Tourist Destination Assessment by Revised Importance-Performance Analysis
The goal of this research is to improve the Importance-Performance Matrix by more accurately fitting the attributes of quality into matrix quadrants. The working methodology implied the use of the mathematical apparatus, respectively of five validated mathematical indexes (Dunn validity index, Silhouette validity index, validity index Calinski-Harabasz, Pakhira-Bandyopadhyay-Maulik validity index and Davies-Bouldin validity index). It will consider the position of an attribute in a quadrant validated if it resulted in all five index-generated situations. It was tested the method for the data collected from the customers accommodated in the International Hotel in Băile Felix Spa, Romania. The result shows that the number of attributes that retain their quadrant position in all situations is greatly reduced, but the certainty about the position of the attributes is greatly increased. This method increases the rigor of IPA and helps managers in their decision-making about quality of services.
KeywordsImportance-Performance Analysis Critics Validation index Method Touristic destinations Romania
The funding organization is Executive Agency for Higher Education, Research, Development and Innovation Funding, Researcher mobility projects, PN-III-P1-1.1-MC2017-1193, Project Director Olimpia I. Ban.
- Abalo, J., Varela, J., & Rial, A. (2006). El análisis de Importancia—Valoración aplicado a la gestión de servicios. [The analysis of Importance-Valuation applied to the management of services]. Psichotema, 18(4), 730–737.Google Scholar
- Albrecht, K., & Bradford, L. J. (1990). The service advantage: How to identify and fulfil customer needs. Homewood, IL: Dow Jones-Irwin.Google Scholar
- Ban, O. (2012). The construction of importance-performance grid in tourist services research without the direct determination of the attributes importance. The Annals of The University of Oradea, 1(1), 474–480. ISSN 1582-5450, Economic Series.Google Scholar
- Ban, O., & Bogdan, V. (2013). Using partial correlation coefficient to assess the importance of quality attributes: Study case for tourism romanian consumers. International Journal of Social Science and Humanity, 1(1), 21–24.Google Scholar
- Ban, A. I., Ban, O. I., & Tușe, D. (2016). Calculation of the fuzzy importance of attributes based on the correlation coefficient, applied to the quality of hotel services. Journal of Intelligent and Fuzzy Systems, 1, 583–596.Google Scholar
- Bush, R. P., & Ortinau, D. J. (1986). Discriminating first time and repeat patrons of a retail service hotel complex: A case study. In R. L. King (Ed.), Marketing in an environment of change. Southern Marketing Association Proceedings (pp 281–285).Google Scholar
- Hawes, J. M., & Rao, C. P. (1985). Using importance–performace analysis to develop health care marketing strategies. Journal of Health Care Marketing, 5(4), 19–25.Google Scholar
- Huang, Y. C., Wu, C. H., & Hsu, C. J. (2006). Using importance-performance analysis in evaluating Taiwan medium and long distance national highway passenger transportation service quality. Journal of American Academy of Business, 8, 98–104.Google Scholar
- Kano, N., Seraku, N., Takahashi, F., & Tsuji, S. (1984). Attractive Quality and Must-Be Quality. Journal of the Japanese Society for Quality Control, 41, 39–48.Google Scholar
- Lin, C. H. N., Tsai, L. F., Su, W. J., & Shaw, J. C. (2005, May). Using the Kano two-dimensional model to evaluate service quality of resort hotels. IJCSNS International Journal of Computer and Network Security, 11(5), 84–87.Google Scholar
- Pike, S. (2002). The use of importance-performance analysis to identify determinant short-break destination attributes in New Zealand. Pacific Tourism Review, 6(1), 23–33.Google Scholar
- Turism Felix S.A., (2013). Hotel International. Accessed October 2, 2016, from http://www.felixspa.com/ro/hoteluri/hotel-international.