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A Contextualized Acceptance Model for Proactive Smart Services

Author

Listed:
  • Valerie Graf-Drasch

    (University of Hohenheim)

  • Maximilian Röglinger

    (University of Bayreuth)

  • Annette Wenninger

    (University of Bayreuth)

  • Sabiölla Hosseini

    (Research Center Finance & Information Management)

Abstract

Thanks to digital technologies, information about customer needs and contexts is becoming accessible ever more easily and service providers are more closely connected to customers. This development enables services to act on behalf of customers and to proactively initiate the customer interactions. Such services are so-called proactive smart services (PASS) and are a subgroup of smart services. Research suggests that service providers often face the challenge to gain customers’ acceptance of innovative services. In response to this call for action and the change in customer interaction, which can have far-reaching consequences in the lives of customers, we examined the antecedents that explain customers’ acceptance of PASS using a contextualized approach. Hence, we identified PASS-specific antecedents, developed a contextualized acceptance model (UTAUT2-PASS) while drawing from general acceptance theory, and validated it empirically. A comparison of our contextualized model with UTAUT2 as an established yet uncontextualized model confirmed the outperformance of our contextualized model. Our findings advance the academic understanding of PASS and help service providers design PASS for customer acceptance.

Suggested Citation

  • Valerie Graf-Drasch & Maximilian Röglinger & Annette Wenninger & Sabiölla Hosseini, 2022. "A Contextualized Acceptance Model for Proactive Smart Services," Schmalenbach Journal of Business Research, Springer, vol. 74(3), pages 345-387, September.
    • Handle: RePEc:spr:sjobre:v:74:y:2022:i:3:d:10.1007_s41471-022-00139-7
    DOI: 10.1007/s41471-022-00139-7
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    as
    1. Jin Noh, Mi & Seong Kim, Ju, 2010. "Factors influencing the user acceptance of digital home services," Telecommunications Policy, Elsevier, vol. 34(11), pages 672-682, December.
    2. Daniel Beverungen & Oliver Müller & Martin Matzner & Jan Mendling & Jan Brocke, 2019. "Conceptualizing smart service systems," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(1), pages 7-18, March.
    3. Frank Ebbers & Jan Zibuschka & Christian Zimmermann & Oliver Hinz, 2021. "User preferences for privacy features in digital assistants," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 411-426, June.
    4. John Horn, 1965. "A rationale and test for the number of factors in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 30(2), pages 179-185, June.
    5. Allen S. Lee & Richard L. Baskerville, 2003. "Generalizing Generalizability in Information Systems Research," Information Systems Research, INFORMS, vol. 14(3), pages 221-243, September.
    6. Alladi Venkatesh, 2008. "Digital home technologies and transformation of households," Information Systems Frontiers, Springer, vol. 10(4), pages 391-395, September.
    7. Whetten, David A., 2009. "An Examination of the Interface between Context and Theory Applied to the Study of Chinese Organizations," Management and Organization Review, Cambridge University Press, vol. 5(1), pages 29-56, March.
    8. Abide Coskun-Setirek & Sona Mardikyan, 2017. "Understanding the Adoption of Voice Activated Personal Assistants," International Journal of E-Services and Mobile Applications (IJESMA), IGI Global, vol. 9(3), pages 1-21, July.
    9. Geoffrey Heal, 1977. "Guarantees and Risk-Sharing," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 44(3), pages 549-560.
    10. Björn Niehaves & Ralf Plattfaut, 2014. "Internet adoption by the elderly: employing IS technology acceptance theories for understanding the age-related digital divide," European Journal of Information Systems, Taylor & Francis Journals, vol. 23(6), pages 708-726, November.
    11. Sze Wan Kwong & Jungkun Park, 2008. "Digital music services: consumer intention and adoption," The Service Industries Journal, Taylor & Francis Journals, vol. 28(10), pages 1463-1481, December.
    12. Rainer Alt & Haluk Demirkan & Jan Fabian Ehmke & Anne Moen & Alfred Winter, 2019. "Smart services: The move to customer orientation," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(1), pages 1-6, March.
    13. Nikitakos, Nikitas & Lambrou, Maria A., 2007. "Chapter 12 Digital Shipping: The Greek Experience," Research in Transportation Economics, Elsevier, vol. 21(1), pages 383-417, January.
    14. Weiyin Hong & Frank K. Y. Chan & James Y. L. Thong & Lewis C. Chasalow & Gurpreet Dhillon, 2014. "A Framework and Guidelines for Context-Specific Theorizing in Information Systems Research," Information Systems Research, INFORMS, vol. 25(1), pages 111-136, March.
    15. Sung S. Kim & Naresh K. Malhotra, 2005. "A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena," Management Science, INFORMS, vol. 51(5), pages 741-755, May.
    16. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    17. Janice C Sipior & Burke T Ward & Regina Connolly, 2011. "The digital divide and t-government in the United States: using the technology acceptance model to understand usage," European Journal of Information Systems, Taylor & Francis Journals, vol. 20(3), pages 308-328, May.
    18. Farah, Maya F. & Ramadan, Zahy B., 2017. "Disruptions versus more disruptions: How the Amazon dash button is altering consumer buying patterns," Journal of Retailing and Consumer Services, Elsevier, vol. 39(C), pages 54-61.
    19. Sonja Dreyer & Daniel Olivotti & Benedikt Lebek & Michael H. Breitner, 2019. "Focusing the customer through smart services: a literature review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(1), pages 55-78, March.
    20. Girod, Bastien & Mayer, Sebastian & Nägele, Florian, 2017. "Economic versus belief-based models: Shedding light on the adoption of novel green technologies," Energy Policy, Elsevier, vol. 101(C), pages 415-426.
    21. Buchan, Nancy R. & Croson, Rachel T.A. & Solnick, Sara, 2008. "Trust and gender: An examination of behavior and beliefs in the Investment Game," Journal of Economic Behavior & Organization, Elsevier, vol. 68(3-4), pages 466-476, December.
    22. Kim, Moon-Koo & Park, Myeong-Cheol & Jeong, Dong-Heon, 2004. "The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services," Telecommunications Policy, Elsevier, vol. 28(2), pages 145-159, March.
    23. Renate Schubert, 1999. "Financial Decision-Making: Are Women Really More Risk-Averse?," American Economic Review, American Economic Association, vol. 89(2), pages 381-385, May.
    24. Larivière, Bart & Bowen, David & Andreassen, Tor W. & Kunz, Werner & Sirianni, Nancy J. & Voss, Chris & Wünderlich, Nancy V. & De Keyser, Arne, 2017. "“Service Encounter 2.0”: An investigation into the roles of technology, employees and customers," Journal of Business Research, Elsevier, vol. 79(C), pages 238-246.
    25. 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.
    26. Chiehyeon Lim & Paul P. Maglio, 2018. "Data-Driven Understanding of Smart Service Systems Through Text Mining," Service Science, INFORMS, vol. 10(2), pages 154-180, June.
    27. Marcus Fischer & David Heim & Adrian Hofmann & Christian Janiesch & Christoph Klima & Axel Winkelmann, 2020. "A taxonomy and archetypes of smart services for smart living," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(1), pages 131-149, March.
    28. Pham, Thanh-Thao T. & Ho, Jonathan C., 2015. "The effects of product-related, personal-related factors and attractiveness of alternatives on consumer adoption of NFC-based mobile payments," Technology in Society, Elsevier, vol. 43(C), pages 159-172.
    29. Deng, Zhaohua & Lu, Yaobin & Wei, Kwok Kee & Zhang, Jinlong, 2010. "Understanding customer satisfaction and loyalty: An empirical study of mobile instant messages in China," International Journal of Information Management, Elsevier, vol. 30(4), pages 289-300.
    30. Henner Gimpel & Dominikus Kleindienst & Daniela Waldmann, 2018. "The disclosure of private data: measuring the privacy paradox in digital services," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(4), pages 475-490, November.
    31. Sridhar Moorthy & Kannan Srinivasan, 1995. "Signaling Quality with a Money-Back Guarantee: The Role of Transaction Costs," Marketing Science, INFORMS, vol. 14(4), pages 442-466.
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