An Agent-Based Decision Support Model For The Development Of E-Services In The Tourist Sector
AbstractThis 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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Bibliographic InfoPaper provided by The Rimini Centre for Economic Analysis in its series Working Paper Series with number 06_09.
Date of creation: Jan 2009
Date of revision: Jan 2009
Other versions of this item:
- Frank Bruinsma & Karima Kourtit & Peter Nijkamp, 2010. "An Agent-Based Decision Support Model for the Development of E-Services in the Tourist Sector," Review of Economic Analysis, Rimini Centre for Economic Analysis, vol. 2(3), pages 232-255, September.
- Bruinsma, F. & Kourtit, K. & Nijkamp, P., 2009. "An agent-based decision support model for the development of e-services in the tourist sector," Serie Research Memoranda 0032, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Nijkamp, P. & Abreu, M., 2009. "Regional development theory," Serie Research Memoranda 0029, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
- 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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