Deriving factors influencing the acceptance of Pad Phones by using the DNP based UTAUT2 framework

The factors influencing acceptances of novel information technology (IT) devices can serve as the basis for product development strategy definitions. However, it is always not an easy job to predict consumer behaviors versus novel technology in general, and disruptive or radical innovation products in special. The Pad Phone, a disruptive innovative consumer electronic device integrating both a tablet personal computer (PC) as well as a smart phone, is a typical disruptive innovative device which consumer behaviors are difficult to predict based on mass customers' opinions. In order to derive key factors influencing users' acceptance of Pad Phones, the second generation Unified Theory of Acceptance and Use of Technology (UTAUT2) will be introduced as the theoretic framework. Based on opinions being derived from lead users, the Decision Making Trial and Evaluation Laboratory (DEMATEL) based Network Process (DNP) will be introduced for constructing the influence s between the factors in UTAUT2; and then, weights being associated with the factors can be derived accordingly. Based on the empirical study results, the social influence plays the dominant role in facilitating conditions. The habit and hedonic motivation are essential factors influencing customers' acceptances of Pad Phones. The empirical study results can serve as a basis for R&D and marketing strategy definitions for IT companies. Moreover, the UTAUT2 based analytic framework can be used for deriving factors influencing users' acceptances of disruptive innovations in the future.

[1]  E. Hippel,et al.  Lead users: a source of novel product concepts , 1986 .

[2]  Qingfei Min,et al.  Mobile commerce user acceptance study in China: A revised UTAUT model , 2008 .

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

[4]  T. S. Robertson,et al.  A Propositional Inventory for New Diffusion Research , 1985 .

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

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

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

[8]  Chi-Yo Huang,et al.  A Fuzzy DEMATEL based Lead User Method for deriving factors influencing the acceptance of an innovative technology , 2011, 2011 Proceedings of PICMET '11: Technology Management in the Energy Smart World (PICMET).

[9]  Steven Lysonski,et al.  Beyond service attributes: do personal values matter? , 2011 .

[10]  Gwo-Hshiung Tzeng,et al.  Evaluating intertwined effects in e-learning programs: A novel hybrid MCDM model based on factor analysis and DEMATEL , 2007, Expert Syst. Appl..

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

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

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

[14]  A. Gabus,et al.  World Problems, An Invitation to Further Thought within the Framework of DEMATEL , 1972 .

[15]  E. Hippel Successful Industrial Products from Customer Ideas , 1978 .

[16]  M. Tamura,et al.  Extraction and systems analysis of factors that prevent safety and security by structural models , 2002, Proceedings of the 41st SICE Annual Conference. SICE 2002..

[17]  I. Ajzen Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. , 2002 .

[18]  Chi-Yo Huang,et al.  Developing e-commerce business models for enabling silicon intellectual property transactions , 2006, Int. J. Inf. Technol. Manag..

[19]  Gwo-Hshiung Tzeng,et al.  Improving tourism policy implementation – The use of hybrid MCDM models , 2012 .

[20]  E. von Hippel,et al.  Sources of Innovation , 2016 .

[21]  G. Tzeng,et al.  Reconfiguring the innovation policy portfolios for Taiwan's SIP Mall industry , 2007 .

[22]  I. Ajzen,et al.  A Comparison of the Theory of Planned Behavior and the Theory of Reasoned Action , 1992 .

[23]  Chi-Yo Huang,et al.  System on chip design service e-business value maximization through a novel MCDM framework , 2011, Expert Syst. Appl..

[24]  Gwo-Hshiung Tzeng,et al.  Combined DEMATEL technique with hybrid MCDM methods for creating the aspired intelligent global manufacturing & logistics systems , 2011, Annals of Operations Research.