Consumers’ Acceptance and Use of Information and Communications Technology: A UTAUT and Flow Based Theoretical Model

The world has changed a lot in the past years. The rapid advances in technology and the changing of the communication channels have changed the way people work and, for many, where do they work from. The Internet and mobile technology, the two most dynamic technological forces in modern information and communications technology (ICT) are converging into one ubiquitous mobile Internet service, which will change our way of both doing business and dealing with our daily routine activities. As the use of ICT expands globally, there is need for further research into cultural aspects and implications of ICT. The acceptance of Information Technology (IT) has become a fundamental part of the research plan for most organizations (Igbaria 1993). In IT research, numerous theories are used to understand users’ adoption of new technologies. Various models were developed including the Technology Acceptance Model, Theory of Reasoned Action, Theory of Planned Behavior, and recently, the Unified Theory of Acceptance and Use of Technology. Each of these models has sought to identify the factors which influence a citizen’s intention or actual use of information technology. Drawing on the UTAUT model and Flow Theory, this research composes a new hybrid theoretical framework to identify the factors affecting the acceptance and use of Mobile Internet -as an ICT application- in a consumer context. The proposed model incorporates eight constructs: Performance Expectancy, Effort Expectancy, Facilitating Conditions, Social Influences, Perceived Value, Perceived Playfulness, Attention Focus, and Behavioral intention. Data collected online from 238 respondents in Saudi Arabia were tested against the research model, using the structural equation modeling approach. The proposed model was mostly supported by the empirical data. The findings of this study provide several crucial implications for ICT and, in particular, mobile Internet service practitioners and researchers

[1]  Il Im,et al.  An international comparison of technology adoption: Testing the UTAUT model , 2011, Inf. Manag..

[2]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[3]  Dirk Pilat,et al.  Productivity Growth in ICT-producing and ICT-using Industries: A Source of Growth Differentials in the OECD? , 2001 .

[4]  T. H. Kwon,et al.  Unifying the fragmented models of information systems implementation , 1987 .

[5]  Avril Loveless,et al.  Information and communications technology , 1999 .

[6]  Richard,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace , 2022 .

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

[8]  Linda S. Lotto Qualitative Data Analysis: A Sourcebook of New Methods , 1986 .

[9]  Richard T. Watson,et al.  Task-technology fit for mobile locatable information systems , 2008, Decis. Support Syst..

[10]  Sumeet Gupta,et al.  The effects of privacy concerns and personal innovativeness on potential and experienced customers’ adoption of location-based services , 2009, Electron. Mark..

[11]  Hamid S. Atiyyah Determinants of Computer System Effectiveness in Saudi Arabian Public Organizations , 1989 .

[12]  Xinran Y. Lehto,et al.  Adoption of Mobile Technologies for Chinese Consumers , 2007 .

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

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

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

[16]  Niina Mallat,et al.  Exploring consumer adoption of mobile payments - A qualitative study , 2007, J. Strateg. Inf. Syst..

[17]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[18]  L GoodhueDale,et al.  Task-technology fit and individual performance , 1995 .

[19]  Paul D Jeanne Ellis Ormrod Leedy,et al.  Practical Research: Planning and Design , 1974 .

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

[21]  Tao Zhou,et al.  Understanding mobile Internet continuance usage from the perspectives of UTAUT and flow , 2011 .

[22]  Zhaohua Deng,et al.  Exploring factors affecting Chinese consumers' usage of short message service for personal communication , 2010, Inf. Syst. J..

[23]  Shalini Chandra,et al.  of the Association , 2018 .

[24]  Steve Drew,et al.  A Conceptual Framework for the Promotion of Trusted Online Retailing Environment in Saudi Arabia , 2012, ArXiv.

[25]  Hung-Pin Shih,et al.  An empirical study on predicting user acceptance of e-shopping on the Web , 2004, Inf. Manag..

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

[27]  R. Bagozzi,et al.  Multiple routes for social influence: The role of compliance, internalization and social identity. , 2002 .

[28]  Seymour E. Goodman,et al.  Cyberspace across the Sahara: computing in North Africa , 1995, CACM.

[29]  Marios Koufaris,et al.  Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior , 2002, Inf. Syst. Res..

[30]  Seymour E. Goodman,et al.  Computing in the Middle East , 1992, CACM.

[31]  Ritu Agarwal Individual Acceptance of Information Technologies , 2000 .

[32]  Stuart M. Speedie,et al.  Factors influencing health information technology adoption in Thailand's community health centers: Applying the UTAUT model , 2009, Int. J. Medical Informatics.

[33]  Magid Igbaria,et al.  User acceptance of microcomputer technology: An empirical test , 1993 .

[34]  Rolph E. Anderson,et al.  Multivariate data analysis (4th ed.): with readings , 1995 .

[35]  Dale Goodhue,et al.  Task-Technology Fit and Individual Performance , 1995, MIS Q..

[36]  Bongsik Shin,et al.  Examining influencing factors of post-adoption usage of mobile internet: Focus on the user perception of supplier-side attributes , 2010, Inf. Syst. Frontiers.

[37]  Pamela E. Carter,et al.  A Comprehensive Conceputalization of the Post-Adoptive Behaviors Associated with IT-Enabled Work Systems , 2005 .

[38]  David Meyer,et al.  The role of perceived enjoyment and social norm in the adoption of technology with network externalities , 2008, Eur. J. Inf. Syst..

[39]  Hsi-Peng Lu,et al.  Factors affecting purchase intention on mobile shopping web sites , 2009, Internet Res..

[40]  Robert W. Zmud,et al.  A Comprehensive Conceptualization of Post-Adoptive Behaviors Associated with Information Technology Enabled Work Systems , 2005, MIS Q..

[41]  Jane M. Howell,et al.  Personal Computing: Toward a Conceptual Model of Utilization , 1991, MIS Q..

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

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

[44]  Tao Zhou Understanding mobile Internet continuance usage from the perspectives of UTAUT and flow , 2011 .

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

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

[47]  Tao Zhou,et al.  Integrating TTF and UTAUT to explain mobile banking user adoption , 2010, Comput. Hum. Behav..

[48]  Yong Liu,et al.  Exploring the impact of use context on mobile hedonic services adoption: An empirical study on mobile gaming in China , 2011, Comput. Hum. Behav..

[49]  E. Rogers Diffusion of Innovations , 1962 .

[50]  Matti Rossi,et al.  The impact of use context on mobile services acceptance: The case of mobile ticketing , 2009, Inf. Manag..

[51]  Rolph E. Anderson,et al.  Multivariate Data Analysis with Readings , 1979 .

[52]  Anol Bhattacherjee,et al.  Understanding Information Systems Continuance: An Expectation-Confirmation Model , 2001, MIS Q..

[53]  Seymour E. Goodman,et al.  Sub-Saharan Africa: a technological desert , 1993, CACM.

[54]  G. Torkzadeh,et al.  The concept and correlates of computer anxiety , 1992 .