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Methoden zur Messung von Präferenzen für Innovationen

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  • Henrik Sattler

    (Universität Hamburg)

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  • Henrik Sattler, 2006. "Methoden zur Messung von Präferenzen für Innovationen," Schmalenbach Journal of Business Research, Springer, vol. 58(54), pages 154-176, January.
    • Handle: RePEc:spr:sjobre:v:58:y:2006:i:54:d:10.1007_bf03372947
    DOI: 10.1007/BF03372947
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    References listed on IDEAS

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    2. Min Ding & Rajdeep Grewal & John Liechty, 2005. "Incentive-aligned conjoint analysis," Framed Field Experiments 00139, The Field Experiments Website.
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    5. Chakraborty, Goutam & Ball, Dwayne & Gaeth, Gary J. & Jun, Sunkyu, 2002. "The ability of ratings and choice conjoint to predict market shares: a Monte Carlo simulation," Journal of Business Research, Elsevier, vol. 55(3), pages 237-249, March.
    6. V. Srinivasan & Allan Shocker, 1973. "Linear programming techniques for multidimensional analysis of preferences," Psychometrika, Springer;The Psychometric Society, vol. 38(3), pages 337-369, September.
    7. Green, Paul E & Srinivasan, V, 1978. "Conjoint Analysis in Consumer Research: Issues and Outlook," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 5(2), pages 103-123, Se.
    8. Peter J. Lenk & Wayne S. DeSarbo & Paul E. Green & Martin R. Young, 1996. "Hierarchical Bayes Conjoint Analysis: Recovery of Partworth Heterogeneity from Reduced Experimental Designs," Marketing Science, INFORMS, vol. 15(2), pages 173-191.
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