The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Understanding Individual Adoption of Instant Messaging: An Empirical Investigation
Abstract
The wide diffusion of Instant Messaging (IM) in a voluntary social context calls for studies to examine the value of computer-mediated communication technologies in developing interpersonal relationships. By integrating three interpersonal factors into a model of motivation from the technology acceptance literature, we develop and test a research model to explain an individual's continuous use of IM in keeping and sustaining interpersonal relationships. We find that the behavioral intention to continue using IM was predicated by perceived usefulness, perceived enjoyment, and perceived critical mass. Attachment motivation, relationship commitment, and perceived critical mass were all positively associated with perceived enjoyment. Perceived enjoyment and perceived critical mass had significant effects on perceived usefulness. The results imply that IM is a useful and fun tool for fulfilling one's need for attachment and commitment and for gathering online with one's friends, family members, and others. In addition, perceived enjoyment is the dominant factor explaining grassroots adoption of communication technologies. Finally, it is important to integrate utility factors (usefulness and enjoyment) with social factors in studying communication technologies.
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Citations
Cites
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Cited by
Technology acceptance model (TAM) and social media usage: an empirical study on Facebook
Rauniar, R., Rawski, G., Yang, J., & Johnson, B. (2014) · Journal of Enterprise Information Management · doi:10.1108/jeim-04-2012-0011 · Cited by 937
Qiu, L., & Benbasat, I. (2009) · Journal of Management Information Systems · doi:10.2753/mis0742-1222250405 · Cited by 737
Predicting collaboration technology use: integrating technology adoption and collaboration research
Brown, S. A., Dennis, A. R., & Venkatesh, V. (2010) · Journal of Management Information Systems · doi:10.2753/mis0742-1222270201 · Cited by 592
Yen, D. C., Wu, C.-S., Cheng, F.-F., & Huang, Y.-W. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.02.005 · Cited by 319
Hertzum (2017) · doi:10.1145/3127358 · Cited by 307
Metadata
- Authors
- Ohio University, U. S. A., Lou, H., Chau, P., University of Hong Kong, H. K., Li, D., & University of Minnesota Duluth, U. S. A.
- Venue
- Journal of the Association for Information Systems
- Publisher
- Association for Information Systems
- Published
- 2005-04
- Volume
- 6
- Issue
- 4
- Pages
- 102-129
- ISSN
- 1536-9323 (ISSN-L)
- OpenAlex
- W2296638537
- Cited by
- 326
- References
- 16
- FWCI
- 30.11
- Type
- journal article
- Language
- en
- Open access
- closed
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- Ohio University, U. S. A., Lou, H., Chau, P., University of Hong Kong, H. K., Li, D., & University of Minnesota Duluth, U. S. A. (2005). Understanding Individual Adoption of Instant Messaging: An Empirical Investigation. Journal of the Association for Information Systems. https://doi.org/10.17705/1jais.00066
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
