Instant Messaging Acceptance and Use Among College Students

The Unified Theory of Acceptance and Use of Technology (UTAUT) model is used to study acceptance and usage of instant messaging among college students. This study validates the UTAUT model in a new environment which is not work related. The results show that functional capability (the presence of various functions in the application) has a direct effect on behavior intention as well as on performance and effort expectancies. The results also show that performance expectancy does not have the hypothesized effect on behavioral intention. This may be attributed to the non-work environment. As replacement, attitude becomes a significant factor on behavioral intention. Peer influence is also found to be an important factor. The model explains more than 60% of the variance in behavioral intention. With the identification of new important variables and relationships for instant messaging, companies of such products can adjust their focus accordingly.

[1]  Henri ter Hofte,et al.  IM [@work]: adoption of instant messaging in a knowledge worker organisation , 2004 .

[2]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[3]  Viswanath Venkatesh,et al.  Creation of Favorable User Perceptions: Exploring the Role of Intrinsic Motivation , 1999, MIS Q..

[4]  Larry Press,et al.  Personal computing , 1990 .

[5]  David C. Yen,et al.  Usefulness of instant messaging among young users: Social vs. work perspective , 2003 .

[6]  Wynne W. Chin.  The partial least squares approach for structural equation modeling. , 1998 .

[7]  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..

[8]  Magid Igbaria,et al.  Computer anxiety and attitudes towards microcomputer use , 1990 .

[9]  Moez Limayem,et al.  Explaining Information Systems Adoption and Post-Adoption: Toward an Integrative Model , 2003, ICIS.

[10]  Rolph E. Anderson,et al.  Multivariate data analysis with readings (2nd ed.) , 1986 .

[11]  Izak Benbasat,et al.  An Investigation of the Effectiveness of Color and Graphical Information Presentation Under Varying Time Constraints , 1986, MIS Q..

[12]  Fred D. Davis,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1 , 1992 .

[13]  Kar Yan Tam,et al.  Determinants of User Acceptance of Digital Libraries: An Empirical Examination of Individual Differences and System Characteristics , 2002, J. Manag. Inf. Syst..

[14]  Izak Benbasat,et al.  An experimental program investigating color-enhanced and graphical information presentation: an integration of the findings , 1986, CACM.

[15]  John Ingham,et al.  Why do people use information technology? A critical review of the technology acceptance model , 2003, Inf. Manag..

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

[17]  Henry C. Lucas,et al.  Empirical Evidence for a Descriptive Model of Implementation , 1978, MIS Q..

[18]  Ellen Isaacs,et al.  Mobile instant messaging through Hubbub , 2002, CACM.

[19]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[20]  Gordon B. Davis,et al.  Testing the Determinants of Microcomputer Usage via a Structural Equation Model , 1995, J. Manag. Inf. Syst..

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

[22]  Charles D. Barrett.  Understanding Attitudes and Predicting Social Behavior , 1980 .

[23]  Fred D. Davis.  User Acceptance of Information Technology: System Characteristics, User Perceptions and Behavioral Impacts , 1993, Int. J. Man Mach. Stud..

[24]  Viswanath Venkatesh,et al.  Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model , 2000, Inf. Syst. Res..

[25]  R. Niaura,et al.  Differentiating stages of smoking intensity among adolescents: stage-specific psychological and social influences. , 2002, Journal of consulting and clinical psychology.

[26]  Anol Bhattacherjee,et al.  Understanding Changes in Belief and Attitude Toward Information Technology Usage: A Theoretical Model and Longitudinal Test , 2004, MIS Q..

[27]  M. Csíkszentmihályi.  Being adolescent : conflict and growth in the teenage years , 1984 .

[28]  Clay V. Brittain,et al.  Adolescent choices and parent-peer cross pressures. , 1963 .

[29]  Bruce Simons-Morton,et al.  Prospective association of peer influence, school engagement, drinking expectancies, and parent expectations with drinking initiation among sixth graders. , 2004, Addictive behaviors.

[30]  S. Fiske,et al.  Social Psychology , 2019, Encyclopedia of Evolutionary Psychological Science.

[31]  Detmar W. Straub,et al.  Structural Equation Modeling and Regression: Guidelines for Research Practice , 2000, Commun. Assoc. Inf. Syst..

[32]  Rosalie Steier.  Personal computing , 1989, CACM.

[33]  Kenrick Mock.  The use of internet tools to supplement communication in the classroom , 2001 .

[34]  Jerome B. Laudsbaum.  Explaining information systems accomplishments to management , 1987 .

[35]  R. Savin-Williams,et al.  Friendship and peer relations. , 1990 .

[36]  T. J. Berndt,et al.  Developmental Changes in Conformity to Peers and Parents , 1979 .

[37]  T. Sim,et al.  A Domain Conceptualization of Adolescent Susceptibility to Peer Pressure , 2003 .

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

[39]  I. Ajzen.  The theory of planned behavior , 1991 .

[40]  Steve Whittaker,et al.  The character, functions, and styles of instant messaging in the workplace , 2002, CSCW '02.

[41]  Ruth X. Liu.  The Moderating Effects of Internal and Perceived External Sanction Threats on the Relationship between Deviant Peer Associations and Criminal Offending , 2003 .

[42]  Bernadette Szajna,et al.  Empirical evaluation of the revised technology acceptance model , 1996 .

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

[44]  Magid Igbaria,et al.  Personal Computing Acceptance Factors in Small Firms: A Structural Equation Model , 1997, MIS Q..

[45]  Leysia Palen,et al.  Instant messaging in teen life , 2002, CSCW '02.

[46]  Ellen Isaacs,et al.  Hubbub: a sound-enhanced mobile instant messenger that supports awareness and opportunistic interactions , 2002, CHI.

[47]  Deanna L. Messervey,et al.  Measuring Peer Pressure, Popularity, and Conformity in Adolescent Boys and Girls: Predicting School Performance, Sexual Attitudes, and Substance Abuse , 2000 .

[48]  Henk de Poot,et al.  IM [@work]: adoption of instant messaging in a knowledge worker organisation , 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.

[49]  Confirmation Model.  UNDERSTANDING INFORMATION SYSTEMS CONTINUANCE: AN EXPECTATION- , 2001 .

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

[51]  Bonnie A. Nardi,et al.  Interaction and outeraction: instant messaging in action , 2000, CSCW '00.

[52]  LegrisPaul,et al.  Why do people use information technology , 2003 .