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Schnelle und einfache Messung von Bedeutungsgewichten mit der Restricted-Click-Stream Analyse: Ein Vergleich mit etablierten Präferenzmessmethoden

Author

Listed:
  • Christian Schlereth

    (WHU - Otto Beisheim School of Management)

  • Fabian Schulz

    (Goethe-Universität Frankfurt)

Abstract

Zusammenfassung Zur Messung von Bedeutungsgewichten nutzen Marktforscher etablierte Präferenzmessmethoden wie die Choice-Based Conjoint Analyse. Parallel hierzu nutzen Verhaltensforscher eigene Methoden zur Aufzeichnung des Informationssuchprozesses. Ziel dieses Beitrages ist, zu zeigen, dass die Beobachtung der Aufmerksamkeit, welche Konsumenten den Produkteigenschaften in solchen Experimenten widmen, bereits zur Bestimmung von Bedeutungsgewichten ausreicht. Hierzu wird eine neue, leicht einzusetzende Methode entwickelt, die Restricted-Click-Stream Analyse, und in einer empirischen Studie mit etablierten Präferenzmessmethoden verglichen. Die Ergebnisse zeigen, dass die Restricted-Click-Stream Analyse eine ähnliche Validität aufweist, zugleich aber die kognitive und emotionale Belastung der Probanden geringer ist als bei etablierten Methoden. Daher bietet die Restricted-Click-Stream Analyse für Anwender dann eine praktikable Alternative, wenn Erkenntnisse zu Bedeutungsgewichte in einer möglichst kurzen Befragung gewonnen werden sollen.

Suggested Citation

  • Christian Schlereth & Fabian Schulz, 2014. "Schnelle und einfache Messung von Bedeutungsgewichten mit der Restricted-Click-Stream Analyse: Ein Vergleich mit etablierten Präferenzmessmethoden," Schmalenbach Journal of Business Research, Springer, vol. 66(8), pages 630-657, December.
    • Handle: RePEc:spr:sjobre:v:66:y:2014:i:8:d:10.1007_bf03372910
    DOI: 10.1007/BF03372910
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    References listed on IDEAS

    as
    1. Louviere, Jordan J. & Islam, Towhidul, 2008. "A comparison of importance weights and willingness-to-pay measures derived from choice-based conjoint, constant sum scales and best-worst scaling," Journal of Business Research, Elsevier, vol. 61(9), pages 903-911, September.
    2. Mitchell, Deborah J & Kahn, Barbara E & Knasko, Susan C, 1995. "There's Something in the Air: Effects of Congruent or Incongruent Ambient Odor on Consumer Decision Making," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 22(2), pages 229-238, September.
    3. Xavier Gabaix & David Laibson & Guillermo Moloche & Stephen Weinberg, 2006. "Costly Information Acquisition: Experimental Analysis of a Boundedly Rational Model," American Economic Review, American Economic Association, vol. 96(4), pages 1043-1068, September.
    4. Ofer Mintz & Imran S. Currim & Ivan Jeliazkov, 2013. "Information Processing Pattern and Propensity to Buy: An Investigation of Online Point-of-Purchase Behavior," Marketing Science, INFORMS, vol. 32(5), pages 716-732, September.
    5. Ross, William T, Jr & Creyer, Elizabeth H, 1992. "Making Inferences about Missing Information: The Effects of Existing Information," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 19(1), pages 14-25, June.
    6. Bettman, James R & John, Deborah Roedder & Scott, Carol A, 1986. "Covariation Assessment by Consumers," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(3), pages 316-326, December.
    7. Christian Brzinsky-Fay & Ulrich Kohler & Magdalena Luniak, 2006. "Sequence analysis with Stata," Stata Journal, StataCorp LP, vol. 6(4), pages 435-460, December.
    8. Qing Liu & Neeraj Arora, 2011. "Efficient Choice Designs for a Consider-Then-Choose Model," Marketing Science, INFORMS, vol. 30(2), pages 321-338, 03-04.
    9. Christian Schlereth & Christine Eckert & Bernd Skiera, 2012. "Using discrete choice experiments to estimate willingness-to-pay intervals," Marketing Letters, Springer, vol. 23(3), pages 761-776, September.
    10. Chris Janiszewski & Andrew Kuo & Nader T. Tavassoli, 2013. "The Influence of Selective Attention and Inattention to Products on Subsequent Choice," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 39(6), pages 1258-1274.
    11. Dhar, Ravi & Nowlis, Stephen M & Sherman, Steven J, 1999. "Comparison Effects on Preference Construction," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 26(3), pages 293-306, December.
    12. repec:cup:judgdm:v:3:y:2008:i:8:p:641-658 is not listed on IDEAS
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    Keywords

    M31; C81; C83;
    All these keywords.

    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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