Business Analytical Capabilities and Artificial Intelligence-enabled Analytics: Applications and Challenges in the Digital Era, Volume 2
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Home > Computer Science Books > Artificial intelligence > Business Analytical Capabilities and Artificial Intelligence-enabled Analytics: Applications and Challenges in the Digital Era, Volume 2: (1152 Studies in Computational Intelligence)
Business Analytical Capabilities and Artificial Intelligence-enabled Analytics: Applications and Challenges in the Digital Era, Volume 2: (1152 Studies in Computational Intelligence)

Business Analytical Capabilities and Artificial Intelligence-enabled Analytics: Applications and Challenges in the Digital Era, Volume 2: (1152 Studies in Computational Intelligence)


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About the Book

This book explores and discusses how businesses transit from big data and business analytics to artificial intelligence (AI), by examining advanced technologies and embracing challenges such as ethical issues, governance, security, privacy, and interoperability of capabilities. This book covers a range of topics including the application of cyber accounting and strategic objectives, financial inclusion, big data analytics in telecommunication sector, digital marketing strategies and sports brand loyalty, robotic processes automation in banks, and the applications of AI for decision-making in human resources, healthcare, banking, and many more. The book provides a comprehensive reference for scholars, students, managers, entrepreneurs, and policymakers by examining frameworks and business practice implications through its discussions which embrace a wide variety of unique topics on business analytics, AI, and how it can be applied together to address the challenges of the digital era.



About the Author :

Abdalmuttaleb M.A. Musleh Al-Sartawi, Ph.D. is the Chairperson of the Accounting and Economics department, Editor-in-Chief of the International Journal of Electronic Banking (IJEBank). He received his PhD in Accounting, from UBFS. He has presented and published many papers in regional and international conferences and journals. He has chaired as well as served as a member in various editorial boards and technical committees in international refereed journals and conferences. In addition, he is the editor of upcoming volume 'The Big Data- Driven Digital Economy: Artificial and Computational Intelligence', in Studies in Computational Intelligence. He is a member of several international organizations and associations such as the European Accountants Association (EAA), the Bahrain Management Society, the Middle East Economic Association (MEEA), the International Islamic Marketing Association (IIMA), the Arab Academy for Banking and Financial Sciences, the Palestinian AccountingAssociation, and the Palestinian Farmers Association.

Arafat Salih Aydiner is an Assistant Professor and Director of Management Information Systems division in the Department of Management, Faculty of Political Science at Istanbul Medeniyet University, Turkey. He received his doctorate in Management from Bahcesehir University and an MSc. degree in Information Systems from the New Jersey Institute of Technology. He worked as a Research Associate at Rutgers Business School and joined the geographic information system research team at Meadowlands Environmental Research Institute as a research associate. He served in various private companies as a database administrator, project manager, and board member. He currently serves as the chairman of the Association of Information Technologies in Turkey. He is a member of the Istanbul Chamber of Commerce BTM (Idea to Business) board of trustees. He has authored scholarly articles in various international and nationally refereed reputable journals and presented his research at several international conferences. Dr. Arafat`s research interests are business analytics, business digital transformation and innovation, RPA, business process management, IT/information systems capabilities, digital strategy, project management in IS, fintech, and IT governance.

Mohammad Kanan is an experienced Associate Professor with a demonstrated history of working in the higher education industry. He holds a PhD in Industrial Engineering from Wichita State University, Kansas, US. where he also served as a faculty member for several years. Dr. Kanan is a skilled educator and researcher, with expertise in Analytical Skills, Statistical Quality Control, Design of Experiments, supply chain management, Software Quality, Design for Six Sigma, and all systems engineering areas. He is also an accomplished public speaker, having presented his research at numerous conferences and seminars around the world. Currently, Dr. Kanan serves as Vice Dean of scientific research at the University of Business and Technology. In this role, he is responsible for overseeing the university's research initiatives, including securing funding, managing research projects, and promoting collaborations with other institutions. Dr. Kanan is passionate about advancing knowledge in his field and works tirelessly to support the efforts of his colleagues and students in achieving their research goals. Throughout his career, Dr. Kanan has published numerous papers and articles on topics related to his research interests. He is a sought-after peer reviewer for several top-tier academic journals and has served on numerous editorial boards. Dr. Kanan is also a dedicated mentor and advisor, helping to guide the next generation of scholars in their pursuit of academic excellence.


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Product Details
  • ISBN-13: 9783031572449
  • Publisher: Springer International Publishing AG
  • Publisher Imprint: Springer International Publishing AG
  • Height: 235 mm
  • No of Pages: 450
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Series Title: 1152 Studies in Computational Intelligence
  • ISBN-10: 3031572440
  • Publisher Date: 09 Aug 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Width: 155 mm


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Business Analytical Capabilities and Artificial Intelligence-enabled Analytics: Applications and Challenges in the Digital Era, Volume 2: (1152 Studies in Computational Intelligence)
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Business Analytical Capabilities and Artificial Intelligence-enabled Analytics: Applications and Challenges in the Digital Era, Volume 2: (1152 Studies in Computational Intelligence)
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