/SAMPJ-10-2014-0065

Last year, the European Union (EU) announced its new guidelines on non-financial reporting that will only apply to some large entities with more than 500 employees. This includes listed companies as well as some unlisted companies; such as banks, insurance companies and other companies that are so designated by member states; because of their activities, size or number of employees. There are approximately 6,000 large companies and groups within the EU bloc (EU, 2014). The most prevalent reporting schemes in the EU were often drawn from; the G3 Guidelines of the Global Reporting Initiative (GRI) and the United Nations Global Compact (UNGC). In addition, several platforms and organisations that promote corporate sustainability reporting have developed partnerships with AccountAbility, OECD, UNEP, Carbon Disclosure Project and with many governments and sector organisations (Van Wensen et al., 2011; Kolk, Levy & Pinkse, 2008).

When one explores the key topics that companies reported on, it transpired that carbon emission disclosures have become quite a common practice (Kolk et al., 2008). Moreover, recently there was an increased awareness on the subject of human rights and the conditions of employment (Lund-Thomsen & Lindgreen, 2013). Curiously, online reporting has offered an opportunity for accountability and transparency as information is easily disseminated to different stakeholders (Zadek, Evans & Pruzan, 2013). This has inevitably led to increased stakeholder engagement, integrated reporting and enhanced external verification systems. This subject has also been reported by Simnett and Huggins (2015), who have also presented a number of interesting research questions which could possibly be addressed through engagement research. At this point in time, stakeholders are considering reporting schemes as a valuable tool that can improve the quality of their reporting, particularly as it enables them to benchmark themselves with other companies (Adams, Muir & Hoque, 2014). The GRI is often regarded as ‘a good starting point’ for this purpose. Moreover, the provision of a UNGC communication on progress is a new global trend that has become quite popular among business and non-profit organisations. Some of the European organisations are gradually disclosing environmental information or certain other key performance indicators that are of a non-financial nature in their reporting (Zadek et al., 2013). Generally, public policies are often viewed as part of the regular framework for social and employment practices. Therefore, a considerable commitment is made by local governments who act as drivers for stakeholder engagement (Albareda, Lozano, Tencati, Middtun & Perrini, 2008).

One way to establish a CSR-supporting policy framework is to adopt relevant strategies and actions in this regard. Such frameworks may be relevant for those countries that may not have a long CSR tradition or whose institutions lack accountability and transparency credentials (Zadek et al., 2013). It may appear that EU countries are opting for a mix of voluntary and mandatory measures to improve their ESG disclosure. While all member states have implemented the EU Modernisation Directive, they have done so in different ways. While the Modernisation Directive ensured a minimum level of disclosure, it was in many cases accompanied by intelligent substantive legislation. National governments ought to give guidance or other instruments that support improvements in sustainability reporting. Lately, there was a trend towards the development of regulations that integrate existing international reporting frameworks such as the GRI or the UNGC Communication on Progress. These frameworks require the engagement of relevant stakeholders in order to foster a constructive environment that brings continuous improvements in ESG disclosures. Regular stakeholder engagement as well as strategic communications can bring more responsible organisational behaviours (Camilleri, 2015). Many corporate businesses use non-governmental organisations’ regulatory tools, processes and performance-oriented standards with a focus on issues such as labour standards, human rights, environmental protection, corporate governance and the like. Nowadays, stakeholders, particularly customers expect greater disclosures, accountability and transparency in corporate reports.

At the moment, we are witnessing regulatory pressures for mandatory changes in CSR reporting. Of course, firms may respond differently to reporting regulations as there are diverse contexts and realities. In a sense, this paper reiterates Adams et al.’s (2014) arguments as it indicated that ESG disclosures are a function of the level of congruence between the government departments’ regulatory environment and the use of voluntary performance measures. Somehow, EU regulatory pressures are responding to energy crises, human rights matters and are addressing the contentious issues such as resource deficiencies including water shortages. Notwithstanding, big entities are also tackling social and economic issues (e.g. anti-corruption and bribery) as they are implementing certain environmental initiatives (e.g. waste reduction, alternative energy generation, energy and water conservation, environmental protection, sustainable transport et cetera). In this light, there are implications for practitioners and assurance providers of integrated reports, standard setters and regulators (Simnett & Huggins, 2015). Future engagement research can possibly consider how report content and reporting formats, might impact on organisations’ decision making (Correa and Larrinaga, 2015). This paper indicated that practice and policy issues would benefit from additional empirical evidence which analyse how the European disclosure regulations may positively or adversely affect the corporations’ stakeholders.

http://www.emeraldinsight.com/doi/abs/10.1108/SAMPJ-10-2014-0065

References

Adams, C.A., Muir, S. & Hoque, Z. (2014) “Measurement of sustainability performance in the public sector”, Sustainability Accounting, Management and Policy Journal, 5 (1), 46 – 67

Albareda, L., Lozano, J. M., Tencati, A., Midttun, A., & Perrini, F. (2008). The changing role of governments in corporate social responsibility: drivers and responses. Business Ethics: A European Review, 17(4), 347-363.

ASB (2006). Reporting Statement: Operating and Financial Review. https://www.frc.org.uk/Our-Work/Publications/ASB/Reporting-Statement-Operating-and-Financial-Review-File.pdf Accessed 30th August, 2014.

Bansal, P., Jiang, G. F., & Jung, J. C. (2014). Managing responsibly in tough economic times: strategic and tactical CSR during the 2008–2009 global recession. Long Range Planning.

BSR (2012). Trends in ESG Integration In Investments https://www.bsr.org/reports/BSR_Trends_in_ESG_Integration.pdf Accessed on the 20th September 2014.

Camilleri, M.A. (2015). Valuing Stakeholder Engagement and Sustainability Reporting. Corporate Reputation Review (18) 2.

Carroll, A.B. (1991). The Pyramid of Corporate Social Responsibility: Toward the Moral Management of Organizational Stakeholders. Business Horizons 34 (4) 39-48.CBS (2013)
CCA (2008). Climate Change Act. http://www.legislation.gov.uk/ukpga/2008/27/contents Accessed 2nd October, 2014.

Clark, G.L. & Knight, E.R. (2008). Implications of the UK Companies Act 2006 for institutional investors and the market for corporate social responsibility. Journal of International Law, 11, 259.

ComLaw (2010) Australian Government: “Building Energy Efficiency Disclosure Regulations 2010- F2010L01955 http://www.comlaw.gov.au/Details/F2010L01955 accessed on the 7th February 2015.

Companies Act (2013) The Companies Act 2006 (Strategic Report and Directors’ Report) Regulations 2013 No. 1970
http://www.legislation.gov.uk/uksi/2013/1970/pdfs/uksi_20131970_en.pdf accessed on the 8th February 2015.

Copenhagen Business School Public policy on CSR reporting: Danish experiences and other observations.https://www.globalreporting.org/SiteCollectionDocuments/Global-Conference-2013/slides/GRI-Academic-Public-Policy-TRJ-23May2013.pdf accessed on the 5th February, 2015.

Correa, C., & Larrinaga, C. (2015). Engagement research in social and environmental accounting. Sustainability Accounting, Management and Policy Journal, 6(1).

CSR Compass (2014). Responsible supply chain management.
http://www.csrcompass.com/responsible-supply-chain-management Accessed 23rd September, 2014.

Danish National Action Plan (2014). Implementation of the UN Guiding Principles on Business and Human Rights.

Danish Business Authority, Copenhagen. http://www.ohchr.org/Documents/Issues/Business/NationalPlans/Denmark_NationalPlanBHR.pdf Accessed 30th September 2014.

DCCA (2010). Corporate Social Responsibility and Reporting in Denmark. Danish Commerce and Companies Agency.
http://samfundsansvar.dk/file/319099/corporate_social_responsibility_and_reporting_in_denmark_september_2010.pdf Accessed 14th September 2014.

DCGC (2014). Dutch Corporate Governance Code: Principles of good corporate governance and best practice provisions.
http://commissiecorporategovernance.nl/download/?id=606 Accessed on the 2nd October, 2014.

DECC (2014). UK National Energy Efficiency Action Plan. Department of Energy and Climate Change.
http://ec.europa.eu/energy/efficiency/eed/doc/neep/2014_neeap_united-kingdom.pdf Accessed 29th August, 2014.

ECCJ (2014). Assessment of the EU Directive on the disclosure of non-financial information by certain large companies. http://business-humanrights.org/sites/default/files/media/documents/eccj-assessment-eu-non-financial-reporting-may-2104.pdf Accesses on the 3rd January 2015.

EU (2002). Corporate Social Responsibility: A business contribution to Sustainable Development. COM(2002) 347 final. Commission of the European Communities, Brussels.

EU (2008). National Public Policies in the European Union. ec.europa.eu/social/BlobServlet?docId=6716&langId=en accessed on the 10th February 2014

EU (2011). A renewed EU strategy 2011-14 for Corporate Social Responsibility.
http://ec.europa.eu/enterprise/newsroom/cf/_getdocument.cfm?doc_id=701 Accessed 3rd February 2014.

EU (2012a). Sustainable and responsible business European Expert Group on corporate social responsibility (CSR) and SMEs.
http://ec.europa.eu/enterprise/policies/sustainable-business/corporate-social-responsibility/sme/european-expert-group/index_en.htm Accessed 12th July 2014.

EU (2012b). Energy Efficient Directive. http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32012L0027 Accessed on the 5th January 2015.

EU (2014a). Sustainable Development. http://ec.europa.eu/environment/eussd/
Accessed 14th June 2014.

EU (2014b). Non-Financial Reporting.
http://ec.europa.eu/internal_market/accounting/non-financial_reporting/index_en.htm Accessed 25th June 2014.

EU (2014c). European Pollutant Release and Transfer Register (PRTR). http://europa.eu/legislation_summaries/environment/general_provisions/l28149_en.htm Accessed 29th August, 2014.

EU ETS (2014). EU Emission Trading Scheme. http://ec.europa.eu/clima/policies/ets/index_en.htm Accessed on the 10th January 2015.
Eurofound (2003). Towards a sustainable corporate social responsibility. European Foundation for the improvement of Living and Working Conditions. Office for Official Publications of the European Communities, Luxembourg.

FRC (2012). The UK Corporate Governance Code. Financial Reporting Council. https://www.frc.org.uk/Our-Work/Publications/Corporate-Governance/UK-Corporate-Governance-Code-September-2012.aspx Accessed 3rd October, 2014.

Gov.UK, “The UK is the first country to make it compulsory for companies to include emissions data for their entire organisation in their annual reports,” June 20, 2012, https://www.gov.uk/government/news/leading-businesses-to-disclose-greenhouse-gas-emissions.

Hąbek, P. & Wolniak, R. (2013). European Union regulatory requirements relating to Sustainability Reporting: The case of Sweden. Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Akademia Morska w Szczecinie.

Hartmann, F., Perego, P., & Young, A. (2013). Carbon Accounting: Challenges for Research in Management Control and Performance Measurement. Abacus, 49(4), 539-563.

Ioannou, I. & Serafeim, G. (2014). The consequences of mandatory corporate sustainability reporting. Harvard Business School Research Working Paper 11-100.

IPPC (2013) Integrated pollution prevention and control (until 2013).http://europa.eu/legislation_summaries/environment/waste_management/l28045_en.htm Accessed on the 10th January 2015.
Ireland’s Credit Institutions Act (2008). http://www.irishstatutebook.ie/2008/en/act/pub/0018/ Accessed 19th September 2014.

Kessler, A. & Cuerpo, C. (2011). Macroeconomic Impact of the Sustainable Economy Law. Documentos de Trabajo, 03.

Knopf, J., Kahlenborn, W., Hajduk, T., Weiss, D., Feil, M., Fiedler, R. & Klein, J. (2010). Corporate Social Responsibility National Public Policies in the European Union. EU Commission, Brussels.

Kolk, A., Levy, D., & Pinkse, J. (2008). Corporate responses in an emerging climate regime: the institutionalization and commensuration of carbon disclosure. European Accounting Review, 17(4), 719-745.

Kotler, P. (2011). Reinventing marketing to manage the environmental imperative. Journal of Marketing, 75(4), 132-135.

KPMG (2010). Carrots and Sticks – Promoting Transparency and Sustainability. An update on trends in Voluntary and Mandatory Approaches to Sustainability Reporting.

KPMG in collaboration with United Nations Environment Programme and Global Reporting Initiative in Africa. https://www.globalreporting.org/resourcelibrary/Carrots-And-Sticks-Promoting-Transparency-And-Sustainbability.pdf Accessed 01st October, 2014.

Lund-Thomsen, P. & Lindgreen, A. (2013). Corporate Social Responsibility in Global Value Chains: Where Are We Now and Where Are We Going?”. Journal of Business Ethics, 1-12.

Martinuzzi, A., Krumay, B. & Pisano, U. (2011). Focus CSR: The New Communication of the EU Commission on CSR and National CSR Strategies and Action Plans. European Sustainable Development Network (ESDN), Quarterly Report No, 23.

Mullerat, R. (2013). Corporate social responsibility: a European perspective. Jean Monnet/Robert Schuman Paper Series Vol. 13 No. 6, June 2013.

Nidasio, C. (2004). Implementing CSR on a large scale: The role of government. In 3rd Annual Colloquium of the European Academy of Business in Society, Ghent.

Porter, M.E. & Kramer, M.R. (2011). Creating Shared Value. Harvard Business Review (89) 1-2.

Progress Report (2008). For a Sustainable Germany. German Strategy for Sustainable Development. http://www.nachhaltigkeitsrat.de/fileadmin/user_upload/English/strategy/2008/German_Govt_NSDS_progress_report_08_E.pdf Accessed 10th October, 2014.

Rasche, A. (2009). Toward a model to compare and analyze accountability standards – the case of the UN Global Compact. Corporate Social Responsibility and Environmental Management 16 (4) 192–205.

Simnett, R. & Huggins, A.L. (2015) “Integrated reporting and assurance: where can research add value?: “, Sustainability Accounting, Management and Policy Journal, 6 (1).

Transparency International (2012). GRI: Germany’s corporate reports do not deliver what they promise. https://blog.transparency.org/2012/12/11/gri-germanys-corporate-reports-do-not-deliver-what-they-promise/ Accessed 21st September 2014.

Van Wensen, K., Broer, W., Klein, J. & Knopf, J. (2011). The State of Play in Sustainability Reporting in the European Union. European Commission, Brussels. http://ec.europa.eu/social/BlobServlet?docId=6727&langId=en Accessed 7th June 2014.

Whiteside, K. H., Boy, D., & Bourg, D. (2010). France’s ‘Grenelle de l’environnement’: openings and closures in ecological democracy. Environmental politics, 19(3), 449-467.

Zadek, S., Evans, R., & Pruzan, P. (Eds.). (2013). Building Corporate Accountability: Emerging Practice in Social and Ethical Accounting and Auditing. Routledge.

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Filed under Corporate Sustainability and Responsibility

Tagged as corporate citizenship, Corporate Governance, corporate social responsibility, Corporate Social Responsibility, Corporate Sustainability and Responsibility, CSR, csr, CSR Policies, csr policy, EU, EU CSR Reporting Policy, eu policy, european union, stakeholder engagement, stakeholder enge, Sustainability

March 29, 2015 · 11:07 am

Using Content Marketing Metrics for Academic Impact

Academic contributions start from concepts and ideas. When their content is relevant and of a high quality they can be published in renowned, peer-reviewed journals. Researchers are increasingly using online full text databases from institutional repositories or online open access journals to disseminate their findings. The web has surely helped to enhance fruitful collaborative relationships among academia. The internet has brought increased engagement among peers, over email or video. In addition, they may share their knowledge with colleagues as they present their papers in seminars and conferences. After publication, their contributions may be cited by other scholars.

The researchers’ visibility does not only rely on the number of publications. Both academic researchers and their institutions are continuously being rated and classified. Their citations may result from highly reputable journals or well-linked homepages providing scientific content. Publications are usually ranked through metrics that will assess individual researchers and their organisational performance. Bibliometrics and citations may be considered as part of the academic reward system. Highly cited authors are usually endorsed by their peers for their significant contribution to knowledge by society. As a matter of fact, citations are at the core of scientometric methods as they have been used to measure the visibility and impact of scholarly work (Moed, 2006; Borgman, 2000). This contribution explores extant literature that explain how the visibility of individual researchers’content may be related to their academic clout. Therefore, it examines the communication structures and processes of scholarly communications (Kousha and Thelwall, 2007; Borgmann and Furner 2002). It presents relevant theoretical underpinnings on bibliometric studies and considers different methods that can analyse the individual researchers’ or their academic publications’ impact (Wilson, 1999; Tague-Sutcliffe, 1992).

Citation Analysis
The symbolic role of citation in representing the content of a document is an extensive dimension of information retrieval. Citation analysis expands the scope of information seeking by retrieving publications that have been cited in previous works. This methodology offers enormous possibilities for tracing trends and developments in different research areas. Citation analysis has become the de-facto standard in the evaluation of research. In fact, previous publications can be simply evaluated on the number of citations and the relatively good availability of citation data for such purposes (Knoth and Herrmannova, 2014). However, citations are merely one of the attributes of publications. By themselves, they do not provide adequate and sufficient evidence of impact, quality and research contribution. This may be due to a wide range of characteristics they exhibit; including the semantics of the citation (Knoth and Herrmannova, 2014), the motives for citing (Nicolaisen, 2007), the variations in sentiment (Athar, 2014), the context of the citation (He, Pei, Kifer, Mitra and Giles, 2010), the popularity of topics, the size of research communities (Brumback, 2009; Seglen, 1997), the time delay for citations to show up (Priem and Hemminger, 2010), the skewness of their distribution (Seglen, 1992), the difference in the types of research papers (Seglen, 1997) and finally the ability to game / manipulate citations (Arnold and Fowler, 2010).

Impact Factors (IFs)
Scholarly impact is measure of frequency in which an “average article” has been cited over a defined time period in a journal (Glanzel and Moed, 2002). Journal citations reports are published in June, every year by Thomson-Reuters’ Institute of Scientific Information (ISI). These reports also feature data for ranking the Immediacy Index of articles, which measure the number of times an article appeared in academic citations (Harter, 1996). Publishers of core scientific journals consider IF indicators in their evaluations of prospective contributions. In Despite there are severe limitations in the IF’s methodology, it is still the most common instrument that ranks international journals in any given field of study. Yet, impact factors have often been subject to ongoing criticism by researchers for their methodological and procedural imperfections. Commentators often debate about how IFs should be used. Whilst a higher impact factor may indicate journals that are considered to be more prestigious, it does not necessarily reflect the quality or impact of an individual article or researcher. This may be attributable to the large number of journals, the volume of research contributions, and also the rapidly changing nature of certain research fields and the increasing representation of researchers. Hence, other metrics have been developed to provide alternative measures to impact factors.

h-index
The h-index attempts to calculate the citation impact of the academic publications of researchers. Therefore, this index measures the scholars productivity by taking into account their most cited papers and the number of citations that they received in other publications. This index can also be applied to measure the impact and productivity of a scholarly journal, as well as a group of scientists, such as a department or university or country (Jones, Huggett and Kamalski, 2011). The (Hirsch) h-index was originally developed in 2005 to estimate the importance, significance and the broad impact of an academic’s researcher’s cumulative research contributions. Initially, the h-index was designed to overcome the limitations of other measures of quality and productivity of researchers. It consists of a single number that reports on an author’s academic contributions that have at least the equivalent number of citations. For instance, an h-index of 3 would indicate that the author has published at least three papers that have been cited three times or more. Therefore, the most productive researcher may possibly obtaining a high h-index. Moreover, the best papers in terms of quality will be mostly cited. Interestingly, this issue is driving more researchers to publish in open access journals.

Webometrics
The science of webometrics (also cybermetrics) is still in an experimental phase. Björneborn and Ingwersen (2004) indicated that webometrics involves an assessment of different types of hyperlinks. They argued that relevant links may help to improve the impact of academic publications. Therefore, webometrics refer to the quantitative analysis of activity on the world wide web, such as downloads (Davidson, Newton, Ferguson, Daly, Elliott, Homer, Duffield and Jackson, 2014). Webometrics recognise that the internet is a repository for a massive number of documents. It disseminates knowledge to wide audiences. The webometric ranking involves the measurement of volume, visibility, and the impact of web pages. Webometrics emphasise on scientific output including peer-reviewed papers, conference presentations, preprints, monographs, theses, and reports. However, these kind of electronic metrics also analyse other academic material (including courseware, seminar documentation, digital libraries, databases, multimedia, personal pages and blogs among others). Moreover, webometrics consider online information on the educational institution, its departments, research groups, supporting services, and the level of students attending courses.

Web 2.0 and Social Media
Internet users are increasingly creating and publishing their content online. Never before has it been so easy for academics to engage with their peers on both current affairs and scientific findings. The influence of social media has changed the academic publishing scenario. As a matter of fact, recently there has been an increased recognition for measures of scholarly impact to be drawn from Web 2.0 data (Priem and Hemminger, 2010).

The web has not only revolutionised how data is gathered, stored and shared but also provided a mechanism of measuring access to information. Moreover, academics are also using personal web sites and blogs to enhance the visibility of their publications. This medium improves their content marketing in addition to traditional bibliometrics. Social media networks are providing blogging platforms that allows users to communicate to anyone with online access. For instance, Twitter is rapidly becoming used for work related purposes, particularly scholarly communication, as a method of sharing and disseminating information which is central to the work of an academic (Java, Song, Finin and Tseng B, 2007). Recently, there has been rapid growth in the uptake of Twitter by academics to network, share ideas and common interests, and promote their scientific findings (Davidson et al., 2014).

Conclusions and Implications

There are various sources of bibliometric data, each possess their own strengths and limitations. Evidently, there is no single bibliometric measure that is perfect. Multiple approaches to evaluation are highly recommended. Moreover, bibliometric approaches should not be the only measures upon which academic and scholarly performance ought to be evaluated. Sometimes, it may appear that bibliometrics can reduce the publications’ impact to a quantitative, numerical score. Many commentators have argued that when viewed in isolation these metrics may not necessarily be representative of a researcher’s performance or capacity. In taking this view, one would consider bibliometric measures as only one aspect of performance upon which research can be judged. Nonetheless, this chapter indicated that bibliometrics still have their high utility in academia. It is very likely that metrics will to continue to be in use because they represent a relatively simple and accurate data source. For the time being, bibliometrics are an essential aspect of measuring academic clout and organisational performance. A number of systematic ways of assessment have been identified in this regard; including citation analysis, impact factor, h-index and webometrics among others. Notwithstanding, the changes in academic behaviours and their use of content marketing on internet have challenged traditional metrics. Evidently, the measurement of impact beyond citation metrics is an increasing focus among researchers, with social media networks representing the most contemporary way of establishing performance and impact. In conclusion, this contribution suggests that these bibliometrics as well as recognition by peers can help to boost the researchers’, research groups’ and universities’ productivity and their quality of research.

References
Arnold, D. N., & Fowler, K. K. (2011). Nefarious numbers. Notices of the AMS, 58(3), 434-437.

Athar, A. (2014). Sentiment analysis of scientific citations. University of Cambridge, Computer Laboratory, Technical Report, (UCAM-CL-TR-856).

Borgman, C. L. (2000). Digital libraries and the continuum of scholarly communication. Journal of documentation, 56(4), 412-430.

Borgman, C. L., & Furner, J. (2002). Scholarly communication and bibliometrics.

Bornmann, L., & Daniel, H. D. (2005). Does the h-index for ranking of scientists really work?. Scientometrics, 65(3), 391-392.

Bornmann, L., & Daniel, H. D. (2007). What do we know about the h index?. Journal of the American Society for Information Science and technology, 58(9), 1381-1385.

Björneborn, L., & Ingwersen, P. (2004). Toward a basic framework for webometrics. Journal of the American Society for Information Science and Technology, 55(14), 1216-1227.

Glänzel, W., & Moed, H. F. (2002). Journal impact measures in bibliometric research. Scientometrics, 53(2), 171-193.

Harter, S. (1996). Historical roots of contemporary issues involving self-concept.

He, Q., Pei, J., Kifer, D., Mitra, P., & Giles, L. (2010, April). Context-aware citation recommendation. In Proceedings of the 19th international conference on World wide web (pp. 421-430). ACM.

Java, A., Song, X., Finin, T., & Tseng, B. (2007, August). Why we twitter: understanding microblogging usage and communities. In Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis (pp. 56-65). ACM. http://scholar.google.com/scholar?q=http://dx.doi.org/10.1145/1348549.1348556

Knoth, P., & Herrmannova, D. (2014). Towards Semantometrics: A New Semantic Similarity Based Measure for Assessing a Research Publication’s Contribution. D-Lib Magazine, 20(11), 8.

Kousha, K., & Thelwall, M. (2007). Google Scholar citations and Google Web/URL citations: A multi‐discipline exploratory analysis. Journal of the American Society for Information Science and Technology, 58(7), 1055-1065.

Moed, H. F. (2006). Citation analysis in research evaluation (Vol. 9). Springer Science & Business Media.

Nicolaisen, J. (2007). Citation analysis. Annual review of information science and technology, 41(1), 609-641.

Priem, J., & Hemminger, B. H. (2010). Scientometrics 2.0: New metrics of scholarly impact on the social Web. First Monday, 15(7).

Seglen, P. O. (1992). The skewness of science. Journal of the American Society for Information Science, 43(9), 628-638.

Seglen, P. O. (1997). Why the impact factor of journals should not be used for evaluating research. Bmj, 314(7079), 497.

Tague-Sutcliffe, J. (1992). An introduction to informetrics. Information processing & management, 28(1), 1-3.

Wilson, C. S. (1999). Informetrics. Annual Review of Information Science and Technology (ARIST), 34, 107-247.

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Filed under webometrics

Tagged as academia, academic writing, Analytics, Bibliometrics, bibliometrics, Big Data, citation analysis, citations, content marketing, Content Marketing, Informetrics, informetrics, web2.0, webometrics

February 7, 2015 · 7:36 pm

Better Access to Finance for European Enterprises

Although there has been substantial research on enterprises; information on their financing needs is quite limited. Small business entities are often viewed by financial institutions as relatively risky. In this light, the European Union (EU) continues to reaffirm its support for the small and medium sized enterprises (SMEs). As a matter of fact, the EU has drafted the ‘Small Business Act’ in 2008 and has refined it again in 2011. Another example of the EU’s commitment in this regard is conspicuous as it frequently calls for research and training schemes in the subject area of ‘SMEs’, where grants are issued under ‘Marie Curie’ and ‘Cordis FP7’ programmes.

Very often, small firms tend to find themselves in an equity gap, where it may prove quite hard to acquire capital. Although commercial banks are key providers of finance for many enterprises through the provision of loans; unsecured debt finance without collateral is very limited. Therefore, SMEs’ growth into viable investment opportunities may be severely restricted. Throughout the years, the EU has dedicated several funds to help these small (and micro) enterprises. Recently, the EU’s Enterprise and Industry Division has reiterated the importance of improving access to finance for SMEs. This interesting development has led to numerous funding schemes and to a new generation of financial instruments that support SMEs’ financing needs. Evidently, the EU has committed itself to boost its support for SMEs through various financing programmes, as illustrated in Table 1.

Table 1: EU measures that support SMEs

Source: EU (2015).

Europe is responding to the contentious issues facing SMEs by providing a mix of flexible, financial instruments under programmes, such as; the Competitiveness and Innovation Framework Programme (CIP), Progress Microfinance, the Risk Sharing Instrument (FP7), EIB loans and Structural Funds. For instance, the EU (in 2013) allocated a budget of €2.3bn specifically to bolster the “Competitiveness of Enterprises and Small and Medium-sized Enterprises” (COSME) during the period between 2014 to 2020. This initiative has been designed to support European SMEs in four key areas:

Developing entrepreneurship;
Helping SMEs access finance;
Supporting SMEs who wish to internationalise their business, and
Reducing the legislative and regulatory burden on SMEs.

Almost 220,000 SMEs profited from the Commission’s Competitiveness and Innovation Framework Programme (CIP) programme (EU, 2013). CIP has proved to be a very successful programme over the past few years. Since 2007, there were many SMEs that had benefited from CIP Funding . In fact, CIP was able to stimulate more than €15 billion of financing for SMEs, so far (EU, 2013). With a budget of €1.1 billion (CIP) has helped to mobilise over €13 billion of loans and €2.3 billion of venture capital for SMEs across Europe. Under its SME guarantee facility, CIP has helped nearly 220,000 SMEs to access loans.

These loan guarantees are required by individual entrepreneurs or small enterprises that do not possess sufficient collateral. Every euro that is dedicated to guarantees will in turn stimulate 30 euros in bank loans (EU, 2013).

Sources:

EU (2015) Improving the financing environment in Europe. http://ec.europa.eu/enterprise/policies/finance/financing-environment/index_en.htm accessed on the 20th January 2015.

EU (2013) Improving access to finance for SMEs: key to economic recovery. http://europa.eu/rapid/press-release_IP-13-387_en.htm?locale=FR accessed on the 20th January 2015.

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Filed under Marketing, SMEs, Social Cohesion

Tagged as enterprises, entrepreneurship, Europe, European SMEs, finance, marketing, micro, Micro Finance, small business, SMEs, Social Cohesion

February 2, 2015 · 5:38 pm

Using Big Data for Customer-Centric Marketing

The latest advances in information and communications technologies have brought significant improvements for the processing and storage of digital information. Nowadays, users can easily access multiple sources of data that is readily available through websites, social media networks as well as from mobile devices, including smart phones and tablets. These developments have inevitably led to endless opportunities for marketers to leverage themselves by using big data analytics.

Big data has expanded in recent years. As a matter of fact, digital data has dwarfed analogue content and continues to grow at an exponential rate. This data is being collected and stored in massive amounts by search engines and eCommerce conglomerates. In addition, more information is being gathered through social media networks. In fact, all individuals leave a digital trail of data as they move about in the virtual and physical worlds. This phenomenon is called, “data exhaust”. Initially, this term was used to describe how Amazon.com used predictive analytics in order to suggest items for customers. Hence, predictive analytics anticipates human behaviours that have not happened yet. Evidently, it is based on large amounts of current and past indicative data that has been collected from multiple sources. Yet, at the moment, such analytics cannot determine when and why individuals may change their preferences for certain brands. Another new addition to big data is called preventative analytics. This latter one is aimed at reducing the likelihood of contingent situations, risk and uncertainty. It may be particularly relevant in the fields of healthcare, public services and law enforcement.

Data is the new currency for connecting people, ideas and products. Today, digital information is being gathered in innovative, new ways that have dramatically changed and improved consumers’ experience. For instance, online businesses are commonly utilising browser cookies to track websites that are visited by internet users. Once individual users leave these sites, some of the products or services they had viewed; will be shown to them again and again in native advertisements, across different websites. Therefore, businesses are using browsing session data, combined with the consumers’ purchase history to deliver “suitable” items for consumers. Many brands are becoming quite proficient in personalising their offerings – as they collect, classify and use large data volumes on consumers’ behaviours.

This year, more brands shall be using mobile devices and networks to acquire sensory data. As more customers are increasingly carrying smartphones with them, they are (or may be) getting used to receiving compelling offers that instantaneously pop up on their mobile devices. This type of geo-based marketing message is delivered at the right time and the right place. Of course, firms will need more than transaction history and loyalty schemes to be effective at this. They will inevitably require socio-demographic and geo-data that other businesses are not capturing. Moreover, anonymous cookieless data-capture methods are connecting consumer data with matching geo-location-based data. It may appear that these methods are empowering marketers to hyper-target consumers with real-time mobile ad campaigns before, during and after in-store activity. Geo-location capabilities are not only enabling advertisers to capitalise on leads, in real time; but they can also offer valuable insights on shopping habits and consumer behaviours. This information is valuable to brands as they seek to acquire relevant information on their consumers’ digital behaviours and physical movements.

Notwithstanding, businesses have become even more interactive through the proliferation of near-field communication (NFC). Basically, NFCs are embedded chips situated inside smart devices. These chips exchange data with retailers’ items possessing NFC tags. It is envisaged that mobile wallet transactions using this NFC technology are expected to reach $110 billion by 2017 (CNBC, 2013). The latest Android and Microsoft smartphones already include these NFC capabilities. Indeed, these technological developments can enable businesses to provide a deeper personalisation of content as well as bespoken offers to individuals. Consumers use apps that may involuntarily indicate their geo-location to third parties. As a result, data collection has greatly benefited from geo-data services like satellites, near-field communication and global positioning systems. These systems track users’ movements that measure traffic and other real-time phenomena. Arguably, the emergence of such data-driven, digital technologies are adding value to customer-centric marketing endeavours. Unsurprisingly, sensor analytics, geo-location and social data-capture were some of the big trends that were recently announced during the 2015 Consumer Electronics Show.

Big data is fundamentally shifting how marketers collect, analyse and utilise data to reach out to customers. It is helping companies to get new insights into how consumers behave. The challenge for marketers is not to become dependent on big data and analytics to drive business strategies, but rather to recognise its value as a tool for customer satisfaction. Therefore, big data should inform, not consume marketing efforts. Perhaps, new marketing decision-making ought to harness big data for increased targeting and re-targeting of individuals and online communities. Lately, on-demand, real-time marketing has become more personalised. Every customer contact with a brand is a moment of truth, in real-time. Businesses who are not responding with seamless externally-facing solutions will risk losing their loyal customers to rivals.

This contribution suggests that a strategic approach to data management can generate leads and conversions. It also maintains that an evolving digital ecosystem will lead to superior levels of customer service, engagement and repeat business.

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Filed under Marketing

Tagged as Analytics, analytics, Big Data, big data, data driven marketing, digital marketing, Digital Marketing, eMarketing, marketing

Substantia Mea

CSR 2.0 – A Conceptual Framework For Corporate Sustainability and Responsibility

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The future of marketing is mobile…

Using Content Marketing Metrics for Academic Impact

Using Big Data for Customer-Centric Marketing

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