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To Convert or not to Convert to the Upgraded Version of de-facto Standard Software

Listed author(s):
  • Yang, Hee Dong
  • Karon, Christoph
  • Kang, Sora
Registered author(s):

    This work extends the innovation diffusion theory to understand the causal relationship among influential factors on the adoption of the upgraded software. Especially, this study focuses on the de-facto standard software (e.g., Microsoft Office) that competes against its previous versions. This paper makes three unprecedented contributions. First, we re-categorize the eight factors in innovation diffusion theory into Kano’s (1984) three factor framework on customer satis-faction, and develop the causal relationship among these factors. Second, we distinguish two different dependent varia-bles, positive attitude (on behalf of adopting the new version) and negative attitude (for staying put with the old version), and include them together in our research model. Inhibitors and facilitators are well distinguished in our study and their respective causal models are suggested. Our results demonstrate that own experiences through triability and demonstrat-ed results have significant influence on compatibility and ease of use, while social influences caused by visibility and image relate significantly to compatibility, relative advantage, and monetary value. We also find that negative attitude is influence by the lack of compatibility and ease of use, whereas positive attitude is promoted by relative advantage and monetary value.

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    Paper provided by Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University in its series CEI Working Paper Series with number 2012-02.

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    Length: 21 p.
    Date of creation: Aug 2012
    Handle: RePEc:hit:hitcei:2012-02
    Note: August 2012
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    1. Premkumar, G. & Bhattacherjee, Anol, 2008. "Explaining information technology usage: A test of competing models," Omega, Elsevier, vol. 36(1), pages 64-75, February.
    2. Fornell, Claes, 1983. " Issues in the Application of Covariance Structure Analysis: A Comment," Journal of Consumer Research, Oxford University Press, vol. 9(4), pages 443-448, March.
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