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Investigating Technology Commitment in Instant Messaging Application Users

Investigating Technology Commitment in Instant Messaging Application Users

Y. Ken Wang, Pratim Datta
Copyright: © 2010 |Volume: 22 |Issue: 4 |Pages: 25
ISSN: 1546-2234|EISSN: 1546-5012|EISBN13: 9781613502235|DOI: 10.4018/joeuc.2010100104
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MLA

Wang, Y. Ken, and Pratim Datta. "Investigating Technology Commitment in Instant Messaging Application Users." JOEUC vol.22, no.4 2010: pp.70-94. http://doi.org/10.4018/joeuc.2010100104

APA

Wang, Y. K. & Datta, P. (2010). Investigating Technology Commitment in Instant Messaging Application Users. Journal of Organizational and End User Computing (JOEUC), 22(4), 70-94. http://doi.org/10.4018/joeuc.2010100104

Chicago

Wang, Y. Ken, and Pratim Datta. "Investigating Technology Commitment in Instant Messaging Application Users," Journal of Organizational and End User Computing (JOEUC) 22, no.4: 70-94. http://doi.org/10.4018/joeuc.2010100104

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Abstract

Although much research in the IS field has examined IS adoption, less is known about post-adoption behavior among IS users, especially when competing alternatives are available. Incorporating commitment theory from social psychology and management science literature, this paper proposes an IS continuance model that explains why some IS technologies enjoy continued use after adoption and others are often relegated to the basement as shelfware. This paper uses a technology commitment perspective to unravel why adopted technologies experience mixed success. Specifically, the authors argue that IS continuance may be best understood by investigating user commitment toward specific technologies. Three components of technology commitment, that is, affective commitment, calculative commitment, and normative commitment, are used to formulate a research model. The model is empirically tested in the context of instant messaging software. Results show a strong support for the model and explicate commitment differentials among users across different brands of instant messaging software. The study ends with a discussion of the results and their implications for research and practice.

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