Handbook of Big Data Research Methods

Research Handbooks in Information Systems

Edited by Shahriar Akter, Faculty of Business and Law, University of Wollongong, Australia and Samuel Fosso Wamba, Department of Information, Operations and Management Sciences, TBS Business School, France

这圣ate-of-the-art Handbook provides an overview of the role of big data analytics in various areas of business and commerce, including accounting, finance, marketing, human resources, operations management, fashion retailing, information systems, and social media. It provides innovative ways of overcoming the challenges of big data research and proposes new directions for further research using descriptive, diagnostic, predictive, and prescriptive analytics.

‘Big data research methods have gained dramatic momentum in the world. Researchers and practitioners extend this line of research constantly by producing journals, posts, news articles and podcasts. However, there is a paucity of a book that covers descriptive, diagnostic, predictive and prescriptive method-based research papers under one umbrella. This is one of those books which will immerse a reader in the past, present and future of big data analytics methods. It is an exceptional book that is grounded in evidence and meaningful to practice.’
– Yogesh K. Dwivedi, Swansea University, UK