Antecedents of computer self-efficacy: A study of the role of personality traits and gender

Empirical evidence suggests that computer self-efficacy plays an important role in one's acceptance and use of new information technology. Little is however known about the antecedents of computer self-efficacy. This paper reports on a study of 143 non-users of a self-checkout library system available at a large Canadian university which was conducted to investigate the relationships between stable personality traits and gender with computer self-efficacy. Results indicate that four of the five stable personality traits, as measured by the Big-5 factors of personality, contribute to explain computer self-efficacy. Taking gender into account, results show that the traits of neuroticism, extraversion, and agreeableness are significantly related to computer self-efficacy for women but not for men. Implications for research and practice are discussed.

[1]  Jason Bennett Thatcher,et al.  An Empirical Examination of Individual Traits as Antecedents to Computer Anxiety and Computer Self-Efficacy , 2002, MIS Q..

[2]  Charles F. Hofacker,et al.  Measuring consumer innovativeness , 1991 .

[3]  Agnetha Broos,et al.  Gender and Information and Communication Technologies (ICT) Anxiety: Male Self-Assurance and Female Hesitation , 2005, Cyberpsychology Behav. Soc. Netw..

[4]  Neng-Pai Lin,et al.  Investigating the relationship between service providers’ personality and customers’ perceptions of service quality across gender , 2001 .

[5]  Regina Vollmeyer,et al.  Computer use and the gender gap: The issue of access, use, motivation, and performance , 2007, Comput. Hum. Behav..

[6]  Viswanath Venkatesh,et al.  Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior , 2000, MIS Q..

[7]  D. W. Fiske.  Consistency of the factorial structures of personality ratings from different sour sources. , 1949, Journal of abnormal psychology.

[8]  Deborah Compeau,et al.  Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study , 1999, MIS Q..

[9]  H. Eysenck.  Dimensions of Personality , 1947 .

[10]  P. Costa,et al.  Gender differences in personality traits across cultures: robust and surprising findings. , 2001, Journal of personality and social psychology.

[11]  Robert S. Feldman,et al.  The roles of personality and class size in student attitudes toward individual response technology , 2008, Comput. Hum. Behav..

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

[13]  Gary Hackbarth,et al.  Computer playfulness and anxiety: positive and negative mediators of the system experience effect on perceived ease of use , 2003, Inf. Manag..

[14]  Richard A. Lippa,et al.  Gender-related individual differences and psychological adjustment in terms of the big five and circumplex models , 1995 .

[15]  Peg Thoms,et al.  The relationship between self‐efficacy for participating in self‐managed work groups and the big five personality dimensions , 1996 .

[16]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[17]  Anne Beaudry,et al.  Understanding User Responses to Information Technology: A Coping Model of User Adaption , 2005, MIS Q..

[18]  William Wooten,et al.  The Effects of Self-Efficacy on Job Acceptance Behavior among American College Students. , 1991 .

[19]  R. Arteaga Sánchez,et al.  Motivational factors that influence the acceptance of Moodle using TAM , 2010, Comput. Hum. Behav..

[20]  Alan Durndell,et al.  Computer self efficacy, computer anxiety, attitudes towards the Internet and reported experience with the Internet, by gender, in an East European sample , 2002, Comput. Hum. Behav..

[21]  Irwin A. Berg.  Personality and Motivation Structure and Measurement. , 1960 .

[22]  Ya-Yueh Shih,et al.  The effect of computer self-efficacy on enterprise resource planning usage , 2006, Behav. Inf. Technol..

[23]  Tracey E. Rizzuto.  Age and technology innovation in the workplace: Does work context matter? , 2011, Comput. Hum. Behav..

[24]  Chorng-Shyong Ong,et al.  Gender differences in perceptions and relationships among dominants of e-learning acceptance , 2006, Comput. Hum. Behav..

[25]  O. John,et al.  Big Five Inventory , 2012, Encyclopedia of Personality and Individual Differences.

[26]  Clive Fletcher,et al.  The implications of research on gender differences in self‐assessment and 360 degree appraisal , 1999 .

[27]  Barbara H Wixom,et al.  A Theoretical Integration of User Satisfaction and Technology Acceptance , 2005, Inf. Syst. Res..

[28]  S. Srivastava,et al.  The Big Five Trait taxonomy: History, measurement, and theoretical perspectives. , 1999 .

[29]  Malcolm Munro,et al.  Understanding and measuring user competence , 1997, Inf. Manag..

[30]  A. Bandura,et al.  Tests of the generality of self-efficacy theory , 1980, Cognitive Therapy and Research.

[31]  Lee A. Freeman,et al.  Understanding the Formation of General Computer Self-Efficacy , 2010, Commun. Assoc. Inf. Syst..

[32]  Jason Bennett Thatcher,et al.  Moving Beyond Intentions and Toward the Theory of Trying: Effects of Work Environment and Gender on Post-Adoption Information Technology Use , 2005, MIS Q..

[33]  Craig Ross,et al.  Personality and motivations associated with Facebook use , 2009, Comput. Hum. Behav..

[34]  Phyllis Schumacher,et al.  Gender, Internet and computer attitudes and experiences , 2001, Comput. Hum. Behav..

[35]  Vallabh Sambamurthy,et al.  Research Report: The Evolving Relationship Between General and Specific Computer Self-Efficacy - An Empirical Assessment , 2000, Inf. Syst. Res..

[36]  M MarakasGeorge,et al.  The Multilevel and Multifaceted Character of Computer Self-Efficacy , 1998 .

[37]  D. Hagemann,et al.  Extraversion and its positive emotional core , 2011 .

[38]  John Hulland,et al.  Use of partial least squares (PLS) in strategic management research: a review of four recent studies , 1999 .

[39]  Marcia J. Simmering,et al.  Conscientiousness, goal orientation, and motivation to learn during the learning process: A longitudinal study. , 1998 .

[40]  C. A. Higgins,et al.  THE BIG FIVE PERSONALITY TRAITS, GENERAL MENTAL ABILITY, AND CAREER SUCCESS ACROSS THE LIFE SPAN , 1999 .

[41]  P. Costa,et al.  Facet Scales for Agreeableness and Conscientiousness: A Revision of the NEO Personality Inventory☆ , 1991 .

[42]  Robert F. Easley,et al.  Research Note - How Does Personality Matter? Relating the Five-Factor Model to Technology Acceptance and Use , 2008, Inf. Syst. Res..

[43]  Rosanna E. Guadagno,et al.  Who blogs? Personality predictors of blogging , 2008, Comput. Hum. Behav..

[44]  Traci Carte,et al.  In Pursuit of Moderation: Nine Common Errors and Their Solutions , 2003, MIS Q..

[45]  Sergio Picazo-Vela,et al.  Why provide an online review? An extended theory of planned behavior and the role of Big-Five personality traits , 2010, Comput. Hum. Behav..

[46]  Douglas R. May,et al.  The Impact of Aging on Self-Efficacy and Computer Skill Acquisition , 2005 .

[47]  Elena Karahanna,et al.  Time Flies When You're Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage , 2000, MIS Q..

[48]  Wynne W. Chin,et al.  Applying Adaptive Structuration Theory to Investigate the Process of Group Support Systems Use , 1992, J. Manag. Inf. Syst..

[49]  M. D. Dunnette.  Handbook of Industrial and Organizational Psychology , 2005 .

[50]  Chockalingam Viswesvaran,et al.  Importance of Perceived Personnel Selection System Fairness Determinants: Relations with Demographic, Personality, and Job Characteristics , 2004 .

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

[52]  Ritu Agarwal,et al.  Are Individual Differences Germane to the Acceptance of New Information Technologies , 1999 .

[53]  James G. Phillips,et al.  Personality and self reported mobile phone use , 2008, Comput. Hum. Behav..

[54]  Paul Jen-Hwa Hu,et al.  Investigating healthcare professionals' decisions to accept telemedicine technology: an empirical test of competing theories , 2002, Inf. Manag..

[55]  Rita Walczuch,et al.  Psychological antecedents of institution-based consumer trust in e-retailing , 2004, Inf. Manag..

[56]  R. McCrae.  Social consequences of experiential openness. , 1996, Psychological bulletin.

[57]  W. Gardner,et al.  Are there "his" and "hers" types of interdependence? The implications of gender differences in collective versus relational interdependence for affect, behavior, and cognition. , 1999, Journal of personality and social psychology.

[58]  Richard N. Landers,et al.  An investigation of Big Five and narrow personality traits in relation to Internet usage , 2006, Comput. Hum. Behav..

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

[60]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[61]  Thompson S. H. Teo,et al.  How Does Personality Matter? Investigating the Impact of Big-Five Personality Traits on cyberloafing , 2010, ICIS.

[62]  L. R. Goldberg.  THE DEVELOPMENT OF MARKERS FOR THE BIG-FIVE FACTOR STRUCTURE , 1992 .

[63]  Barbara L. Grabowski,et al.  The effects of computer self-efficacy on direction-following behavior in computer assisted instruction , 1992 .

[64]  T. Levin,et al.  Effect of Gender and Computer Experience on Attitudes toward Computers , 1989 .

[65]  L. A. Pervin.  Personality: Theory and Research , 1984 .

[66]  W. T. Norman,et al.  Toward an adequate taxonomy of personality attributes: replicated factors structure in peer nomination personality ratings. , 1963, Journal of abnormal and social psychology.

[67]  P. Costa,et al.  Personality in adulthood: a six-year longitudinal study of self-reports and spouse ratings on the NEO Personality Inventory. , 1988, Journal of personality and social psychology.

[68]  A. Bandura.  Regulation of cognitive processes through perceived self-efficacy. , 1989 .

[69]  P. Hackl,et al.  Robustness of partial least-squares method for estimating latent variable quality structures , 1999 .

[70]  Murray R. Barrick,et al.  THE BIG FIVE PERSONALITY DIMENSIONS AND JOB PERFORMANCE: A META-ANALYSIS , 1991 .

[71]  Jane M. Howell,et al.  Personal Computing: Toward a Conceptual Model of Utilization , 1991, MIS Q..

[72]  P. Costa,et al.  The five-factor theory of personality. , 2008 .

[73]  Kathleen T. Heinrich,et al.  Loving Partnerships: Dealing with Sexual Attraction and Power in Doctoral Advisement Relationships. , 1991 .

[74]  L. A. Pervin.  Handbook of Personality: Theory and Research , 1992 .

[75]  Kathleen S. Hartzel.  How self-efficacy and gender issues affect software adoption and use , 2003, CACM.

[76]  D. Watson,et al.  Negative affectivity: the disposition to experience aversive emotional states. , 1984, Psychological bulletin.

[77]  Ritu Agarwal,et al.  A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology , 1998, Inf. Syst. Res..

[78]  Susan Vinnicombe,et al.  Sex role stereotyping and requisites of successful top managers , 2002 .

[79]  Kevin Tierney,et al.  The relation of gender and background experience to self-reported computing anxieties and cognitions , 2001, Comput. Hum. Behav..

[80]  Detmar W. Straub,et al.  The Relative Importance of Perceived Ease of Use in IS Adoption: A Study of E-Commerce Adoption , 2000, J. Assoc. Inf. Syst..

[81]  Milton Chen.  Gender and Computers: The Beneficial Effects of Experience on Attitudes , 1986 .

[82]  Eun-Ok Im,et al.  Theory and research. , 2012, Nursing research.

[83]  Fred D. Davis,et al.  A Model of the Antecedents of Perceived Ease of Use: Development and Test† , 1996 .

[84]  T. Judge,et al.  Relationship of personality to performance motivation: a meta-analytic review. , 2002, The Journal of applied psychology.

[85]  Richard D. Johnson,et al.  The Multilevel and Multifaceted Character of Computer Self-Efficacy: Toward Clarification of the Construct and an Integrative Framework for Research , 1998, Inf. Syst. Res..

[86]  Appa Rao Korukonda,et al.  Differences that do matter: A dialectic analysis of individual characteristics and personality dimensions contributing to computer anxiety , 2007, Comput. Hum. Behav..

[87]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[88]  T. Busch.  Gender Differences in Self-Efficacy and Attitudes toward Computers , 1995 .

[89]  Judy Wahn,et al.  Sex Differences in Competitive and Compliant Unethical Work Behavior , 2003 .

[90]  Bassam Hasan,et al.  Delineating the effects of general and system-specific computer self-efficacy beliefs on IS acceptance , 2006, Inf. Manag..

[91]  Lily Shashaani,et al.  Gender-based differences in attitudes toward computers , 1993 .

[92]  J. Bermúdez,et al.  Personality Psychology in Europe , 1997 .

[93]  John A. Johnson,et al.  Handbook of personality psychology. , 1997 .

[94]  Deborah Compeau,et al.  Computer Self-Efficacy: Development of a Measure and Initial Test , 1995, MIS Q..

[95]  Kai H. Lim,et al.  Do males and females think in the same way? An empirical investigation on the gender differences in Web advertising evaluation , 2010, Comput. Hum. Behav..

[96]  Jorgen P. Bansler,et al.  Corporate Intranet Implementation: Managing Emergent Technologies and Organizational Practices , 2000, J. Assoc. Inf. Syst..

[97]  Brent A. Scott,et al.  Self-efficacy and work-related performance: the integral role of individual differences. , 2007, The Journal of applied psychology.

[98]  M. Zuckerman,et al.  A comparison of three structural models for personality: the big three , 1993 .

[99]  O. Kwon,et al.  User acceptance of context-aware services: self-efficacy, user innovativeness and perceived sensitivity on contextual pressure , 2007, Behav. Inf. Technol..

[100]  O. John,et al.  Handbook of personality: Theory and research, 2nd ed. , 1999 .

[101]  Leo R. Vijayasarathy,et al.  Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance model , 2004, Inf. Manag..

[102]  H. Eysenck.  Biological Basis of Personality , 1963, Nature.

[103]  G. W. Allport,et al.  Trait-Names: A Psycho-lexical Study. No. 211. , 1936 .

[104]  S. Gosling,et al.  Development of personality in early and middle adulthood: set like plaster or persistent change? , 2003, Journal of personality and social psychology.

[105]  John P. Campbell,et al.  Measurement Theory for the Behavioral Sciences. , 1983 .

[106]  R. Kanfer.  Motivation theory and industrial and organizational psychology. , 1990 .

[107]  Manuel J. Sánchez-Franco,et al.  Exploring the influence of gender on the web usage via partial least squares , 2006, Behav. Inf. Technol..

[108]  T. Judge,et al.  The dispositional causes of job satisfaction : A core evaluations approach , 1997 .

[109]  Detmar W. Straub,et al.  Gender Differences in the Perception and Use of E-Mail: An Extension to the Technology Acceptance Model , 1997, MIS Q..