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Kundenbindung im Electronic Commerce Eine empirische Analyse zur Wahrnehmung und Wirkung verschiedener Kundenbindungsinstrumente im Internet

Author

Listed:
  • Eva Blömeke

    (Universität Hamburg)

  • Michel Clement

    (Universität Hamburg)

  • Edlira Shehu

    (Universität Hamburg)

  • Eva Pagendarm

    (Universität Hamburg)

Abstract

Zusammenfassung Online-Marketing-Managern steht eine große Bandbreite an innovativen Kundenbindungsinstrumenten zur Verfügung, deren Wirkungsstärke unklar ist. Dieser Aufsatz fokussiert auf die Analyse der Treiber der Kundenbindung im Internet und untersucht sieben übergeordnete Instrumentgruppen: Individualisierung, Information, Integration, Interaktion, Convenience, Community und Anreizsysteme. Durch die formative Messung im Rahmen eines PLS-Modells können konkrete Managementaussagen bezüglich der relativen Wirkungsstärke einzelner Instrumente abgeleitet werden. Zusätzlich werden die Erfolgsfaktoren auf Shop-Ebene betrachtet, um Managementimplikationen für spezifische Geschäftsmodelle herleiten zu können. Die Ergebnisse zeigen, dass die Gestaltung der Webseite bezüglich Benutzerfreundlichkeit und Informationsgehalt sowie die Angebots-Individualisierung und Fokussierung der Interaktion maßgebliche Treiber für die Kundenbindung im Internet sind. Zusätzlich sind Community-Aspekte in bestimmten Bereichen von Relevanz.

Suggested Citation

  • Eva Blömeke & Michel Clement & Edlira Shehu & Eva Pagendarm, 2013. "Kundenbindung im Electronic Commerce Eine empirische Analyse zur Wahrnehmung und Wirkung verschiedener Kundenbindungsinstrumente im Internet," Schmalenbach Journal of Business Research, Springer, vol. 65(1), pages 63-96, February.
    • Handle: RePEc:spr:sjobre:v:65:y:2013:i:1:d:10.1007_bf03373710
    DOI: 10.1007/BF03373710
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    References listed on IDEAS

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    1. Eric J. Johnson & Wendy W. Moe & Peter S. Fader & Steven Bellman & Gerald L. Lohse, 2004. "On the Depth and Dynamics of Online Search Behavior," Management Science, INFORMS, vol. 50(3), pages 299-308, March.
    2. Carsten Hahn & Michael D. Johnson & Andreas Herrmann & Frank Huber, 2002. "Capturing Customer Heterogeneity Using A Finite Mixture Pls Approach," Schmalenbach Business Review (sbr), LMU Munich School of Management, vol. 54(3), pages 243-269, July.
    3. Eugene W. Anderson & Mary W. Sullivan, 1993. "The Antecedents and Consequences of Customer Satisfaction for Firms," Marketing Science, INFORMS, vol. 12(2), pages 125-143.
    4. Elisabeth Deutskens & Ko de Ruyter & Martin Wetzels & Paul Oosterveld, 2004. "Response Rate and Response Quality of Internet-Based Surveys: An Experimental Study," Marketing Letters, Springer, vol. 15(1), pages 21-36, February.
    5. Smith, Clifford Jr., 1986. "Investment banking and the capital acquisition process," Journal of Financial Economics, Elsevier, vol. 15(1-2), pages 3-29.
    6. Jarvis, Cheryl Burke & MacKenzie, Scott B & Podsakoff, Philip M, 2003. "A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(2), pages 199-218, September.
    7. Caruana, Albert & Ewing, Michael T., 2010. "How corporate reputation, quality, and value influence online loyalty," Journal of Business Research, Elsevier, vol. 63(9-10), pages 1103-1110, September.
    8. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    9. Wynne W. Chin & Barbara L. Marcolin & Peter R. Newsted, 2003. "A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study," Information Systems Research, INFORMS, vol. 14(2), pages 189-217, June.
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    More about this item

    Keywords

    M31; L81;

    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce

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