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An Agent-Based Decision Support Model for the Development of E-Services in the Tourist Sector

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Author Info

  • Frank Bruinsma
  • Karima Kourtit
  • Peter Nijkamp

    (VU University Amsterdam)

Abstract

This paper regards cultural heritage as a strategic development tool for urban tourist policy. It highlights the use of e-services as a central instrument in a competitive tourist sector. The appropriate choice of e-services - and packages thereof - depends on the various strategic considerations of urban stakeholders (agents) and may differ for each individual city. The paper offers a systematic analysis framework for supporting these choices and deploys multi-criteria analysis as a systematic evaluation methodology, in particular the Regime method. The evaluation framework is exemplified through an application to three field cases in Europe, viz. the cities of Amsterdam, Genoa and Leipzig. Our analysis concludes that tailor-made packages of e-services that serve the needs of the stakeholders can be made with the help of our evaluation tools.

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File URL: http://www.rofea.org/index.php?journal=journal&page=article&op=download&path%5B%5D=41&path%5B%5D=45
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Bibliographic Info

Article provided by Rimini Centre for Economic Analysis in its journal Review of Economic Analysis.

Volume (Year): 2 (2010)
Issue (Month): 3 (September)
Pages: 232-255

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Handle: RePEc:ren:journl:v:2:y:2010:i:3:p:232-255

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Related research

Keywords: cultural heritage; e-services; city marketing; agent-based decision support model;

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References

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  1. Nijkamp, P. & Abreu, M., 2009. "Regional development theory," Serie Research Memoranda 0029, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
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Cited by:
  1. Karima Kourtit & Daniel Arribas-Bel & Peter Nijkamp, 2012. "High performers in complex spatial systems: a self-organizing mapping approach with reference to The Netherlands," The Annals of Regional Science, Springer, vol. 48(2), pages 501-527, April.
  2. Gromicho, J.A.S. & Hoorn, J.J. van & Timmer, G.T. & Saldanha-da-Gama, F., 2009. "Exponentially better than brute force: solving the jobshop scheduling problem optimally by dynamic programming," Serie Research Memoranda 0056, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.

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