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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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
Untitled work
(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

Show all 133 references

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

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Topsakal, Y., & Çuhadar, M. (2024) · Current Issues in Tourism · doi:10.1080/13683500.2024.2375361 · Cited by 27
“For example, men may be more inclined towards adopting technology due to novelty and functionality, while women may prioritise factors such as privacy and reliability (Ahuja & Thatcher, 2005; Alviani et al., 2023).”
Conceptualising an IT mindset and its relationship to IT knowledge and intention to explore IT in the workplace
Imran, A., & Gregor, S. D. (2019) · Information Technology and People · doi:10.1108/itp-04-2017-0115 · Cited by 26
The antecedents of effective use of hospital information systems in the chinese context: A mixed-method approach
Yang, H., Guo, X., Peng, Z. C., & Lai, K. (2020) · Information Processing & Management · doi:10.1016/j.ipm.2020.102461 · Cited by 24
When your data has COVID-19: how the changing context disrupts data collection and what to do about it
Prommegger, B., Thatcher, J. B., Wiesche, M., & Krcmar, H. (2020) · European Journal of Information Systems · doi:10.1080/0960085x.2020.1841573 · Cited by 35
“Using multigroup analysis you can then determine whether the samples differ significantly from each other (Ahuja & Thatcher, 2005; Qureshi & Compeau, 2009).”
Method
Exploring the Impact of Self-Concept and IT Identity on Social Media Influencers’ Behavior: A Focus on Young Adult Technology Features Utilization
Nash, K. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2271235 · Cited by 26
“It encompasses beliefs, attitudes, and behaviors related to using and engaging with technology (Agarwal & Karahanna, 2000; Ahuja & Thatcher, 2005; Carter et al., 2015; Sirgy, 1982).”
Creativity in IS usage and workgroup performance: The mediating role of ambidextrous usage
Luo, Y., Zhang, C., Xu, Y. C., & Ling, H. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.10.043 · Cited by 24
Conceptualizing means-end chains of user goals as networks
Matook, S. (2013) · Information & Management · doi:10.1016/j.im.2012.12.002 · Cited by 24
Do males and females differ in how they perceive and elaborate on agent-based recommendations in Internet-based selling?
Doong, H., & Wang, H.-C. (2010) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2010.12.005 · Cited by 28
“Ahuja and Thatcher (2005), in a post-adoption study, also reported that gender moderates the associations between the perceptions toward work environment factors and trying to be innovative.”
Background
The impact of destination websites and cultural exposure: a comparison study of experienced and inexperienced travelers
Koo, C., Chung, N., Kim, D. J., & Hlee, S. (2016) · International Journal of Tourism Cities · doi:10.1108/ijtc-04-2015-0009 · Cited by 24
An Empirical Study on Perceived Value and Continuous Intention to Use of Smart Phone, and the Moderating Effect of Personal Innovativeness
Han, J., Kang, S., & Moon, T. (2013) · Asia Pacific Journal of Information Systems · doi:10.14329/apjis.2013.23.4.053 · Cited by 24
“(3) 지각된 가치 스마트폰의 지속적 사용의도에 영향을 줄 것 이라 예상되는 지각된 가치의 영향관계를 분석하 였다.”
Impact evaluation of assistive technology support for the people with dementia
Asghar, I., Cang, S., & Yu, H. (2018) · Assistive Technology · doi:10.1080/10400435.2017.1411405 · Cited by 25
“Some researchers believe that demographic and characteristic properties of the survey participants have strong impact on the usage, adaptation and retention of technologies (Ahuja & Thatcher, 2005; Venkatesh, Morris, & Ackerman, 2000).”
Background
Switch to Your Own to Work with the Known: An Empirical Study on Consumerization of IT
Dernbecher, S., Beck, R., & Weber, S. (2013) · IT University Of Copenhagen (IT University of Copenhagen) · Cited by 24
The interplay of conscious and automatic mechanisms in the context of routine use: An integrative and comparative study of contrasting mechanisms
Ray, S., & Seo, D. (2013) · Information & Management · doi:10.1016/j.im.2013.07.008 · Cited by 28
What and why of technostress: Technology antecedents and implications
Ayyagari, R. (2007) · TigerPrints (Clemson University) · Cited by 24
Does Information Systems Support for Creativity Enhance Effective Information Systems Use and Job Satisfaction in Virtual Work?
Cho, J., & Park, I. (2021) · Information Systems Frontiers · doi:10.1007/s10796-021-10208-7 · Cited by 23
From Recreational Applications to Workplace Technologies: An Empirical Study of Cross-Context IS Continuance in the Case of Virtual Worlds
Nevo, S., Nevo, D., & Kim, H. (2011) · Journal of Information Technology · doi:10.1057/jit.2011.18 · Cited by 23
“Although these and other published works (e.g., Ahuja and Thatcher, 2005) have broadened the notion of technology usage, they also pre-suppose that workplace adoption has already occurred.”
Background
Post-Adoption Switching Between Technology Substitutes: The Case of Web Browsers
Ye, C., Seo, D. B., Desouza, K. C., Sangareddy, S. R. P., & Jha, S. (2006) · Journal of the Association for Information Systems · Cited by 21
Effect of authoritarian leadership on user resistance to change: evidence from IS project implementation in China
Zhang, Y., Gao, P., Zhang, J., & Lu, L. (2020) · Industrial Management & Data Systems · doi:10.1108/imds-11-2019-0619 · Cited by 25
Creative destination, creative cultural experience, and destination brand self-congruence (DBSC)
Abadi, R. S. S., Ghaderi, Z., Soltaninasab, M., Khoshkam, M., Patterson, I., & Tabatabaei, F. (2022) · Journal of Policy Research in Tourism Leisure and Events · doi:10.1080/19407963.2022.2107655 · Cited by 25
“This method has several advantages such as allowing for small sample sizes, enables analysis with few items for the measurement scale, and finally, it is not sensitive to the data normal distribution (Ahuja & Thatcher, 2005).”
Examining the relationship of career crafting, perceived employability, and subjective career success: the moderating role of job autonomy
Diaa, N. M., Abidin, A. Z. U., & Roller, M. (2024) · Future Business Journal · doi:10.1186/s43093-024-00304-w · Cited by 22
“…level of employees is increased by high job demands, and delegation of job autonomy to employees makes them prioritize job tasks and enables them to manage their mental well-being; employees with high levels of autonomy in their jobs take frequent breaks and recover from work-related stress [4].”
Background
Sharing economy in geotag: what are the travelers’ goals sharing their locations by using geotags in social network sites during the tour?
Chung, N., & Lee, H. (2016) · International Journal of Tourism Cities · doi:10.1108/ijtc-08-2015-0022 · Cited by 22
The Role of Work Engagement in Agile Software Development: Investigating Job Demands and Job Resources
Huck-Fries, V., Prommegger, B., Wiesche, M., & Krcmar, H. (2019) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2019.844 · Cited by 25
“IS professions experience high autonomy since the domain affords more opportunities to design job characteristics and tasks [3].”
Background
The role of team cohesion and ambidexterity in enhancing employee adaptive performance: an examination of a multilevel model
Ejaz, H., Shafique, I., & Qammar, A. (2024) · Journal of Organizational Change Management · doi:10.1108/jocm-09-2023-0367 · Cited by 28
Web technology in supply chain: an empirical investigation
Tarofder, A. K., Marthandan, G., Mohan, A. V., & Tarofder, P. (2013) · Business Process Management Journal · doi:10.1108/14637151311319897 · Cited by 27
Internal factors that favor the adoption of technological innovation defined by information systems: a study of the electronic health record
Perez, G., Popadiuk, S., & César, A. M. R. V. C. (2016) · RAI revista de administração e inovação · doi:10.1016/j.rai.2016.12.003 · Cited by 21
“Products/services/ processes increased (improved) Products/services/ existing processes with new competitive extensions Ahuja and Thatcher (2005) Turban et al. (2013)”
Background
Information systems success and technology acceptance within a government organization.
Thomas, P. (2008) · doi:10.12794/metadc9023 · Cited by 20
A USER'S COGNITIVE WORKLOAD PERSPECTIVE IN NEGOTIATION SUPPORT SYSTEMS: AN EYE-TRACKING EXPERIMENT
Buettner, R. (2016) · doi:10.13140/rg.2.1.1271.9601 · Cited by 20
How deadline orientation and architectural modularity influence software quality and job satisfaction
Kude, T., Foerderer, J., Mithas, S., & Heinzl, A. (2023) · Journal of Operations Management · doi:10.1002/joom.1230 · Cited by 20

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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