Factors Influencing on Behavior Intention for Mobile Commerce

Kyung-Soo Chung · Wonbin Lee

12 citations0/0 files storedThe Journal of Information Systems

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Technology Adoption and User Behaviour Usability and User Interface Design Health, Technology, Consumer Behavior

Abstract

Mobile commerce is defined as any direct or indirect transaction conducted and facilitated through a wireless telecommunication network such as payment, ticketing, auction and mobile banking. Despite the importance of mobile commerce, there have not been so many academic studies on the unique characteristics of mobile commerce environments. In this study, our research model is developed based on TAM(Technology Acceptance Model) to investigate the user's technology acceptance process in mobile commerce environment. The factors, such as ubiquity, compatibility, perceived usefulness, perceived ease of use, cost, security, attitude and behavior intention for mobile commerce were selected from pier study in information systems area. The data for empirical analysis of the research model is collected online-questionnaire of 167 mobile commerce users in South Korea. The hypotheses were analyzed using SPSS 15.0 and AMOS 7.0. The results of our study show that: (1) compatibility, perceived usefulness and security had influences on the attitude whereas perceived ease of use and cost did not have any significant impact on the attitude, (2) compatibility influenced perceived usefulness whereas perceived ease of use did not, and finally (3) ubiquity, perceived usefulness and attitude had considerable influences on intention for mobile commerce. Therefore, practitioners should focus on enhancing security, quality of contents and services as well as offering what mobile commerce users want. The results of this study may useful for academicians and practitioners alike.

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References

1989User Acceptance of Computer Technology: A Comparison of Two Theoretical Models 1995Understanding Information Technology Usage: A Test of Competing Models 2000Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model 2000Time Flies When You’re Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage1 1991Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior 1982Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings 1999Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology 2002Enticing online consumers: an extended technology acceptance perspective

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