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How socially derived characteristics of technology shape the adoption of corporate Web 2.0 tools for collaboration

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  • Santiago Iglesias-Pradas
  • Ángel Hernández-García
  • Pedro Fernández-Cardador

Abstract

Socially derived characteristics (perceptions of individuals about technology-related characteristics) of Web 2.0 tools are not generally taken into account when decisions are made about which systems to use for collaboration in corporate settings. This exploratory research studies the influence of these characteristics—perceived compatibility, social presence, and group supportability—in the adoption of corporate blogs and validates a theory-grounded model with data from 73 employees. The results show that social presence and users’ values influence perceived usefulness of corporate blogs and play an important role in their adoption, while existing work practices, prior experience and group supportability do not. Copyright Springer-Verlag Berlin Heidelberg 2014

Suggested Citation

  • Santiago Iglesias-Pradas & Ángel Hernández-García & Pedro Fernández-Cardador, 2014. "How socially derived characteristics of technology shape the adoption of corporate Web 2.0 tools for collaboration," Service Business, Springer;Pan-Pacific Business Association, vol. 8(3), pages 465-478, September.
    • Handle: RePEc:spr:svcbiz:v:8:y:2014:i:3:p:465-478
    DOI: 10.1007/s11628-014-0250-1
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    References listed on IDEAS

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    1. Wynne W. Chin & Barbara L. Marcolin & Peter R. Newsted, 2003. "A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study," Information Systems Research, INFORMS, vol. 14(2), pages 189-217, June.
    2. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    3. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    4. Ned Kock, 2004. "The Psychobiological Model: Towards a New Theory of Computer-Mediated Communication Based on Darwinian Evolution," Organization Science, INFORMS, vol. 15(3), pages 327-348, June.
    5. Sang Lee & Taewan Kim & Yonghwi Noh & Byungku Lee, 2010. "Success factors of platform leadership in web 2.0 service business," Service Business, Springer;Pan-Pacific Business Association, vol. 4(2), pages 89-103, June.
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    1. Hernández-García, Ángel & Iglesias-Pradas, Santiago & Fernández-Cardador, Pedro, 2016. "Causal recipes for acceptance and refusal of corporate blogs," Journal of Business Research, Elsevier, vol. 69(4), pages 1492-1497.

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