Gender and Age Differences in Employee Decisions About New Technology: An Extension to the Theory of Planned Behavior

M.G. Morris, V. Venkatesh, P.L. Ackerman
2005 IEEE transactions on engineering management  
This research extends the theory of planned behavior by incorporating gender and age as moderators of user perceptions and individual adoption and sustained use of technology in the workplace. Individual reactions and technology use behavior were studied over a six-month period among 342 workers being introduced to a new software technology application. While previous studies in the literature have reported gender or age differences separately, the pattern of results from the study reported
more » ... indicated that gender effects in individual adoption and use of technology differed based on age. Specifically, gender differences in technology perceptions became more pronounced among older workers, but a unisex pattern of results emerged among younger workers. The theory and empirical results are also discussed in relation to the widely employed technology acceptance model. The results from this study suggest that old stereotypes that portray "technology" as a male-oriented domain may be disappearing-particularly among younger workers. In light of these findings, theoretical implications for researchers and practical suggestions for managers are discussed. Index Terms-Age differences, gender differences, technology acceptance, theory of planned behavior (TPB ). Michael G. Morris received the Ph.D. degree in management information systems from Indiana University, Bloomington, in 1996. He is an Associate Professor of Commerce within the Information Technology area at the McIntire School of Commerce, University of Virginia, Charlottesville. Prior to joining the faculty at the McIntire School of Commerce, he spent 15 years as an officer in the United States Air Force, including five years on the faculty at the Air Force Institute of Technology. His research has been published in MIS Quarterly, Organizational Behavior and Human Decision Processes, Personnel Psychology, Decision Sciences, and IEEE Software, among others. His research interests can broadly be classified as socio-cognitive aspects of human response to information technology, including user acceptance of information technology, usability engineering, and decision-making. Viswanath Venkatesh received the Ph.D. degree in management information systems from the University of Minnesota, Minneapolis, in 1998.
doi:10.1109/tem.2004.839967 fatcat:qpdrih7u4jafdnzob2akqig3gq