Data-Driven Approaches for Effective Managerial Decision Making

Data-Driven Approaches for Effective Managerial Decision Making

Indexed In: SCOPUS
Release Date: May, 2023|Copyright: © 2023 |Pages: 336
DOI: 10.4018/978-1-6684-7568-3
ISBN13: 9781668475683|ISBN10: 1668475685|EISBN13: 9781668475706
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Description & Coverage
Description:

In today’s competitive market, a manager must be able to look at data, understand it, analyze it, and then interpret it to design a smart business strategy. Big data is also a valuable source of information on how customers interact with firms through various mediums such as social media platforms, online reviews, and many more. The applications and uses of business analytics are numerous and must be further studied to ensure they are utilized appropriately.

Data-Driven Approaches for Effective Managerial Decision Making investigates management concepts and applications using data analytics and outlines future research directions. The book also addresses contemporary advancements and innovations in the field of management. Covering key topics such as big data, business intelligence, and artificial intelligence, this reference work is ideal for managers, business owners, industry professionals, researchers, scholars, academicians, practitioners, instructors, and students.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Intelligence
  • Big Data
  • Business Analytics
  • Business Intelligence
  • Competitive Advantage
  • Data Analytics
  • Decision Making
  • Marketing
  • Online Shopping
  • Uncertainty
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Editor/Author Biographies
Anubha is an Associate Professor at Jaipuria Institute of Management, Ghaziabad, India. Her research interests include Social Media Marketing, Islamic marketing, electronic word of mouth, Advertising, and Consumer Behaviour. Her strengths include data analysis & interpretation. She has published many scholarly “ABS 3 level”, “ABDC”, “SCI”, “SCIE”, “Scopus” and “Web of Science” indexed research papers in various journals of Wiley, Emerald, Taylor & Francis, and Sage including Psychology and Marketing, Journal of Islamic Marketing, Journal of Internet Commerce, Global Knowledge, Memory & Communication, Vision and FIIB Business Review. She has been an active reviewer of journals of Elsevier, Emerald, Inderscience and Sage. She has presented papers at various National and International conferences at MDI Murshidabad, IIM Indore, IIT Delhi, XLRI Jamshedpur, and Curtin University. She is also a recipient of the best paper award for two of her papers, one of which was presented at MDI.
Himanshu Sharma is working as an Assistant Professor in Management Department of IILM Institute for Higher Education, Lodhi Road, Delhi. Previously, he has got an opportunity to work as an Assistant Professor in University of Delhi and Jaipuria Institute of Management. He has also worked in an ICSSR funded project. He has completed his Ph.D. in Operational Research from University of Delhi. He has also done his M.Phil. and Masters in Operational Research from University of Delhi. He has his bachelor in Mathematics. His research interests are online marketing, Multi-criteria decision making, path analysis modeling. He has published research papers in reputed journals of Springer and Emerald and contributed chapters in edited books. He has also presented his work in International conferences.
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