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Akzeptanz von Self-Service-Technologien: State of the Art

Author

Listed:
  • Kerstin Pezoldt

    (Technische Universität Ilmenau)

  • Jana Schliewe

    (Technische Universität Ilmenau)

Abstract

Zusammenfassung In den letzten Jahren hat sich die Forschung verstärkt mit Fragen der Akzeptanz von Self-Service-Technologien im Dienstleistungsbereich beschäftigt. Der vorliegende Beitrag präsentiert den Status quo der theoretischen und empirischen Forschung. Auf Basis des Innovations-Entscheidungs-Prozesses nach Rogers und des Technologie- Akzeptanz-Models nach Davis werden die Merkmale von Self-Service-Technologien und ihrer potenziellen Nutzer herausgearbeitet, die für den erfolgreichen Einsatz entscheidend sind. Eine Synopse aus 65 großzahligen empirischen und theoretischen Studien zeigt konsistente Befunde für einen Großteil dieser Merkmale. Bestehende Forschungslücken werden aufgezeigt und Anregungen für zukünftige Forschung und Praxis geliefert.

Suggested Citation

  • Kerstin Pezoldt & Jana Schliewe, 2012. "Akzeptanz von Self-Service-Technologien: State of the Art," Schmalenbach Journal of Business Research, Springer, vol. 64(2), pages 205-253, March.
    • Handle: RePEc:spr:sjobre:v:64:y:2012:i:2:d:10.1007_bf03372866
    DOI: 10.1007/BF03372866
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    References listed on IDEAS

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    1. Mick, David Glen & Fournier, Susan, 1998. "Paradoxes of Technology: Consumer Cognizance, Emotions, and Coping Strategies," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 25(2), pages 123-143, September.
    2. Prem Shamdasani & Avinandan Mukherjee & Neeru Malhotra, 2008. "Antecedents and consequences of service quality in consumer evaluation of self-service internet technologies," The Service Industries Journal, Taylor & Francis Journals, vol. 28(1), pages 117-138, January.
    3. Igbaria, M. & Iivari, J., 1995. "The effects of self-efficacy on computer usage," Omega, Elsevier, vol. 23(6), pages 587-605, December.
    4. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    5. Meuter, Matthew L. & Ostrom, Amy L. & Bitner, Mary Jo & Roundtree, Robert, 2003. "The influence of technology anxiety on consumer use and experiences with self-service technologies," Journal of Business Research, Elsevier, vol. 56(11), pages 899-906, November.
    6. Ha, Sejin & Stoel, Leslie, 2009. "Consumer e-shopping acceptance: Antecedents in a technology acceptance model," Journal of Business Research, Elsevier, vol. 62(5), pages 565-571, May.
    7. Katja Gelbrich, 2009. "Beyond Just Being Dissatisfied: How Angry and Helpless Customers React to Failures When Using Self-Service Technologies," Schmalenbach Business Review (sbr), LMU Munich School of Management, vol. 61(1), pages 40-59, January.
    8. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    9. Porter, Constance Elise & Donthu, Naveen, 2006. "Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics," Journal of Business Research, Elsevier, vol. 59(9), pages 999-1007, September.
    10. Hsiuju Rebecca Yen, 2005. "An attribute-based model of quality satisfaction for Internet self-service technology," The Service Industries Journal, Taylor & Francis Journals, vol. 25(5), pages 641-659, July.
    11. Ritu Agarwal & V. Sambamurthy & Ralph M. Stair, 2000. "Research Report: The Evolving Relationship Between General and Specific Computer Self-Efficacy—An Empirical Assessment," Information Systems Research, INFORMS, vol. 11(4), pages 418-430, December.
    12. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
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