The DOI matches its Crossref record; 134 of the 134 references it cites were found in a registry or an index.
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.”
Citations
Cites
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
Statistical Power Analysis for the Behavioral Sciences (2nd ed.).
Lachenbruch, P. A., & Cohen, J. (1989) · Journal of the American Statistical Association · doi:10.2307/2290095 · Cited by 37,421
(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737
“Stress: appraisal and coping,”
Folkman, S. (2013) · Encyclopedia of Behavioral Medicine · doi:10.1007/978-1-4419-1005-9_215 · Cited by 27,833
User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709
Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences
Cohen, P., Cohen, P., West, S. G., & Aiken, L. S. (2014) · Psychology Press eBooks · doi:10.4324/9781410606266 · Cited by 20,870
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
Self-efficacy mechanism in human agency
Bandura, A. (1982) · American Psychologist · doi:10.1037/0003-066x.37.2.122 · Cited by 15,975
Culture's Consequences: International Differences in Work-Related Values.
Sorge, A. M., & Hofstede, G. (1983) · Administrative Science Quarterly · doi:10.2307/2393017 · Cited by 15,195
Job Demands, Job Decision Latitude, and Mental Strain: Implications for Job Redesign
Karasek, R. A. (1979) · Administrative Science Quarterly · doi:10.2307/2392498 · Cited by 12,597
Flagged first, then by citations
Research works printed but not linked: 22
- Agarwal, 2000, Individual Acceptance of Information Technologies, 85
- Barclay, 1995, The Partial Least Squares (PLS) Approach to Causal Modeling: Personal Computer Adoption and Use an Illustration, Technology Studies, 2, 285
- Camman, 1979, The Michigan Organizational Assessment Questionnaire
- Chin, 1998, The Partial Least Squares Approach to Structural Equation Modeling, 295
- Clarke, 1992, Strategies for Involving Girls in Computer Science, 71
- Cohen, 1988, Statistical Power Analysis for the Behavioral Sciences
- Fullerton, 2001, Labor Force Projections to 2010: Steady Growth and Changing Composition, Monthly Labor Review, 21
- Goff, 2001, Balancing Acts, Computerworld, 35, 49
- Hackman, 1975, Work Redesign
- Hofstede, 1991, Organizations and Cultures: Software of the Mind
- ITAA, 2000, Building the 21st Century Information Technology Work Force: Underrepresented Groups in the Information Technology Workforce
- Kahn, 1994, Stress in Organizations, 571
- Kahn, 1964, Organizational Stress: Studies in Conflict
- King, 2003, On-the-Fly IT, Computerworld, 37, 35
- Linn, 1982, Ability Testing: Individual Differences, Prediction, and Differential Prediction, 355
- Maitland, 2001, A Long-Term Solution to the ITSkills Shortage, Financial Times, 9
- Oakley, 1972, Sex, Gender and Society
- Seashore, 1982, Observing and Measuring Organizational Change: A Guide to Field Practice
- Sejwacz, 1980, Predicting and Understanding Weight Loss: Intentions, Behaviors, and Outcomes, 101
- Simon, 1957, Administrative Behavior
- Smith, 1986, Relationships of Computer Attitudes to Sex, Grade Level, and Teacher Influence, Education, 106, 338
- Stone-Romero, 1988, Moderator Variables in Research: A Review and Analysis of Conceptual and Methodological Issues, Research in Personnel and Human Resources Management, 191
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“Ahuja and Thatcher (2005) alternatively view user innovation as the finding of new uses of existing IT.”
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BackgroundGurley, K., & Norcio, A. F. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-21663-3_17 · Cited by 2
“Some research has demonstrated that genders have different perspectives when it comes to technology [13, 14 , 15].”
BackgroundThree Essays on Information Privacy of Mobile Users in the Context of Mobile Apps
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“Extant research has drawn on innovation diffusion theory (IDT) to examine the adoption and usage of IT (Agarwal and Prasad, 1998a; Ahuja and Thatcher, 2005).”
BackgroundFacilitators and Barriers to User Adoption of Electronic Health Record Systems
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“…See, for example, Acquisti and Fong (2019) in the context of hiring discrimination; Atasoy, Banker and Pavlov (2021) in the context of IT skills and employment; Ahuja and Thatcher (2005) in the context of workplace environment; and Mejia and Parker (2021) in the context of ridesharing platforms.”
Emerging Digital Technologies and Women's Leadership in Global Business
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“However, sex differences in technology use and learning have been observed, with males showing more interest in using computers and technologies than females [2,3].”
BackgroundVery rich usage of information systems: a longitudinal study of video conferencing applications
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BackgroundPerez, G. (2013) · International Journal of Auditing Technology · doi:10.1504/ijaudit.2013.052260 · Cited by 1
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Ebner, K., Bassellier, G., & Smolnik, S. (2021) · Business Information Systems · doi:10.52825/bis.v1i.50 · Cited by 1
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Eschenbrenner, B., & Nah, F. F. (2008) · Journal of the Association for Information Systems · Cited by 1
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Alboloushi, B. (2020) · White Rose eTheses Online (University of Leeds, The University of Sheffield, University of York) · Cited by 1
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NAVIGATING PERSONAL CONTROL: AI AUGMENTATION AND ITS IMPACT ON DECISION-MAKINGPreprint
Tosetto, D., Mortara, L., Leeb, C. M., & Vinelli, A. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6416937 · Cited by 1
Bi, R. (2015) · RMIT Research Repository (RMIT University Library) · doi:10.25439/rmt.27582720 · Cited by 1
Kim, M., Jeon, M., Lee, Y., Lee, S., Kim, H., & Jung, D. (2025) · Journal of Medical Internet Research · doi:10.2196/81803
Usage Diversity, Task Interdependence and Group Innovation
Luo, Y., Zhang, C., & Xu, Y. C. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-20895-4_67
“Second, users engage in explorative IS use by experimenting with new features and apply them innovatively to enhance their job performance [7, 14].”
BackgroundHill, K. M., Tams, S., & Thatcher, J. B. (2015) · Journal of the Association for Information Systems
Examining Gender Differences in System Switching Costs
Dang, Y. M., Morgan, J. N., & Zhang, Y. (2015) · Journal of the Association for Information Systems
Exploring the Role of Gender on Bloggers' Switching Behaviors
Zhang, K. Z. K., Cheung, C. M. K., Lee, M., & Chen, H. (2008) · Journal of the Association for Information Systems
Rashid, A. (2012) · Tuwhera (Auckland University of Technology)
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
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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