TY  - BOOK
AU  - Kleinman,Gary
AU  - Pai,Dinesh R.
TI  - Applications of management science
T2  - Applications of management science
SN  - 9781800715530
U1  - 658 23
PY  - 2022///
CY  - Bingley, U.K.
PB  - Emerald Publishing Limited
KW  - Management science
KW  - Decision making
KW  - Data envelopment analysis
KW  - Business & Economics
KW  - Management Science
KW  - Management & management techniques
N1  - Includes bibliographical references and index; 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
N2  - 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
UR  - https://doi.org/10.1108/S0276-8976202221
ER  -