Measuring customer preferences in new product development: comparing compositional and decompositional methods
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- Jonas Jasper, 2019. "A Var Analysis of the Connection between FDI and Economic Growth: A Case Study from Vietnam after 30 Years Reforms," International Journal of Innovation and Economic Development, Inovatus Services Ltd., vol. 4(6), pages 51-67, Februaury.
- R. Helm & M. Steiner & A. Scholl & L. Manthey, 2008.
"A comparative empirical study on common methods for measuring preferences,"
International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 9(3), pages 242-265.
- Roland Helm & Michael Steiner & Armin Scholl & Laura Manthey, 2004. "A Comparative Empirical Study on Common Methods for Measuring Preferences," Jenaer Schriften zur Wirtschaftswissenschaft (Expired!) 20/2004, Friedrich-Schiller-Universität Jena, Wirtschaftswissenschaftliche Fakultät.
- Maarten Ijzerman & Janine Til & John Bridges, 2012. "A Comparison of Analytic Hierarchy Process and Conjoint Analysis Methods in Assessing Treatment Alternatives for Stroke Rehabilitation," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 5(1), pages 45-56, March.
- Hafezi, Maryam & Zolfagharinia, Hossein, 2018. "Green product development and environmental performance: Investigating the role of government regulations," International Journal of Production Economics, Elsevier, vol. 204(C), pages 395-410.
- Alain De Beuckelaer & Jarl Kampen & J. Van Trijp, 2013. "An empirical assessment of the cross-national measurement validity of graded paired comparisons," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(2), pages 1063-1076, February.
- Gabriela D. Oliveira & Luis C. Dias, 2020. "The potential learning effect of a MCDA approach on consumer preferences for alternative fuel vehicles," Annals of Operations Research, Springer, vol. 293(2), pages 767-787, October.
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Keywords
customer preference measurement; conjoint analysis; CA; analytic hierarchy process; AHP; applicability; validity; paired-comparison; dominance test; new product development; NPD.;All these keywords.
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