Investigating Factors Affecting Actual Usage Patterns of Mobile Data Services

Mobile Data Services (MDS) encompass all non-voice value-adding services accessible through mobile networks. The adoption and mass acceptance of MDS has been a subject of discourse among academics and practitioners alike, especially when taking into consideration the non-unitary path that MDS adoption patterns have followed in different parts of the world. In view of this observation, our study draws upon the Triandis theory of explaining human behaviour, which is adjusted to fit the particularities of MDS. We offer preliminary evidence for the legitimacy of introducing the Triandis model by analyzing empirical data collected through a largescale survey (N=365), which was conducted in Greece as part of the fifth Worldwide Mobile Data Services Survey. Results corroborate the model’s capacity to discriminate MDS users from non-users and open up research opportunities for further applying it in cross-cultural surveys of MDS adoption.

[1]  Bill Anckar,et al.  VALUE CREATION IN MOBILE COMMERCE: FINDINGS FROM A CONSUMER SURVEY , 2002 .

[2]  WangShu-Ching,et al.  What drives mobile commerce? An empirical evaluation of the revised technology acceptance model , 2005 .

[3]  Thomas C. Kinnear,et al.  Marketing Research: An Applied Approach , 2000 .

[4]  Mark Stalica,et al.  Mobile commerce: opportunities, applications, and technologies of wireless business , 2001, SOEN.

[5]  Xianggui Qu,et al.  Multivariate Data Analysis , 2007, Technometrics.

[6]  Hans van der Heijden,et al.  User Acceptance of Hedonic Information Systems , 2004, MIS Q..

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

[8]  Detmar W. Straub,et al.  Validation Guidelines for IS Positivist Research , 2004, Commun. Assoc. Inf. Syst..

[9]  Suprateek Sarker,et al.  Understanding mobile handheld device use and adoption , 2003, CACM.

[10]  June Lu,et al.  Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology , 2005, J. Strateg. Inf. Syst..

[11]  I. Ajzen,et al.  Understanding Attitudes and Predicting Social Behavior , 1980 .

[12]  Per E. Pedersen,et al.  Mobile communications : re-negotiation of the social sphere , 2005 .

[13]  Simon Forge,et al.  Thumb Culture: The Meaning of Mobile Phones for Society , 2007 .

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

[15]  Kenneth C. C. Yang,et al.  Exploring factors affecting the adoption of mobile commerce in Singapore , 2005, Telematics Informatics.

[16]  H. Bouwman.  Designing metrics for business models describing Mobile services delivered by networked organisations , 2003 .

[17]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Dependent Variable , 1992, Inf. Syst. Res..

[18]  C. Nass,et al.  Emotion in human-computer interaction , 2002 .

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

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

[21]  Younghwa Lee,et al.  The Technology Acceptance Model: Past, Present, and Future , 2003, Commun. Assoc. Inf. Syst..

[22]  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..

[23]  M. Conner,et al.  The Theory of Planned Behaviour , 2004 .

[24]  Paul May,et al.  Mobile Commerce: Mobile Commerce Services Directory , 2001 .

[25]  H C Triandis,et al.  Values, attitudes, and interpersonal behavior. , 1980, Nebraska Symposium on Motivation. Nebraska Symposium on Motivation.

[26]  Christer Carlsson,et al.  Asynchronous Adoption Patterns of Mobile Services , 2005, Proceedings of the 38th Annual Hawaii International Conference on System Sciences.

[27]  Pirkko Walden,et al.  Factors Affecting Consumer Adoption Decisions and Intents in Mobile Commerce: Empirical Insights , 2003, Bled eConference.

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

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

[30]  Ann Fogelgren-Pedersen,et al.  The Mobile Internet: The Pioneering Users' Adoption Decisions , 2005, Proceedings of the 38th Annual Hawaii International Conference on System Sciences.

[31]  Linda L. Price,et al.  An Investigation into the Social Context of Early Adoption Behavior , 1992 .

[32]  Howard Rheingold,et al.  Smart Mobs: The Next Social Revolution , 2002 .

[33]  J. Barlow,et al.  Smart Mobs: The Next Social Revolution , 2003 .

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

[35]  Jinwoo Kim,et al.  A Cross-Cultural Study on the Value Structure of Mobile Internet Usage: Comparison Between Korea and Japan , 2002, J. Electron. Commer. Res..

[36]  David Meyer,et al.  Reconsidering the Adoption Process: Enjoyment and Social Norms — Antecedents of Hedonic Mobile Technology Use , 2006, Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06).

[37]  R. Rettie,et al.  Adoption and usage of M-commerce: a cross-cultural comparison of Hong Kong and the United Kingdom , 2005 .

[38]  Kalle Lyytinen,et al.  The role of standards in innovation and diffusion of broadband mobile services: The case of South Korea , 2005, J. Strateg. Inf. Syst..

[39]  Henning Olesen,et al.  Mobile communications: Europe, Japan and South Korea in a comparative perspective , 2004 .