000			02018nam a2200157 4500
999			_c39240 _d39240
020			_a9781800888548
082			_aRR.005.7407 _bHAN-
245			_aHandbook of Big Data Research Methods/ _cedited by Shahriar Akter and Samuel Fosso Wamba
260			_aLondon: _bEdward Elgar Publishing Ltd, _c2023.
300			_axi, 322p.
520			_aThis 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.
650			_aResearch Methodology
700			_aAkter, Shahriar _eeditor
700			_aWamba, Samuel Fosso _eeditor
942			_2ddc _cBK