For WizardKim-DPT1


Does big data mean big knowledge? Integration of big data analysis and conceptual model for social commerce research

Xuemei Tian1 • Libo Liu1

Published online: 1 October 2016

� Springer Science+Business Media New York 2016

Abstract The Big Data era has descended on many communities, from govern- ments and e-commerce to health organizations. Information systems designers face

great opportunities and challenges in developing a holistic big data research

approach for the new analytics savvy generation. In addition business intelligence is

largely utilized in the business community and thus can leverage the opportunities

from the abundant data and domain-specific analytics in many critical areas. The

aim of this paper is to assess the relevance of these trends in the current business

context through evidence-based documentation of current and emerging applica-

tions as well as their wider business implications. In this paper, we use BigML to

examine how the two social information channels (i.e., friends-based opinion

leaders-based social information) influence consumer purchase decisions on social

commerce sites. We undertake an empirical study in which we integrate a frame-

work and a theoretical model for big data analysis. We conduct an empirical study

to demonstrate that big data analytics can be successfully combined with a theo-

retical model to produce more robust and effective consumer purchase decisions.

The results offer important and interesting insights into IS research and practice.

Keywords Big data � Business intelligence � Customer knowledge management � Customer purchase behavior

& Xuemei Tian [email protected]

Libo Liu

[email protected]

1 Department of Business Technology and Entrepreneurship, Faculty of Business and Law,

Swinburne University of Technology, Melbourne, Australia


Electron Commer Res (2017) 17:169–183

DOI 10.1007/s10660-016-9242-7