Using The Residentsâ€™ Profile As Potential Tourists In Tourist Market Segmentation: The Case Of Mures County, Romania
AbstractThis 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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle 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)
Contact details of provider:
residents' profile as potential tourists; segmentation; cluster analysis; vacation planning;
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.:
- George Athanasopoulos & Rob J. Hyndman, 2006. "Modelling and forecasting Australian domestic tourism," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics 19/06, Monash University, Department of Econometrics and Business Statistics.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Maria Oroian).
If references are entirely missing, you can add them using this form.