IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/25302.html
   My bibliography  Save this paper

A Decision Tree Application in Tourism-based Regional Economic Development

Author

Listed:
  • Curtis, Panayiotis G.
  • Kokotos, Dimitris X.

Abstract

The reasons for the deficient performance of Ionian Islands tourism in terms of in coming revenues expressed in USD and return on equity capital invested on hotels is explored. The answers to the questioner of management of the hotels surveyed were analyzed with the use of the Decision Tree tool. The issue of competitiveness of the tourism product was assessed. The development of alternative forms of tourism is proposed as a means of improving competitiveness and restoring sustainability in the sector.

Suggested Citation

  • Curtis, Panayiotis G. & Kokotos, Dimitris X., 2008. "A Decision Tree Application in Tourism-based Regional Economic Development," MPRA Paper 25302, University Library of Munich, Germany, revised 26 May 2008.
  • Handle: RePEc:pra:mprapa:25302
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/25302/1/MPRA_paper_25302.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David J. Hand & Heikki Mannila & Padhraic Smyth, 2001. "Principles of Data Mining," MIT Press Books, The MIT Press, edition 1, volume 1, number 026208290x, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Panayiotis G. Curtis & Michael Hanias & Eleftherios Kourtis & Mixalis Kourtis, 2020. "Data Envelopment Analysis (DEA) and Financial Ratios: Α Pro-Stakeholders’ View of Performance Measurement for Sustainable Value Creation of the Wind Energy," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(2), pages 326-350.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Le, Hong Hanh & Viviani, Jean-Laurent, 2018. "Predicting bank failure: An improvement by implementing a machine-learning approach to classical financial ratios," Research in International Business and Finance, Elsevier, vol. 44(C), pages 16-25.
    2. Li, Hui & Sun, Jie, 2009. "Hybridizing principles of the Electre method with case-based reasoning for data mining: Electre-CBR-I and Electre-CBR-II," European Journal of Operational Research, Elsevier, vol. 197(1), pages 214-224, August.
    3. Min-feng Lee & Guey-shya Chen & Shao-pin Lin & Wei-jie Wang, 2022. "A Data Mining Study on House Price in Central Regions of Taiwan Using Education Categorical Data, Environmental Indicators, and House Features Data," Sustainability, MDPI, vol. 14(11), pages 1-15, May.
    4. Caruso, Germán & Scartascini, Carlos & Tommasi, Mariano, 2015. "Are we all playing the same game? The economic effects of constitutions depend on the degree of institutionalization," European Journal of Political Economy, Elsevier, vol. 38(C), pages 212-228.
    5. M. Almiñana & L. Escudero & A. Pérez-Martín & A. Rabasa & L. Santamaría, 2014. "A classification rule reduction algorithm based on significance domains," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 22(1), pages 397-418, April.
    6. Silvia Figini & Ron Kenett & SILVIA SALINI, 2010. "Integrating Operational and Financial Risk Assessments," UNIMI - Research Papers in Economics, Business, and Statistics unimi-1099, Universitá degli Studi di Milano.
    7. Onur Doğan & Hakan Aşan & Ejder Ayç, 2015. "Use Of Data Mining Techniques In Advance Decision Making Processes In A Local Firm," European Journal of Business and Economics, Central Bohemia University, vol. 10(2), pages 6821:10-682, January.
    8. Patricia E. N. Lutu & Andries P. Engelbrecht, 2013. "Base Model Combination Algorithm for Resolving Tied Predictions for K -Nearest Neighbor OVA Ensemble Models," INFORMS Journal on Computing, INFORMS, vol. 25(3), pages 517-526, August.
    9. Adrien Jamain & David Hand, 2008. "Mining Supervised Classification Performance Studies: A Meta-Analytic Investigation," Journal of Classification, Springer;The Classification Society, vol. 25(1), pages 87-112, June.
    10. Adrian Otoiu & Emilia Titan, 2014. "An Alternative Method of Component Aggregation for Computing Multidimensional Well-Being Indicators," International Journal of Economic Sciences, Prague University of Economics and Business, vol. 2014(4), pages 38-52.
    11. Wang, Wenjun & Liu, Dong & Liu, Xiao & Pan, Lin, 2013. "Fuzzy overlapping community detection based on local random walk and multidimensional scaling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(24), pages 6578-6586.
    12. Yi-Chen Chung & Hsien-Ming Chou & Chih-Neng Hung & Chihli Hung, 2021. "Using Textual and Economic Features to Predict the RMB Exchange Rate," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 11(6), pages 1-8.
    13. Chen-Yang Cheng, 2014. "Indoor localization algorithm using clustering on signal and coordination pattern," Annals of Operations Research, Springer, vol. 216(1), pages 83-99, May.
    14. Christmann, Andreas & Steinwart, Ingo & Hubert, Mia, 2006. "Robust Learning from Bites for Data Mining," Technical Reports 2006,03, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    15. Steven Buigut, 2015. "The Effect of Zimbabwe's Multi-Currency Arrangement on Bilateral Trade: Myth Versus Reality," International Journal of Economics and Financial Issues, Econjournals, vol. 5(3), pages 690-700.
    16. Romildo Brito Neto & Celso Santos & Kevin Mulligan & Lucia Barbato, 2016. "Spatial and temporal water-level variations in the Texas portion of the Ogallala Aquifer," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(1), pages 351-365, January.
    17. Arvydas Jadevicius & Simon Huston & Andrew Baum & Allan Butler, 2018. "Two centuries of farmland prices in England," Journal of Property Research, Taylor & Francis Journals, vol. 35(1), pages 72-94, January.
    18. Bőgel, György, 2011. "Az adatrobbanás mint közgazdasági jelenség [The data explosion as an economic phenomenon]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(10), pages 877-889.
    19. Stefan Cristian Gherghina, 2015. "Corporate Governance Ratings and Firm Value: Empirical Evidence from the Bucharest Stock Exchange," International Journal of Economics and Financial Issues, Econjournals, vol. 5(1), pages 97-110.
    20. Grant-Muller, Susan & Usher, Mark, 2014. "Intelligent Transport Systems: The propensity for environmental and economic benefits," Technological Forecasting and Social Change, Elsevier, vol. 82(C), pages 149-166.

    More about this item

    Keywords

    Decision trees; tourism; strategy; regional economic development;
    All these keywords.

    JEL classification:

    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • M1 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:25302. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.