Handbook of Big Data Research Methods

Hardback

Handbook of Big Data Research Methods

9781800888548 Edward Elgar Publishing
Edited by Shahriar Akter, Associate Dean of Research, Faculty of Business and Law, University of Wollongong, Australia and Samuel Fosso Wamba, Department of Information, Operations and Management Sciences, Toulouse Business School, France
Publication Date: April 2023 ISBN: 978 1 80088 854 8 Extent: c 336 pp
This state-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.

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This state-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.

With contributions from leading academics and practitioners, the Handbook analyses how big data analytics can be used in different sectors, including detecting credit fraud in the financial sector, identifying potential diseases in health care, and increasing customer loyalty in the telecommunication sector. Chapters explore the use of artificial intelligence in accounting, the construction of successful data science ecosystems using the public cloud, and transformational models of personal data protection in the digital era. The Handbook also discusses the difficulties of adopting a data science platform and how the public cloud can aid companies in overcoming these challenges.

Exploring how industries rely on predictive analytics to improve their decision-making, this Handbook will be essential reading for students and scholars in business analytics, economics, information systems, innovation and technology, and research methods. It will also benefit data analysts, economists, human resource managers, marketers, neuroscientists, and social science researchers.
Critical Acclaim
‘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
Contributors
Contributors include: Anjan Karan, Denis Dennehy, Dieudonné Tchuente, Gowri Harinath, Herman Myburgh, Hossana Twinomurinzi, John Oredo, Kevin Carillo, Khadija Alnofeli, Kumar Biswas, Md Lutfur Rahman, Madiha Farooqui, Mahmudul Mahmudul Haque, Mario Fernando, Nadia Nazir Awan, Neha Chaudhuri, Niloofar Ahmadzadeh Kandi, Nilupulee Liyanagamage, Nithya Shree S, Sahadat Hossain, Sajal Kumar Dey, Samrat Gupta, Samuel Fosso Wamba, Sawlat Zaman, Serge Nyawa, Shah Miah, Shahriar Akter, Shahriar Sajib, Sneh Bhardwaj, Sudipta Bose, Swadip Bhattacharjee, Tahajjat Begum, P.S. Varsha, Venkata Yanamandram
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