How to cite this paper
Hondori, B., Javanshir, H & Rabani, Y. (2013). Customer preferences using conjoint analysis: A case study of Auto industry.Management Science Letters , 3(10), 2577-2580.
Refrences
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Green, P.E., & Snnivasan, V. (1990). Conjoint analysis in marketing: New developments with implications for research and practice. Journal of Marketing, 54, 3-19.
Halme, M., & Kallio, M. (2011). Estimation methods for choice-based conjoint analysis of consumer preferences. European Journal of Operational Research, 214, 160-167.
Moskowitz, H.R., & Silcher, M. (2006). The applications of conjoint analysis and their possible uses in Sensometrics. Food Quality and Preference, 17, 145–165.
Noguchi, H., & Ishii, H. (2000). Methods for determining the statistical part worth value of factors in conjoint analysis. Mathematical and Computer Modelling, 31, 261-271.
Yoo, D.I., & Ohta, H. (1994). Optimal product-planning for new multiattribute products based on conjoint analysis. Computers & Industrial Engineering, 27(1-4), 11-14.
S?enz-Navajas, M.P., Campo, E., Sutan, A., Ballester, J., & Valentin, J. (2013). Perception of wine quality according to extrinsic cues: The case of Burgundy wine consumers. Food Quality and Preference, 27, 44-53.
Tempesta, T., Giancristofaro, R. A., Corain, L., Salmaso, L., Tomasi, D., & Boatto, V. (2010). The importance of landscape in wine quality perception: An integrated approach using choice-based conjoint analysis and combination-based permutation tests. Food Quality and Preference, 21(7), 827–836.
Wellman, G. S., & Vidican, C. (2008). Pilot study of a hierarchical Bayes method for utility estimation in a choice-based conjoint analysis of prescription benefit plans including medication therapy management services. Research in Social and Administrative Pharmacy, 4(3), 218-230.
Green, P.E., & Snnivasan, V. (1990). Conjoint analysis in marketing: New developments with implications for research and practice. Journal of Marketing, 54, 3-19.
Halme, M., & Kallio, M. (2011). Estimation methods for choice-based conjoint analysis of consumer preferences. European Journal of Operational Research, 214, 160-167.
Moskowitz, H.R., & Silcher, M. (2006). The applications of conjoint analysis and their possible uses in Sensometrics. Food Quality and Preference, 17, 145–165.
Noguchi, H., & Ishii, H. (2000). Methods for determining the statistical part worth value of factors in conjoint analysis. Mathematical and Computer Modelling, 31, 261-271.
Yoo, D.I., & Ohta, H. (1994). Optimal product-planning for new multiattribute products based on conjoint analysis. Computers & Industrial Engineering, 27(1-4), 11-14.
S?enz-Navajas, M.P., Campo, E., Sutan, A., Ballester, J., & Valentin, J. (2013). Perception of wine quality according to extrinsic cues: The case of Burgundy wine consumers. Food Quality and Preference, 27, 44-53.
Tempesta, T., Giancristofaro, R. A., Corain, L., Salmaso, L., Tomasi, D., & Boatto, V. (2010). The importance of landscape in wine quality perception: An integrated approach using choice-based conjoint analysis and combination-based permutation tests. Food Quality and Preference, 21(7), 827–836.
Wellman, G. S., & Vidican, C. (2008). Pilot study of a hierarchical Bayes method for utility estimation in a choice-based conjoint analysis of prescription benefit plans including medication therapy management services. Research in Social and Administrative Pharmacy, 4(3), 218-230.