IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v127y2021icp300-311.html
   My bibliography  Save this article

A cross-category analysis of dispositional drivers of technology adoption

Author

Listed:
  • Ratchford, Mark
  • Ratchford, Brian T.

Abstract

Using the Technology Adoption Propensity (TAP) index, a psychometric scale that measures four dimensions of consumers’ technological predispositions, we examine the relative influence of contributing (optimism and proficiency) and inhibiting (dependence and vulnerability) dispositional attitudes on the adoption of a varied range of 19 technologies. Our results indicate considerable differences in the relation between technology usage and the attitudes of respondents across the technologies. We show that individuals can be grouped into three technology clusters based on technological dispositions: high proficiency/low vulnerability; low proficiency & optimism/high vulnerability; high optimism/low vulnerability. Each cluster may indicate a need for a particular sales strategy given differences in consumer attitudes.

Suggested Citation

  • Ratchford, Mark & Ratchford, Brian T., 2021. "A cross-category analysis of dispositional drivers of technology adoption," Journal of Business Research, Elsevier, vol. 127(C), pages 300-311.
    • Handle: RePEc:eee:jbrese:v:127:y:2021:i:c:p:300-311
    DOI: 10.1016/j.jbusres.2021.01.037
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S014829632100045X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jbusres.2021.01.037?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. Zhu, Zhen & Nakata, Cheryl & Sivakumar, K. & Grewal, Dhruv, 2013. "Fix It or Leave It? Customer Recovery from Self-service Technology Failures," Journal of Retailing, Elsevier, vol. 89(1), pages 15-29.
    3. Markus Blut & Cheng Wang, 2020. "Technology readiness: a meta-analysis of conceptualizations of the construct and its impact on technology usage," Journal of the Academy of Marketing Science, Springer, vol. 48(4), pages 649-669, July.
    4. Alsajjan, Bander & Dennis, Charles, 2010. "Internet banking acceptance model: Cross-market examination," Journal of Business Research, Elsevier, vol. 63(9-10), pages 957-963, September.
    5. 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.
    6. Alba, Joseph W & Hutchinson, J Wesley, 1987. "Dimensions of Consumer Expertise," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(4), pages 411-454, March.
    7. Bhatnagar, Amit & Ghose, Sanjoy, 2004. "A latent class segmentation analysis of e-shoppers," Journal of Business Research, Elsevier, vol. 57(7), pages 758-767, July.
    8. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    9. 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.
    10. Bruner, Gordon II & Kumar, Anand, 2005. "Explaining consumer acceptance of handheld Internet devices," Journal of Business Research, Elsevier, vol. 58(5), pages 553-558, May.
    11. Lam, Shun Yin & Chiang, Jeongwen & Parasuraman, A., 2008. "The effects of the dimensions of technology readiness on technology acceptance: An empirical analysis," Journal of Interactive Marketing, Elsevier, vol. 22(4), pages 19-39.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. van de Sanden, Stephanie & Willems, Kim & Brengman, Malaika, 2022. "How customers motive attributions impact intentions to use an interactive kiosk in-store," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    2. Navid Bahmani & Amit Bhatnagar & Dinesh Gauri, 2022. "Hey, Alexa! What attributes of Skills affect firm value?," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1219-1235, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Markus Blut & Cheng Wang, 2020. "Technology readiness: a meta-analysis of conceptualizations of the construct and its impact on technology usage," Journal of the Academy of Marketing Science, Springer, vol. 48(4), pages 649-669, July.
    2. Reinhardt, Ronny & Gurtner, Sebastian, 2018. "The overlooked role of embeddedness in disruptive innovation theory," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 268-283.
    3. Fosso Wamba, Samuel & Bhattacharya, Mithu & Trinchera, Laura & Ngai, Eric W.T., 2017. "Role of intrinsic and extrinsic factors in user social media acceptance within workspace: Assessing unobserved heterogeneity," International Journal of Information Management, Elsevier, vol. 37(2), pages 1-13.
    4. Jaydeep Mukherjee, 2016. "A comprehensive framework for adoption of mobile broadband services in Indian cities," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 6(1), pages 9-25, January.
    5. 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.
    6. Attié, Elodie & Meyer-Waarden, Lars, 2022. "The acceptance and usage of smart connected objects according to adoption stages: an enhanced technology acceptance model integrating the diffusion of innovation, uses and gratification and privacy ca," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    7. Laukkanen, Tommi, 2016. "Consumer adoption versus rejection decisions in seemingly similar service innovations: The case of the Internet and mobile banking," Journal of Business Research, Elsevier, vol. 69(7), pages 2432-2439.
    8. Julian M. Müller, 2019. "Comparing Technology Acceptance for Autonomous Vehicles, Battery Electric Vehicles, and Car Sharing—A Study across Europe, China, and North America," Sustainability, MDPI, vol. 11(16), pages 1-17, August.
    9. Verhagen. T. & Feldberg, F. & Hooff, B. van den, 2008. "Explaining user adoption of virtual worlds: towards a multipurpose Explaining user adoption of virtual worlds: towards a multipurpose motivational model," Serie Research Memoranda 0006, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    10. Iaia, Lea & Leonelli, Simona & Masciarelli, Francesca & Christofi, Michael & Cooper, Sir Cary, 2022. "The malevolent side of masstige consumers’ behavior: The role of dark triad and technology propensity," Journal of Business Research, Elsevier, vol. 149(C), pages 954-966.
    11. Rajak, Manindra & Shaw, Krishnendu, 2021. "An extension of technology acceptance model for mHealth user adoption," Technology in Society, Elsevier, vol. 67(C).
    12. Rese, Alexandra & Schreiber, Stefanie & Baier, Daniel, 2014. "Technology acceptance modeling of augmented reality at the point of sale: Can surveys be replaced by an analysis of online reviews?," Journal of Retailing and Consumer Services, Elsevier, vol. 21(5), pages 869-876.
    13. Yoshida, Masayuki & James, Jeffrey D. & Cronin, J. Joseph, 2013. "Sport event innovativeness: Conceptualization, measurement, and its impact on consumer behavior," Sport Management Review, Elsevier, vol. 16(1), pages 68-84.
    14. Sohn, Stefanie, 2017. "A contextual perspective on consumers' perceived usefulness: The case of mobile online shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 38(C), pages 22-33.
    15. Cowan, Kelly R. & Daim, Tugrul U., 2011. "Review of technology acquisition and adoption research in the energy sector," Technology in Society, Elsevier, vol. 33(3), pages 183-199.
    16. Morgan-Thomas, Anna & Veloutsou, Cleopatra, 2013. "Beyond technology acceptance: Brand relationships and online brand experience," Journal of Business Research, Elsevier, vol. 66(1), pages 21-27.
    17. Müller-Seitz, Gordon & Dautzenberg, Kirsti & Creusen, Utho & Stromereder, Christine, 2009. "Customer acceptance of RFID technology: Evidence from the German electronic retail sector," Journal of Retailing and Consumer Services, Elsevier, vol. 16(1), pages 31-39.
    18. Donmez, Birsen & Matson, Zannah & Savan, Beth & Farahani, Ellie & Photiadis, David & Dafoe, Joanna, 2014. "Interruption management and office norms: Technology adoption lessons from a product commercialization study," International Journal of Information Management, Elsevier, vol. 34(6), pages 741-750.
    19. Dileep Kumar M & Harvi S, 2014. "Malaysian Y Generation Consumer Research: Does Gender and Technology Literacy affirmative towards E-commerce activities?," Journal of Economics and Behavioral Studies, AMH International, vol. 6(12), pages 906-918.
    20. Kamoonpuri, Sana Zehra & Sengar, Anita, 2023. "Hi, May AI help you? An analysis of the barriers impeding the implementation and use of artificial intelligence-enabled virtual assistants in retail," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jbrese:v:127:y:2021:i:c:p:300-311. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbusres .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.