The role of psychological traits and social factors in using new mobile communication services

A better understanding of users' decision making processes gives service providers greater insight to factors that guide users' adoption of new services and the development of future services. In this study, we assumed that key determinants of behavioral intentions to use mobile communication services including multimedia messaging services are the psychological traits of users and social factors. This research adhered to the social cognitive and social influence perspectives that are widely accepted theories of individual behavior to explore the multimedia messaging services usage behavior. An empirical investigation of current multimedia messaging services users in South Korea was conducted. The partial least squares analysis exhibited strong support for the role of credibility of the service, relative advantages, and perceived ease of use in shaping users' attitude and intention to use multimedia messaging services. This research accounted for the key forces of technological service characteristics and personal psychological traits affecting users' intention to adopt multimedia messaging services. This empirical analysis showed that the psychological traits of self-efficacy and peer influence are the most important factors to the formation of intention to use the new mobile service.

[1]  Viswanath Venkatesh,et al.  Model of Acceptance with Peer Support: A Social Network Perspective to Understand Employees' System Use , 2009, MIS Q..

[2]  Jen-Her Wu,et al.  What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model , 2005, Inf. Manag..

[3]  KarahannaElena,et al.  The relative advantage of electronic channels , 2008 .

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

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

[6]  Tung-Ching Lin,et al.  Understanding the determinants of EKR usage from social, technological and personal perspectives , 2009, J. Inf. Sci..

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

[8]  C. J. Wolfe,et al.  Why Wait? Modeling Factors that Influence the Decision of When to Learn a New Use of Technology , 2006, J. Inf. Syst..

[9]  Chin-Lung Hsu,et al.  Adoption of the mobile Internet: An empirical study of multimedia message service (MMS) , 2007 .

[10]  A. Bandura.  Self-efficacy: toward a unifying theory of behavioral change. , 1977, Psychology Review.

[11]  J. Pfeffer,et al.  A social information processing approach to job attitudes and task design. , 1978, Administrative science quarterly.

[12]  Christer Erlandson,et al.  WAP — The wireless application protocol , 2000 .

[13]  Alina M. Chircu,et al.  Trust, Expertise, and E-Commerce Intermediary Adoption , 2000 .

[14]  Bart Preneel,et al.  The Wireless Application Protocol , 2005, Int. J. Netw. Secur..

[15]  Vallabh Sambamurthy,et al.  Sources of Influence on Beliefs about Information Technolgoy Use: An Empirical Study of Knowledge Workers , 2003, MIS Q..

[16]  Loren V. Geistfeld,et al.  A cross-cultural investigation of consumer e-shopping adoption , 2004 .

[17]  Ying-Feng Kuo,et al.  Towards an understanding of the behavioral intention to use 3G mobile value-added services , 2009, Comput. Hum. Behav..

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

[19]  Chihui Chiang,et al.  Towards an understanding of the behavioral intention to use mobile knowledge management , 2009 .

[20]  Qingxiong Ma,et al.  The impact of service level on the acceptance of application service oriented medical records , 2005, Inf. Manag..

[21]  J. J. Po-An Hsieh,et al.  ScholarWorks @ Georgia State University , 2016 .

[22]  Nick Bontis,et al.  User acceptance of wireless short messaging services: Deconstructing perceived value , 2007, Inf. Manag..

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

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

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

[26]  Maryamsadat Kaviani,et al.  Understanding user acceptance of Digital Library , 2011 .

[27]  Izak Benbasat,et al.  Electronic Data Interchange and Small Organizations: Adoption and Impact of Technology , 1995, MIS Q..

[28]  Ritu Agarwal,et al.  The Role of Innovation Characteristics and Perceived Voluntariness in the Acceptance of Information Technologies , 1997 .

[29]  James E. Yao,et al.  Exploring Factors Associated with Wireless Internet via Mobile Technology Acceptance in Mainland China , 2014, Communications of the IIMA.

[30]  Sandra Streukens,et al.  The effect of service employees' technology readiness on technology acceptance , 2007, Inf. Manag..

[31]  I. Ajzen,et al.  Intention, perceived control, and weight loss: an application of the theory of planned behavior. , 1985, Journal of personality and social psychology.

[32]  Fred D. Davis,et al.  Dead Or Alive? The Development, Trajectory And Future Of Technology Adoption Research , 2007, J. Assoc. Inf. Syst..

[33]  Shin-Yuan Hung,et al.  Critical factors of WAP services adoption: an empirical study , 2003, Electron. Commer. Res. Appl..

[34]  Greg W. Marshall,et al.  Sales force use of technology: antecedents to technology acceptance , 2005 .

[35]  R. LaRose,et al.  Understanding Internet Usage , 2001 .

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

[37]  J. Schofield.  Effect of norms, public disclosure, and need for approval on volunteering behavior consistent with attitudes. , 1975 .

[38]  J. Beckmann,et al.  Action control : from cognition to behavior , 1985 .

[39]  Pin Luarn,et al.  AIS Electronic Library (AISeL) , 2017 .

[40]  Thomas Hill,et al.  Role of efficacy expectations in predicting the decision to use advanced technologies: The case of computers. , 1987 .

[41]  Judy Chuan-Chuan Lin,et al.  Towards an understanding of the behavioural intention to use a web site , 2000, Int. J. Inf. Manag..

[42]  Janet Fulk.  Social construction of communication technology , 1993 .

[43]  C. Craig,et al.  Advances in international marketing , 1992 .

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

[45]  Atreyi Kankanhalli,et al.  Contributing Knowledge to Electronic Knowledge Repositories: An Empirical Investigation , 2005, MIS Q..

[46]  Kai Lung Hui,et al.  Determinants of Small Business EDI Adoption: An Empirical Investigation , 2001, J. Organ. Comput. Electron. Commer..

[47]  J. Miller,et al.  Development of an Instrument To Measure Hope , 1988, Nursing research.

[48]  Ángel Herrero Crespo,et al.  The effect of innovativeness on the adoption of B2C e-commerce: A model based on the Theory of Planned Behaviour , 2008, Comput. Hum. Behav..

[49]  Elena Karahanna,et al.  The Relative Advantage of Electronic Channels: A Multidimensional View , 2008, MIS Q..

[50]  E. Rogers,et al.  Diffusion of Innovations , 1964 .

[51]  Icek Ajzen,et al.  From Intentions to Actions: A Theory of Planned Behavior , 1985 .

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

[53]  Chang Liu,et al.  Determinants of accepting wireless mobile data services in China , 2008, Inf. Manag..

[54]  George A. Marcoulides,et al.  Modern methods for business research , 1998 .

[55]  I. Ajzen,et al.  Prediction of goal directed behaviour: Attitudes, intentions and perceived behavioural control , 1986 .

[56]  Detmar W. Straub,et al.  Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs , 1999, MIS Q..

[57]  I. Ajzen,et al.  Attribution of responsibility: A theoretical note , 1973 .

[58]  Per E. Pedersen,et al.  Intentions to use mobile services: Antecedents and cross-service comparisons , 2005 .

[59]  Matthew K. O. Lee,et al.  Understanding user acceptance of multimedia messaging services: An empirical study , 2007, J. Assoc. Inf. Sci. Technol..