Gender Differences in the Perception and Use of E-Mail: An Extension to the Technology Acceptance Model

This study extends the TAM model (Davis 1989) and the SPIR addendum (Straub 1994) by adding gender to an IT diffusion model. The technology acceptance model (TAM) has been widely studied in IS research as an explanation of the use of information systems across IS types and nationalities. While this line of research has found significant cross-cultural differences, it has ignored the effects of gender, even though in socio-linguistic research, gender is a fundamental aspect of culture. Indeed, socio-linguistic research has shown that men tend to focus discourse on hierarchy and independence, while women focus on intimacy and solidarity. This literature provides a solid grounding for conceptual extensions to the IT diffusion research and the technology acceptance model.Testing gender differences that might relate to beliefs and use of computer-based media, the present study sampled 392 female and male responses via a cross-sectional survey instrument. The sample drew from comparable groups of knowledge workers using e-mail systems in the airline industry in North America, Asia, and Europe.Study findings indicate that women and men differ in their perceptions but not use of e-mail. These findings suggest that researchers should include gender in IT diffusion models along with other cultural effects. Managers and coworkers, moreover, need to realize that the same mode of communication may be perceived differently by the sexes, suggesting that more favorable communications environments might be created, environments that take into account not only organizational contextual factors, but also the gender of users. The creation of these environments involves not only the actual deployment of communication media, but also organizational training on communications media.

[1]  T. Davenport Saving IT's Soul: Human-Centered Information Management. , 1994 .

[2]  M. Lynne Markus,et al.  Power, politics, and MIS implementation , 1987, CACM.

[3]  Barbara Johnstone,et al.  Community and Contest: Midwestern Men and Women Creating their Worlds in Conversational Storytelling , 1993 .

[4]  Bent Preisler The tentative female , 1987 .

[5]  Blake Ives,et al.  Applications of Global Information Technology: Key Issues for Management , 1991, MIS Q..

[6]  Wynne W. Chin,et al.  Adoption intention in GSS: relative importance of beliefs , 1995, DATB.

[7]  Harvey Krahn,et al.  Computer Skills and Use among High School and University Graduates , 1989 .

[8]  Wynne W. Chin,et al.  On the use, usefulness, and ease of use of structural equation modeling in MIS research: a note of caution , 1995 .

[9]  Mary B. Prescott,et al.  Diffusion of innovation theory: borrowings, extensions, and modifications from IT researchers , 1995 .

[10]  Kieran Mathieson,et al.  Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior , 1991, Inf. Syst. Res..

[11]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[12]  Richard W. Scamell,et al.  The Effects of Information System User Expectations on Their Performance and Perceptions , 1993, MIS Q..

[13]  E. Pedhazur Multiple Regression in Behavioral Research: Explanation and Prediction , 1982 .

[14]  James A. Senn,et al.  Determining factors in the successful use of adaptive technology by individuals with disabilities: an exploratory field study , 1995 .

[15]  John Short,et al.  The social psychology of telecommunications , 1976 .

[16]  Gregory E. Truman,et al.  Gender Differences in the Information Systems Managerial Ranks: An Assessment of Potential Discriminatory Practices , 1994, MIS Q..

[17]  Karen A. Frenkel,et al.  Women and computing , 1990, CACM.

[18]  R. Rice Media Appropriateness Using Social Presence Theory to Compare Traditional and New Organizational Media , 1993 .

[19]  Detmar W. Straub,et al.  The Effect of Culture on IT Diffusion: E-Mail and FAX in Japan and the U.S , 1994, Inf. Syst. Res..

[20]  Faith D. Gilroy,et al.  Computer Anxiety: Sex, Race and Age , 1986, Int. J. Man Mach. Stud..

[21]  F. McFarlan,et al.  Corporate Information Systems Management: Issues Facing Senior Executives , 1995 .

[22]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[23]  S. Murray You just don't understand: Women and men in conversation , 1992 .

[24]  Peter A. Todd,et al.  Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication , 1992, MIS Q..

[25]  G. Hofstede,et al.  Culture′s Consequences: International Differences in Work-Related Values , 1980 .

[26]  Detmar W. Straub,et al.  Measuring System Usage: Implications for IS Theory Testing , 1995 .

[27]  D. Tannen Gender and discourse , 1994 .

[28]  Clare Rigg,et al.  Gender, Diversity and Working Styles , 1994 .

[29]  Michael H. Zack,et al.  Interactivity and Communication Mode Choice in Ongoing Management Groups , 1993, Inf. Syst. Res..

[31]  Robert J. Stoller,et al.  Sex and Gender , 2020 .

[32]  K. Deaux From individual differences to social categories: analysis of a decade's research on gender , 1984 .

[33]  Michele Antoinette Paludi,et al.  Sex and Gender: The Human Experience , 1985 .

[34]  T. H. Kwon,et al.  Unifying the fragmented models of information systems implementation , 1987 .

[35]  J. Nunnally Psychometric Theory (2nd ed), New York: McGraw-Hill. , 1978 .

[36]  Fred D. Davis A technology acceptance model for empirically testing new end-user information systems : theory and results , 1985 .

[37]  Bernadette Szajna,et al.  Software Evaluation and Choice: Predictive Validation of the Technology Acceptance Instrument , 1994, MIS Q..