Decision Making Optimization Models for Business Partnerships
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Product details:
- Edition number 1
- Publisher Chapman and Hall
- Date of Publication 13 June 2025
- ISBN 9781032382487
- Binding Hardback
- No. of pages374 pages
- Size 234x156 mm
- Language English
- Illustrations 45 Illustrations, color; 19 Line drawings, black & white; 26 Line drawings, color; 59 Tables, black & white 700
Categories
Short description:
Decision Making Optimization Models for Business Partnerships extends non-parametric Data Envelopment Analysis (DEA) and parametric econometrics approaches to better understand how economic efficiency and market competitiveness is achieved for different types of partnerships and strategic alliances.
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Long description:
Efficiency and productivity improvement are imperative for businesses to remain competitive in an increasingly dynamic marketplace. While business organizations have the potential to thrive independently, collaborating with others fosters a collective strength that can lead to greater innovation, expanded reach, and shared success.
Decision making optimization models for business partnerships are essential, as businesses seldom have all the resources they need, and thus, they require alliances and partnerships with others to enable them to meet their goals. Decision Making Optimization Models for Business Partnerships extends non-parametric data envelopment analysis (DEA) and parametric econometrics approaches to better understand how economic efficiency and market competitiveness are achieved for different types of partnerships and strategic alliances.
Features
? Global contributions for a wide range of professionals and academics
? Invaluable resources for businesses, analysts, and academics interested in DEA, optimization, and operations research more widely
? Introduces readers to novel approaches, models, and decision making techniques on performance evaluation and business partnerships via the medium of parametric and nonparametric optimization.
MoreTable of Contents:
Chapter 1: Introduction to Data Envelopment Analysis Models
Gholam R. Amin and Mustapha Ibn Boamah
Chapter 2: Review of Econometrics Methods for Business Partnerships
Mustapha Ibn Boamah, Gholam R. Amin, and Thomas Patstone
Chapter 3: Uncertain Data Envelopment Analysis: Theory, Algorithms, and Applications
Casey Garner, Allen Holder and Nat Hurtig
Chapter 4: Planning large scale partnerships in the hotel industry - An Inverse DEA perspective
Amar Oukil
Chapter 5: Centralized DEA model for resource allocation among internal business partnerships
Ming-Miin Yu, Bo Hsiao and Kok Fong See
Chapter 6: Inverse Data Envelopment Analysis Ratio Models for Business Mergers
Mehdi Soltanifar, Mojtaba Ghiyasi, and Hamid Sharafi
Chapter 7: New inverse data envelopment analysis models for optimizing greenhouse gas emissions reduction in business mergers
Gholam R. Amin and Mustapha Ibn Boamah
Chapter 8: Undesirable factors in sustainability improvement using DEA: Potential of Business Partnerships
Behrouz Arabi and Sonal Choudhar
Chapter 9: Public-private Partnership to Invest in the Small and Medium-sized Enterprises in Taiwan and the Determinants of Investment Efficiency
Shu-Chin Huang, Chung Wei Chiu, Shao-Fang Chen, and Yu-Han Wang
Chapter 10: Economic Efficiency of Mergers
Subhash C Ray
Chapter 11: Data Envelopment Analysis for Mergers and Acquisitions Transactions: Avenues of Research Toward Efficiency Gains
Said GATTOUFI, Nabil KTIFI, and Mokhtar LAABIDI
Chapter 12: Two-Stage Data Envelopment Analysis with Application of an Assurance Region to the Best-Practice Frontier
Jon A. Chilingerian and Mitchell P.V. Glavin
Chapter 13: Inverse data envelopment analysis in mergers: origin and recent development
Gholam R. Amin and Mustapha Ibn Boamah
Index
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