Advertisement

Tourist Satisfaction Based Multilevel Intelligent Decision Support System

  • Bozidar Klicek
Conference paper

Abstract

In the coming years the quantity of information will grow exponentially, creating real labyrinths where tourists and tourist professionals will have to solve complex problems quickly. In the most far-sighted visions intelligent systems will have an important role [4, 18]. They will be imperatively used as research tools in tourism, but also as integrators of existing technologies and performers of such tasks that until now have only been executed by people. The article illustrates some achievements in the application of intelligent systems in tourism obtained with the project “Intelligent decision support systems in management of complex systems”. The aim of the project is to research and create the methodology of developing the second generation of intelligent systems [9, 10]. Next, second generation of intelligent systems, according to F. Hayes-Roth, should overcome the limitations of today’s intelligent systems, introducing some new characteristics: “context reusable building blocks, reusable knowledge, high value component functions, composite architecture for multi-task systems, architecture for semantic interoperability, and a small number of domains, which should be attacked persistently [2]”.

Keywords

Intelligent System Multimedia Presentation Intelligent Model Semantic Interoperability Tourism Management 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    URL:http://www.attar.comGoogle Scholar
  2. 2.
    Blanchard, D.: Al looks to the future: AAAI’ 96, Portland, 4-8 August 1996. Expert Systems, 13(4), 306–308 (1996).MathSciNetCrossRefGoogle Scholar
  3. 3.
    Chadee, D. D., Mattsson J.: An empirical assessment of customer satisfaction in tourism. Service Industries Journal, 16(3), 305–320 (1996).CrossRefGoogle Scholar
  4. 4.
    Doyle, J., Dean, T.: Strategic Directions in Artificial Intelligence. AI Magazine, 18(1), 87–101 (1997).Google Scholar
  5. 5.
    Fayyad, U.M., Piatetsky-Shapiro, G., Smyth, P., Uthurusamy, R.: Advances in Knowledge Discovery and Data Mining. MIT Press (1996).Google Scholar
  6. 6.
    Gnoth, J.: Tourism and motivation and expectation formation. Annals of Tourism Research, 24 (2), 283–304 (1997).CrossRefGoogle Scholar
  7. 7.
    Hurley, S., Moutinho, L., Witt, S. F.: Genetic algorithms for tourism marketing. Annals of Tourism Research, 25 (2), 498–514 (1990).CrossRefGoogle Scholar
  8. 8.
    Klenosky, D.B., Gitelson, R. E.: Travel agents destination recommendations. Annals of Tourism Research, 25(3), 661–674 (1990).CrossRefGoogle Scholar
  9. 9.
    Klicek, B.: “Intelligent System Models and Procedures for Personalised Multimedia Presentation ”. Media Reasearch, 4 (2), 173–198 (in Croatian) (1999).Google Scholar
  10. 10.
    Klicek, B.; Vidovic, S.: “Complex intelligent systems: Case study of intelligent tourist agency”. In: Buhalis D. et al. Information and Communication Technologies in Tourism. Springer, Wien, New York (1990).Google Scholar
  11. 11.
    Krulwich, B.: Lifestyle Finder. AI Magazine, 18(2), 37–46 (1997).Google Scholar
  12. 12.
    Lamb, C., Hair, J., McDaniel, C.: Marketing. South-Western College Publishing, Cincinnati (1990).Google Scholar
  13. 13.
    Law, R., Au, N.: A neural network model to forecast Japanese demand for travel to Hong Kong. Tourism Management, 20(1), 89–97 (1999).CrossRefGoogle Scholar
  14. 14.
    Lee, S.-K., Lee, J.-K.: Expert Systems for Marketing. From Decision Aid to Interactive Marketing. In: Liebowitz, J. (ed.).: The Handbook of Applied Expert Systems. CRC Press, pp. 29.1-29.15 (1990).Google Scholar
  15. 15.
    Lounsbury, J.W., Polik, J. R.: Leisure Needs and Vacation Satisfaction. Leisure Sciences, 14(2),105–119 (1992).CrossRefGoogle Scholar
  16. 16.
    Otto, J. E., Ritchie, J. R. B.: The service experience in tourism. Tourism Management, 17(3),165–174 (1996).CrossRefGoogle Scholar
  17. 17.
    Weber S., Mikacic, V., Radnie, A.., Vrdoljak-Salamon, B.: Attitudes and Consumption of Tourists in Croatia TOMAS’ 94. Institute for Tourism, Zagreb (in Croatian) (1994).Google Scholar
  18. 18.
    Weid, D. S...., (ed.): The Role of Intelligent Systems in the National Information Infrastructure. AI Magazine, 16(3): 45–64 (1995)Google Scholar

Copyright information

© Springer-Verlag Wien 2000

Authors and Affiliations

  • Bozidar Klicek
    • 1
  1. 1.Faculty of Organization and InformaticsUniversity of ZagrebVarazdinCroatia

Personalised recommendations