Track Co-Chairs

John Qi Dong
Associate Professor
University of Groningen, The Netherlands




Chia-Han Yang
Associate Professor
National Cheng Kung University,Taiwan, China




Brief Introduction

Big data are increasingly driving decision-making in contemporary firms, attracting much scholarly and industrial attention over the past few years. To build competitive advantage based on big data, firms are utilizing various kinds of analytics, from conventional business intelligence embedded in database management to social media analytics and mobile analytics. Analytics allow firms to better understand and interact with their customers, and to develop product, service or process innovation that is the most desirable in the marketplace. Thus, big data and analytics offer tremendous innovation opportunities and challenges to firms. This track calls for qualitative, quantitative, and design science papers addressing the methods, technologies and strategies related to big data and analytics. Topics include but are not limited to the following:


1. Business value of big data
2. Innovation from analytics
3. Data mining and text mining
4. Social media analytics and crowdsourcing
5. Mobile analytics and omnichannel business