Skip to main navigation Skip to search Skip to main content

Systematic Literature Review on Technology Adoption: Meta-Analysis Approach

  • Davit Marikyan
  • , Savvas Papagiannidis

    Research output: Contribution to conference › Conference Paper › peer-review

    902 Downloads (Pure)

    Abstract

    Given the constant development of technology and the multiplicity of models and theories explaining technology acceptance, there is a need to systematise the literature to understand the current state of technology acceptance and provide future research avenues. Given the lack of comprehensive reviews on technology acceptance using comparative and longitudinal insights into factors, this study uses the meta-analysis approach and aims to address three main
    objectives: 1) identify all factors underpinning technology acceptance without being limited to a specific technology acceptance model, 2) adopt a longitudinal approach to investigate the changes in the effect sizes of factors over time, and 3) compare the predictive strength of three models with three dependent variables (attitude, intention to use and use behaviour). The review will potentially provide theoretical and practical contributions by proposing a comprehensive review of the factors underpinning technology acceptance, thus helping practitioners understand how to design and market technologies.
    Original languageEnglish
    Publication statusPublished - 5 Sept 2020
    EventBritish Academy of Management 2020 - Alliance Manchester Business School, Manchester, United Kingdom
    Duration: 2 Sept 2021 → 4 Sept 2021
    https://www.bam.ac.uk/

    Conference

    ConferenceBritish Academy of Management 2020
    Country/TerritoryUnited Kingdom
    CityManchester
    Period2/09/21 → 4/09/21
    Internet address

    Keywords

    • Technology adoption
    • systematic review
    • meta-analysis

    Fingerprint

    Dive into the research topics of 'Systematic Literature Review on Technology Adoption: Meta-Analysis Approach'. Together they form a unique fingerprint.

    Cite this