The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Understanding User Evaluations of Information Systems
Abstract
Organizations spend millions of dollars on information systems to improve organizational or individual performance, but objective measures of system success are extremely difficult to achieve. For this reason, many MIS researchers (and potentially MIS practitioners) rely on user evaluations of systems as a surrogate for MIS success. However, these measures have been strongly criticized as lacking strong theoretical underpinnings. Furthermore, empirical evidence of their efficacy is surprisingly weak. Part of the explanation for the theoretical and empirical problems with user evaluations is that they are really a measurement technique rather than a single theoretical construct. User evaluations are elicited beliefs or attitudes about something, and they have been used to measure a variety of different “somethings.” What is needed for user evaluations to be an effective measure of IS success is the identification of some specific user evaluation construct, defined within a theoretical perspective that can usefully link underlying systems to their relevant impacts. We propose task-technology fit (TTF) as such a user evaluation construct. The TTF perspective views technology as a means by which a goal-directed individual performs tasks. TTF focuses on the degree to which systems characteristics match user task needs. We posit that higher task-technology fit will result in better performance. Further, we posit that users can successfully evaluate task-technology fit. This latter proposition is strongly supported in a survey of 259 users in 9 companies.
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Cites
Information Systems Success: The Quest for the Dependent Variable
DeLone, W. H., & McLean, E. R. (1992) · Information Systems Research · doi:10.1287/isre.3.1.60 · Cited by 10,697
Cognitive Fit: A Theory‐Based Analysis of the Graphs Versus Tables Literature*
Vessey, I. (1991) · Decision Sciences · doi:10.1111/j.1540-5915.1991.tb00344.x · Cited by 1,263
Determinants of success for computer usage in small business
DeLone, W. H. (1988) · MIS Quarterly · doi:10.2307/248803 · Cited by 703
Human Resource Information Systems: A Current Assessment
DeSanctis, G. (1986) · MIS Quarterly · doi:10.2307/248875 · Cited by 281
Developing a process model of problem recognition
Cowan, D. A. (1986) · The Academy of Management Review · doi:10.2307/258395 · Cited by 257
Cited by
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
Venkatesh, V., & Davis, F. D. (2000) · Management Science · doi:10.1287/mnsc.46.2.186.11926 · Cited by 23,066
Task-Technology Fit and Individual Performance
Goodhue, D. L., & Thompson, R. L. (1995) · MIS Quarterly · doi:10.2307/249689 · Cited by 6,006
Self-citationUser Acceptance of Hedonic Information Systems1
van der Heijden, H. (2004) · MIS Quarterly · doi:10.2307/25148660 · Cited by 3,850
Extending the technology acceptance model with task–technology fit constructs
Dishaw, M. T., & Strong, D. M. (1999) · Information & Management · doi:10.1016/s0378-7206(98)00101-3 · Cited by 1,772
Metadata
- Authors
- Goodhue, D. L.
- Venue
- Management Science
- Published
- 1995-12
- Volume
- 41
- Issue
- 12
- Pages
- 1827-1844
- ISSN
- 0025-1909 (ISSN-L)
- 1526-5501
- OpenAlex
- W2037846862
- Cited by
- 1,217
- References
- 5
- FWCI
- 26.24
- Type
- journal article
- Language
- en
- Open access
- closed
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