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
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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