Cited by 818Technology Adoption and User BehaviourInformation Systems Theories and ImplementationGender and Technology in Education

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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

Ahuja, Manju K., Bennett, Jason·2005·MIS Quarterly

DOI 10.2307/25148691

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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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The performance effects of coaching: a multilevel analysis using hierarchical linear modeling
Agarwal, R., Angst, C. M., & Magni, M. (2009) · The International Journal of Human Resource Management · doi:10.1080/09585190903178054 · Cited by 169
“However, the significance of this difference can be statistically assessed by calculating a t-statistic for comparing the difference in coefficients across models (Ahuja and Thatcher 2005).”
Method
Technological Frames, Organizational Capabilities, and IT Use: An Empirical Investigation of Electronic Procurement
Mishra, A. N., & Agarwal, R. (2009) · Information Systems Research · doi:10.1287/isre.1080.0220 · Cited by 150
“phenomenon is necessary because research on postadoption use of IT is generally lacking in the literature (Ahuja and Thatcher 2005, Jasperson et al. 2005). Furthermore, the interaction effects of firm capabilities and managerial cognition on different stages of IT adoption have not been explored. Our research model ex…”
Background
Does gender matter in cyberbullying perpetration? An empirical investigation
Wong, R. Y. M., Cheung, C. M. K., & Xiao, B. S. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.10.022 · Cited by 159
Herd behavior in consumers’ adoption of online reviews
Shen, X., Zhang, K. Z. K., & Zhao, S. J. (2015) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23602 · Cited by 154
User Service Innovation on Mobile Phone Platforms: Investigating Impacts of Lead Userness, Toolkit Support, and Design Autonomy1
Ye, H. (., & Kankanhalli, A. (2018) · MIS Quarterly · doi:10.25300/misq/2018/12361 · Cited by 138
An Assessment of Formative and Reflective Constructs in IS Research
Freeze, R. D., & Raschke, R. L. (2007) · Journal of the Association for Information Systems · Cited by 136
The Influence of Individual, Contextual, and Social Factors on Perceived Behavioral Control of Information Technology: A Field Theory Approach
Elie-Dit-Cosaque, C. M., Pallud, J., & Kalika, M. (2011) · Journal of Management Information Systems · doi:10.2753/mis0742-1222280306 · Cited by 149
“Following Sales [78], ahuja and thatcher [2] distinguished a quantitative and a qualitative dimension to overload in their study.”
BackgroundInfluential
Facilitators and Barriers of Artificial Intelligence Adoption in Business – Insights from Opinions Using Big Data Analytics
Kar, A. K., & Kushwaha, A. K. (2023) · Information Systems Frontiers · doi:10.1007/s10796-021-10219-4 · Cited by 182
“The conventional IS lens has dominated the work of scholars understanding the IS adoption from an individual’s perception of how technology is adopted (Kim & Kankanhalli, 2009; Ahuja & Thatcher, 2005; Wang et al., 2013).”
Inducing Intrinsic Motivation to Explore the Enterprise System: The Supremacy of Organizational Levers
Ke, W., Tan, C., Sia, C. L., & Wei, K. (2012) · Journal of Management Information Systems · doi:10.2753/mis0742-1222290308 · Cited by 133
Information Technology Identity: A Key Determinant of IT Feature and Exploratory Usage
Carter, M., Petter, S., Grover, V., & Thatcher, J. B. (2020) · MIS Quarterly · doi:10.25300/misq/2020/14607 · Cited by 143
What's the Weather Like? The Effect of Team Learning Climate, Empowerment Climate, and Gender on Individuals' Technology Exploration and Use
Maruping, L. M., & Magni, M. (2012) · Journal of Management Information Systems · doi:10.2753/mis0742-1222290103 · Cited by 129
Factors influencing online auction repurchase intention
Yen, C., & Lu, H. (2008) · Internet Research · doi:10.1108/10662240810849568 · Cited by 127
“Recently, there has been an increase in research concerned with post adoption or “continued usage” (e.g. Bhattacherjee and Premkumar, 2004; Ahuja and Thatcher, 2005; Hsu et al., 2006) rather than the concept of “acceptance” (e.g. technology acceptance model, TAM).”
Background
Motivating Employees to Explore Collaboration Technology in Team Contexts1
Maruping, L. M., & Magni, M. (2015) · MIS Quarterly · doi:10.25300/misq/2015/39.1.01 · Cited by 126
Understanding purchasing behaviors in a virtual economy: Consumer behavior involving virtual currency in Web 2.0 communities
Shin, D. (2008) · Interacting with Computers · doi:10.1016/j.intcom.2008.04.001 · Cited by 141
Choosing a Fit Technology: Understanding Mindfulness in Technology Adoption and Continuance
Sun, H., Fang, Y., & Zou, H. (2016) · Journal of the Association for Information Systems · doi:10.17705/1jais.00431 · Cited by 143
“In this regard, MTA leads to better alignments between the technology and the task (i.e., TTF) (Ahuja & Thatcher, 2005; Barki, Titah, & Boffo, 2007; Boudreau & Robey, 2005; Jasperson et al., 2005; Saga & Zmud, 1994).”
Method
Motivating users toward continued usage of information systems: Self-determination theory perspective
Rezvani, A., Khosravi, P., & Dong, L. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.07.032 · Cited by 129
The role of theory in gender and information systems research
Trauth, E. M. (2013) · Information and Organization · doi:10.1016/j.infoandorg.2013.08.003 · Cited by 133
Explaining adoption of mobile banking with the theory of trying, general self-confidence, and cynicism
Chaouali, W., Souiden, N., & Ladhari, R. (2016) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2016.11.009 · Cited by 122
“…(Bagozzi et al., 2004), student retention in education (Bay and Daniel, 2003), value co-creation (Xie et al., 2008), self-regulation of body weight and hypertension (Agarwal and Agarwal, 2003; Taylor et al., 2001, 2006), and technology adoption (Ahuja and Thatcher, 2005; Reinders et al., 2008).”
Background
Employees’ Exploration of Complex Systems: An Integrative View
Liang, H., Peng, Z. C., Xue, Y., Guo, X., & Wang, N. (2015) · Journal of Management Information Systems · doi:10.1080/07421222.2015.1029402 · Cited by 126
“Third, as already mentioned, because system exploration by nature is innovative [5, 49], we intend to investigate how the organizational environment affects system exploration, and innovation climate is an environmental factor that will naturally and logically affect system exploration.”
BackgroundInfluential
A dual systems model of online impulse buying
Xu, H., Zhang, K. Z. K., & Zhao, S. J. (2020) · Industrial Management & Data Systems · doi:10.1108/imds-04-2019-0214 · Cited by 154
Examining the Cultural Differences in Acceptance of Mobile Augmented Reality: Comparison of South Korea and Ireland
Lee, H., Chung, N., & Jung, T. H. (2014) · Springer eBooks · doi:10.1007/978-3-319-14343-9_35 · Cited by 115
Key values driving continued interaction on brand pages in social media: An examination across genders
Shi, S., Chen, Y., & Chow, W. S. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.04.017 · Cited by 116
The IT Identity Threat: A Conceptual Definition and Operational Measure
Craig, K., Thatcher, J. B., & Grover, V. (2019) · Journal of Management Information Systems · doi:10.1080/07421222.2018.1550561 · Cited by 131
“gained from IT investment depends on individuals making use of a successfully implemented IT [1, 40].”
Background
How and why trust matters in post-adoptive usage: The mediating roles of internal and external self-efficacy
Tams, S., Thatcher, J. B., & Craig, K. (2017) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2017.07.004 · Cited by 118
Antecedents of computer self-efficacy: A study of the role of personality traits and gender
Saleem, H., Beaudry, A., & Croteau, A. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2011.04.017 · Cited by 114
“Following Ahuja and Thatcher (2005), a preliminary analysis was conducted to check for any significant differences between the male (n = 66) and the female subgroups (n = 77).”
Effects of gender and personality differences on students’ perception of game design elements in educational gamification
Denden, M., Tlili, A., Essalmi, F., Jemni, M., Chen, N., & Burgos, D. (2021) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2021.102674 · Cited by 130
The impact of smart tourism technology and domestic travelers' technology readiness on their satisfaction and behavioral intention: A c ross‐country comparison
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Explaining consumer satisfaction of services: The role of innovativeness and emotion in an electronic mediated environment
Dai, H., Luo, X. R., Liao, Q., & Cao, M. (2014) · Decision Support Systems · doi:10.1016/j.dss.2014.12.003 · Cited by 110
“The IS literature suggests that trying to innovate with IT artifacts has already been acknowledged as a volitional post-adoption measure in studying IT adoption [3].”
Background
The Diffusion of Government Microblogging
Ma, L. (2012) · Public Management Review · doi:10.1080/14719037.2012.691010 · Cited by 107
A test for multigroup comparison using partial least squares path modeling
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Justifying business intelligence systems adoption in SMEs
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From ambidextrous learning to digital creativity: An integrative theoretical framework
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“Male employees engage in exploration of collaboration technologies in an autonomous task environment (Ahuja & Thatcher, 2005; Maruping & Magni, 2012), while the exploration behaviours of female employees are driven by social activities, such as information exchange and knowledge sharing among peers…”
BackgroundMethodInfluential
Exhaustion from Information System Career Experience: Implications for Turn-Away Intention1
Armstrong, D. J., Brooks, N. G., & Riemenschneider, C. K. (2015) · MIS Quarterly · doi:10.25300/misq/2015/39.3.10 · Cited by 99

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
DOI: 10.2307/25148691
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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Moving Beyond Intentions and Toward The Theory of Trying: Effects of Work Environment and Gender on Post-Adoption Information Technology Use1

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