Knowledge transfer in a tourism destination: The effects of a network structure

Service Industries Journal

Volumn 30, Issue 10, 2010, Pages 1757-1771

  Baggio, Rodolfo ^a   Cooper, Chris ^b  

^a BOCCONI UNIVERSITY   (Italy)

^b OXFORD BROOKES UNIVERSITY   (United Kingdom)

Author keywords

Epidemic Diffusion models; Knowledge transfer; Network analysis; Tourism destinations

Indexed keywords

COMMUNICATION; COMPETITIVENESS; INTERNATIONAL TOURISM; KNOWLEDGE; NETWORK ANALYSIS; NETWORKING; NUMERICAL MODEL; SOCIAL NETWORK; TOURIST DESTINATION;

ELBA; ITALY; LIVORNO [TUSCANY]; TUSCAN ARCHIPELAGO; TUSCANY;

EID: 77954923306     PISSN: 02642069     EISSN: 17439507     Source Type: Journal    
DOI: 10.1080/02642060903580649     Document Type: Article

References (90)

1. Argote, L., & Ingram, P. (2000). Knowledge transfer: A basis for competitive advantage in firms. Organizational Behavior and Human Decision Processes, 82(1), 150-169.
2. Baggio, R. (2007). The web graph of a tourism system. Physica A, 379(2), 727-734.
3. Baggio, R. (2008). Symptoms of complexity in a tourism system. Tourism Analysis, 13(1), 1-20.
4. Baggio, R., Scott, N., & Cooper, C. (2008). A review focused on a tourism destination. Network science and socio-economic systems (Dondena Working Paper 7). 'Carlo F. Dondena' Centre for Research on Social Dynamics, Bocconi University. Retrieved October 7, 2008, from http://www.dondena.unibocconi.it/wp7
5. Bailey, N. (1975). The mathematical theory of infectious diseases and its applications (2nd ed.). London: Griffin.
6. Barthélemy, M., Barrat, A., Pastor-Satorras, R., & Vespignani, A. (2005). Dynamical patterns of epidemic outbreaks in complex heterogeneous networks. Journal of Theoretical Biology, 235(2),275-288.
7. Bernoulli, D. (1766). Essai d'une nouvelle analyse de la mortalité causée par la petite vérole et des avantage de l'inoculation pour la prévenir Mémoires de Mathématiques et de Physique, Académie Royale des Sciences, Paris, 5, 1-45.
8. Bickerdyke, I. (1996). Australia: The evolving structure and strategies of business networks. In OECD (Ed.), Networks of enterprises and local development: Competing and co-operating in local productive systems (pp. 203-216). Paris: Organisation for Economic Co-operation and Development.
9. Birk, S.M. (2005). Application of network analysis in evaluating knowledge capacity. New Directions for Evaluation, 2005(107), 69-79.
10. Boccaletti, S., Latora, V., Moreno, Y., Chavez, M., & Hwang, U. (2006). Complex networks: Structure and dynamics. Physics Reports, 424(4-5), 175-308.
11. Bollobás, B. (1998). Modern graph theory. New York: Springer.
12. Borner, K., Sanyal, S., & Vespignani, A. (2007). Network science. In B. Cronin (Ed.), Annual review of information science and technology (Vol. 41, pp. 537-607). Medford, NJ: Information Today/American Society for Information Science and Technology.
13. Bornholdt, S., & Schuster, H.G. (Eds.). (2002). Handbook of graphs and networks - from genome to the internet. Berlin, Germany: Wiley-VCH.
14. Bramwell, B., & Lane, B. (2000). Tourism collaboration and partnerships: Politics practice and sustainability. Clevedon, UK: Channel View Publications.
15. Caldarelli, G. (2007). Scale-free networks: Complex webs in nature and technology. UK: Oxford University Press.
16. Carlsen, J. (1999). A systems approach to island tourism destination management. Systems Research and Behavioral Science, 16(4), 321-327.
17. Castellano, C., Fortunato, S., & Loreto, V. (2009). Statistical physics of social dynamics. Reviews of Modern Physics, 81(2), 591-646.
18. Chen, C., & Hicks, D. (2004). Tracing knowledge diffusion. Scientometrics, 59(2), 199-211.
19. Clauset, A., Shalizi, C.R., & Newman, M.E.J. (2009). Power-law distributions in empirical data. SIAM Review, 51(4), 661-703.
20. Cohen, W., & Levinthal, D. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 35(1), 128-152.
21. Conte, R., Hegselmann, R., & Terna, P. (1997). Simulating social phenomena. Berlin, Germany: Springer-Verlag.
22. Copp, C.B., & Ivy, R. (2001). Networking trends in small tourism businesses in post-socialist Slovakia. Journal of Small Business Management, 39(4), 345-353.
23. Cross, R.L., Parker, A., & Borgatti, S.P. (2000). A bird's-eye view: Using social network analysis to improve knowledge creation and sharing. Knowledge Directions, 2(1), 48-61.
24. Cross, R.L., Borgatti, S.P., & Parker, A. (2002). Making invisible work visible: Using social network analysis to support human networks. California Management Review, 44(2), 25-46.
25. Da Costa, L.E., & Terhesiu, D. (2005). A simple model for the diffusion of ideas (Complex Systems Summer School Final Project Papers). Santa Fe, NM: Santa Fe Institute. Retrieved September 15,2006, from http://www.santafe.edu/education/csss/csss05/papers/
26. Dayasindhu, N. (2002). Embeddedness, knowledge transfer, industry clusters and global competitiveness: A case study of the Indian software industry. Technovation, 22(9), 551-560.
27. Diekmann, O., & Heesterbeek, J. (2000). Mathematical epidemiology of infectious diseases: model building, analysis and interpretation. New York: John Wiley & Sons.
28. Dorogovtsev, S.N., & Mendes, J.F.F. (2002). Evolution of networks. Advances in Physics, 51(4), 1079-1187.
29. Flake, G.W. (1998). The computational beauty of nature. Cambridge, MA: MIT Press.
30. da Fontoura Costa, L., & Baggio, R. (2009). The web of connections between tourism companies: Structure and dynamics. Physica A, 388(19), 4286-4296.
31. da Fontoura Costa, L., Oliveira, O.N., Jr., Travieso, G., Rodrigues, F.A., Villas Boas, P.R., Lucas Antiqueira, L., et al. (2008). Analyzing and modeling real-world phenomena with complex networks: a survey of applications (arXiv/0711.3199). Retrieved June 15, 2008, from http://arxiv.org/abs/0711.3199
32. da Fontoura Costa, L., Rodrigues, A., Travieso, G., & Villas Boas, P.R. (2007). Characterization of complex networks: A survey of measurements. Advances in Physics, 56(1), 167-242.
33. Freeman, R.E. (1984). Strategic management: A stakeholder approach. Boston: Pitman.
34. Freeman, L.C. (2004). The development of social network analysis: A study in the sociology of science. Vancouver, BC: Vancouver Empirical Press.
35. Gilbert, N. (1999). Simulation: A new way of doing social science. American Behavioral Scientist, 42(10),1485-1487.
36. Godsyl, C., & Royle, G. (2001). Algebraic graph theory. New York: Springer.
37. Granovetter, M. (1973). The strength of weak ties. American Journal of Sociology, 78(6), 1360-1380.
38. Granovetter, M. (1983). The strength of weak ties: A network theory revisited. In R. Collins (Ed.), Sociological theory (pp. 201-233). S. Francisco, CA: Jossey-Bass.
39. Hall, C.M. (1999). Rethinking collaboration and partnership: A public policy perspective. Journal of Sustainable Tourism, 7(3&4), 274-289.
40. Halme, M. (2001). Learning for sustainable development in tourism networks. Business Strategy and the Environment, 10(2), 100-114.
41. Hethcote, H.W. (2000). The mathematics of infectious diseases. SIAM Review, 42(4), 599-653.
42. Huberman, B.A., & Adamic, L.A. (2004). Information dynamics in a networked world. In E. Ben-Naim, H. Frauenfelder, & Z. Toroczkai (Eds.), Complex networks. Lecture Notes in Physics (Vol. 650, pp. 371-398). Berlin, Germany: Springer-Verlag.
43. Inbar, M., & Stoll, C.S. (1972). Simulation and gaming in social science. New York: Free Press.
44. Ingram, P., & Roberts, P.W. (2000). Friendships among competitors in the Sydney hotel industry. American Journal of Sociology, 106(2), 387-423.
45. Inkpen, A.C., & Tsang, E.W.K. (2005). Social capital, networks, and knowledge transfer. Academy of Management Review, 30(1), 146-165.
46. Kermack, W.O., & McKendrick, A.G. (1927). Contributions to the mathematical theory of epidemics, Part 1. Proceedings of the Royal Society of London A, 115(772), 700-721.
47. Kuperman, M., & Abramson, G. (2001). Small world effect in an epidemiological model. Physical Review Letters, 86(13), 2909-2912.
48. Kuppers, G., & Lenhard, J. (2005). Validation of simulation: Patterns in the social and natural sciences. Journal of Artificial Societies and Social Simulation, 8(4). Retrieved March 15, 2006, from http://jasss.soc.surrey.ac.uk/8/4/3.html
49. Latora, V., & Marchiori, M. (2001). Efficient behavior of small-world networks. Physical Review Letters, 87(19), 198701.
50. Law, A.M., & Kelton, W.D. (2000). Simulation modelling and analysis (3rd ed.). New York: McGraw-Hill.
51. Leiper, N. (1990). Partial industrialisation of tourism systems. Annals of Tourism Research, 17(4), 600-605.
52. Levin, D., & Cross, R. (2004). The strength of weak ties you can trust: The mediating role of trust in effective knowledge transfer. Management Science, 50(11), 1477-1490.
53. López-Pintado, D. (2004). Diffusion in complex social networks (Working Papers No. AD 2004-33). Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie). Retrieved December 15, 2005, from http://www.ivie.es/downloads/docs/wpasad/wpasad-2004-33.pdf
54. Maslov, S., & Sneppen, K. (2002). Specificity and stability in topology of protein networks. Science, 296(5569),910-913.
55. Mitchell, J.C. (1969). The concept and use of social networks. In J.C. Mitchell (Ed.), Social networks in urban situations (pp. 1-50). University of Manchester Press.
56. Olsen, W. (2004). Triangulation in social research, qualitative and quantitative methods can really be mixed. In M. Holborn (Ed.), Developments in sociology: An annual review (pp. 103-121). Ormskirk, UK: Causeway Press.
57. Otto, J.E., & Ritchie, J.R.B. (1996). The service experience in tourism. Tourism Management, 17(3), 165-174.
58. Pastor-Satorras, R., & Vespignani, A. (2001). Epidemic spreading in scalefree networks. Physical Review Letters, 86(14), 3200-3203.
59. Pastor-Satorras, R., & Vespignani, A. (2003). Epidemics and immunization in scale-free networks. In S. Bornholdt & H.G. Schuster (Eds.), Handbook of graphs and networks (pp. 111-130). Berlin, Germany: Wiley-VCH.
60. Pechlaner, H., Tallinucci, V., Abfalter, D., & Rienzner, H. (2003). Networking for small island destinations - the case of Elba. In A.J. Frew, M. Hitz, & P. O'Connor (Eds.), Information and communication technologies in tourism (pp. 105-114). Vienna, Austria: Springer.
61. Priestley, J.L., & Samaddar, S. (2007). Multi-organizational networks: Three antecedents of knowledge transfer. International Journal of Knowledge Management, 3(1), 86-99.
62. Quayle, A.P., Siddiqui, A.S., & Jones, S.J.M. (2006). Modeling network growth with assortative mixing. The European Physical Journal B, 50(4), 617-630.
63. Reagans, R., & McEvily, B. (2003). Network structure and knowledge transfer: The effects of cohesion and range. Administrative Science Quarterly, 48(2), 240-267.
64. Ritchie, J.R.B., & Crouch, G.I. (2003). The competitive destination: A sustainable tourism perspective. Oxford, UK: CABI Publishing.
65. Sautter, E.T., & Leisen, B. (1999). Managing stakeholders: A tourism planning model approach. Annals of Tourism Research, 26(2), 312-328.
66. Schmid, A. (2005). What is the truth of simulation? Journal of Artificial Societies and Social Simulation, 8(4). Retrieved June 15, 2006, from http://jasss.soc.surrey.ac.uk/8/4/5.html
67. Scott, N., Baggio, R., & Cooper, C. (2008a). Network analysis and tourism: From theory to practice. Clevedon, UK: Channel View.
68. Scott, N., Cooper, C., & Baggio, R. (2008b). Destination networks - four Australian cases. Annals of Tourism Research, 35(1), 169-188.
69. Scott, N., & Laws, E. (2004). Whale watching - the roles of small firms in the evolution of a new Australian niche market. In R. Thomas (Ed.), Small firms in tourism: International perspectives (pp. 153-166). London: Elsevier.
70. SDI. (1995). Impact analysis and stakeholder analysis. London: Department for International Development, Social Development Division.
71. Selin, S.W. (2000). Developing a typology of sustainable tourism partnerships. In B. Bramwell & B. Lane (Eds.), tourism collaboration and partnerships: Politics, practice and sustainability (pp. 129-142). Clevedon, UK: Channel View Publications.
72. Selin, S.W., & Chavez, D. (1995). Developing an evolutionary tourism partnership model. Annals of Tourism Research, 22(4), 814-856.
73. Sorenson, O., Rivkin, J., & Fleming, L. (2006). Complexity, networks and knowledge flow. Research Policy, 35(7), 994-1017.
74. Suleiman, R., Troitzsch, K.G., & Gilbert, N. (Eds.). (2000). Tools and techniques for social science simulation. Heidelberg, Germany: Physica-Verlag.
75. Tallinucci, V., & Testa, M. (2006). Marketing per le isole. Milan, Italy: Franco Angeli.
76. Tesfatsion, L., & Judd, K.L. (2006). Handbook of computational economics, Volume 2: Agent-based computational economics. Amsterdam, The Netherlands: North-Holland.
77. Tinsley, R., & Lynch, P. (2001). Small tourism business networks and destination development. Hospitality Management, 20(4), 367-378.
78. Todtling, F., Lehner, P., & Trippl, M. (2006). Innovation in knowledge intensive industries: The nature and geography of knowledge links. European Planning Studies, 14(8), 1035-1058.
79. Toroczkai, Z., & Eubank, S. (2005). Agent-based modeling as decision-making tool. The Bridge, 35(4),22-27.
80. Tyler, D., & Dinan, C. (2001). The role of interested groups in England's emerging tourism policy network. Current Issues in Tourism, 4(2-4), 210-252.
81. Uzzi, B. (1996). The sources and consequences of embeddedness for the economic performance of organizations: The network effect. American Sociological Review, 61(4), 674-698.
82. Uzzi, B., & Spiro, J. (2005). Collaboration and creativity: The small world problem. American Journal of Sociology, 111(2), 447-504.
83. Valente, T.W. (1995). Network models of the diffusion of innovations. Cresskill, NJ: Hampton Press.
84. Vega-Redondo, F. (2006). Building up social capital in a changing world. Journal of Economic Dynamics & Control, 30(11), 2305-2338.
85. Wasserman, S., & Faust, K. (1994). Social network analysis. Methods and applications. MA: Cambridge University Press.
86. Watts, D.J. (2004). The 'new' science of networks. Annual Review of Sociology, 30, 243-270.
87. Watts, D.J., & Strogatz, S.H. (1998). Collective dynamics of 'small world' networks. Nature, 393(6684),440-442.
88. Wilensky, U. (1999). Netlogo. Evanston, IL: Center for Connected Learning and Computer-Based Modeling. Northwestern University. Retrieved November 15, 2008, from http://ccl.northwestern.edu/netlogo
89. Wolfram, S. (2002). A new kind of science. Champaign, IL: Wolfram Media.
90. Xu, X.-J., Wu, Z.-X., & Chen, G. (2007). Epidemic spreading in lattice-embedded scale-free networks. Physica A, 377(1), 125-130.