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.”
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Developing an Interdisciplinary Area of Economics and Human-Computer Interaction
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“(2 ) Ahuja and Thatcher (2005) defined “experimental innovation” as “discovering new uses for existing workplace IT.””
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Toward a theory of entrepreneurial orientation and technology fit in SMEs
Schenkel, M. T., Haug, A., Klyver, K., & Schlichter, J. (2025) · Journal of Small Business Management · doi:10.1080/00472778.2025.2461033 · Cited by 3
“…better equipped to deal with IT complexity by creating workarounds and tweaking systems (Boudreau & Robey, 2005), using “mix and match” approaches (Rice & Rogers, 1980), and making add-ons (Desouza, 2007) to leverage benefits and repurpose features in innovative ways (Ahuja & Thatcher, 2005).”
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“Previous studies demonstrated that overload negatively impacts performance [22] and the adoption and diffusion of technology [23].”
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PENELITIAN ASPEK BUDAYA PADA SISTEM INFORMASI
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Matheus, R., Saxena, S., & Alexopoulos, C. (2024) · International Journal of Information and Learning Technology · doi:10.1108/ijilt-08-2023-0139 · Cited by 3
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Understanding the role of webcare in the online buying service recovery context
Chen, Y., & Wu, I.-J. (2021) · Enterprise Information Systems · doi:10.1080/17517575.2021.1943761 · Cited by 3
“SEM analysis methods are often used in the field of IT research, so PLS are therefore widely used (Bock et al. 2005; Ahuja and Thatcher 2005).”
MethodTRYING TO BUY A NEW PRODUCT: WHAT DOES ADVERTISING DO NOWADAYS?
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The study of mobile game loyalty: The need gratification and flow experience approach
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Fostering employees' adoption of machine learning-enabled technologies in asset pricing
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Technology-push and need-pull roles in information system security diffusion
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“It considers insufficiently the full influence of environment, but the environment barriers could impede the innovation intentions of users (Ahuja and Thatcher, 2005).”
BackgroundInfluentialAn Examination of Factors That Influence Social Networking Community Participation Among Millennials
Ng, C. S.-P., & Lee, A. (2019) · International Journal of Technology Diffusion · doi:10.4018/ijtd.2019040103 · Cited by 2
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Almamy, A. S. M., Mishra, A., & Chowdhury, D. (2021) · International Journal of Customer Relationship Marketing and Management · doi:10.4018/ijcrmm.289211 · Cited by 2
“According to Ahuja and Thatcher (2005) and Chang et al. (2014), T-statistics was produced.”
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Effect of Gender on Willingness to Bid for Competitive and Uncertain Information Technology Work
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“In addition, the theory of trying was used to study the work environment, gender, and user’s ability to innovate with information technology [24].”
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“Ahuja and Thatcher (2005) found gender effects in the This is a NIVEL certified Post Print, more info at http://www.nivel.eu relationship between autonomy, work overload and trying to innovate using IT.”
Background
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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