Journal of Smart Tourism

Smart Tourism Research Center, Kyung Hee University (경희대학교 스마트관광연구소)
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Factors Influencing the Data Sharing Practices of European Tourism Stakeholders: Considerations for a Sustainable Common European Tourism Data Space

  • Jason L. Stienmetz (School of Tourism and Service Management, Modul University Vienna)
  • Received : 2024.06.27
  • Accepted : 2024.10.11
  • Published : 2024.09.30
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Abstract

Recognizing the critical importance of data and its vital role in advancing the tourism industry, the European Union has begun to invest significantly in the creation of a common European Tourism Data Space (ETDS), an infrastructure to facilitate the sharing of data among tourism stakeholder organizations. In order to inform the design and governance strategies of the ETDS, a series of binary logistic regression models are evaluated to understand the key factors that influence tourism stakeholders' decisions to share various categories of tourism ecosystem data (i.e., Human Capital, Natural Capital, Built Capital, Economic/Social Capital, Environmental Impact, Economic Impact, and Social Impact data) with third parties. Results based on online questionnaire data obtained from European tourism organizations (n=209) indicate that organizational resources, typology, motivations, and effort expectancy all play varying roles in tourism stakeholder data sharing practice. Importantly, this research provides preliminary empirical evidence to support the on-going development of the ETDS. Additionally, this investigation provides the opportunity to revisit the formative theories related to organizational data sharing and to re-evaluate them within the context of today's rapidly evolving tourism sector.

Keywords

Acknowledgement

This research has been funded by the European Union: Project# 101083920 (Preparatory Actions for the Data Space for Tourism).

References

  1. Belloc, F. (2012). Corporate governance and innovation: A survey. Journal of Economic Surveys, 26(5), 835-864.
  2. Bennett, M., & Collins, P. (2010). The law and economics of information sharing: The good, the bad and the ugly. European Competition Journal, 6(2), 311-337.
  3. Beritelli, P., & Laesser, C. (2011). Power dimensions and inluence reputation in tourist destinations: Empirical evidence from a network of actors and stakeholders. Tourism Management, 32(6), 1299-1309.
  4. Chen, J.-S., Kerr, D., Chou, C. Y., & Ang, C. (2017). Business co-creation for service innovation in the hospitality and tourism industry. International Journal of Contemporary Hospitality Management, 29(6), 1522-1540.
  5. Chim-Miki, A. F., & Batista-Canino, R. M. (2017). Tourism coopetition: An introduction to the subject and a research agenda. International Business Review, 26(6), 1208-1217.
  6. Christopher, M., & Gaudenzi, B. (2009). Exploiting knowledge across networks through reputation management. Industrial Marketing Management, 38(2), 191-197.
  7. Ciampi, F., Demi, S., Magrini, A., Marzi, G., & Papa, A. (2021). Exploring the impact of big data analytics capabilities on business model innovation: The mediating role of entrepreneurial orientation. Journal of Business Research, 123, 1-13.
  8. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319.
  9. European Commission. (2023, July 20). Communication from the commission-Towards a common European tourism data space: Boosting data sharing and innovation across the tourism ecosystem (C(2023)4787). Publications Ofice of the European Union. https://single-marketeconomy.ec.europa.eu/publications/communicationcommission-towards-common-european-tourism-data-space_en
  10. European Commission. (2024, April 4). Shaping Europe's digital future. A European strategy for data. https://digitalstrategy.ec.europa.eu/en/policies/strategydata#:~:text=The%20European%20strategy%20for%20data%20aims%20at%20creating,to%20the%20creation%20of%20Common%20European%20Data%20Spaces.
  11. Fyall, A., Garrod, B., & Wang, Y. (2012). Destination collaboration: A critical review of theoretical approaches to a multi-dimensional phenomenon. Journal of Destination Marketing & Management, 1(1-2), 10-26.
  12. Government of Singapore. (2024, February 8). STAN - Singapore tourism analytics network. Frequently Asked Questions. https://stan.stb.gov.sg/content/stan/en/resources/faq.html
  13. Grant, R. M. (1996). Toward a knowledge-based theory of the irm. Strategic Management Journal, 17(S2), 109-122.
  14. Gretzel, U., Sigala, M., Xiang, Z., & Koo, C. (2015). Smart tourism: Foundations and developments. Electronic Markets, 25(3), 179-188.
  15. Gretzel, U., Werthner, H., Koo, C., & Lamsfus, C. (2015). Conceptual foundations for understanding smart tourism ecosystems. Computers in Human Behavior, 50, 558-563.
  16. Halawi, L. A., Aronson, J. E., & McCarthy, R. V. (2005). Resource-based view of knowledge management for competitive advantage. The Electronic Journal of Knowledge Management, 3(2), 75-86.
  17. Hooley, G., Broderick, A., & Möller, K. (1998). Competitive positioning and the resource-based view of the irm. Journal of Strategic Marketing, 6(2), 97-116.
  18. Ianioglo, A., & Rissanen, M. (2020). Global trends and tourism development in peripheral areas. Scandinavian Journal of Hospitality and Tourism, 20(5), 520-539.
  19. King, W. R., & Teo, T. S. H. (1994). Facilitators and inhibitors for the strategic use of information technology. Information & Management, 27(2), 71-87.
  20. Kitchin, R. (2014). The data revolution: Big data, open data, data infrastructures and their consequences. London: Sage.
  21. Klein, T., & Verhulst, S. (2017). Access to New Data Sources for Statistics: Business Models and Incentives for the Corporate Sector. SSRN Electronic Journal.
  22. Koo, C., Shin, S., Gretzel, U., Hunter, W. C., & Chung, N. (2016). Conceptualization of smart tourism destination competitiveness. Asia Paciic Journal of Information Systems, 26(4), 561-576.
  23. Krutwaysho, O., & Bramwell, B. (2010). Tourism policy implementation and society. Annals of Tourism Research, 37(3), 670-691.
  24. Lahdesmaki, M.,&Takala, T.(2012). Altruism in business - an empirical study of philanthropy in the small business context. Social Responsibility Journal, 8(3), 373-388.
  25. Lambe, C. J., Wittmann, C. M., & Spekman, R. E. (2001). Social Exchange Theory and Research on Business-to-Business Relational Exchange. Journal of Business-to-Business Marketing, 8(3), 1-36.
  26. Lawler, E. J., & Thye, S. R. (1999). Bringing emotions into social exchange theory. Annual Review of Sociology, 25(1), 217-244.
  27. Lelo De Larrea, G., Altin, M., Koseoglu, M. A., & Okumus, F. (2021). An integrative systematic review of innovation research in hospitality and tourism. Tourism Management Perspectives, 37, 100789.
  28. Mayer-Schönberger, V., & Cukier, K. (2013). Big data: A revolution that will transform how we live, work, and think.New York:Houghton Miflin Harcourt.
  29. McNeely, C. L., & Hahm, J. (2014). The big (data) bang: policy, prospects, and challenges. Review of Policy Research, 31(4), 304-310.
  30. Niu, Y., Ying, L., Yang, J., Bao, M., & Sivaparthipan, C. B. (2021). Organizational business intelligence and decision making using big data analytics. Information Processing & Management, 58(6), 102725.
  31. Ogutu, H., Adol, G. F. C., Bujdosó, Z., Andrea, B., Fekete-Farkas, M., & Dávid, L. D. (2023). Theoretical nexus of knowledge management and tourism business enterprise competitiveness: An integrated overview. Sustainability, 15(3), 1948.
  32. Otto, B., Ten Hompel, M., & Wrobel, S. (Eds.). (2022). Designing data spaces: The ecosystem approach to competitive advantage. Cham, Switzerland: Springer International Publishing.
  33. Porat, M. U. (2009). The information economy: Deinition and measurement. In Rise of the knowledge worker (pp. 101-131). Boston: Routledge
  34. Rogers, E. M. (1962). Diffusion of innovations. New York: Free Press of Glencoe.
  35. Russell, S. V., Lafferty, G., & Loudoun, R. (2008). Examining tourism operators' responses to environmental regulation: The role of regulatory perceptions and relationships. Current Issues in Tourism, 11(2), 126-143.
  36. Scott, W. R. (2013). Institutions and organizations: Ideas, interests, and identities. Thousand Oaks, California: SAGE Publications.
  37. Soares, A. L. V., Mendes-Filho, L., & Gretzel, U. (2021). Technology adoption in hotels: Applying institutional theory to tourism. Tourism Review, 76(3), 669-680.
  38. Stienmetz, J. L., & Fesenmaier, D. R. (2013). Traveling the network: A proposal for destination performance metrics. International Journal of Tourism Sciences, 13(2), 57-75.
  39. Stoddart, M. C. J., Catano, G., Ramos, H., Vodden, K., Lowery, B., & Butters, L. (2020). Collaboration gaps and regional tourism networks in rural coastal communities. Journal of Sustainable Tourism, 28(4), 625-645.
  40. Venkatesh, Morris, Davis, & Davis. (2003). User acceptance of information technology: Toward a uniied view. MIS Quarterly, 27(3), 425.
  41. Wang, Y., & Krakover, S. (2008). Destination marketing: Competition, cooperation or coopetition? International Journal of Contemporary Hospitality Management, 20(2), 126-141.
  42. Welch, E. W., Feeney, M. K., & Park, C. H. (2016). Determinants of data sharing in U.S. city governments. Government Information Quarterly, 33(3), 393-403.
  43. Wenger, E. (2008). Communities of practice: Learning as a social system. https://thesystemsthinker.com/communities-of-practicelearning-as-a-social-system/
  44. Williams, A. M., Rodriguez, I., & Makkonen, T. (2020). Innovation and smart destinations: Critical insights. Annals of Tourism Research, 83, 102930.
  45. Willman, P. (2003). The evolution of regulatory relationships; regulatory institutions and irm behaviour in privatized industries. Industrial and Corporate Change, 12(1), 69-89.
  46. Wöber, K. W. (1998). TourMIS: An adaptive distributed marketing information system for strategic decision support in national, regional, or city tourist ofices. Paciic Tourism Review, 2(3-4), 273-286.
  47. Zenk-Möltgen, W., Akdeniz, E., Katsanidou, A., Nasshoven, V., & Balaban, E. (2018). Factors inluencing the data sharing behavior of researchers in sociology and political science. Journal of Documentation, 74(5), 1053-1073.
  48. Zygmuntowski, J. J., Zoboli, L., & Nemitz, P. F. (2021). Embedding European values in data governance: A case for public data commons. Internet Policy Review, 10(3).