Proposed Research Model Mobile Commerce
Author(s)
Hai Ha Le , Thi Mai Nguyen , Thuy Linh Nguyen ,
Download Full PDF Pages: 105-114 | Views: 701 | Downloads: 205 | DOI: 10.5281/zenodo.4933513
Abstract
This study proposed research model investigates how a specific domain consideration of future consequences i.e., consideration of future consequences-Immediate (CFC-Immediate) and consideration of future consequences-Future (CFC-Future) asymmetrically associate and interact with perceived risk and perceived security as trade-off constructs in predicting continuance intention to use mobile commerce.
Keywords
Mobile commerce, proposed research model.
References
i. Ajzen, I., 2012. Martin Fishbein’s legacy: The reasoned action approach. The Annals of the American Academy of Political and Social Science, 640(1): 11-27.
ii. Ajzen, I., M. Fishbein 1980. Understanding attitudes and predicting social behaviour. Englewood Cliffs, NJ: Prentice-Hall.
iii. Albarracin, D., B.T. Johnson, M. Fishbein and P.A. Muellerleile, 2001. Theories of reasoned action and planned behavior as models of condom use: a meta-analysis. Psychological Bulletin, 127(1): 142-161.
iv. Aldás-Manzano, J., C. Lassala-Navarré, C. Ruiz-Mafé and S. Sanz-Blas, 2009a. The role of consumer innovativeness and perceived risk in online banking usage. International Journal of Bank Marketing, 27(1): 53–75.
v. Aldás-Manzano, J., C. Ruiz-Mafe and S. Sanz-Blas, 2009b. Exploring individual personality factors as drivers of M-shopping acceptance. Industrial Management & Data Systems, 109(6): 739-757.
vi. Anderson, J.C., D.W. Gerbing, 1988. Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3): 411–423.
vii. Andersson, U., A. Cuervo-Cazurra and B.B. Nielsen, 2014. From the Editors: Explaining interaction effects within and across levels of analysis. Journal of International Business Studies, 45(9): 1063-1071.
viii. Anil, S., L.T. Ting, L.H. Moe and G.P.G. Jonathan, 2003. Overcoming barriers to the successful adoption of mobile commerce in Singapore. International Journal of Mobile Communications, 1(1-2): 194-231.
ix. Arnocky, S., T.L. Milfont and J.R. Nicol, 2013. Time perspective and sustainable behavior. Environment and Behavior, 46(5): 556-582.
x. Ashraf, A.R., M.A. Razzaque and N. Thongpapanl, 2016. The role of customer regulatory orientation and fit in online shopping across cultural contexts. Journal of Business Research, 69(12): 6040-6047.
xi. Boniwell, I., E. Osin, P. Alex Linley and G.V. Ivanchenko, 2010. A question of balance: Time perspective and well-being in British and Russian samples. The Journal of Positive Psychology, 5(1): 24-40.
xii. Carmi, N., S. Arnon, 2014. The Role of Future Orientation in Environmental Behavior: Analyzing the Relationship on the Individual and Cultural Levels. Society & Natural Resources, 27(12): 1304-1320.
xiii. Celik, H., 2016. Customer online shopping anxiety within the Unified Theory of Acceptance and Use Technology (UTAUT) framework. Asia Pacific Journal of Marketing and Logistics, 28(2): 278-307.
xiv. Chang, H.H., S.W. Chen, 2009. Consumer perception of interface quality, security, and loyalty in electronic commerce. Information & Management, 46(7): 411-417.
xv. Chen, C., 2013. Perceived risk, usage frequency of mobile banking services. Managing Service Quality: An International Journal, 23(5): 410-436.
xvi. Chen, J.V., B.-c. Su and A.E. Widjaja, 2016. Facebook C2C social commerce: A study of online impulse buying. Decision Support Systems, 83: 57-69.
xvii. Cheng, H.-H., 2017. The antecedents of creative article diffusion on blogs: Integrating innovation diffusion theory and social network theory. Online Information Review, 41(1): 70-84.
xviii. Cheng, T.C.E., D.Y.C. Lam and A.C.L. Yeung, 2006. Adoption of internet banking: An empirical study in Hong Kong. Decision Support Systems, 42(3): 1558-1572.
xix. Cheon, J., S. Lee, S.M. Crooks and J. Song, 2012. An investigation of mobile learning readiness in higher education based on the theory of planned behavior. Computers & Education, 59(3): 1054-1064.
xx. Cheong, H.J., M.C. Park, 2005. Mobile internet acceptance in Korea. Internet Research, 15(2): 125-140.
xxi. Cheung, C.M.K., M.K.O. Lee, 2006. Understanding consumer trust in Internet shopping: A multidisciplinary approach. Journal of the American Society for Information Science and Technology, 57(4): 479-492.
xxii. Kourouthanassis, P.E., G.M. Giaglis, 2012. Introduction to the special issue mobile commerce: the past, present, and future of mobile commerce research. International Journal of Electronic Commerce, 16(4): 5-18.
xxiii. Kuo, Y.-F., S.-N. Yen, 2009. Towards an understanding of the behavioral intention to use 3G mobile value-added services. Computers in Human Behavior, 25(1): 103-110.
xxiv. Lam, H.K.S., A.C.L. Yeung, C.K.Y. Lo and T.C.E. Cheng, 2019. Should firms invest in social commerce? An integrative perspective. Information & Management.
xxv. Law, R., R. Leung, 2000. A study of airlines’ online reservation services on the Internet. Journal of Travel Research, 39(2): 202-211.
xxvi. Shaikh, A.A., H. Karjaluoto, 2015. Mobile banking adoption: A literature review. Telematics and Informatics, 32(1): 129-142.
xxvii. Shao, Z., L. Zhang, X. Li and Y. Guo, 2019. Antecedents of trust and continuance intention in mobile payment platforms: The moderating effect of gender. Electronic Commerce Research and Applications, 33(January–February).
xxviii. Tsiakis, T., G. Sthephanides, 2005. The concept of security and trust in electronic payments. Computers & Security, 24(1): 10-15.
xxix. van Beek, J., G. Antonides and M.J.J. Handgraaf, 2013. Eat now, exercise later: The relation between consideration of immediate and future consequences and healthy behavior. Personality and Individual Differences, 54(6): 785-791.
Cite this Article: