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

doi:10.2307/25148691

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

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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Workload and autonomy influence innovation adoption.
“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.”
From Exploring Predictors of Counselors’ Acceptance of Virtual Reality Exposure Therapy With Resistance and Job Contexts as Moderators: Cross-Sectional Mixed Methods Study (2025) · cites this paper as [35]

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STRESS AND PERFORMANCE: EFFECTS OF SUBJECTIVE WORK LOAD AND TIME URGENCY1
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The changing psychological contract at work
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Mental health and satisfaction among tax officers
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Modeling Interaction and Nonlinear Effects: A Step-by-Step LISREL Example
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Psychosocial implications of sex differences in attitudes toward computers: Results of a survey.
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Attributes affecting computer-aided decision making — a literature survey
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Work Stress, Job Burnout, and Work Outcomes in a Turbulent Environment
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Comparing Employees in Traditional Job Structures vs Telecommuting Jobs Using Herzberg's Hygienes & Motivators
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Causes and Consequences of Stress in the it Profession
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JOB TENURE AS A MODERATOR OF THE RELATIONSHIP BETWEEN AUTONOMY AND SATISFACTION
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Information technology and the gender factor
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Self-citation
A Review and Analysis of Power Dynamics in Organizational Romances
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Gender differences in IS career choice
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Getting Left behind? Gender Differences in Computer Conferencing
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Exploring antecedents of gender equitable outcomes in IT higher education
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Women Working in the IT Industry: Challenges for the New Millennium
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Skill, Autonomy, and Technological Change in Canada
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Flagged first, then by citations

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 · see citing works
“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).”
Background
The Consequences of Technostress for End Users in Organizations: Conceptual Development and Empirical Validation
Ragu-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 · see citing works
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 · see citing works
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 · see citing works
“On a general level, women have been considered to be less likely to enjoy and use computers and information technology (Ahuja & Thatcher, 2005).”
Background
Examining the influence of online reviews on consumers’ decision-making: a heuristic–systematic model
Zhang, 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 · see citing works
“PLS is a robust and frequently adopted technique in the IS literature [1,30,77].”
Method
Shackled to the Status Quo: The Inhibiting Effects of Incumbent System Habit, Switching Costs, and Inertia on New System Acceptance1
Polites, G. L., & Karahanna, E. (2012) · MIS Quarterly · doi:10.2307/41410404 · Cited by 679 · see citing works
“We also ran a model substituting intention to use the new system with intention to try the new system (see Ahuja and Thatcher 2005), indicating that actual use of Google Docs on future group projects might not be entirely under the individual’s control, and results were comparable (inertia …”
Do you get tired of socializing? An empirical explanation of discontinuous usage behaviour in social network services
Zhang, S., Zhao, L., Lu, Y., & Yang, J. (2016) · Information & Management · doi:10.1016/j.im.2016.03.006 · Cited by 675 · see citing works
“For example, gender has been found to play an important role in information technology acceptance and postadoption studies (Venkatesh and Morris 2000, Ahuja and Thatcher 2005).”
Background
Tourists’ intention to visit a destination: The role of augmented reality (AR) application for a heritage site
Chung, N., Han, H. S., & Joun, Y. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.02.068 · Cited by 657 · see citing works
The determinants of recommendations to use augmented reality technologies: The case of a Korean theme park
Jung, T. H., Chung, N., & Leue, M. C. (2015) · Tourism Management · doi:10.1016/j.tourman.2015.02.013 · Cited by 574 · see citing works
“Moreover, PLS regression makes few assumptions about measurement scale, sample size, and distribution (Ahuja & Thatcher, 2005).”
Method
Editor's comments: a critical look at the use of PLS-SEM in MIS quarterly
Ringle, C. M., Sarstedt, M., & Straub, D. W. (2012) · Journal of the Association for Information Systems · Cited by 520 · see citing works
The Next Generation of Research on IS Use: A Theoretical Framework of Delegation to and from Agentic IS Artifacts
Baird, A., & Maruping, L. M. (2021) · MIS Quarterly · doi:10.25300/misq/2021/15882 · Cited by 512 · see citing works
“…scholars have applied this lens to understand how humans use IS artifacts to achieve goals across a wide variety of organizational contexts (e.g., Ahuja and Thatcher 2005; Wang et al. 2013), consumer contexts (e.g., Goh et al. 2013; Kwon et al. 2016) and societal contexts (e.g., Venkatesh et al.…”
Background
IT Road Warriors: Balancing Work-Family Conflict, Job Autonomy and Work Overload to Mitigate Turnover Intentions
Ahuja, M. K., Chudoba, K. M., Kacmar, C. J., McKnight, D. H., & George, J. F. (2007) · Digital Commons - USU (Utah State University) · doi:10.2307/25148778 · Cited by 438 · see citing works
“Job autonomy is inherently higher in jobs that have a significant IT component in them because IT affords employees more opportunities to respond to their task demands through managing schedules and adapting technologies to fit the specific circumstances of their life (Ahuja and Thatcher, 2005).”
BackgroundSelf-citation
The Role of Augmented Reality for Experience-Influenced Environments: The Case of Cultural Heritage Tourism in Korea
Chung, N., Lee, H., Kim, J.-Y., & Koo, C. (2017) · Journal of Travel Research · doi:10.1177/0047287517708255 · Cited by 439 · see citing works
“PLS-Graph version 3.0 PLS analysis offers several advantages, including a small sample size, and has few assumptions about the measurement scale and normal distribution (Ahuja and Thatcher 2005).”
BackgroundInfluential
An Enhanced Fear Appeal Rhetorical Framework: Leveraging Threats to the Human Asset Through Sanctioning RhetoriC1
Johnston, A. C., Warkentin, M. E., & Siponen, M. T. (2015) · MIS Quarterly · doi:10.25300/misq/2015/39.1.06 · Cited by 412 · see citing works
“(2000) and Ahuja and Thatcher (2005). The results of the t-test multigroup analysis indicated no significant difference in the path coefficients, suggesting that while the coefficient values of three of the four conventional fear appeal elements were technically of lesser value, when we accounted for sanctioning, the…”
A Longitudinal Study of Herd Behavior in the Adoption and Continued Use of Technology1
Sun, H. (2013) · MIS Quarterly · doi:10.25300/misq/2013/37.4.02 · Cited by 375 · see citing works
Factors Affecting Bloggers' Knowledge Sharing: An Investigation Across Gender
Chai, S.-M., Das, S., & Rao, H. (2011) · Journal of Management Information Systems · doi:10.2753/mis0742-1222280309 · Cited by 383 · see citing works
“there is some debate about which method produces more rigorous results when investigating the moderating effect of gender—the interaction term or the subgroup analysis [2].”
BackgroundMethodInfluential
The impact of supplier innovativeness, information sharing and strategic sourcing on improving supply chain agility: Global supply chain perspective
Kim, M., & Chai, S. (2017) · International Journal of Production Economics · doi:10.1016/j.ijpe.2017.02.007 · Cited by 367 · see citing works
“We performed bootstrapping procedures following (Ahuja and Thatcher, 2005; Chin, 1998).”
Method
Understanding teleworkers’ technostress and its influence on job satisfaction
Suh, A., & Lee, J. (2017) · Internet Research · doi:10.1108/intr-06-2015-0181 · Cited by 347 · see citing works
“For example, Ahuja and Thatcher (2005) argue that job autonomy reduces IT workers’ perceived work-life conflict, which is a type of job stressor caused bywork overload.”
Background
Out of Dedication or Constraint? A Dual Model of Post-Adoption Phenomena and its Empirical Test in the Context of Online Services1
Kim, S. S., & Son, J.-Y. (2009) · MIS Quarterly · doi:10.2307/20650278 · Cited by 339 · see citing works
Assessing Between-Group Differences in Information Systems Research: A Comparison of Covariance- and component-Based SEM1
Qureshi, I., & Compeau, D. (2009) · MIS Quarterly · doi:10.2307/20650285 · Cited by 335 · see citing works
Why men and women continue to use social networking sites: The role of gender differences
Krasnova, H., Veltri, N. F., Eling, N., & Buxmann, P. (2017) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2017.01.004 · Cited by 341 · see citing works
“Defined as the strength of a user’s resolve to keep using a system (Ahuja and Thatcher, 2005, p. 431), continuance intentions have been intensively studied in the past across a number of contexts (e.g., Bhattacherjee and Barfar, 2011).”
Background
Exploring the Security of Information Sharing on Social Networking Sites: The Role of Perceived Control of Information
Hajli, N., & Lin, X. (2016) · Journal of Business Ethics · doi:10.1007/s10551-014-2346-x · Cited by 321 · see citing works
“Several more recent studies have also demonstrated that multigroup PLS is a valid technique for testing subgroup differences (Lin et al. 2013b; Ahuja and Thatcher 2005).”
Understanding the determinants of online repeat purchase intention and moderating role of habit: The case of online group-buying in Taiwan
Hsu, M., Chang, C., & Chuang, L.-W. (2014) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2014.09.002 · Cited by 330 · see citing works
Out of dedication or constraint? a dual model of post-adoption phenomena and its empirical test in the context of online services
Kim, S. S., & Son, J.-Y. (2009) · Journal of the Association for Information Systems · doi:10.5555/2017410.2017416 · Cited by 316 · see citing works
To Be or Not to Be …Human? Theorizing the Role of Human-Like Competencies in Conversational Artificial Intelligence Agents
Chandra, S., Shirish, A., & Srivastava, S. C. (2022) · Journal of Management Information Systems · doi:10.1080/07421222.2022.2127441 · Cited by 325 · see citing works
“…variables in our research model: (1) respondent characteristics to account for demographic differences —these included the respondents’ gender [3] and prior experience using chatbots [134]; (2) the type of chatbot to rule out the instrumentality of the different chatbots used in our research…”
Method
Motivational Differences Across Post-Acceptance Information System Usage Behaviors: An Investigation in the Business Intelligence Systems Context
Li, X., Hsieh, J. J. P.-A., & Rai, A. (2013) · Information Systems Research · doi:10.1287/isre.1120.0456 · Cited by 316 · see citing works
“Trying to innovate with IT (Ahuja and Thatcher 2005) Users’ goals of ﬁnding novel uses for IS in a routine and standardized way to support their work.”
BackgroundMethodInfluential
The Effects of Trust and Enjoyment on Intention to Play Online Games
Wu, J., & De, L. (2007) · Journal of electronic commerce research · Cited by 307 · see citing works
Cross-cultural differences in adopting mobile augmented reality at cultural heritage tourism sites
Jung, T. H., Lee, H., Chung, N., & Dieck, M. C. T. (2018) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-02-2017-0084 · Cited by 306 · see citing works
“According to Ahuja and Thatcher (2005), relatively small sample sizes and few assumptions about the measurement scale and normal distribution are just a few of the advantages of this regression analysis.”
Examining the effects of information system characteristics and perceived usefulness on post adoption usage of information systems
Saeed, K. A., & Abdinnour‐Helm, S. (2008) · Information & Management · doi:10.1016/j.im.2008.06.002 · Cited by 306 · see citing works
“Ahuja and Thatcher [18] propose the concept of trying to innovate with IT and define it as the user’s goal of finding new uses of existing workplace information technologies.”
Background
Identifying and Testing the Inhibitors of Technology Usage Intentions
Cenfetelli, R. T., & Schwarz, A. (2010) · Information Systems Research · doi:10.1287/isre.1100.0295 · Cited by 304 · see citing works
Enhancing student learning experience with technology-mediated gamification: An empirical study
Tsay, C. H., Kofinas, A., & Luo, J. (2018) · Computers & Education · doi:10.1016/j.compedu.2018.01.009 · Cited by 293 · see citing works
Exploring Gender Differences in Online Consumer Purchase Decision Making: An Online Product Presentation Perspective
Lin, X., Featherman, M. S., Brooks, S. L., & Hajli, N. (2018) · Information Systems Frontiers · doi:10.1007/s10796-018-9831-1 · Cited by 294 · see citing works
“Moreover, Ahuja and Thatcher (2005) employed gender schema theory to study how gender moderates the influences on work environment and trying to innovate with IT.”
Background
Understanding User Revisions When Using Information System Features: Adaptive System Use and Triggers1
Sun, H. (2012) · MIS Quarterly · doi:10.2307/41703463 · Cited by 269 · see citing works
Examining the moderating effect of inconsistent reviews and its gender differences on consumers' online shopping decision
Zhang, K. Z. K., Cheung, C. M. K., & Lee, M. K. O. (2014) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2013.12.001 · Cited by 261 · see citing works
“In particular, this study used PLS-Graph 3.0, which is a widely adopted SEM technique in the IS literature (e.g., Ahuja & Thatcher, 2005; Lee, Shi, Cheung, Lim, & Sia, 2011; Sun, 2012).”
MethodInfluential
Mindfulness in Information Technology Use: Definitions, Distinctions, and A New Measure1
Thatcher, J. B., Wright, R. T., Sun, H., Zagenczyk, T. J., & Klein, R. (2018) · MIS Quarterly · doi:10.25300/misq/2018/11881 · Cited by 242 · see citing works
The Influence of Experiential and Dispositional Factors in Phishing: An Empirical Investigation of the Deceived
Wright, R. T., & Marett, K. (2010) · Journal of Management Information Systems · doi:10.2753/mis0742-1222270111 · Cited by 232 · see citing works
“Where the high CSE user is confident in his or her ability to deal appropriately with a phishing message, a user with low CSE is likely an inviting target for phishing efforts as he or she is often uncertain of what is being asked and is unlikely or unwilling to ask for advice [1].”
Background
The influence of tourism website on tourists’ behavior to determine destination selection: A case study of creative economy in Korea
Chung, N., Lee, H., Lee, S. J., & Koo, C. (2015) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2015.03.004 · Cited by 232 · see citing works
“PLS regression analysis has several advantages including small sample size, and few assumptions about measurement scale and normal distribution (Ahuja and Thatcher, 2005).”
Background
The Nature and Consequences of Trade-Off Transparency in the Context of Recommendation Agents1
Xu, D. J., Benbasat, I., & Cenfetelli, R. T. (2014) · MIS Quarterly · doi:10.25300/misq/2014/38.2.03 · Cited by 224 · see citing works
Understanding the determinants of hotel booking intentions and moderating role of habit
Agag, G., & El‐Masry, A. (2016) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2016.01.007 · Cited by 238 · see citing works
Enterprise social networking: A knowledge management perspective
Mäntymäki, M., & Riemer, K. (2016) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2016.06.009 · Cited by 233 · see citing works
The Integrative Framework of Technology Use: AN Extension and Test1
Kim (2009) · MIS Quarterly · doi:10.2307/20650307 · Cited by 217 · see citing works
Technical attributes, health attribute, consumer attributes and their roles in adoption intention of healthcare wearable technology
Zhang, M., Luo, M., Nie, R., & Zhang, Y. (2017) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2017.09.016 · Cited by 211 · see citing works
Capturing the Complexity of Malleable IT Use: Adaptive Structuration Theory for Individuals1
Schmitz, K. W., Teng, J. T. C., & Webb, K. J. (2016) · MIS Quarterly · doi:10.25300/misq/2016/40.3.07 · Cited by 205 · see citing works
“The first two steps employ the CFA method for a series of nested CFA-models (Bagozzi and Phillips 1982; Brooke et al. 1988).”
Method
Understanding Gender Differences in m-Health Adoption: A Modified Theory of Reasoned Action Model
Zhang, X., Guo, X., Lai, K., Guo, F., & Li, C. (2013) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2013.0092 · Cited by 206 · see citing works
“To perform the subgroup analysis, we used the formula suggested by Ahuja and Thatcher 56 to calculate the discrepancy of the designated paths by the standard error and the corresponding path coefficient.”
Extracting Business Value from IT: A Sensemaking Perspective of Post-Adoptive Use
Hsieh, J. J. P.-A., Rai, A., & Xu, S. X. (2011) · Management Science · doi:10.1287/mnsc.1110.1398 · Cited by 203 · see citing works
“Although this study focuses primarily on extended use, there are other types of post-adoptive usage behaviors that deserve further attention, e.g., adaptive use (Sun and Zhang 2008) and innovative use (Nambisan et al. 1999, Ahuja and Thatcher 2005).”
Method
The Role of Trust in Postadoption IT Exploration: An Empirical Examination of Knowledge Management Systems
Thatcher, J. B., McKnight, D. H., Baker, E. W., Arsal, R. E., & Roberts, N. H. (2011) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2009.2028320 · Cited by 196 · see citing works
“ment on users’ goals toward innovating with technology [15].”
Background
Smart home: Highly-educated students' acceptance
Baudier, P., Ammi, C., & Deboeuf-Rouchon, M. (2018) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2018.06.043 · Cited by 195 · see citing works
Understanding the role of gender in bloggers' switching behavior
Zhang, K. Z. K., Lee, M., Cheung, C. M. K., & Chen, H. (2009) · Decision Support Systems · doi:10.1016/j.dss.2009.05.013 · Cited by 186 · see citing works
“[2] suggested, we obtained the standard error of path and the corresponding path coefficient from the results of PLS, and then calculated the discrepancy of the designated paths (i.”
BackgroundMethodInfluential
Consumer adaptation and infusion of wearable devices for healthcare
Marakhimov, A., & Joo, J. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.07.016 · Cited by 187 · see citing works
Expectation Confirmation in Information Systems Research: A Test of Six Competing Models
Brown, S. A., Venkatesh, V., & Goyal, S. (2014) · MIS Quarterly · doi:10.2139/ssrn.3681718 · Cited by 187 · see citing works
Examining the effects of motives and gender differences on smartphone addiction
Chen, C., Zhang, K. Z. K., Gong, X., Zhao, S. J., Lee, M., & Liang, L. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.07.002 · Cited by 179 · see citing works
Building brand loyalty in social commerce: The case of brand microblogs
Zhang, K. Z. K., Benyoucef, M., & Zhao, S. J. (2015) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2015.12.001 · Cited by 183 · see citing works
‘To play or not to play’: A cross-temporal investigation using hedonic and instrumental perspectives to explain user intentions to explore a technology
Magni, M., Susan Taylor, M., & Venkatesh, V. (2010) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2010.03.004 · Cited by 173 · see citing works
“Autonomy The perception of an environment characterized by autonomy and stress influences individual trying to innovate Ahuja and Thatcher (2005) Overload Exploratory behavior Acquisition of knowledge for satisfying cognitive stimulation.”
Improving Strategic Flexibility with Information Technologies: Insights for Firm Performance in an Emerging Economy
Chen, Y., Wang, Y., Nevo, S., Benitez, J., & Kou, G. (2015) · Journal of Information Technology · doi:10.1057/jit.2015.26 · Cited by 168 · see citing works
“To examine the differences caused by ownership structure (Hypotheses 5 and 6), we used the method of sub-group analysis (Keil et al. , 2000; Ahuja and Thatcher, 2005).”
Method
A study on factors that affect users’ behavioral intention to transfer usage from the offline to the online channel
Lu, Y., Cao, Y., Wang, B., & Yang, S. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.08.013 · Cited by 170 · see citing works
Examining gender differences in people’s information-sharing decisions on social networking sites
Lin, X., & Wang, X. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.05.004 · Cited by 177 · see citing works
User response to mandatory IT use: a coping theory perspective
Bhattacherjee, A., Davis, C. J., Connolly, A. J., & Hikmet, N. (2017) · European Journal of Information Systems · doi:10.1057/s41303-017-0047-0 · Cited by 167 · see citing works
“Other authors also mention ‘routine use,’ ‘innovative use’ (Li, Hsieh, & Rai, 2013), and ‘trying to innovate using IT’ (Ahuja & Thatcher, 2005).”
Understanding the roles of cultural differences and socio-economic status in social media continuance intention
Hsu, M., Tien, S.-W., Lin, H., & Chang, C. (2015) · Information Technology and People · doi:10.1108/itp-01-2014-0007 · Cited by 165 · see citing works
Public and private value creation using artificial intelligence: An empirical study of AI voice robot users in Chinese public sector
Wang, C., Teo, T. S. H., & Janssen, M. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102401 · Cited by 161 · see citing works
The Role of Habit in Post-Adoption Switching of Personal Information Technologies: An Empirical Investigation
Ye, C., & Potter, R. E. (2011) · Communications of the Association for Information Systems · doi:10.17705/1cais.02835 · Cited by 170 · see citing works
Who Do You Think You Are? Common and Differential Effects of Social Self-Identity on Social Media Usage
Pan, Z., Lu, Y., Wang, B., & Chau, P. Y. K. (2017) · Journal of Management Information Systems · doi:10.1080/07421222.2017.1296747 · Cited by 163 · see citing works
“Ahuja and Thatcher [2], Gupta and Karahanna [46], Hong et al. [49], Jasperson et al. [55], Ke et al. [61], Li and Hsieh [66], Maruping and Magni [76], Nambisan et al. [81], Saeed and AbdinnourHelm [99], Saga and Zmud [100], Wang et al. [129], and Wang et al. [128] Synthesized perspective Search for new uses of an IS e…”
Background
Who will attract you? Similarity effect among users on online purchase intention of movie tickets in the social shopping context
Fu, S., Yan, Q., & Feng, G. C. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.01.013 · Cited by 165 · see citing works
Technology acceptance among pre-service teachers: Does gender matter?
Teo, T. P., Fan, X., & Du, J. (2015) · Australasian Journal of Educational Technology · doi:10.14742/ajet.1672 · Cited by 164 · see citing works
“Drawing upon the TRA, Ahuja and Thatcher (2005) examined the influence of the work environment and gender on trying to innovate with information technology.”
Do Ontological Deficiencies in Modeling Grammars Matter?
Recker, Rosemann, M., Green, & Indulska, M. (2011) · MIS Quarterly · doi:10.2307/23043489 · Cited by 150 · see citing works
Researching instructional use and the technology acceptation of learning management systems by secondary school teachers
Smet, C. D., Bourgonjon, J., Wever, B. D., Schellens, T., & Valcke, M. (2011) · Computers & Education · doi:10.1016/j.compedu.2011.09.013 · Cited by 149 · see citing works
“For subjective norm, the original two-item scale based on Ajzen and Fishbein (1980) is used.”
Do males and females think in the same way? An empirical investigation on the gender differences in Web advertising evaluation
Sun, Y., Lim, K. H., Jiang, C., Peng, J. Z., & Chen, X. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.06.009 · Cited by 163 · see citing works
“Third, prior studies have developed a mature method based on PLS to compare path coefficients across different groups (Ahuja & Thatcher, 2005; Keil et al., 2000).”
BackgroundMethodInfluential
Worker stress in the age of mobile technology: The combined effects of perceived interruption overload and worker control
Tams, S., Ahuja, M. K., Thatcher, J. B., & Grover, V. (2020) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2020.101595 · Cited by 157 · see citing works
“Method Control (Ahuja and Thatcher, 2005; Breaugh, 1999; Hackman and Oldham, 1975) (7-point likert-type scale)”
BackgroundMethodInfluentialSelf-citation
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 159 · see citing works
“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 143 · see citing works
“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 147 · see citing works
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 143 · see citing works
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 · see citing works
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 · see citing works
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 134 · see citing works
“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 · see citing works
“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 · see citing works
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 131 · see citing works
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 125 · see citing works
Factors influencing online auction repurchase intention
Yen, C., & Lu, H. (2008) · Internet Research · doi:10.1108/10662240810849568 · Cited by 127 · see citing works
“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 · see citing works
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 · see citing works
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 134 · see citing works
“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 · see citing works
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 123 · see citing works
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 · see citing works
“…(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 119 · see citing works
“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 138 · see citing works
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 111 · see citing works
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 · see citing works
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 114 · see citing works
“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 110 · see citing works
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 109 · see citing works
“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 112 · see citing works
The impact of smart tourism technology and domestic travelers' technology readiness on their satisfaction and behavioral intention: A c ross‐country comparison
Shin, H. H., Jeong, M., & Cho, M. (2021) · International Journal of Tourism Research · doi:10.1002/jtr.2437 · Cited by 106 · see citing works
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 · see citing works
“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 103 · see citing works
A test for multigroup comparison using partial least squares path modeling
Klesel, M., Schuberth, F., Henseler, J., & Niehaves, B. (2019) · Internet Research · doi:10.1108/intr-11-2017-0418 · Cited by 86 · see citing works
Justifying business intelligence systems adoption in SMEs
Popovič, A., Puklavec, B., & Oliveira, T. (2018) · Industrial Management & Data Systems · doi:10.1108/imds-02-2018-0085 · Cited by 102 · see citing works
From ambidextrous learning to digital creativity: An integrative theoretical framework
Shao, Z., Li, X., & Wang, Q. (2021) · Information Systems Journal · doi:10.1111/isj.12361 · Cited by 104 · see citing works
“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 · see citing works

Moving Beyond Intentions and Toward the Theory of Trying: Effects of Work Environment and Gender on Post-Adoption Information Technology Use
Ahuja, M. K., & Thatcher, J. B. (2005) · Journal of the Association for Information Systems · Cited by 43 · see citing works
Self-citation
Moving beyond intentions and toward the theory of trying
AhujaManju, K., & Bennett, T. (2005) · MIS Quarterly · doi:10.5555/2017264.2017269 · Cited by 20 · see citing works
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 · see citing works
Contextual Factors in Post-adoption: Applying the Model of Proactive Work Behavior to the Study of End-User innovation
Hill, K. M., Tams, S., & Thatcher, J. B. (2015) · Journal of the Association for Information Systems
An examination of the implementation of information technology for end users : a diffusion of innovations perspective
Moore, G. C. (2010) · cIRcle (University of British Columbia) · doi:10.14288/1.0098179 · Cited by 22 · see citing works

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 › Sociology and Political Science › 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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