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Using The Residents’ Profile As Potential Tourists In Tourist Market Segmentation: The Case Of Mures County, Romania

Listed author(s):
  • OROIAN, Maria

    (Dimitrie Cantemir University, Bodoni Sandor 3-5, Tîrgu Mure?, Mure?, România,)

  • RATIU, Ramona-Flavia

    (Dimitrie Cantemir University, Bodoni Sandor 3-5, Tîrgu Mures, Mures, România)

  • GHERES, Marinela

    (Babes-Bolyai University, Teodor Mihali 58-60, Cluj-Napoca, Romania)

Registered author(s):

    This paper has attempted to investigate and provide an overview of the residents' profile as potential tourists in Mure? County, Romania, to serve as a base for travel agencies offers, according to residents' motivation, planning holiday preferences and their perception of some important factors for their tourist experience. There was also considered the possibility of statistical market segmentation based on tourist behavior measured in the survey, using as predictors the frequency of tourist traveling, the distance, the money spent daily per person and the favorite destinations. In order to gather this information a self-completion questionnaire was given to 420 persons, with a 97.1% response rate. Applying a two-step cluster analysis, we found four segments namely: ordinary tourists, average tourists, idle tourists and frequent tourists, each cluster being analyzed in terms of the questionnaire variables. The findings could assist travel agencies in developing the tourist destinations based on underlying planning holiday issues and the profile of the clusters. Also some policy recommendations are given to the travel agencies managers in order to appropriately develop of their business and to attract more costumers from Mures County residents.

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    Article provided by Dimitrie Cantemir University, Faculty of Economical Science in its journal Academica Science Journal - Economica Series.

    Volume (Year): 1 (2013)
    Issue (Month): 2 (May)
    Pages: 21-34

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    Handle: RePEc:tig:journl:v:1:y:2013:i:2:p:21-34
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    1. George Athanasopoulos & Rob J. Hyndman, 2006. "Modelling and forecasting Australian domestic tourism," Monash Econometrics and Business Statistics Working Papers 19/06, Monash University, Department of Econometrics and Business Statistics.
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