Dynamic Support of Government in Online Shopping

Hai, Le Chi and Alam Kazmi, Syed Hasnain (2015): Dynamic Support of Government in Online Shopping. Published in: Asian Social Science , Vol. 11, No. 22 (2 August 2015): pp. 1-9.

Abstract

Advancements in online shopping for consumers requires consistent government support policies and the introduction of substantial government laws and regulations. In order to establish innovative developments in online shopping market environment that makes online shopping faster and stable, the government perspective is vital with the Technology Acceptance Model (TAM) for research and development in online shopping behavior for consumer’s confidence and their purchase intention. The proposed conceptual framework in the study establish that governments’ supports positively impact on perceived ease of online shopping, and positively influence consumer’s online shopping intentions. In addition, the study results are consistent to the empirical researches that focus on perceived ease of use and perceived usefulness that will affect consumer online shopping behavior.

• Item Type: MPRA Paper
• Language: English
• Keywords: government support, technology acceptance model, perceived usefulness, perceived ease of use, online shopping
• Subjects: C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables; H - Public Economics > H5 - National Government Expenditures and Related Policies > H50 - General; M - Business Administration and Business Economics ; Marketing ; Accounting ; Personnel Economics > M1 - Business Administration; M - Business Administration and Business Economics ; Marketing ; Accounting ; Personnel Economics > M1 - Business Administration > M15 - IT Management; M - Business Administration and Business Economics ; Marketing ; Accounting ; Personnel Economics > M3 - Marketing and Advertising > M38 - Government Policy and Regulation

References

Abbasi, M. S., Chandio, F. H., Soomro, A. F., & Shah, F. (2011). Social influence, voluntariness, experience and the internet acceptance: An extension of technology acceptance model within a south-Asian country context. Journal of Enterprise Information Management, 24, 30-52. http://dx.doi.org/10.1108/17410391111097410

Ahn, T., SeewonRyu, & Han, I. (2004). The impact of the online and offline features on the user acceptance of internet shopping malls. Electronic Commerce Research and Applications, 3(4), 405-420. http://dx.doi.org/ 10.1016/j.elerap.2004.05.001

Chen, L. D., & Tan, J. (2004). Technology Adaptation in E-Commerce: Key Determinants of Virtual Stores Acceptance. European Management Journal, 22(1), 74-86. http://dx.doi.org/10.1016/j.emj.2003.11.014

China Internet Network Information Center (CNNIC). (2012). Retrieved from http://www.cnnic.net.cn/hlwf zyj/hlwxzbg/

Davis, F. D. (1989). Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. http://dx.doi.org/10.2307/249008

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003. http://dx.doi.org/10.1287/mnsc.35.8.982

Elbeltagi, I., McBride, N., & Hardaker, G. (2005). Evaluating the Factors Affecting DSS Usage by Senior Managers in Local Authorities in Egypt. Journal of Global Information Management, 13(20), 42-65. http://dx.doi.org/10.4018/jgim.2005040103

Gefen, D., & Straub, D. W. (2004). Consumer trust in B2C e-commerce and the importance of social presence: Experiments in e-products and e-services. Omega, 32, 407-424. http://dx.doi.org/10.1016/j.omega.2004. 01.006

Goh, H. P. (1995). The Diffusion of Internet in Singapore, Academic Exercise. Faculty of Business Administration. National University of Singapore.

Gurbaxani, V., King, J. L., Kraemer, K. L., Jarman, S., Jason, D., Raman, K. S., & Yap, C. S. (1990). Government as the Driving Force toward the Information Society: National Computer Policy in Singapore. Information Society, 7, 155-185. http://dx.doi.org/10.1080/01972243.1990.9960092

Henderson, R., & Divett, M. J. (2003). Perceived usefulness, ease of use and electronic supermarket use. International Journal of Human-Computer Studies, 59, 383-395. http://dx.doi.org/10.1016/S1071-5819 (03)00079-X

Hoang, M. C. (2003). Current status of Vietnamese e-commerce. Retrieved from http://unpan1.un.org/intradoc/ groups/public/../UNPAN008970.pdf

IResearch. (2013). Retrieved from http://ec.iresearch.cn/shopping/20140114/224908.shtml

Jussawalla, M., Toh, M. H., & Low, L. (1992). Singapore: An Intelligent City-State. Asian Journal of Communication, 2(3), 15-29. http://dx.doi.org/10.1080/01292989209359559

Kazmi, S. H. A. (2015a). Developments in Promotion Strategies: Review on Psychological Streams of Consumers. International Journal of Marketing Studies, 7(3), 129-138. http://dx.doi.org/10.5539/ijms.v7n3p129

Kazmi, S. H. A. (2015b). Brand the Pricing: Critical Critique. International Journal of Marketing Studies, 7(3), 125-128. http://dx.doi.org/10.5539/ijms.v7n3p125

Mathieson, K. (1991). Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173-191. http://dx.doi.org/10.1287/isre.2.3.173

Mechling, J., & King, J. L. (1992). The Road to NREN. Working Paper, ICS Department, University of California, Irvine, California.

Mowery, D., & Rosenberg, N. (1979). The influence of market demand upon innovation: A critical review of some recent empirical studies. Research Policy, 8(2), 102-153. http://dx.doi.org/10.1016/0048-7333(79) 90019-2

Nelson, R. R., & Soete, L. C. (1988). Policy conclusions. In D. G. Teoksessa, C. Freeman, R. Nelson, Silverberg, & L. Soete (Eds.), Technical Change and Economic Theory. Pinter Publishers. London.

O’Cass, Aron, & TinoFenech. (2003). Web retailing adoption: Exploring the nature of internet user’s web retailing behavior. Journal of Retailing and Consumer Services, 10, 81-94. http://dx.doi.org/10.1016/S0969- 6989(02)00004-8

Paul, A. P. (2003). Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model. International Journal of Electronic Commerce, 7(3), 101-134.

Phoenix finance. (2014). Retrieved from http://finance.ifeng.com/a/20140321/11951168_0.shtml

Subramanian, G. H. (1994). A replication of perceived usefulness and perceived ease of use Measurement. Decision Sciences, 25(5-6), 863-874. http://dx.doi.org/10.1111/j.1540-5915.1994.tb01873.x

Szajna, B. (1996). Empirical evaluation of the revised technology acceptance model. Management Science, 42(1), 85-92. http://dx.doi.org/10.1287/mnsc.42.1.85

Tan, M. (1998). Plugging into the Wired World: Perspectives from Singapore. Information, Communication and Society, 1(3), 217-245. http://dx.doi.org/10.1080/13691189809358968

Tan, N., & Teo, T. S. H. (1998). Factors influencing the adoption of the internet. International Journal of Electronic Commerce, 2(3), 5-18.

Tan, N., & Teo, T. S. H. (2000). Factors Influencing the Adoption of Internet Banking. Journal of the Association for Information Systems, 1(5), 1-42.

Taylor, S., & Todd, P. A. (1995a). Understanding information technology usage - a test of competing models. Information Systems Research, 6(2), 144-176. http://dx.doi.org/10.1287/isre.6.2.144

Taylor, S., & Todd, P. A. (1995b). Assessing IT usage: the role of prior experience. MIS Quarterly, 19(4), 561-570. http://dx.doi.org/10.2307/249633

Toh, M. H., & Low, L. (1993). The Intelligent City: Achieving the Next Lap. Technology Analysis and Strategic Management, 5(2), 187-202. http://dx.doi.org/10.1080/09537329308524129

Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on Interventions. Decision Sciences, 39(2), 273-315. http://dx.doi.org/10.1111/j.1540-5915.2008.00192.x

Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451-481. http://dx.doi.org/10.1111/j.1540-5915.1996.tb01822.x

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Sciences, 46(2), 186-204. http://dx.doi.org/10.1287/mnsc.46.2.186. 11926

Yoon, Y., Guimaraes, T., & O’Neal, Q. (1995). Exploring the factors associated with expert systems success. MIS Quarterly, 19(1), 83-106. http://dx.doi.org/10.2307/249712