Development of conceptual model for social commerce research through integration with big data analysis

Xuemei Tian, Libo Liu, Kristijan Mirkovski, Mengxiang Li

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

3 Citations (Scopus)

Abstract

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 applications 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 framework 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 theoretical model to produce more robust and effective consumer purchase decisions. The results offer important and interesting insights into IS research and practice.

Original languageEnglish
Title of host publicationPACIS 2016 Proceedings
PublisherAssociation for Information Systems
Number of pages11
ISBN (Electronic)9789860491029
Publication statusPublished - 27 Jun 2016
Event20th Pacific Asia Conference on Information Systems, PACIS 2016 - National Chung Cheng University, Chiayi, Taiwan, Province of China
Duration: 27 Jun 20161 Jul 2016
http://www.pacis2016.org/
https://aisel.aisnet.org/pacis2016/
http://www.pacis2016.org/Upload/File/PACIS%202016_Session%20Timetable_Program%20Overview_20160623.pdf

Publication series

NamePacific Asia Conference on Information Systems

Conference

Conference20th Pacific Asia Conference on Information Systems, PACIS 2016
Country/TerritoryTaiwan, Province of China
CityChiayi
Period27/06/161/07/16
Internet address

Scopus Subject Areas

  • Information Systems

User-Defined Keywords

  • Big Data Analysis
  • Social Commerce
  • Business Intelligence

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