Explaining the Role of User Participation in Information System Use
Abstract
Even though user participation in information system development has long been considered to be a critical factor in achieving system success, research has failed to clearly demonstrate its benefits. This paper proposes user involvement as an intervening variable between user participation and system use. Embedding the constructs of participation and involvement into the theoretical framework of Fishbein and Ajzen, a model is developed and tested in a field study of information system projects. Several key findings emerge from the study. User participation and user involvement represent two distinct constructs, with participation leading to involvement, and involvement mediating the relationship between participation and system use. The critical dimension of user participation is overall responsibility. The role of user participation and involvement is different, depending upon whether system use is mandatory or voluntary.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Cites
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483 · see citing works
Comparative fit indexes in structural models.
Bentler, P. M. (1990) · Psychological Bulletin · doi:10.1037/0033-2909.107.2.238 · Cited by 25,266 · see citing works
From Intentions to Actions: A Theory of Planned Behavior
Ajzen, I. (1985) · Action Control · doi:10.1007/978-3-642-69746-3_2 · Cited by 19,057 · see citing works
The Elaboration Likelihood Model of Persuasion
Petty, R. E., & Cacioppo, J. T. (1986) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(08)60214-2 · Cited by 8,822 · see citing works
Attitude-behavior relations: A theoretical analysis and review of empirical research
Ajzen, I., & Fishbein, M. (1977) · Psychological Bulletin · doi:10.1037/0033-2909.84.5.888 · Cited by 7,611 · see citing works
Bem, D. J. (1972) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(08)60024-6 · Cited by 5,241 · see citing works
A New Model for Predicting Behavioral Intentions: An Alternative to Fishbein
Warshaw, P. R. (1980) · Journal of Marketing Research · doi:10.1177/002224378001700201 · Cited by 340 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
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 · see citing works
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 · see citing works
Understanding information technology usage: a test of competing models
Taylor, S., & Todd, P. A. (1995) · Information Systems Research · doi:10.1287/isre.6.2.144 · Cited by 8,815 · see citing works
Understanding Information Systems Continuance: An Expectation-Confirmation Model1
Bhattacherjee, A. (2001) · MIS Quarterly · doi:10.2307/3250921 · Cited by 8,767 · see citing works
Technology Acceptance Model 3 and a Research Agenda on Interventions
Venkatesh, V., & Bala, H. (2008) · Decision Sciences · doi:10.1111/j.1540-5915.2008.00192.x · Cited by 8,159 · see citing works
Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003) · Information Systems Research · doi:10.1287/isre.14.2.189.16018 · Cited by 6,479 · see citing works
Task-Technology Fit and Individual Performance
Goodhue, D. L., & Thompson, R. L. (1995) · MIS Quarterly · doi:10.2307/249689 · Cited by 6,006 · see citing works
Assessing IT Usage: The Role of Prior Experience
Taylor, S., & Todd, P. (1995) · MIS Quarterly · doi:10.2307/249633 · Cited by 2,891 · see citing works
Examining the technology acceptance model using physician acceptance of telemedicine technology
Hu, P. J., Chau, P. Y. K., Sheng, O. R. L., & Tam, K. Y. (1999) · Journal of Management Information Systems · doi:10.1080/07421222.1999.11518247 · Cited by 1,951 · see citing works
Information technology acceptance by individual professionals: a model comparison approach
Chau, P. Y. K., & Hu, P. J. (2001) · Decision Sciences · doi:10.1111/j.1540-5915.2001.tb00978.x · Cited by 1,409 · see citing works
Extending the technology acceptance model: the influence of perceived user resources
Mathieson, K., Peacock, E., & Chin, W. W. (2001) · ACM SIGMIS Database: the DATABASE for Advances in Information Systems · doi:10.1145/506724.506730 · Cited by 1,099 · see citing works
Critical success factors for e-learning acceptance: Confirmatory factor models
Selim, H. M. (2007) · Computers & Education · doi:10.1016/j.compedu.2005.09.004 · Cited by 1,055 · see citing works
An extension of the technology acceptance model in an ERP implementation environment
Amoako-Gyampah, K., & Salam, A. F. (2004) · Information & Management · doi:10.1016/j.im.2003.08.010 · Cited by 922 · see citing works
Dead Or Alive? The Development, Trajectory And Future Of Technology Adoption Research.
University of Arkansas, Venkatesh, V., Davis, F., University of Arkansas, Morris, M., & University of Virginia (2007) · Journal of the Association for Information Systems · doi:10.17705/1jais.00120 · Cited by 789 · see citing works
Chau, P. Y. K., & Hu, P. J. (2002) · Journal of Management Information Systems · doi:10.1080/07421222.2002.11045699 · Cited by 707 · see citing works
Information System Success: Individual and Organizational Determinants
Sabherwal, R., Jeyaraj, A., & Chowa, C. (2006) · Management Science · doi:10.1287/mnsc.1060.0583 · Cited by 685 · see citing works
User acceptance of YouTube for procedural learning: An extension of the Technology Acceptance Model
Lee, D. Y., & Lehto, M. R. (2013) · Computers & Education · doi:10.1016/j.compedu.2012.10.001 · Cited by 565 · see citing works
The adoption of information technology in the sales force
Schillewaert, N., Ahearne, M. J., Frambach, R. T., & Moenaert, R. K. (2005) · Industrial Marketing Management · doi:10.1016/j.indmarman.2004.09.013 · Cited by 362 · see citing works
Senior citizens’ acceptance of information systems: A study in the context of e-government services
Phang, C. W., Sutanto, J., Kankanhalli, A., Li, Y., Tan, B. C. Y., & Teo, H.-H. (2006) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2006.883710 · Cited by 331 · see citing works
Rai, A., Maruping, L. M., & Venkatesh, V. (2009) · MIS Quarterly · doi:10.2307/20650313 · Cited by 311 · see citing works
A feedback model to understand information system usage
Bajaj, A., & Nidumolu, S. R. (1998) · Information & Management · doi:10.1016/s0378-7206(98)00026-3 · Cited by 266 · see citing works
Hwang, H.-G., Ku, C.-Y., Yen, D. C., & Cheng, C.-C. (2004) · Decision Support Systems · doi:10.1016/s0167-9236(02)00191-4 · Cited by 228 · see citing works
Pare, G., Sicotte, C., & Jacques, H. (2006) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1930 · Cited by 222 · see citing works
Michaelis, B., Stegmaier, R., & Sonntag, K. (2010) · Journal of Managerial Psychology · doi:10.1108/02683941011035304 · Cited by 219 · see citing works
Michaelis, B., Stegmaier, R., & Sonntag, K. (2009) · Journal of Change Management · doi:10.1080/14697010903360608 · Cited by 216 · see citing works
Kohnke, A., Cole, M. L., & Bush, R. (2014) · Journal of technology management & innovation · doi:10.4067/s0718-27242014000200003 · Cited by 181 · see citing works
Toward a better understanding of behavioral intention and system usage constructs
Wu, J., & Du, H. (2012) · European Journal of Information Systems · doi:10.1057/ejis.2012.15 · Cited by 175 · see citing works
Persuasiveness of expert systems
Dijkstra, J. J., Liebrand, W. B. G., & Timminga, E. (1998) · Behaviour & Information Technology · doi:10.1080/014492998119526 · Cited by 161 · see citing works
When computers take the lead: The automation of leadership
Wesche, J. S., & Sonderegger, A. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.07.027 · Cited by 157 · see citing works
Ma, S., & Lei, L. (2024) · Asia Pacific Journal of Education · doi:10.1080/02188791.2024.2305155 · Cited by 148 · see citing works
Adopting AI: how familiarity breeds both trust and contempt
Horowitz, M. C., Kahn, L., Macdonald, J., & Schneider, J. (2024) · AI & SOCIETY · doi:10.1007/s00146-023-01666-5 · Cited by 135 · see citing works
E. Koh, C., R. Prybutok, V., D. Ryan, S., & Andy" Wu, Y. (2010) · Informing Science: The International Journal of an Emerging Transdiscipline · doi:10.28945/1326 · Cited by 120 · see citing works
Clinton-McHarg, T., Yoong, S. L., Tzelepis, F., Regan, T., Fielding, A., Skelton, E., Kingsland, M., Ooi, J. Y., & Wolfenden, L. (2016) · Implementation Science · doi:10.1186/s13012-016-0512-5 · Cited by 116 · see citing works
Do cultural dimensions differentiate ERP acceptance? A study in the context of Saudi Arabia
Alhirz, H., & Sajeev, A. S. M. (2015) · Information Technology & People · doi:10.1108/itp-07-2013-0127 · Cited by 62 · see citing works
Artificial Intelligence and Groups: Effects of Attitudes and Discretion on Collaboration
Bezrukova, K., Griffith, T. L., Spell, C., Rice, V., & Yang, H. E. (2023) · Group & Organization Management · doi:10.1177/10596011231160574 · Cited by 51 · see citing works
Kifle, M., Payton, F. C., Mbarika, V., & Meso, P. (2010) · Telemedicine and e-Health · doi:10.1089/tmj.2009.0008 · Cited by 51 · see citing works
Understanding adherence to web-based interventions
Kelders, S. M. (2012) · doi:10.3990/1.9789036534178 · Cited by 29 · see citing works
- Authors
- Hartwick, J., & Barki, H.
- Affiliations
- McGill University (CA)
- HEC Montréal (CA)
- ORCID
- Barki, Henri
- Venue
- Management Science
- Published
- 1994-04
- Volume
- 40
- Issue
- 4
- Pages
- 440-465
- ISSN
- 0025-1909 (ISSN-L)
- 1526-5501
- OpenAlex
- W2108617106
- Cited by
- 1,540
- References
- 7
- Citations by year
- 2026: 7 · 2025: 25 · 2024: 28 · 2023: 32 · 2022: 46 · 2021: 41 · 2020: 43 · 2019: 39 · 2018: 64 · 2017: 48 · 2016: 57 · 2015: 68 · 2014: 66 · 2013: 79 · 2012: 87
- FWCI
- 74.71
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Management Science (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Sociology and Political Science › Information Systems Theories and Implementation
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Keywords
- user participation, information system use, system success, user responsibility, information systems projects, mediation
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 ›
Are you an author, or do you see a problem with this page? Request a review
