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Moving Beyond Intentions and Toward The Theory of Trying: Effects of Work Environment and Gender on Post-Adoption Information Technology Use1
Abstract
Grounded in the theory of trying, this study examines the influence of the work environment and gender on trying to innovate with information technology. The study extends the innovation diffusion literature by offering a theory-driven explanation for examining trying to innovate with IT and a parsimonious measure for this construct. Drawing on the theory of reasoned action, we argue that work environment impediments render intentions inadequate for examining post-adoption IT use. Instead of examining intentions, we introduce the goal-based construct of trying to innovate with IT as an appropriate dependent variable for examining post-adoption IT use. Statistical analysis supports the reliability and validity of a parsimonious measure of trying to innovate with IT. The study focuses on two research questions. First, do perceptions of the work environment such as overload and autonomy influence individuals’ trying to innovate with IT? Second, does gender influence the relationship between perceptions of the environment and trying to innovate with IT? The model articulates how perceptions of the environment moderated by gender may influence trying to innovate with IT. Results provide evidence that overload and autonomy are antecedents to trying to innovate with information technology. Further, findings confirm that autonomy interacts with overload to determine trying to innovate with IT and that these relationships vary by gender. Implications for research and practice are offered.
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“Furthermore, based on evidence indicating that workload and autonomy influence innovation adoption [35], low job control and high job demands were also introduced as moderators.”
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Cited by
Sorted by citations
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
“Further, employees may perceive that the complexity of a new system will add quantitative and qualitative overload to their jobs and reduce autonomy and control over their work environment (Ahuja & Thatcher, 2005).”
BackgroundRagu-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
Structural Equation Modeling in Information Systems Research Using Partial Least Squares
Urbach, N., & Ahlemann, F. (2010) · The Journal of Information Technology Theory and Application · Cited by 1,659
Demographic differences in perceived benefits from gamification
Koivisto, J., & Hamari, J. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.03.007 · Cited by 841
“On a general level, women have been considered to be less likely to enjoy and use computers and information technology (Ahuja & Thatcher, 2005).”
BackgroundZhang, K. Z. K., Zhao, S. J., Cheung, C. M. K., & Lee, M. K. O. (2014) · Decision Support Systems · doi:10.1016/j.dss.2014.08.005 · Cited by 781
“PLS is a robust and frequently adopted technique in the IS literature [1,30,77].”
Method
Metadata
- Authors
- Ahuja, M. K., & Bennett, J.
- Affiliations
- Indiana University Bloomington (US)
- Department of Management, College of Business and Behavioral Science, Clemson University, 101 Sirrine Hall, Clemson, SC 29634-1305, U.S.A.
- ORCID
- Ahuja, Manju K.
- Venue
- MIS Quarterly
- Publisher
- MIS Quarterly
- Published
- 2005-09-01
- Volume
- 29
- Issue
- 3
- Pages
- 427-460
- ISSN
- 0276-7783 (ISSN-L)
- 2162-9730
- OpenAlex
- W1758167268
- Cited by
- 818
- References
- 133
- Citations by year
- 2026: 21 · 2025: 29 · 2024: 37 · 2023: 23 · 2022: 43 · 2021: 39 · 2020: 45 · 2019: 41 · 2018: 44 · 2017: 54 · 2016: 49 · 2015: 60 · 2014: 45 · 2013: 48 · 2012: 42
- FWCI
- 55.17
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- MIS Quarterly (publishedVersion)
- 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 › Gender Studies › Gender and Technology in Education
- Keywords
- work environment, gender differences, IT innovation, employee autonomy, diffusion of innovations, theory of reasoned action, moderating effect
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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.
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