The DOI matches its Crossref record; 52 of the 54 references it cites were found in a registry or an index.
Task-Technology Fit and Individual Performance
Abstract
A key concern in Information Systems (IS) research has been to better understand the linkage between information systems and individual performance. The research reported in this study has two primary objectives: (1) to propose a comprehensive theoretical model that incorporates valuable insights from two complementary streams of research, and (2) to empirically test the core of the model. At the heart of the new model is the assertion that for an information technology to have a positive impact on individual performance, the technology: (1) must be utilized and (2) must be a good fit with the tasks it supports. This new model is moderately supported by an analysis of data from over 600 individuals in two companies. This research highlights the importance of the fit between technologies and users’ tasks in achieving individual performance impacts from information technology. It also suggests that task-technology fit, when decomposed into its more detailed components, could be the basis for a strong diagnostic tool to evaluate whether information systems and services in a given organization are meeting user needs.
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In the citing paper
“Task-technology fit (TTF) theory emphasizes alignment between technology capabilities and specific user tasks as the primary driver of utilization and performance benefits [8, 9]”
In the citing paper
“Task-Technology-Fit (TTF) theorises that a fit among the task, technology, and users positively influences utilisation and performance”
From AI-augmented HRM: Antecedents, assimilation and multilevel consequences (2023) · cites this paper as Goodhue & Thompson, 1995
In the citing paper
“This may result in having to re-discover, repetitively, the ways to perform seemingly simple tasks that have been complicated by the e-HRM technology (Goodhue & Thompson, 1995).”
From Conceptualising the future of HRM and technology research (2016) · cites this paper as Goodhue & Thompson, 1995
In the citing paper
“The task-technology fit theory also suggests that the adoption of technology is influenced by other factors, such as individual and organizational factors (Goodhue and Thompson, 1995; Lin, 2014; Alyoussef, 2023).”
From Exploring the antecedents of AI adoption for effective HRM practices in the Indian pharmaceutical sector (2023) · cites this paper as Goodhue and Thompson, 1995
In the citing paper
“Earlier studies have generally demonstrated the impact of task characteristics and technology characteristics on TTF in a range of scenarios [39,40,88].”
From Acceptance of e-learning in higher education: the role of task-technology fit with the information systems success model (2023) · cites this paper as [39]
In the citing paper
“The task-technology fit (TTF) concept contends that performance and acceptance are influenced by how well a task and the technology being used to complete it “fit” together [39].”
From Acceptance of e-learning in higher education: the role of task-technology fit with the information systems success model (2023) · cites this paper as [39]
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Metadata
- Authors
- Goodhue, D. L., & Thompson, R. L.
- Affiliations
- University of Minnesota (US)
- University of Vermont (US)
- Venue
- MIS Quarterly
- Publisher
- MIS Quarterly
- Published
- 1995-06-01
- Volume
- 19
- Issue
- 2
- Pages
- 213-236
- ISSN
- 0276-7783 (ISSN-L)
- 2162-9730
- OpenAlex
- W1587451402
- Cited by
- 6,006
- References
- 54
- Citations by year
- 2026: 542 · 2025: 429 · 2024: 339 · 2023: 326 · 2022: 315 · 2021: 330 · 2020: 269 · 2019: 286 · 2018: 244 · 2017: 224 · 2016: 207 · 2015: 285 · 2014: 263 · 2013: 229 · 2012: 248
- FWCI
- 63.67
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- MIS Quarterly (publishedVersion)
- Journal of the Association for Information Systems (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Systems Theories and Implementation
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Technology Governance and Strategy
- Keywords
- task-technology fit, individual performance, information technology use, theoretical model, technology adoption
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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