The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Individual Adjustment to Information-Driven Technologies: A Critical Review
Abstract
Little is currently known about the process of individual adjustment to information technology innovations. This article reports the results of a critical review of the literature, using an interactional psychology framework. In the past, researchers have focused on the limited themes of stress and attitudes. The indicators of individual adjustment emphasized in past research are strain symptoms and general job satisfaction. The proposed interactional framework represents a more comprehensive approach incorporating organizational, work group, and job factors that affect individual adjustment. The range of individual adjustment indicators should be broadened to include facets of satisfaction, organizational commitment, job involvemnt, and performance. By adopting this framework and refining the process used by researchers in studying individual adjustment, a better match between research issues and problems faced by managers will be achieved.
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Cites
Self-efficacy mechanism in human agency
Bandura, A. (1982) · American Psychologist · doi:10.1037/0003-066x.37.2.122 · Cited by 15,975
Negative affectivity: the disposition to experience aversive emotional states
Watson, D., & Clark, L. A. (1984) · Psychological Bulletin · doi:10.1037/0033-2909.96.3.465 · Cited by 4,636
Information Technology and Organizational Change: Causal Structure in Theory and Research
Markus, M. L., & Robey, D. (1988) · Management Science · doi:10.1287/mnsc.34.5.583 · Cited by 2,108
Computer anxiety: sex, race and age
Gilroy, F. D., & Desai, H. B. (1986) · International Journal of Man-Machine Studies · doi:10.1016/s0020-7373(86)80084-0 · Cited by 206
The Impact of Automated Office Systems on Middle Managers and Their Work
Millman, Z., & Hartwick, J. (1987) · MIS Quarterly · doi:10.2307/248977 · Cited by 147
Differential experiences of men and women in computerized offices
Gutek, B. A., & Bikson, T. K. (1985) · Sex Roles · doi:10.1007/bf00287905 · Cited by 75
Cited by
Are Individual Differences Germane to the Acceptance of New Information Technologies?
Agarwal, R., & Prasad, J. (1999) · Decision Sciences · doi:10.1111/j.1540-5915.1999.tb01614.x · Cited by 2,102
Ragu-Nathan, T. S., Tarafdar, M., Ragu-Nathan, B. S., & Tu, Q. (2008) · Information Systems Research · doi:10.1287/isre.1070.0165 · Cited by 2,060
The Impact of Technostress on Role Stress and Productivity
Tarafdar, M., Tu, Q., Ragu-Nathan, B. S., & Ragu-Nathan, T. S. (2007) · Journal of Management Information Systems · doi:10.2753/mis0742-1222240109 · Cited by 1,904
Testing the Determinants of Microcomputer Usage via a Structural Equation Model
Igbaria, M., Guimaraes, T., & Davis, G. B. (1995) · Journal of Management Information Systems · doi:10.1080/07421222.1995.11518061 · Cited by 1,159
Technology acceptance model for wireless Internet
Lu, J., Yu, C., Liu, C., & Yao, J. E. (2003) · Internet Research · doi:10.1108/10662240310478222 · Cited by 991
Metadata
- Authors
- Nelson, D. L.
- Venue
- MIS Quarterly
- Publisher
- MIS Quarterly
- Published
- 1990-03-01
- Volume
- 14
- Issue
- 1
- Pages
- 79-98
- ISSN
- 0276-7783 (ISSN-L)
- 2162-9730
- OpenAlex
- W2151090070
- Cited by
- 208
- References
- 6
- FWCI
- 17.94
- Type
- journal article
- Language
- en
- Open access
- closed
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