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Establishing Relationships Between Innovation Characteristics And It Innovation Adoption In Organisations: A Meta-Analysis Approach

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  • MUMTAZ ABDUL HAMEED

    (Department of Information Systems and Computing, Brunel University London, Uxbridge, Middlesex UB8 3PH, UK)

  • STEVE COUNSELL

    (Department of Information Systems and Computing, Brunel University London, Uxbridge, Middlesex UB8 3PH, UK)

Abstract

This paper presents the findings of a meta-analysis of innovation characteristics that influence the adoption of information technology (IT) in organisations. Past studies that examine the determinants of IT innovation adoption have produced inconsistent and contradictory results and deducing a definitive set of attributes for innovation adoption has become impractical. The study has aggregated findings of past research on IT adoption using meta-analysis to identify key factors in terms of innovation or technology that influences adoption of IT in organisation. Six innovation characteristics most commonly examined by researchers have been analysed. The results of this meta-analysis confirm that relative advantage, compatibility, cost, observability and trialability are strong determinants of IT innovation adoption. However, the study found no association between complexity and IT innovation adoption. The effect of stage of innovation, type of innovation, type of organisation and size of organisation as four moderating conditions has also been examined.

Suggested Citation

  • Mumtaz Abdul Hameed & Steve Counsell, 2014. "Establishing Relationships Between Innovation Characteristics And It Innovation Adoption In Organisations: A Meta-Analysis Approach," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 1-41.
  • Handle: RePEc:wsi:ijimxx:v:18:y:2014:i:01:n:s1363919614500078
    DOI: 10.1142/S1363919614500078
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    Cited by:

    1. Christian Arnold & Kai-Ingo Voigt, 2019. "Determinants of Industrial Internet of Things Adoption in German Manufacturing Companies," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-21, October.
    2. Chong Li & Yingqi Li, 2023. "Factors Influencing Public Risk Perception of Emerging Technologies: A Meta-Analysis," Sustainability, MDPI, vol. 15(5), pages 1-37, February.
    3. Abdalwali Lutfi & Ahmad Farhan Alshira’h & Malek Hamed Alshirah & Manaf Al-Okaily & Hamza Alqudah & Mohamed Saad & Nahla Ibrahim & Osama Abdelmaksoud, 2022. "Antecedents and Impacts of Enterprise Resource Planning System Adoption among Jordanian SMEs," Sustainability, MDPI, vol. 14(6), pages 1-18, March.
    4. Abdalwali Lutfi & Akif Lutfi Al-Khasawneh & Mohammed Amin Almaiah & Adi Alsyouf & Mahmaod Alrawad, 2022. "Business Sustainability of Small and Medium Enterprises during the COVID-19 Pandemic: The Role of AIS Implementation," Sustainability, MDPI, vol. 14(9), pages 1-20, April.

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