Data Analytics and Business Intelligence: Computational Frameworks, Practices, and Applications
9781032039046, 9781032039060, 9781003189640, 2075432016, 0952813021
Business Analytics (BA) is an evolving phenomenon that showcases the increasing importance of using huge volumes of data
136
96
8MB
English
Pages 419
Year 2022
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Table of contents :
Cover
Title Page
Copyright Page
Preface
Table of Contents
List of Contributors
Section I: Operations and Supply Chain Analytics
1. Wholesale Price Strategy of a Manufacturer under Collusion of Downstream Channel Members: A Game-Theoretic Approach
2. AI and ML in Supply Chain Decision Making—A Pragmatic Discussion
3. Assessing Relations of Lean Manufacturing, Industry 4.0 and Sustainability in the Manufacturing Environment
4. Role of Artificial Intelligence in Supply Chain Management
5. Impact of Blockchain in Creating a Sustainable Supply Chain
6. Exploring Adoption of Blockchain Technology for Sustainable Supply Chain Management
Section II: Data Mining, Computational Framework, and Practices
7. Mathematical Model of Consensus and its Adaptation to Achievement Consensus in Social Groups
8. Data to Data Science: A Phenomenal Journey
9. Application of Algorithm on Computational Intelligence and Machine Learning for Product Design: Emerging Needs and Challenges
Section III: Business Intelligence and Analytics Applications
10. HR ANALYTICS: Galvanizing the Organizations with the Prowess of Technology
11. Marketing Analytics—Concept, Applications, Opportunities, and Challenges Ahead
12. Effect of Social Media Usage on Anxiety During a Pandemic: An Analytical Study on Young Adults
13. An Exploratory Study of Understanding Consumer Buying Behaviour Towards Green Cosmetics Products in the Indian Market
14. Analytical Study of Factors Affecting the Adoption of Blockchain by Fintech Companies
15. A Study of the Performances of Small Cap, Large Cap and Banking & Financial Sector Funds of Nippon India AMC, ICICI Prudential AMC and Tata AMC
Index