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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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“Many prior studies (Venkatesh et al., 2003; Ahuja and Thatcher, 2005; Ilie et al., 2005) have demonstrated the important moderating effects of gender differences on technology adoption and use.”
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“Most prior research on the innovative use of IT focused on individual roles with the perspective of reasoned action theory [118], motivation theory [119], effective use and adaptive structuration theory [120], and absorptive capacity theory [121], ignoring other characteristics.”
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Exploration and Exploitation of Information Systems Usage and Individual Performance
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“So more attention has been paid recently to post-acceptance usage, for example, routine usage, extended usage and innovative usage [4, 6].”
InfluentialAn Integrated Temporal Model of Belief and Attitude Change: An Empirical Test With the iPad
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“To test the hypotheses, we follow Chin (2000) in using the t-test procedure to assess statistical differences in path coefficients for each pair of paths (e.g., Ahuja & Thatcher, 2005; Hsieh, Rai, & Keil, 2008; Setterstrom et al., 2013).”
MethodGuo, Y., Wang, C., & Feng, Y. (2018) · Behaviour and Information Technology · doi:10.1080/0144929x.2018.1534988 · Cited by 19
“Indeed, other authors since then have used terms ‘ innovative use ’ (Li et al. 2013; Roberts et al. 2016; Huang et al. 2018) and ‘ trying to innovate using IT ’ (Ahuja and Thatcher 2005), and ‘ innovation in IT use ’ (Nambisan et al. 1999) to convey the similar concept.”
BackgroundInfluentialOnline prejudice and barriers to digital innovation: Empirical investigations of Chinese consumers
Che, T., Peng, Z. C., Lai, F., & Luo, X. R. (2021) · Information Systems Journal · doi:10.1111/isj.12323 · Cited by 19
“We used the method proposed in Ahuja and Thatcher (2005) and Zhang et al. (2009) to compare the results across subgroups (i.e., experience products vs. search products).”
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On the benefits of consumer IT in the workplace—An IT empowerment perspective
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Impact of Transformational Leadership on System Exploration in the Mandatory Organizational Context
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Autonomy and procedural justice in strategic systems planning
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“…(Mumford & Henshall, 1979; Mumford et al ., 1983; Ives & Olson, 1984; Hunton, 1996a,b; Hunton & Beeler, 1997; Hunton & Price, 1997; Moore, 2000; Ahuja & Thatcher, 2005), though none of these researchers explicitly applied job characteristics theory and only Hunton’s and his co-authors’…”
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Gender differences in the antecedents of trust in mobile social networking services
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“…paths and coefficients of the corresponding paths for the subsamples (female sample vs. male sample) and then determine the discrepancies in the effects of the significant paths (i.e. ST→TRU, REP →TRU and SA→TRU) between the female and male samples (Ahuja & Thatcher, 2005; Qureshi & Compeau, 2009).”
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Hassandoust, F., Techatassanasoontorn, A. A., & Tan, F. B. (2023) · Information Systems Frontiers · doi:10.1007/s10796-023-10378-6 · Cited by 19
Akbari, M., Danesh, M., Moumenihelali, H., & Rezvani, A. (2022) · Education and Information Technologies · doi:10.1007/s10639-022-11457-y · Cited by 20
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Li, Z., Wang, G., & Wang, H. J. (2021) · MIS Quarterly · doi:10.25300/misq/2021/16085 · Cited by 18
EXPLORING THE FACTORS AFFECTING EMPLOYEES’ ADOPTION AND USE OF INNOVATION
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“Numerous prior studies examined the possible drivers of innovation adoption using quantitative data (Ahuja & Thatcher, 2005; Al-Gahtani & King, 1999; Chang & Cheung, 2001; Cheung, Chang, & Lai, 2000; Igbaria, Guimaraes, & Davis, 1995; Igbaria, Zinatelli, Cragg, & Cavaye, 1997; Jasperson, Carter, &…”
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“One important observation made in these studies is that the gendered perception of technologies is strongly dependent on their different applications and working environment (Ahuja and Thatcher, 2005).”
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Nikou, S., Mezei, J., & Brännback, M. E. (2018) · Telematics and Informatics · doi:10.1016/j.tele.2017.12.019 · Cited by 20
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Maas, J., van Fenema, P. C., & Soeters, J. L. (2018) · Information Systems Management · doi:10.1080/10580530.2018.1503804 · Cited by 21
“Examples of such variables are autonomy, task identity, task significance (Pao-Long & Lung, 2002) and quantitative overload (Ahuja & Thatcher, 2005).”
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Innovating with Technology: The Impact of Overload, Autonomy, and Work and Family Conflict
Pearson, A. M., Pearson, J., & Griffin, C. (2009) · Journal of the Association for Information Systems · Cited by 18
A Comparative Study of the Effects of Low and High Uncertainty Avoidance on Continuance Behavior
Kim, H., Choi, H. S., & Kim, J. (2010) · Journal of Global Information Management · doi:10.4018/jgim.2010040101 · Cited by 18
System deep usage in post-acceptance stage: a literature review and a new research framework
Wang, W., & Butler, J. E. (2006) · International Journal of Business Information Systems · doi:10.1504/ijbis.2006.008959 · Cited by 18
“Based on the Saga and Zmud’s (1994) study, Ahuja and Thatcher (2005) extended the innovation diffusion literature by offering a theory-driven explanation for examining trying to innovate with IT.”
BackgroundA multilevel investigation on antecedents for employees’ exploration of enterprise systems
Peng, Z. C., & Guo, X. (2019) · European Journal of Information Systems · doi:10.1080/0960085x.2019.1589964 · Cited by 18
“For instance, Ahuja and Thatcher (2005) proposed that job autonomy is positively related to system exploration, while work overload can prevent users from partaking in system exploration.”
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Agarwal, R., Angst, C. M., & Magni, M. (2006) · SSRN Electronic Journal · doi:10.2139/ssrn.918810 · Cited by 18
Who Uses Mobile Apps Frequently on Vacation? Evidence from Tourism in Switzerland
Beier, M., & Aebli, A. (2016) · Springer eBooks · doi:10.1007/978-3-319-28231-2_40 · Cited by 17
Cao, C., Hu, Y., & Xu, H. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.856283 · Cited by 19
“Exploratory usage of IPAs belongs to such type of deeply-involved post-adoption behaviors and refers to using newly added skills of IPAs or using some other skills beyond their routine usage (Nambisan et al., 1999; Ahuja and Thatcher, 2005).”
BackgroundFROM ACCEPTANCE TO OUTCOME: TOWARDS AN INTEGRATIVE FRAMEWORK FOR INFORMATION TECHNOLOGY ADOPTION
Sorgenfrei, C., Ebner, K., Smolnik, S., & Jennex, M. E. (2014) · Journal of the Association for Information Systems · Cited by 17
The Same Wine but in New Bottles. Public E-Services Divide and Low Citizens’ Satisfaction
Harfouche, A. (2010) · International Journal of Electronic Government Research · doi:10.4018/jegr.2010070106 · Cited by 17
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“In addition, factors including task complexity, task overload, and matching tasks to individuals’ skill will also affect users’ innovative use of IT [12], [14], [30], [31].”
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“Users are motivated to improve management control to deal with time pressures imposed by the job (Ahuja & Thatcher, 2005; Amabile, 1997; Kraemer & Danziger, 1990).”
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Understanding the Chinese information culture and its impact on IT perceptions
Chen, L., Zhang, X., & Li, Z. (2019) · Information Technology and People · doi:10.1108/itp-03-2018-0128 · Cited by 17
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“In addition to individual level factors such as expertise and cognitive style, other factors such as demographic characteristics ( Ahuja and Thatcher 2005 ), gatekeepers’ goal orientation (Vandewalle 1997), the perceived support provided by the gatekeeper’s supervisor, the norms and social constraints of the organizat…”
BackgroundSpecifying Formative Constructs in Information Systems Research1
Petter, S., Straub, D., & Rai, A. (2007) · MIS Quarterly · doi:10.2307/25148814 · Cited by 32
Demographic differences and internet banking acceptance
Li, H., & Lai, M. M. (2011) · Northumbria Research Link (Northumbria University) · Cited by 16
Chai, S. (2020) · Sustainability · doi:10.3390/su12198286 · Cited by 16
“It investigated whether the differences in path coefficients on the relationships between each construct are significant or not based on the research of [42].”
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Managing Stressors Faced by Cost Engineers
Ling, F. Y. Y., & Goh, X. (2017) · Journal of Professional Issues in Engineering Education and Practice · doi:10.1061/(asce)ei.1943-5541.0000354 · Cited by 16
Gender Differences in the Continuance of Online Social Networks
Shi, N., Cheung, C. M. K., Lee, M., & Chen, H. (2009) · Communications in computer and information science · doi:10.1007/978-3-642-04757-2_24 · Cited by 16
“However, researchers are increasingly interested in the post-adoption of IT in the past few years [ 6 ], [7], as it Gender Differences in the Continuance of Online Social Networks 217”
BackgroundTarofder, A. K., Marthandan, G., & Haque, A. (2010) · Cited by 16
Cocosila, M., Farrelly, G., & Trabelsi, H. (2022) · Information Technology and People · doi:10.1108/itp-01-2021-0026 · Cited by 15
Tams, S., & Dulipovici, A. M. (2022) · European Journal of Information Systems · doi:10.1080/0960085x.2022.2137064 · Cited by 23
“To ensure that these complex applications are fully utilised, successful firms such as Microsoft, 3 M, and Nike encourage their employees to innovate with IT (Ahuja & Thatcher, 2005).”
BackgroundMethodInfluentialZhou, Q., Yu, H., Adams, K., Attah‐Boakye, R., & Johansson, J. (2024) · International Journal of Management Reviews · doi:10.1111/ijmr.12387 · Cited by 22
“…on strategy, and papers that only looked at what is impacting digital transformation tend not to provide insights regarding activities and the ‘doing’ aspect of the strategy Ahuja and Thatcher (2005) Abbreviation: SAP, strategy-as-practice. one in each region ... ” (Demeter et al., 2020, p. 829).”
Identity ambiguity and the promises and practices of hybrid e-HRM project teams
Tansley, C., Huang, J., & Foster, C. (2013) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2013.01.002 · Cited by 16
Yoo, J., Zhou, Y., Lu, Y. T., & Kim, T. T. (2014) · Journal of Travel & Tourism Marketing · doi:10.1080/10548408.2014.873314 · Cited by 15
“The moderator effects were tested by comparing the corresponding standardized path coefficients in the structural model (Ahuja & Thatcher, 2005; Keil et al., 2000).”
MethodCurrent Trends in Patients' Adoption of Advanced E-Health Services
Wilson, E. V., Balkan, S., & Lankton, N. K. (2010) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2010.126 · Cited by 15
“men [2][41], and interact differently with the web than women [40].”
BackgroundHao, H., Padman, R., Sun, B., & Telang, R. (2018) · Electronic Commerce Research · doi:10.1007/s10660-018-09324-5 · Cited by 17
“However, post-adoption behavior and sustained use are not examined as extensively as the technology adoption question, either because they are not as popular as the adoption topic or because researchers do not have adequate data to study the sustained use question [3, 17].”
BackgroundHEC Montréal, C., Tams, S., Dulipovici, A. M., HEC Montréal, C., Thatcher, J. B., Craig, K., & Srite, M. (2020) · Journal of the Association for Information Systems · doi:10.17705/1jais.00597 · Cited by 17
“…EKR usage (i.e., trying to find new ways of using the EKR for sharing one’s knowledge with co-workers) is the concept of trying to innovate with IT, which refers to individuals’ attempts to find new ways of applying technology to their work tasks (Ahuja & Thatcher, 2005; Tams & Dulipovici, 2019).”
BackgroundMethodResultInfluentialUsing Information Systems Effectively: A Representational Perspective
Burton‐Jones, A., & Grangé, C. (2008) · Cited by 15
Luo, Y., & Mou, J. (2022) · Journal of Electronic Business & Digital Economics · doi:10.1108/jebde-09-2022-0032 · Cited by 14
Post-Acceptance Intentions and Behaviors
Carter, P. E., Thatcher, J. B., Chudoba, K. M., & Marett, K. (2012) · Journal of Organizational and End User Computing · doi:10.4018/joeuc.2012010101 · Cited by 15
Perceived Enjoyment and the Effect of Gender on Continuance Intention for Mobile Internet Services
Khedhaouria, A., & Beldi, A. (2014) · International Journal of Technology and Human Interaction · doi:10.4018/ijthi.2014040101 · Cited by 14
“Third, while the original work on the TAM made no reference to gender differences, subsequent research analyzed the relationship between gender and IT usage (Ahuja & Thatcher, 2005; Chen & Macredie, 2010; Gefen & Straub, 1997; Venkatesh & Morris, 2000; Venkatesh, Morris & Ackerman., 2000).”
ResultOnline social networking: a task-person-technology fit perspective
Money, W. H., & Mew, L. (2009) · Cited by 14
Understanding extended information seeking
Zha, X., Huang, C., Yan, Y., Yan, G., Wang, X., & Zhang, K. (2020) · Aslib Journal of Information Management · doi:10.1108/ajim-08-2019-0213 · Cited by 14
Magro, M. J., Ryan, S. D., & Prybutok, V. R. (2013) · Informing Science The International Journal of an Emerging Transdiscipline · doi:10.28945/1777 · Cited by 14
“Additional studies examine specific aspects of post-adoptive use (besides user behavior) that make them difficult to group together (Ahuja & Thatcher, 2005; Al-Natour & Benbasat, 2009; Mangalaraj, Mahapatra, & Nerur, 2009).”
BackgroundIT infusion within the audit process: Spreadsheet use in small audit firms
Pongpattrachai, D., Cragg, P. B., & Fisher, R. T. (2013) · International Journal of Accounting Information Systems · doi:10.1016/j.accinf.2013.03.001 · Cited by 14
Exploring adaptive information sharing from the perspective of cognitive switching
Zha, X., Yang, H., Yan, Y., Yan, G., Huang, C., & Liu, K. (2019) · Aslib Journal of Information Management · doi:10.1108/ajim-07-2018-0176 · Cited by 13
Nevo, S., Nevo, D., & Pinsonneault, A. (2020) · Information and Organization · doi:10.1016/j.infoandorg.2020.100322 · Cited by 14
Privacy concerns in e-commerce: an empirical investigation of gender differences
Faja, S., & Trimi, S. (2008) · International Journal of Electronic Business · doi:10.1504/ijeb.2008.020676 · Cited by 14
How business process management culture supports digital innovation: a quantitative assessment
Distel, B., Plattfaut, R., & Kregel, I. (2023) · Business Process Management Journal · doi:10.1108/bpmj-12-2022-0637 · Cited by 23
Yin, P., Wang, W., Wang, C., & Liang, L. (2023) · Industrial Management & Data Systems · doi:10.1108/imds-10-2022-0656 · Cited by 13
Social Norm Awareness and Norm Compliance in Online Games
Huang, T., Liao, G., Dennis, A. S., Dennis, A. R., & Teng, C. (2024) · MIS Quarterly · doi:10.25300/misq/2024/18424 · Cited by 13
Guo, Y., & Wang, C. (2019) · Journal of Global Information Management · doi:10.4018/jgim.2020040103 · Cited by 15
Bakke, S., & Henry, R. M. (2015) · AIS Transactions on Human-Computer Interaction · doi:10.17705/1thci.00075 · Cited by 13
“They are content as long as their need for control is met by a perception that they are in control.”
BackgroundMethodInfluentialKnowledge sourcing from repositories: The role of system characteristics and psychological climate
Durcikova, A., & Fadel, K. J. (2015) · Information & Management · doi:10.1016/j.im.2015.08.005 · Cited by 13
“This accords with literature that has theorized a stronger link between technology perceptions and use behavior in cases where use is voluntary rather than mandatory [23, 53, 71].”
BackgroundResultSun, J. (2016) · Applied Economics · doi:10.1080/00036846.2016.1192276 · Cited by 13
“…with the argument above, researchers also found that decentralized working structure and control over work method and scheduling is positively associated with innovation reflected as the consequences of improved decision quality (Andersen 2001; Amabile et al. 1996; Ahuja and Thatcher, 2005).”
BackgroundLi, X., Hsieh, J. J. P.-A., & Rai, A. (2009) · Digital Archive @ GSU · Cited by 13
Conceptualizing Individualization in Information Systems – A Literature Review
Gaß, O., Ortbach, K., Kretzer, M., Maedche, A., & Niehaves, B. (2015) · Communications of the Association for Information Systems · doi:10.17705/1cais.03703 · Cited by 20
Perez, G., Zilber, M. A., César, A. M. R. V. C., Lex, S., & de Medeiros, A. (2012) · Revista de Contabilidade e Organizações · doi:10.11606/rco.v6i16.52671 · Cited by 13
Stronger family ties vs. less social contact: Use intention of autonomous vehicles in family tourism
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“Infusion has generally been regarded as an outcome of individual and environmental factors, such as individual personality traits, attitudes, and perceptions of job environments (Ahuja and Thatcher 2005).”
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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