Technology readiness:a meta-analysis of conceptualizations of the construct and its impact on technology usage


The technology readiness (TR) index aims to better understand people’s propensity to embrace and use cutting-edge technologies. The initial TR construct considers four dimensions—innovativeness, optimism, insecurity, and discomfort—that collectively explain technology usage. The present meta-analysis advances understanding of TR by reexamining its dimensionality, and investigating mediating mechanisms and moderating influences in the TR–technology usage relationship. Using data from 193 independent samples extracted from 163 articles reported by 69,263 individuals, we find that TR is best conceptualized as a two-dimensional construct differentiating between motivators (innovativeness, optimism) and inhibitors (insecurity, discomfort). We observe strong indirect effects of these dimensions on technology usage through mediators proposed by the quality–value–satisfaction chain and technology acceptance model. The results suggest stronger relationships for motivators than for inhibitors, but also that these TR dimensions exert influence through different mediators. Further, the moderator results suggest that the strength of TR–technology usage relationships depends on the technology type (hedonic/utilitarian), examined firm characteristics (voluntary/mandatory use; firm support), and country context (gross domestic product; human development). Finally, customer age, education, and experience are related to TR. These findings enhance managers’ understanding of how TR influences technology usage.

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Divisions: College of Business and Social Sciences > Aston Business School > Marketing & Strategy
College of Business and Social Sciences > Aston Business School
Additional Information: © The Author(s) 2019. Open Access - This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Uncontrolled Keywords: Hierarchical linear meta-analysis,Meta-analysis,Quality–value–satisfaction chain,Structural equation modeling,Technology acceptance,Technology readiness,Business and International Management,Economics and Econometrics,Marketing
Publication ISSN: 1552-7824
Last Modified: 08 Apr 2024 07:26
Date Deposited: 15 Aug 2019 08:50
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Related URLs: http://link.spr ... 747-019-00680-8 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2020-07
Published Online Date: 2019-08-05
Accepted Date: 2019-07-19
Authors: Blut, Markus (ORCID Profile 0000-0003-0436-6846)
Wang, Cheng



Version: Published Version

License: Creative Commons Attribution

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