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]
Citations
Cites
Perceived usefulness, perceived ease of use, and user acceptance of information technology
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Information Technology Implementation Research: A Technological Diffusion Approach
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Flagged first, then by citations
2 of the 54 references couldn’t be matched to a known paper.
Research works printed but not linked: 7
- Barclay, 1995, The Partial Least Squares (PLS) Approach to Causal Modeling: Personal Computer Use as an Illustration, Technology Studies: Special Issue on Research Methodology
- Floyd, 1988, A Micro Level Model of Information Technology Use by Managers, 123
- Goodhue, 1993, Understanding the Linkage Between User Evaluations of Systems and the Underlying Systems
- Moore, 1992, An Empirical Examination of a Model of the Factors Affecting Utilization of Information Technology by End Users
- Ronis, 1989, Attitudes, Decisions, and Habits as Determinants of Repeated Behavior
- Straub, 1989, The Importance of User Involvement in Successful Systems: A Meta-Analytical Reappraisal
- Thompson, 1967, Organizations in Action
Cited by
Sorted by citations
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Rezaeian, O., Bayrak, A. E., & Asan, O. (2026) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2025.2539458 · Cited by 39
Rezaeian, O., Bayrak, A. E., & Asan, O. (2025) · arXiv · doi:10.48550/arxiv.2501.16693 · Cited by 39
Mobile phone adoption: do existing models adequately capture the actual usage of older adults?
Gelderblom, H., van Dyk, T., & van Biljon, J. (2010) · Proceedings of the 2010 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists · doi:10.1145/1899503.1899511 · Cited by 38
Horan, T. A., Tulu, B., Hilton, B., & Burton, J. (2004) · 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the · doi:10.1109/hicss.2004.1265364 · Cited by 38
Lesselroth, B. J., Yang, J., McConnachie, J., Brenk, T., & Winterbottom, L. (2011) · BMJ Quality & Safety · doi:10.1136/bmjqs.2010.042689 · Cited by 37
The job perception inventory: Considering human factors and needs in the design of human-AI work
Berretta, S., Tausch, A., Peifer, C., & Kluge, A. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1128945 · Cited by 35
A Success Model for the Malaysian Government e-Procurement System: The Buyer Perspective
Kassim, E. S., & Hussin, H. (2013) · International Journal of Electronic Government Research · doi:10.4018/jegr.2013010101 · Cited by 34
Goswami, M., Jain, S., Alam, T., Deifalla, A. F., Ragab, A. E., & Khargotra, R. (2023) · Frontiers in Pharmacology · doi:10.3389/fphar.2023.1215706 · Cited by 33
Mobile Nursing Information System Utilization: The Task-Technology Fit Perspective
LIN, T.-C. (2014) · CIN Computers Informatics Nursing · doi:10.1097/cin.0000000000000039 · Cited by 32
Reunis, M. R. B., van Raaij, E. M., & Santema, S. C. (2004) · Journal of Purchasing and Supply Management · doi:10.1016/j.pursup.2004.10.002 · Cited by 30
Mwendwa, P. (2016) · Development in Practice · doi:10.1080/09614524.2016.1112769 · Cited by 30
Alwahaishi, S., & Snášel, V. (2013) · International Journal of E-Adoption · doi:10.4018/jea.2013040103 · Cited by 28
Acceptance of cloud computing in the Malaysian public sector: A proposed model
Amron, M. T., Ibrahim, R., Bakar, N. A. A., & Chuprat, S. (2019) · International Journal of Engineering Business Management · doi:10.1177/1847979019880709 · Cited by 28
University of South Alabama, Howard, M. C., Hair, J. F., & University of South Alabama (2023) · AIS Transactions on Human-Computer Interaction · doi:10.17705/1thci.00084 · Cited by 27
The effect of individual and task characteristics on decision aid reliance
Parkes, A. (2017) · Behaviour & Information Technology · doi:10.1080/0144929x.2016.1209242 · Cited by 26
What Factors Do Really Influence the Level of Technostress in Organizations?: An Empirical Study
Koo, C., & Wati, Y. (2011) · Studies in Computational Intelligence · doi:10.1007/978-3-642-19953-0_34 · Cited by 25
Cognitive bias and decision aid use under stressful conditions
Phillips-Wren, G., Jefferson, T., & McKniff, S. (2019) · Journal of Decision Systems · doi:10.1080/12460125.2019.1643695 · Cited by 22
Task type's effect on attitudes towards voice assistants
Sung, B., Im, H., & Duong, V. C. (2023) · International Journal of Consumer Studies · doi:10.1111/ijcs.12946 · Cited by 20
Data Quality as a Critical Success Factor for User Acceptance of Research Information Systems
Azeroual, O., Saake, G., Abuosba, M., & Schöpfel, J. (2020) · Data · doi:10.3390/data5020035 · Cited by 16
Sammel, A., Weir, K., & Klopper, C. (2014) · Creative Education · doi:10.4236/ce.2014.52017 · Cited by 14
Gatara, M., & Cohen, J. F. (2014) · Proceedings of the Southern African Institute for Computer Scientist and Information Technologists Annual Conference 2014 on SAICSIT 2014 Empowered by Technology · doi:10.1145/2664591.2664628 · Cited by 12
Sun, S., Xiong, C., & Chang, V. (2019) · International Journal of Enterprise Information Systems · doi:10.4018/ijeis.2019010102 · Cited by 11
Discovering the Impact of ERP (Enterprise Resource Planning) Adoption toward Employee Performance
Azizah, A., Fauzi, R., & Alam, P. (2020) · Proceedings of the First International Conference of Science, Engineering and Technology, ICSET 2019, November 23 2019, Jakarta, Indonesia · doi:10.4108/eai.23-11-2019.2301496 · Cited by 4
G., G., & G., P. (2025) · Problems and Perspectives in Management · doi:10.21511/ppm.23(4).2025.18 · Cited by 7
“Complementing these, the task-technology fit theory emphasizes that technology adoption is most effective when the capabilities of the technology align well with the specific tasks employees perform (Goodhue & Thompson, 1995).”
Cho, Y., & Szarek, J. L. (2025) · Medical Science Educator · doi:10.1007/s40670-025-02520-7 · Cited by 1
“…(TTF) theory emphasizes alignment between technology capabilities and specific user tasks as the primary driver of utilization and performance benefits [8, 9], while CoP theory demonstrates that educators learn more effectively through peer collaboration and shared practice development [10, 11].”
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
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