Post Hoc Tourist Segmentation with Conjoint and Cluster Analysis
DOI:
https://doi.org/10.25145/j.pasos.2009.07.035Keywords:
Market Segmentation, Conjoint Analysis, Clusters Analysis, Tourist PreferencesAbstract
In the present work, the authors want to illustrate the advantages of the combined use of the Conjoint Analysis and the Cluster Analysis in market segmentation. The benefits are easily understand- able since the Conjoint Analysis allows researchers to know the structure of the consumer’s preferences and the Cluster Analysis allows grouping those consumers by their preferences. So, with the enormous diversification that characterizes tourism, it doesn’t make sense segmenting market with a priori proce- dures. It’s preferable to carry out a post hoc segmentation in order to know more detailed and relevant information like tourists preferences (estimated with the Conjoint Analysis). This procedure creates a competitive advantage. Hence, segmenting markets based on the preferences of consumers allows re- searchers and professionals to better evaluate which the real preferences are (by clusters) and to better develop marketing strategies that better suit the consumers’ preferences.
Downloads
References
Baloglu, S. & McCleary, K.W. 1999 “A model of destination image forma- tion”, Annals of Tourism Research, 35 (4): 11-15.
Braña, T., Rial, A. & Varela, J. 2001 “Consumer preferences and brand equity measurement of Spanish national daily newspapers: a conjoint analysis approach”, Spanish Journal of Psychology, 4: 48-54.
Fishbein, M. & Ajzen, I. 1975 Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Reading, MA: Addison- Wesley.
Luce, R.D. y Tukey, J.W. 1964 “Simultaneous Conjoint measurement: A new type of fundamental meas- urement”, Journal of Mathematical Psychology, 1: 1-27.
Gallarza, M., Gil, I. & Calderón, H. 2002 “Destination image. Towards a conceptual framework”, Annals of Tourism Research, 29 (1): 56-78.
Goodrich, J. 1978 “The relationship between preferences for and perceptions of vacation destinations – Application of a Choice Model”, Journal of Travel Research, 176.
Green, P. E., Carroll, J. D. e Carmone, F. J. 1977 “Design considerations in attitude measurement” in Y. Wind e M. G. Greenberg (eds.), Moving a head with attitude research (9-18) Chicago, Illi- nois: EUA, American Marketing Association.
Muller, T.E. 1995 “How personal values govern the postvisit attitudes of international tourists”, Journal of Hospitality and Leisure Mar- keting, 3 (2): 3-24.
Picón, E. 2004 “Una comparación Monte Carlo de tres métodos métricos de segmentación con análisis conjunto”, Psicológica, 25: 231-252.
Picón, E., Braña, T. e Varela, J. 2002 “Quién prefiere un destino como Gali- cia antes de otro de sol y playa? Predic- ción de la elección de un destino turísti- co mediante análisis conjunto”, Metodo- logía de las Ciencias del Comportamien- to, Vol. Especial: 445-448.
Picón, E. & Varela, J. 2000 “Segmentando mercados con análisis conjunto. Una aplicación al sector turís- tico”. Psicothema, 12 (2): 453-458.
Picón, E. & Varela, J. 2004 “Una evaluación empírica del proce- dimiento de segmentación conjunto de clases latentes”. Metodología de las Ciencias del Comportamiento, vol. Espe- cial: 491-498.
Picón, E., Varela, J. & Braña, T. 2006 Análisis Conjunto. Madrid: La Muralla.
Picón, E., Varela, J. e Lévy, J.P. 2004 Segmentación de mercados, Madrid: Prentice Hall-Financial Times.
Ramírez, J.M. 2008 “Uso comercial del análisis conjunto en España”, Metodología de Encuestas, 10: 27-38.
Rial, A., Varela, J. & García. A. 2008 “Una aplicación metodológica para el estudio de la imagen de marca de un destino turístico”, Pasos, Revista de Turismo y Patrimonio Cultural, 6 (1): 1-10.
Rodríguez, P. & Molina, O.2007 “La segmentación de la demanda turística española”, Metodología de En- cuestas, 9: 57-92.
Santesmases, M. 1999 “Segmentación del Mercado”, in M. Santesmases (ed.), Marketing, conceptos y estrategias (212-247). Madrid: Pirámide.
UNWTO 2008 Tourism 2020 Vision forecasts. World Tourism Organization. Varela, J. & Braña, T. 1996 Análisis Conjunto aplicado a la investigación comercial. Madrid: Eudema. Varela, J., Picón, E. & Braña, T. 2004 “Segmentation of the Spanish domes- tic tourism market”, Psicothema, 16: 76- 83.
Varela, J., Rial, A. y García, A. 2003 “Análisis Conjunto” in J.P. Lévy y J.
Varela (coord.). Análisis Multivariante para las Ciencias Sociales (507-566). Madrid: Prentice Hall.
Wilkie, W. & Pessemier, E. 1973 “Issues in marketing’s use of multi- attribute attitude models”, Journal of Marketing Research, 10: 428-441.
Wind, Y. 1978 “Issues and advances in segmentation Research”, Journal of Marketing Re- search, 15: 317-337.
Wittink, D.R. & Cattin, P. 1989 “Commercial use of Conjoint Analysis: An Update”, Journal of Marketing, 53: 91-96.
Wittink, D.R., Vriens, M. & Burhenne, W. 1994 “Commercial use of Conjoint Analysis in Europe: Results and critical reflections”, International Journal of Re- search in Marketing, 11: 41-52.
Downloads
Published
How to Cite
Issue
Section
License
I confirm that the work is original (of my/our authorship), and that it will not be submitted to other journals or publications until the final resolution of the review process in PASOS, RTPC.
I authorize the publication of my work by PASOS, PSTN of free and open access in any of the formats that I deem appropriate, for an indefinite period of time and as a non-remunerated collaboration.
Likewise, the author(s) understands that the published work may be linked or deposited on any server or included in other publications (republication), provided that the new place and/or new edition references the original publication and acknowledges the authorship and copyright ownership of PASOS RTPC publications.
Authors understand that a plagiarism-self-plagiarism check will be performed, and the article may be removed at any time from the editorial flow.