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Opinion and Consensus Dynamics in Tourism Digital Ecosystems

Conference paper

Abstract

A tourism destination is a social network with a group of interacting stakeholders jointly producing the experience that the travellers consume. The harmonisation and coordination of stakeholders’ views and the development of a consensus-based strategy are essential elements for destination competitiveness and growth. Despite that, there is still scarce research aimed at analysing the mechanisms through which consensus can be achieved and how such a process can be assessed and monitored. This paper aims at contributing to fill this gap applying a spectral analysis to three destination networks with the objective of analysing the mechanisms through which information flows across the connections that link the different stakeholders and those that rule the establishment of a common opinion. Contributions to the body of knowledge and managerial implications are discussed and suggestions for further research are given.

Keywords

Digital ecosystems Tourism destinations Opinion dynamics 

References

  1. Amason, A. C. (1996). Distinguishing the effects of functional and dysfunctional conflict on strategic decision making: Resolving a paradox for top management teams. Academy of Management Journal, 39(1), 123–148.CrossRefGoogle Scholar
  2. Arenas, A., Díaz-Guilera, A., Kurths, J., Moreno, Y., & Zhou, C. (2008). Synchronization in complex networks. Physics Reports, 469, 93–153.CrossRefGoogle Scholar
  3. Baggio, R., & Cooper, C. (2010). Knowledge transfer in a tourism destination: the effects of a network structure. The Service Industries Journal, 30(10), 1–15.CrossRefGoogle Scholar
  4. Baggio, R., & Del Chiappa, G. (2013a). Tourism destinations as digital business ecosystems. In L. Cantoni & Z. Xiang (Eds.), Information and Communication Technologies in Tourism 2013 (pp. 183–194). Vienna, Austria: Springer.CrossRefGoogle Scholar
  5. Baggio, R., & Del Chiappa, G. (2013b). Real and virtual relationships in tourism digital ecosystems. Information Technology and Tourism, pp. 1–17. Google Scholar
  6. Baggio, R., Scott, N., & Cooper, C. (2010). Improving tourism destination governance: a complexity science approach. Tourism Review, 65(4), 51–60.CrossRefGoogle Scholar
  7. Beritelli, P. (2011). Do actors really agree on strategic issues? Applying consensus analysis of stakeholders perceptions in tourism destination communities. Tourism Analysis, 16(1), 219–241.CrossRefGoogle Scholar
  8. Bonacich, P. (1987). Power and centrality: A family of measures. American Journal of Sociology, 92, 1170–1182.CrossRefGoogle Scholar
  9. Bowman, C. (1991). Perceptions of competitive strategy, consensus, and performance. Unpublished doctoral thesis, Cranfield Institute of Technology, Bedfordshire, UK.Google Scholar
  10. Bramwell, B., & Sharman, A. (1999). Collaboration in local tourism policymaking. Annals of Tourism Research, 26(2), 392–415.CrossRefGoogle Scholar
  11. Bregoli, I., & Del Chiappa, G. (2013). Coordinating relationships among destination stakeholders: Evidence from Edinburgh (UK). Tourism Analysis, 18(2), 145–155.CrossRefGoogle Scholar
  12. Breukel, A., & Go, F. M. (2009). Knowledge-based network participation in destination and event marketing: A hospitality scenario analysis perspective. Tourism Management, 30(2), 184–193.CrossRefGoogle Scholar
  13. Brin, S., & Page, L. (1998). The Anatomy of a large-scale hypertextual (Web) search engine. Computer Networks and ISDN Systems, 30(1–7), 107–117.CrossRefGoogle Scholar
  14. Burstein, P. (1991). Policy domains: organization, culture and policy outcomes. Annual Review of Sociology, 17(3), 327–350.CrossRefGoogle Scholar
  15. Castellano, C., Fortunato, S., & Loreto, V. (2009). Statistical physics of social dynamics. Reviews of Modern Physics, 81(2), 591–646.CrossRefGoogle Scholar
  16. Chakrabarti, D., Wang, Y., Wang, C., Leskovec, J., & Faloutsos, C. (2008). Epidemic thresholds in real networks. ACM Transactions on Information and System Security (TISSEC), 10(4), 1.CrossRefGoogle Scholar
  17. Danon, L., Ford, A. P., House, T., Jewell, C. P., Keeling, M. J., Roberts, G. O., Ross, J. V., & Vernon, M. C. (2011). Networks and the epidemiology of infectious disease. Interdisciplinary Perspectives on Infectious Diseases, 2011, 284909.Google Scholar
  18. Del Chiappa, G., & Presenza, A. (2013). The use of network analysis to assess relationships among stakeholders within a tourism destination. An empirical investigation on Costa Smeralda-Gallura (Italy). Tourism Analysis, 18(1), 1–13.CrossRefGoogle Scholar
  19. Del Chiappa, G., & Bregoli, I. (2012). Destination branding development: Linking together supply-side and demand-side perspectives. In R. H. Tsiotsou & R. E. Goldsmith (Eds.), Strategic marketing in tourism services. Emerald: Bingley.Google Scholar
  20. Fiedler, M. (1973). Algebraic connectivity of graphs. Czechoslovak Mathematical Journal, 23(98), 298–305.Google Scholar
  21. Floyd, S. W., & Wooldridge, B. (1992). Middle management involvement in strategy and its association with strategic type: A research note. Strategic Management Journal, 13(S1), 153–167.Google Scholar
  22. Fortunato, S. (2010). Community detection in graphs. Physics Reports, 486(3–5), 75–174.CrossRefGoogle Scholar
  23. Funilkul, S., & Chutimaskul, W. (2009). The framework for sustainable eDemocracy development. Transformation Government: People, Process and Policy, 3(1), 16–31.Google Scholar
  24. Fyall, A. (2011). Destination management: Challenges and opportunities. In R. Wang & A. Pizam (Eds.), Destination marketing and management: Theories and applications (pp. 340–357). Oxford: CABI.Google Scholar
  25. Iaquinto, A. L., & Fredrickson, J. W. (1997). TMT agreement about the strategic decision process: A test of some of its determinants and consequences. Strategic Management Journal, 18(1), 63–75.CrossRefGoogle Scholar
  26. Jamal, T. B., & Getz, D. (1995). Collaboration theory and community tourism planning. Annals of Tourism Research, 22(1), 186–204.Google Scholar
  27. Katz, L. (1953). A new status index derived from sociometric analysis. Psychometrika, 18(1), 39–43.CrossRefGoogle Scholar
  28. Kellermanns, F. W., Walter, J., Lechner, C., & Floyd, S. W. (2005). The lack of consensus about strategic consensus: Advancing theory and research. Journal of Management, 31, 719–737.CrossRefGoogle Scholar
  29. Kuramoto, Y. (1984). Chemical oscillations, waves, and turbulence. Berlin: Springer.CrossRefGoogle Scholar
  30. Lang, S. (1970). Linear Algebra. Reading, MA.: Addison-Wesley Pub. Co.Google Scholar
  31. López-Pintado, D. (2008). Diffusion in complex social networks. Games and Economic Behavior, 62(2), 573–590.CrossRefGoogle Scholar
  32. Markóczy, L. (2001). Consensus formation during strategic change. Strategic Management Journal, 22, 1013–1031.CrossRefGoogle Scholar
  33. Micera, R., Presenza, A., Splendiani, S., & Del Chiappa, G. (2013), SMART Destinations. New strategies to manage tourism industry. In G. Schiuma, J. C. Spender & A. Pulic (Eds.), Proceedings of “International Forum on Knowledge Asset Dynamics”, Zagreb (Croatia), June 12–14 (pp. 1405–1422).Google Scholar
  34. Mohar, B. (1991). The Laplacian spectrum of graphs. In Y. Alavi, G. Chartrand, O. R. Oellermann, & A. J. Schwenk (Eds.), Graph theory, combinatorics, and applications (Vol. 2, pp. 871–898). New York: Wiley.Google Scholar
  35. Moscardo, G. (2011). The role of knowledge in good governance for tourism. In E. Laws, H. Richins, J. Agrusa, & N. Scott (Eds.), Tourist destination governance: Practice, theory and issues (pp. 67–80). Wallingford, UK: CABI.CrossRefGoogle Scholar
  36. Nordin, S., & Svensson, B. (2007). Innovative destination governance: The Swedish ski resort Are. The International Journal of Entrepreneurship and Innovation, 8(1), 53–66.CrossRefGoogle Scholar
  37. Pforr, C. (2006). Tourism policy in the making: An Australian network study. Annals of Tourism Research, 33(1), 87–108.CrossRefGoogle Scholar
  38. Pluchino, A., Latora, V., & Rapisarda, A. (2005). Changing opinions in a changing world: A new perspective in socio physics. International Journal of Modern Physics C, 16(5), 515–531.CrossRefGoogle Scholar
  39. Priem, R. L. (1990). Top management team group factors, consensus, and firm performance. Strategic Management Journal, 11, 469–478.CrossRefGoogle Scholar
  40. Restrepo, J. G., Ott, E., & Hunt, B. R. (2005). Onset of synchronization in large networks of coupled oscillators. Physical Review E, 71(3), 036151.CrossRefGoogle Scholar
  41. Restrepo, J. G., Ott, E., & Hunt, B. R. (2006). Characterizing the dynamical importance of network nodes and links. Physical Review Letters, 97, 094102.Google Scholar
  42. Ryan, C. (2002). Equity, management, power sharing and sustainability—issues of the ‘new tourism’. Tourism Management, 23(1), 17–26.CrossRefGoogle Scholar
  43. Van Mieghem, P. (2010). Graph spectra for complex networks. Cambridge: Cambridge University Press.Google Scholar
  44. Wooldridge, B., & Floyd, S. W. (1989). Research notes and communications strategic process effect on consensus. Strategic Management Journal, 10, 295–302.CrossRefGoogle Scholar
  45. Yang, J. (2010). Antecedents and consequences of knowledge sharing in international tourist hotels. Journal of Hospitality Management, 29(1), 42–52.CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  1. 1.Master in Economics and Tourism and Dondena Center for Research on Social DynamicsBocconi UniversityMilanItaly
  2. 2.Department of Economics and BusinessUniversity of Sassari and CRENoSSassariItaly

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