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Decomposition of perceived usefulness: A theoretical perspective and empirical test

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  • Ambalov, Igor Alexander

Abstract

Information technology (IT) research largely treats perceived usefulness as a simple concept reflecting system effectiveness in improving task productivity. In the context of continuing use of modern IS – complex systems capable of supporting various uses – this approach is overly simplistic. This simplicity negatively affects content validity of the key determinants of IT use, thereby biasing research findings and conclusions. This study applies affordance theory integrated with uses and gratifications to conceptualize the factor of usefulness as a multidimensional construct accounting for the complexity of modern IT. This perspective is empirically tested using a cross-sectional survey sample of 218 university-student Facebook users. The results of the analysis affirm that the proposed conceptualization of perceived usefulness is valid. The study contributes by depicting the mechanism by which usefulness beliefs shape users’ decisions, and by demonstrating that using a multidimensional approach to measure conceptually complex constructs can lead to more accurate prediction and explanation of IT usage.

Suggested Citation

  • Ambalov, Igor Alexander, 2021. "Decomposition of perceived usefulness: A theoretical perspective and empirical test," Technology in Society, Elsevier, vol. 64(C).
    • Handle: RePEc:eee:teinso:v:64:y:2021:i:c:s0160791x20313233
    DOI: 10.1016/j.techsoc.2020.101520
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    References listed on IDEAS

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    1. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    2. 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.
    3. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
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    Cited by:

    1. Maduku, Daniel K. & Thusi, Philile, 2023. "Understanding consumers' mobile shopping continuance intention: New perspectives from South Africa," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    2. Nathalie Peña-García & David van der Woude & Augusto Rodríguez-Orejuela, 2022. "Recommend or Not: Is Generation the Key? A Perspective from the SOR Paradigm for Online Stores in Colombia," Sustainability, MDPI, vol. 14(23), pages 1-16, December.
    3. Yang, Hongjun & Zhang, Shengtai, 2022. "Social media affordances and fatigue: The role of privacy concerns, impression management concerns, and self-esteem," Technology in Society, Elsevier, vol. 71(C).

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