Differences in Perception of Big Data Analytics in E-commerce between the U.S. and China

Volume 4, Issue 2, April 2019     |     PP. 32-46      |     PDF (433 K)    |     Pub. Date: November 7, 2019
DOI:    185 Downloads     6624 Views  

Author(s)

Weiqing Zhuang, School of Management, Fujian University of Technology, Fuzhou, Fujian, China; College of Science, University of Central Florida, Orlando, Florida, USA
Morgan. C. Wang, College of Science, University of Central Florida, Orlando, Florida, USA
Yunping Xie, School of Transportation, Fujian University of Technology, Fuzhou, Fujian, China

Abstract
The rapid development of e-commerce is benefited not only the evolution of information technology in the past two decades, but also the boom of big data resources produced by a hugely heterogeneous user base. That’s what makes China and United States the top two largest e-commerce markets in the world and why China is more than U.S. in e-commerce share of total retail sales nowadays. This paper seeks to examine the cause decided by institutional differences and commercial value that are two of reasons of China society is more likely to accept than U.S. in perception of BDA in e-commerce. In brief, it better for U.S. e-commerce corporations that cooperate with big data companies closely is suggested in this paper.

Keywords
Big Data Analytics, e-commerce, perception, U.S., China

Cite this paper
Weiqing Zhuang, Morgan. C. Wang, Yunping Xie, Differences in Perception of Big Data Analytics in E-commerce between the U.S. and China , SCIREA Journal of Computer. Volume 4, Issue 2, April 2019 | PP. 32-46.

References

[ 1 ] Aaron, C. 2016. “Common arguments against big data.” Aptera, April. Available at: https://blog.apterainc.com/common-arguments-against-big-data (accessed 10 May 2018).
[ 2 ] Baesens, B., Bapna, R., Marsden, J.R., Vanthienen, J., and Zhao, J.L. 2016. “Transformational issues of big data and analytics in networked business.” MIS Quarterly 40(4): 807–818.
[ 3 ] Boisot, M.H., and Child, J. 1988. “The iron law of fiefs: bureaucratic failure and the problem of governance in the Chinese economic reforms.” Administrative Science Quarterly 33(4): 507–527.
[ 4 ] Boisot, M.H., and Child, J. 1996. “From fiefs to clans and network capitalism: explaining China’s emerging economic order.” Administrative Science Quarterly 41(4): 600–628.
[ 5 ] Bruno, L. 2009. “Tarde’s idea of quantification.” In The Social After Gabriel Tarde: Debates and Assessments, Mattei C (ed). Routledge, London; 145–162.
[ 6 ] Chatterjee, D., Grewal, R., and Sambamurthy, V. 2002. “Shaping up for e-commerce: institutional enablers of the organizational assimilation of web technologies.” MIS Quarterly 26(2): 65–89.
[ 7 ] Chen, M., Mao, S.W., and Liu, Y.H. 2014. “Big data: a survey.” Mobile Networks and Applications 19(2): 171–209.
[ 8 ] Constantiou, I., and Kallinikos, J. 2015. “New games, new rules: big data and the changing context of strategy.” Journal of Information Technology 30(1): 44–57.
[ 9 ] Danah, B., and Kate, C. 2012. “Critical questions for big data.” Information, Communication & Society 15(5): 662–679.
[ 10 ] David, M.B. 2011. “The computational turn: thinking about the digital humanities.” Culture Machine 12: 1–22.
[ 11 ] Dennis, B., Erik, S., Bart, V.D.S., Rosamunde, V.B., Josta, D.H., and Ernst, H.B. 2017. “Big data and security policies: towards a framework for regulating the phases of analytics and use of Big Data.” Computer Law & Security Review 33(3): 309–323.
[ 12 ] Fichman, R.G., Dos, S.B.L., and Zheng, Z. 2014. “Digital innovation as a fundamental and powerful concept in the information systems curriculum.” MIS Quarterly 38 (2): 329–353.
[ 13 ] Francisco, M., María, P.F., and María, D.P.G. 2018. “Dealing with seasonality by narrowing the training set in time series forecasting with kNN.” Expert Systems with Applications 103: 38–48.
[ 14 ] Garry, D.B., and David, A. 2003. “An institutional view of China’s venture capital industry explaining the differences between China and the West.” Journal of Business Venturing 18(2): 233–259.
[ 15 ] Jennifer, L.G., and Kenneth, L.K. 2004. “A cross-country investigation of the determinants of scope of e-commerce use: an institutional approach.” Electronic Markets 14(2): 124–137.
[ 16 ] John, A.A., Hartmut, H., Soheil, G., and Viswanath, V. 2016. “Big data initiatives in retail environments: linking service process perceptions to shopping outcomes.” Annals of Operations Research, July. Available at: https://doi.org/10.1007/s10479-016-2276-3 (accessed 21 June 2018).
[ 17 ] Kranzberg, M. 1986. “Technology and history: Kranzberg’s laws.” Technology and Culture 27(3): 544–560.
[ 18 ] Lazer, D., Kennedy, R., King, G., and Vespignani, A. 2014. “The parable of Google flu: traps in big data analysis.” Science 343 (6176): 1203–1205.
[ 19 ] Liran, E., and Jonathan, L. 2014. “Economics in the age of big data.” Science 346(6210): 1243089-1–1243089-6.
[ 20 ] Loo, B.P.Y,. and Ngan, Y.L. 2012. “Developing mobile telecommunications to narrow digital divide in developing countries? some lessons from China.” Telecommunications Policy 36(10–11): 888–900.
[ 21 ] Nir, K. 2017. “The evolution of the internet of things industry and market in China: an interplay of institutions, demands and supply.” Telecommunications Policy 41(1): 49–67.
[ 22 ] Peng, M.W. 2000. “Business strategies in transition economies.” Sage Publications: Thousand Oaks, CA.
[ 23 ] Rosemary, W., Samuel, V., William, P., Priya, M., Temitope, F., and Leo, A.C. 2015. “Big data in global health: improving health in low- and middle-income countries.” Bulletin World Health Organization 93(3): 203–208.
[ 24 ] Scarborough, J. 1998. “Comparing Chinese and Western cultural roots: why ‘East is East and...’.” Business Horizons 41(6): 15–24.
[ 25 ] Scott, W.R. 2013. “Institutions and organizations: ideas, interests, and identities (Fourth Edition).” Sage Publications: Thousand Oaks, CA.
[ 26 ] Shaikh, A.A., Hanafizadeh, P., and Karjaluoto, H. 2017. “Mobile banking and payment system: a conceptual standpoint.” International Journal of E-Business Research 13(2):14–27.
[ 27 ] Sun, Z.H., Sun, L.Z., and Strang, K. 2018. “Big data analytics services for enhancing business intelligence.” Journal of Computer Information Systems 58(2): 162–169.
[ 28 ] Ohm, P. 2013. “The underwhelming benefits of big data.” University of Pennsylvania Law Review Online 161(1): 339–346.
[ 29 ] Xu, X., Wang, X.Q., Li, Y.B., and Haghighi, M. 2017. “Business intelligence in online customer textual reviews: understanding consumer perceptions and influential factors.” International Journal of Information Management 37(6): 673–683.
[ 30 ] Yang, S., Lu, Y., Gupta, S., Cao, Y., and Zhang, R. 2012. “Mobile payment services adoption across time: an empirical study of the effects of behavioral beliefs, social influences, and personal traits.” Computers in Human Behavior 28(1): 129–142.
[ 31 ] Zheng, J.P., Wang, Q.Z. 2012. “How do official statistics deal with the challenges of big data.” Statistical Research 29(12): 3–7. (in Chinese)