Factors Influencing the Behavior Intention of Mobile Commerce Service Users: An Exploratory Study in Hong Kong

This study identifies and explores key determinants of the behavior intention of mobile commerce service users in Hong Kong. Findings from 390 respondents to a questionnaire survey indicated that the four key factors influencing users’ intention to use a mobile commerce service are: the attitude of users toward the mobile commerce service, the users’ perceived subjective norm, or the intensity of social and peer group pressure to use a mobile commerce service; the perceived ease of use of the mobile commerce service, and the localization of the mobile commerce service. This study contributes to the body of knowledge in the fields of service marketing, technology adoption, and customer relationship management.

[1]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[2]  Mohamed Khalifa,et al.  Explaining the adoption of transactional B2C mobile commerce , 2008, J. Enterp. Inf. Manag..

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

[4]  Lingling Gao,et al.  A unified perspective on the factors influencing consumer acceptance of internet of things technology , 2014 .

[5]  Ashok N. Rudrapatna,et al.  LTE location technologies and delivery solutions , 2013, Bell Labs Technical Journal.

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

[7]  E. Y. Kim,et al.  Modeling consumer adoption of mobile shopping for fashion products in Korea , 2009 .

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

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

[10]  Lei-da Chen,et al.  Enticing online consumers: an extended technology acceptance perspective , 2002, Inf. Manag..

[11]  I-Ping Chiang,et al.  Exploring the Key Success Factors of Mobile Commerce in Taiwan , 2012, 2012 26th International Conference on Advanced Information Networking and Applications Workshops.

[12]  Nikhilesh Dholakia,et al.  Mobility and Markets: Emerging Outlines of M-commerce , 2004 .

[13]  Ji-Hong Park,et al.  The effects of personalization on user continuance in social networking sites , 2014, Inf. Process. Manag..

[14]  Canon Tong,et al.  The Influences of Service Personalization, Customer Satisfaction and Switching Costs on E-Loyalty , 2012 .

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

[16]  Lu Zhang,et al.  The effect of power and gender on technology acceptance , 2014 .

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

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

[19]  Wen-Tsao Pan,et al.  Using data mining for service satisfaction performance analysis for mainland tourists in Taiwan , 2014, International Journal of Technology Management.

[20]  Chia-Ying Li,et al.  Persuasive messages on information system acceptance: A theoretical extension of elaboration likelihood model and social influence theory , 2013, Comput. Hum. Behav..

[21]  Chin-Fu Ho,et al.  Does design matter? Affordance perspective on smartphone usage , 2013, Ind. Manag. Data Syst..

[22]  Jorge Peña,et al.  Intentions to hide and unfriend Facebook connections based on perceptions of sender attractiveness and status updates , 2014, Comput. Hum. Behav..