Symptoms of complexity in a tourism system

Tourism Analysis

Volumn 13, Issue 1, 2008, Pages 1-20

  Baggio, Rodolfo ^a,b  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b BOCCONI UNIVERSITY   (Italy)

Author keywords

Chaos; Complex systems; Nonlinear analysis; Tourism destinations

Indexed keywords

EID: 67650188008     PISSN: 10835423     EISSN: 19433999     Source Type: Journal    
DOI: 10.3727/108354208784548797     Document Type: Article

References (107)

1. Agostinho, M.C.E., & Teixeira de Castro, G. (2003). Cocreating a self-organizing management system: A Brazilian experience. Paper presented at the Complexity, Ethics and Creativity Conference, London School of Economics, September 17-18. Retrieved from http:// www.psych.lse.ac.uk/complexity/Conference/Agostinho Castro.pdf
2. Albert, R., & Barabasi, A.-L. (2002). Statistical mechanics of complex networks. Review of Modern Physics, 74, 47-91.
3. Aly, H., & Strazicich, M.C. (2002). Terrorism & tourism: Is the impact permanent or transitory ? Time series evidence from some MENA countries. Economic Research Forum. Retrieved from http://www.eldis.org/go/display&id=13347&type=Document
4. Amaral, L.A.N., & Ottino, J.M. (2004). Complex networks- augmenting the framework for the study of complex systems. The European Physical Journal B, 38, 147-162.
5. Amaral, L.A.N., Scala, A., Barthelemy, M., & Stanley, H.E. (2000). Classes of small world networks. Proceedings of the National Academy of the Sciences of the USA, 97, 11149-11152.
6. Anderson, P.W. (1972). More is different. Science, 177(4047), 393-396.
7. Bankes, S.C. (1993). Exploratory modeling for policy analysis. Operations Research, 41(3), 435-449.
8. Bankes, S.C. (2002). Tools and techniques for developing policies for complex and uncertain systems. Proceedings of the National Academy of the Sciences of the USA, 99(Suppl. 3), 7263-7266.
9. Barabasi, A.-L., & Albert, R. (1999). Emergence of scaling in random networks. Science, 286, 509-512.
10. Berry, B.J.L., Kiel, L.D., & Elliott, E. (2002). Adaptive agents, intelligence, and emergent human organization: Capturing complexity through agent-based modeling. Proceedings of the National Academy of the Sciences of the USA, 99, 7187-7188.
11. Boccaletti, S., Latora, V., Moreno, Y., Chavez, M., & Hwang, D.-U. (2006). Complex networks: Structure and dynamics. Physics Reports, 424(4-5), 175-308.
12. Bonabeau, E. (2002). Agent-based modeling: Methods and techniques for simulating human systems. Proceedings of the National Academy of the Sciences of the USA, 99, 7280-7287.
13. Buchta, C, & Dolnicar, S. (2003). Learning by simulation- computer simulations for strategic management decision support in tourism. International Journal of Tourism Sciences, 3(1), 65-78.
14. Buhalis, D. (2000). Marketing the competitive destination of the future. Tourism Management, 21, 97-116.
15. Butler, R.W. (1980). The concept of a tourist area cycle of evolution: Implications for management of resources. Canadian Geographer, 24(1), 5-12.
16. Butler, R.W. (Ed.). (2005a). The tourism area life cycle, Vol. 1: Applications and modifications. Clevedon, UK: Channel View.
17. Butler, R.W. (Ed.). (2005b). The tourism area life cycle, Vol. 2: Conceptual and theoretical issues. Clevedon, UK: Channel View.
18. Caffyn, A., & Jobbins, G. (2003). Governance capacity and stakeholder interactions in the development and management of coastal tourism: Examples from Morocco and Tunisia. Journal of Sustainable Tourism, 11(2&3), 224-245.
19. Chatfield, C. (1996). The analysis of time series (5th ed.). New York: Chapman & Hall.
20. Cilliers, P. (1998). Complexity and postmodernism: Understanding complex systems. London: Routledge.
21. Dickey, D.A., & Fuller, W.A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74, 427-431.
22. Dorogovtsev, S.N., & Mendes, J.F.F. (2002). Evolution of networks. Advances in Physics, 51, 1079-1187.
23. Erdos, P., & Renyi, A. (1959). On random graphs. Publicationes Mathematicae (Debrecen), 6, 290-297.
24. Erdos, P., & Renyi, A. (1960). On the evolution of random graphs. Publications of the Mathematical Institute of the Hungarian Academy of Sciences, 5, 17-61.
25. Eugenio-Martin, J., Sinclair, M.T., & Yeoman, I. (2005). Quantifying the effects of tourism crises: An application to Scotland. Journal of Travel and Tourism Marketing, 19(2/3), 23-36.
26. Farrell, B.H., & Twining-Ward, L. (2004). Reconceptualizing tourism. Annals of Tourism Research, 31(2), 274-295.
27. Faulkner, B. (2000). The future ain't what it used to be: Coping with change, turbulence and disasters in tourism research and destination management. Professorial Lecture Series No. 6, Griffith University. Retrieved July 2006, from http://www.gu.edu.au/ins/collections/proflects/ faulkner00.pdf
28. Faulkner, B. (2002). Rejuvenating a maturing tourist destination: The case of the Gold Coast. Current Issues in Tourism, 5(6), 472-520.
29. Faulkner, B., & Russell, R. (1997). Chaos and complexity in tourism: In search of a new perspective. Pacific Tourism Review, 1, 93-102.
30. Faulkner, B., & Russell, R. (2001). Turbulence, chaos and complexity in tourism systems: A research direction for the new millennium. In B. Faulkner, G. Moscardo, & E. Laws (Eds.), Tourism in the 21st century: Lessons from experience (pp. 328-349). London: Continuum.
31. Faulkner, B., & Valerio, P. (1995). An integrative approach to tourism demand forecasting. Tourism Management, 16(1), 29-37.
32. Faulkner, B., & Vikulov, S. (2001). Katherine, washed out one day, back on track the next: A post-mortem of a tourism disaster. Tourism Management, 22(4), 331-344.
33. Ferro Luzzi, G., & Fluckiger, Y. (2003). An econometric estimation of the demand for tourism: The case of Switzerland. Pacific Economic Review, 8(3), 289-303.
34. Framke, W. (2002). The destination as a concept: A discussion of the business-related perspective versus the socio-cultural approach in tourism theory. Scandinavian Journal of Hospitality and Tourism, 2(2), 92-108.
35. Gleick, J. (1987). Chaos: Making a new science. New York: Viking.
36. Hall, C.M., & Butler, R.W. (1995). In search of common round: Reflections on sustainability: Complexity and process in the tourism system: A discussion. Journal of Sustainable Tourism, 3(2), 99-105.
37. Hall, C.M., Williams, A.M., & Lew, A.A. (2004). Tourism: Conceptualizations, institutions, and issues. In A.A. Lew, C.M. Hall, & A.M. Williams (Eds.), A companion to tourism (pp. 3-21). Oxford: Blackwell.
38. Hansell, R.I. C, Craine, I.T., & Byers, R.E. (1997). Predicting change in non-linear systems. Environmental Monitoring and Assessment, 46, 175-190.
39. Harvey, A.C. (1989). Forecasting, structural time series models and the Kalman Filter. Cambridge: Cambridge University Press.
40. Helbing, D., & Vicsek, T. (1999). Optimal self-organization. New Journal of Physics, 1, 13.11-13.17.
41. Heylighen, F. (2003). The science of self-organization and adaptivity [Electronic version]. In Knowledge management, organizational intelligence and learning, and complexity-The encyclopedia of life support systems. Oxford: EOLSS.
42. Holling, C.S. (1973). Resilience and stability of ecological systems. Annual Review of Ecology and Systematics, 4, 1-23.
43. Holling, C.S. (Ed.). (1978). Adaptive environmental assessment and management. New York: John Wiley and Sons.
44. Istituto Nazionale di Statistica. (2005). Annuario statistico Italiano. Roma: Author.
45. Kantz, H., & Schreiber, T. (1997). Nonlinear time series analysis. Cambridge: Cambridge University Press.
46. Komulainen, T. (2004, October). Self-similarity and power laws. In H. Hyötyniemi (Ed.), Complex systems- science on the edge of chaos (Report 145). Helsinki: Helsinki University of Technology, Control Engineering Laboratory.
47. Lagiewski, R.M. (2005). The application of the TALC model: A literature survey. In R.W. Butler (Ed.), The tourism area life cycle: Applications and modifications (Vol. 1, pp. 27-50). Clevedon, UK: Channel View.
48. Lee, J., & Strazicich, M.C. (2003). Minimum lagrange multiplier unit root test with two structural breaks. The Review of Economics and Statistics, 85(4), 1082-1089.
49. Lewin , R. (1999). Complexity, life on the edge of chaos (2nd ed.). Chicago: The University of Chicago Press.
50. Macy, M.W., & Wilier, R. (2002). From factors to actors: Computational sociology and agent-based modeling. Annual Review of Sociology, 28, 143-166.
51. McKercher, B. (1999). A chaos approach to tourism. Tourism Management, 20, 425-434.
52. McKercher, B. (2005). Destinations as products? A reflection on Butler's life cycle. Tourism Recreation Research, 30(3), 97-102.
53. Metes, D.V. (2005). Visual, unit root, and stationarity tests and their power and accuracy. Summer NSERC student report. Retrieved November 2005, from http://www.stat. ualberta.ca/~wiens/reprints/metes.pdf
54. Michael, E.J. (2003). Tourism micro-clusters. Tourism Economics, 9(2), 133-145.
55. Mileti, D. (1999). Disasters by design: A reassessment of natural hazards in the United States. Washington, DC: Joseph Henry Press.
56. Mitchell, M., Hraber, P.T., & Crutchfield, J.P. (1993). Revisiting the edge of chaos: Evolving cellular automata to perform computations. Complex Systems, 7, 89-139.
57. Narayan, P.K. (2005). Testing the unit root hypothesis when the alternative is a trend break stationary process: an application to tourist arrivals in Fiji. Tourism Economics, 11(3), 351-364.
58. Newman, M.E.J. (2003a). Random graphs as models of networks. In S. Bornholdt & H.G. Schuster (Eds.), Handbook of graphs and networks (pp. 35-68). Berlin: Wiley-VCH.
59. Newman, M.E.J. (2003b). The structure and function of complex networks. SIAM Review, 45, 167-256.
60. Organization of Economic Cooperation and Development (OECD). (2000). Measuring the role of tourism in OECD economies. Paris: Author.
61. Ottino, J.M. (2004). Engineering complex systems. Nature, 427, 399.
62. Paloscia, F. (1994). Storia del turismo nell'economia italiana. Rome: Petruzzi.
63. Pavard, B., & Dugdale, J. (2000). The contribution of complexity theory to the study of socio-technical cooperative systems. Presented at Third International Conference on Complex Systems, Nashua, NH, May 21-26. InterJournal of Complex Systems, art. 335. Retrieved December 2007', from www.irit.fr/COSI/summerschool/ bpcompcontrib.pdf
64. Pavlovich, K. (2003). The evolution and transformation of a tourism destination network: The Waitomo Caves, New Zealand. Tourism Management, 24(2), 203-216.
65. Pavlovich, K., & Kearins, K. (2004). Structural embeddedness and community-building through collaborative network relationships. Management, 7(3), 195-214.
66. Phillips, P.C.B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75, 335-346.
67. Prideaux, B., Laws, E., & Faulkner, B. (2003). Events in Indonesia: Exploring the limits to formal tourism trends forecasting methods in complex crisis situations. Tourism Management, 24, 475-487.
68. Prigogine, I., & Nicolis, G. (1977). Self-organization in nonequilibrium systems. New York: Wiley.
69. Procaccia, I. (1988). Complex or just complicated? Nature, 333, 498-499.
70. Recanatini, F., & Ryterman, R. (2001). Disorganization or self-organization ? The emergence of business associations in a transition economy (Policy Research Working Paper No. 2539). The World Bank.
71. Reed, M.G. (1999). Collaborative tourism planning as adaptive experiments in emergent tourism settings. Journal of Sustainable Tourism, 7(3&4), 331-355.
72. Reynolds, C. (1987). Flocks, herds, and schools: A distributed behavioral model. Computer Graphics, 21, 25-34.
73. Ritchie, J.R.B., & Crouch, G.I. (2003). The competitive destination: A sustainable tourism perspective. Oxon, UK: CABI Publishing.
74. Rosenhead, J. (1998). Complexity theory and management practice. Science as Culture. Retrieved December 2005, from http://www.human-nature.com/science-as-culture/ rosenhead.html
75. Rosenstein, M.T., Collins, J.J., & De Luca, C.J. (1993). A practical method for calculating largest Lyapunov exponents from small data sets. Physica D, 65, 117-134.
76. Russell, R. (2005). Chaos theory and its application to the tourism area life cycle model. In R.W. Butler (Ed.), The tourism area life cycle, Vol. 2: Conceptual and theoretical issues (pp. 164-180). Clevedon, UK: Channel View.
77. Russell, R. (2006). Chaos theory and managerial approaches. In D. Buhalis & C. Costa (Eds.), Tourism dynamics, challenges, and tools: Present and future issues (pp. 108-115). Oxford: Butterworth-Heinemann.
78. Russell, R., & Faulkner, B. (1998). Reliving the destination life cycle in Coolangatta: An historical perspective on the rise, decline and rejuvenation of an Australian seaside resort. In E. Laws, B. Faulkner, & G. Moscardo (Eds.), Embracing and managing change in tourism: International case studies (pp. 95-115). London: Routledge.
79. Russell, R., & Faulkner, B. (1999). Movers and shakers: Chaos makers in tourism development. Tourism Management, 20(4), 411-423.
80. Russell, R., & Faulkner, B. (2004). Entrepreneurship, chaos, and the tourism area lifecycle. Annals of Tourism Research, 31(3), 556-579.
81. Saari, D.G. (1995). Mathematical complexity of simple economics. Notices of the American Mathematical Society, 42(2), 222-230.
82. Schreiber, T. (1999). Interdisciplinary application of nonlinear time series methods. Physics Reports, 308, 1-64.
83. Scott, N., & Laws, E. (2005). Tourism crises and disasters: Enhancing understanding of system effects. Journal of Travel & Tourism Marketing, 19(2/3), 149-158.
84. Sen, A. (2003). On unit-root tests when the alternative is a trend-break stationary process. Journal of Business and Economics Statistics, 21, 174-184.
85. Smith, D.M.D., & Johnson, N.F. (2004). Evolution management in a complex adaptive system: Engineering the future (arXiv/cond-mat/0409036). Retrieved January 2006, from http://arxiv.org/abs/cond-mat/0409036.
86. Smith, S.L.J. (1988). Defining tourism: A supply-side view. Annals of Tourism Research, 15, 179-190. Song, H., & Witt, S.F. (Eds.). (2000). Tourism demand modeling and forecasting: Modern econometric approaches. Oxford: Pergamon.
87. Song, H., & Witt, S.F. (Eds.). (2000). Tourism demand modeling and forecasting: Modern econometric approaches. Oxford: Pergamon
88. Sprott, J.C. (2003). Chaos and time-series analysis. Oxford: Oxford University Press.
89. Stacey, R.D. (1993). Strategic management and organizational dynamics. London: Pitman.
90. Stacey, R.D. (1996). Complexity and creativity in organizations. San Francisco: Berrett-Koehler.
91. Takens, F. (1980). Detecting strange attractors in turbulence. In D. Rand & L.-S. Young (Eds.), Dynamical systems and turbulence-Lecture notes in mathematics (Vol. 898, pp. 366-381). Berlin: Springer.
92. Tesfatsion, L., & Judd, K.L. (2006). Handbook of computational economics, Volume 2: Agent-based computational economics. Amsterdam: North-Holland.
93. Tinsley, R., & Lynch, P. (2001). Small tourism business networks and destination development. Hospitality Management, 20(4), 367-378.
94. Toroczkai, Z., & Eubank, S. (2005). Agent-based modeling as decision-making tool. The Bridge, 35(4), 22-27.
95. Ulubasoglu, M.H., & Hazari, B.R. (2004). Zipf s law strikes again: The case of tourism. Journal of Economic Geography, 4, 459-472.
96. Waldrop, M. (1992). Complexity: The emerging science and the edge of order and chaos. London: Simon and Schuster.
97. Walker, P.A., Greiner, R., McDonald, D., & Lyne, V. (1998). The tourism futures simulator: A systems thinking approach. Environmental Modelling and Software, 14(1), 59-67.
98. Watts, D.J. (2004). The "new" science of networks. Annual Review of Sociology, 30, 243-270.
99. Watts, D.J., & Strogatz, S.H. (1998). Collective dynamics of "small world" networks. Nature, 393, 440-442.
100. Witt, S.F., & Witt, C.A. (2000). Forecasting tourism demand: A review of empirical research. In C.A. Tisdell (Ed.), The economics of tourism (Vol. 1, pp. 141-169). Cheltenham, UK: Edward Elgar Publishing, Ltd.
101. Wolf, A. (1986). Quantifying chaos with Lyapunov exponents. In A.V. Holden (Ed.), Chaos (pp. 273-290). Princeton: Princeton University Press.
102. Wolf, A., Swift, J.B., Swinney, H.L., & Vastano, J.A. (1985). Determining Lyapunov exponents from a time series. Physica D, 16, 285-317.
103. Wolfram, S. (2002). A new kind of science. Champaign, IL: Wolfram Media.
104. World Tourism Organization. (1995). Concepts, definitions, and classifications for tourism statistics (Technical manual No. 1). Madrid: Author.
105. World Tourism Organization. (2002). Tourism proves as a resilient and stable economic sector. Retrieved July 2004, from http://www.world-tourism.org/newsroom/ Releases/more_releases/june2002/data.htm
106. Zhang, L., & Levinson, D. (2004). An agent-based approach to travel demand modeling: An exploratory analysis transportation research record. Journal of the Transportation Research Board, 1898, 28-38.
107. Zivot, E., & Andrews, D.W.K. (1992). Further evidence on the great crash, the oil-price shock and the unit-root hypothesis. Journal of Business and Economic Statistics, 10(3), 251-270.