User acceptance of mobile commerce: an empirical study in Macau

This study aims to examine the positive and negative factors that can significantly explain user acceptance of mobile commerce (m-commerce) in Macau. A technology acceptance model for m-commerce with five factors is constructed. The proposed model is tested using data collected from 219 respondents. Confirmatory factor analysis is performed to examine the reliability and validity of the model, and structural equation modelling is performed to access the relationship between behaviour intention and each factor. The acceptance of m-commerce is influenced by factors including performance expectancy, social influence, facilitating conditions and privacy concern; while effort expectancy is insignificant in this case. The results of the study are useful for m-commerce service providers to adjust their strategies for promoting m-commerce services. This study contributes to the practice by providing a user technology acceptance model for m-commerce that can be used as a foundation for future research.

[1]  Howard B. Lee,et al.  Foundations of Behavioral Research , 1973 .

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

[3]  J. Rachels Why privacy is important , 1985 .

[4]  J. Rubenfeld The Right of Privacy , 1989 .

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

[6]  P. Bentler,et al.  Comparative fit indexes in structural models. , 1990, Psychological bulletin.

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

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

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

[10]  M. Browne,et al.  Alternative Ways of Assessing Model Fit , 1992 .

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

[12]  Mary J. Culnan,et al.  "How Did They Get My Name?": An Exploratory Investigation of Consumer Attitudes Toward Secondary Information Use , 1993, MIS Q..

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

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

[15]  H. Jeff Smith,et al.  Information Privacy: Measuring Individuals' Concerns About Organizational Practices , 1996, MIS Q..

[16]  Chen Wang,et al.  Consumer privacy concerns about Internet marketing , 1998, CACM.

[17]  D. Hoffman,et al.  Building Consumer Trust in Online Environments: The Case for Information Privacy* , 1998 .

[18]  Donna L. Hoffman,et al.  Information Privacy in the Marketspace: Implications for the Commercial Uses of Anonymity on the Web , 1999, Inf. Soc..

[19]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[20]  Venkateshviswanath,et al.  A Theoretical Extension of the Technology Acceptance Model , 2000 .

[21]  Paul May Mobile Commerce: Mobile Commerce Opportunities , 2001 .

[22]  Robert Boncella Internet Privacy: At Home and At Work , 2001, Commun. Assoc. Inf. Syst..

[23]  Norman Sadeh,et al.  M-Commerce: Technologies, Services, and Business Models , 2002 .

[24]  Robert C. Nickerson,et al.  Issues in Mobile E-Commerce , 2002, Commun. Assoc. Inf. Syst..

[25]  H. Albert Napier,et al.  E-Business Technologies , 2002 .

[26]  Upkar Varshney,et al.  Mobile Commerce: Framework, Applications and Networking Support , 2002, Mob. Networks Appl..

[27]  Heiko Knospe,et al.  Secure mobile commerce , 2002 .

[28]  Albert H. Segars,et al.  An Empirical Examination of the Concern for Information Privacy Instrument , 2002, Inf. Syst. Res..

[29]  Keng Siau,et al.  Building customer trust in mobile commerce , 2003, CACM.

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

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

[32]  S. Bibb,et al.  Building customer trust , 2004 .

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

[34]  S. Barnes,et al.  Driving consumer acceptance of mobile marketing: a theoretical framework and empirical study , 2005 .

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

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

[37]  Sheng Wu,et al.  Integrating perceived playfulness into expectation-confirmation model for web portal context , 2005, Inf. Manag..

[38]  Wolffried Stucky,et al.  Exploring the Critical Success Factors for Mobile Commerce , 2006, 2006 International Conference on Mobile Business.

[39]  Paul J. Hart,et al.  Privacy Concerns and Levels of Information Exchange: An Empirical Investigation of Intended e-Services Use , 2006 .

[40]  Ann M. Pearson,et al.  E-Commerce Adoption: Perceptions of Managers/Owners of Small- and Medium-Sized Enterprises (SMEs) in Thailand , 2006 .

[41]  J. Alberto Castañeda,et al.  The effect of Internet general privacy concern on customer behavior , 2007, Electron. Commer. Res..

[42]  Y. Tao,et al.  Using UTAUT to explore the behavior of 3G mobile communication users , 2007, 2007 IEEE International Conference on Industrial Engineering and Engineering Management.

[43]  Norjihan Abdul Ghani,et al.  Personal information and privacy in E-commerce application , 2008 .

[44]  Yi-Shun Wang,et al.  Investigating the determinants and age and gender differences in the acceptance of mobile learning , 2009, Br. J. Educ. Technol..

[45]  George Christodoulides,et al.  Next-Generation Mobile Marketing: How Young Consumers React to Bluetooth-Enabled Advertising , 2009, Journal of Advertising Research.

[46]  Alain Yee-Loong Chong,et al.  What drives Malaysian m-commerce adoption? An empirical analysis , 2009, Ind. Manag. Data Syst..

[47]  A. Ranchhod,et al.  Consumer privacy issues in mobile commerce: a comparative study of British, French and Romanian consumers , 2009 .

[48]  Wei Chen,et al.  An Empirical Research on the Determinants of User M-Commerce Acceptance , 2009, Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing.

[49]  Shu Yang,et al.  The influence of information sensitivity compensation on privacy concern and behavioral intention , 2009, DATB.

[50]  David G. Taylor,et al.  Privacy concern and online personalization: The moderating effects of information control and compensation , 2009, Electron. Commer. Res..

[51]  Hsiu-Yuan Wang,et al.  User acceptance of mobile internet based on the Unified Theory of Acceptance and Use of Technology: Investigating the determinants and gender differences , 2010 .

[52]  V. Venkatesh,et al.  Unified Theory of Acceptance and Use of Technology: U.S. Vs. China , 2010 .

[53]  Kiseol Yang Determinants of US consumer mobile shopping services adoption: implications for designing mobile shopping services , 2010 .

[54]  Héctor San Martín,et al.  Influence of the user's psychological factors on the online purchase intention in rural tourism: integrating innovativeness to the UTAUT framework. , 2012 .

[55]  J. Morris Chang,et al.  Mobile Commerce , 2014, IT Prof..

[56]  Jesús Téllez Isaac,et al.  Mobile CoMMerCe , 2014 .

[57]  David Oluwamayowa Fakunle,et al.  Software Security and Privacy Risks in Mobile e-Commerce , 2016 .

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