Description
Book SynopsisApplications of Management Science showcases current studies in the application of management science, contributing to the solution of significant managerial decision-making problems. To those involved in the applications of multi-criteria decision making, data envelopment analysis, and decision making, in a realistic managerial problem-solving environment through the use of state-of-the-art management science modeling, this is a must read.
The research presented by academics in Volume 13 significantly aids in the deconstruction of managerial decision-making problems with management science methodologies. Specifically focusing on the applications of management science methodologies data envelopment analysis and multi-criteria decision making, this collection is split into three sections: Data Envelopment Analysis, Optimization Modeling, Business Analytical Modeling.
Applications of Management Science is core for those academics, researchers, and practitioners of management science in mitigating significant managerial decision-making problems, for both the public and the private sectors.
Table of ContentsPart A. Data Envelopment Analysis
Chapter 1. Insurance Company Efficiency Analysis through Data Envelopment Analysis (DEA) during COVID-19 Pandemic; Gao Niu, John Quinn, and Alan Olinsky
Chapter 2. Are All Gold Medal Mutual Funds Equally Efficient?; D.K Malholtra, Rashmi Malholtra, and Robert Nydick
Chapter 3. Covid-19 and Performance of Cosmetics Companies; Rashmi Malhotra, D. K Malhotra, and Shubha Bennur
Chapter 4. Productivity in the New Jersey PPO Health Insurance Industry, 2018; Kenneth D. Lawrence and Sheila M. Lawrence
Chapter 5. Negative Data in Data Envelopment Analysis (DEA); Kenneth D. Lawrence, Sheila M. Lawrence, and Dinesh R. Pai
Part B. Optimization Modeling
Chapter 6. Optimization of the Geothermal Energy for District Heating in the Polish Tatras Region: A Case Study; Bartosz Sawik
Chapter 7. Profitability, Sustainability, and Product Development; Nand K. Jha
Part C. Business Analytical Modeling
Chapter 8. Comprehensive Business Diagnostics of a Company’s Activities; Naila Aliyeva, Sergei Chernov, Liudmila Babaskina, and Mariya Zakharova
Chapter 9. Optimal Bundling of Platform Memberships under Horizontal Cooperation; Xingping Zhang, Feng Yang, Yaqin Hu, and Zhimin Huang
Chapter 10. Mitigating Administrative Fraud in Warranty Service for Remanufactured Products; Aditya Pandit, and Surendra M. Gupta
Chapter 11. Experiential Learning Exercise in an Analytics Class; Ronald Klimberg, Michael Marzano, and Michael Bruening
