Applications of management science
Author(s)
Bibliographic Information
Applications of management science
（Applications of management science / Series Editor, Kenneth D. Lawrence, Dinesh R. Pai, v. 21）
Emerald Pub., 2022
- [v. 21] : print
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
Applications 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 Contents
- Part 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
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