Convergence or divergence?: A comparison of acceptance and use of technology for smart phones and tablets

The market position of smart phones is similar to that of tablets, since many similar new products co-exist in the market, i.e., the “phablet.” Therefore, we applied the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model to explore the differences and similarities between smart phones and tablets. Six hundred and seventy questionnaires, including 365 for smart phones and 305 for tablets, were collected. The result shows that these two devices differ in some aspects. For smart phone users, the factors Facilitating Conditions, Price Value, Hedonic Motivation, and Habit affected Behavioral Intention and Use Behavior. For tablet users, the factors Performance Expectation, Hedonic Motivation, and Habit affected Behavioral Intention and Use Behavior. The no significant effects were seen for any moderating variables (i.e., age, gender, experience). Finally, we concluded that mobile device users choose a device on the basis of different needs. People who use smart phones need more software resources and capabilities and tend to compare prices before purchasing a smart phone. However, tablet users tend to consider how the device can help them improve work efficiency or the quality of their daily life. The results can serve as a reference for manufacturers of these devices to improve their products and services.

[1]  James B. Pick,et al.  Technology factors in corporate adoption of mobile cell phones: a case study analysis , 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.

[2]  Naresh K. Malhotra,et al.  A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena , 2005, Manag. Sci..

[3]  R. Vallerand Toward A Hierarchical Model of Intrinsic and Extrinsic Motivation , 1997 .

[4]  Won Jun Lee,et al.  User Acceptance of the Mobile Internet , 2002 .

[5]  Terry L. Childers,et al.  HEDONIC AND UTILITARIAN MOTIVATIONS FOR ONLINE RETAIL SHOPPING BEHAVIOR , 2001 .

[6]  M.H.P. Kleijnen,et al.  Consumer acceptance of wireless finance , 2004 .

[7]  I. Ajzen,et al.  The Influence of Attitudes on Behavior , 2005 .

[8]  Kar Yan Tam,et al.  The Effects of Post-Adoption Beliefs on the Expectation-Confirmation Model for Information Technology Continuance , 2006, Int. J. Hum. Comput. Stud..

[9]  E. Hirschman,et al.  The Experiential Aspects of Consumption: Consumer Fantasies, Feelings, and Fun , 1982 .

[10]  Antti Oulasvirta,et al.  Habits make smartphone use more pervasive , 2011, Personal and Ubiquitous Computing.

[11]  William B. Dodds,et al.  Effects of Price, Brand, and Store Information on Buyers’ Product Evaluations , 1991 .

[12]  Mark Moran,et al.  Students' Acceptance of Tablet PCs and Implications for Educational Institutions , 2011, J. Educ. Technol. Soc..

[13]  Laku Chidambaram,et al.  A test of the technology acceptance model: the case of cellular telephone adoption , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[14]  Viswanath Venkatesh,et al.  Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology , 2012, MIS Q..

[15]  William B. Dodds,et al.  Effects of Price, Brand, and Store Information on Buyers’ Product Evaluations: , 1991 .

[16]  Christy M. K. Cheung,et al.  How Habit Limits the Predictive Power of Intentions: The Case of IS Continuance , 2007 .

[17]  V. Zeithaml Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence: , 1988 .

[18]  Viswanath Venkatesh,et al.  Model of Adoption and Technology in Households: A Baseline Model Test and Extension Incorporating Household Life Cycle , 2005, MIS Q..