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An empirical study on the integrative pre-implementation model of technology acceptance in a mandatory environment

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  • Yujong Hwang
  • Jin-Young Chung
  • Dong-Hee Shin
  • Younghwa Lee

Abstract

Technology acceptance has been studied extensively within the IS discipline. Few, if any, have studied end users’ acceptance of newly implemented technologies within organisational contexts before end users start using the technology. Thus, by integrating variables from multiple relevant literature, this research attempts to answer this research question: will the introduction of a richer model for technology acceptance in a mandatory adoption environment, specifically in the pre-implementation phase, allow us to capture and account for the complexities of organisational technology implementations? The research model was tested in an organisational setting where a new content management system was being implemented. A total of 148 employees participated in this survey and partial least squares method was used to analyse the data to test the model. Implementation climate, valence, attitude, and perceived ease of use positively influence goal commitment to technology acceptance in a mandatory environment, and the model has displayed relatively large explanatory and predictive power. Theoretical and practical implications are discussed in the paper.

Suggested Citation

  • Yujong Hwang & Jin-Young Chung & Dong-Hee Shin & Younghwa Lee, 2017. "An empirical study on the integrative pre-implementation model of technology acceptance in a mandatory environment," Behaviour and Information Technology, Taylor & Francis Journals, vol. 36(8), pages 861-874, August.
    • Handle: RePEc:taf:tbitxx:v:36:y:2017:i:8:p:861-874
    DOI: 10.1080/0144929X.2017.1306751
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