Decision Making Optimization Models for Business Partnerships

1. Auflage 2025
ISBN: 978-1-032-38248-7
Verlag: Taylor & Francis Ltd

Buch, Englisch, 374 Seiten, Format (B × H): 156 mm x 234 mm

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.

Zielgruppe

Academic

Autoren/Hrsg.

Amin, Gholam R.

Boamah, Mustapha Ibn

Fachgebiete

• Mathematik | Informatik Mathematik Operations Research
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Wirtschaftswissenschaften Betriebswirtschaft Management

Inhaltsverzeichnis

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 Choudhary

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

Über Autor(innen)

Gholam R. Amin is Associate Professor of Management Science in the Faculty of Business at the University of New Brunswick, Saint John, Canada. He is an associate editor of the IMA Journal of Management Mathematics at Oxford University Press. Dr. Amin’s research interests include performance measurement, productivity and efficiency analysis through data envelopment analysis, optimization, and inverse optimization approaches. Dr. Amin has published in several leading international journals including Operations Research (FT-50), European Journal of Operational Research, Journal of Productivity Analysis, Annals of Operations Research, International Journal of Production Research, Journal of the Operational Research Society, Computers and Operations Research, Computers & Industrial Engineering, Applied Mathematical Modeling, International Journal of Approximate Reasoning, International Journal of Intelligent Systems, ABACUS, Soft Computing, International Journal of Performance Analysis in Sport, Health Economics, Policy and Law, European Journal of Sport Science, Journal of Intelligent Manufacturing, International Journal of Computer Mathematics, and IMA Journal of Management Mathematics among others.

Mustapha Ibn Boamah is Professor of Economics in the Faculty of Business at the University of New Brunswick, Saint John, Canada. Dr. Ibn Boamah’s research interests include open-economy macroeconomics, monetary economics, international finance, and the economics of financial institutions. He has published in various peer-reviewed journals including publications in the Review of Financial Economics, Atlantic Economic Journal, Strategic Change, Social Responsibility Journal, International Journal of Organizational Analysis, International Journal of Social Economics, Managerial and Decision Economics, Annals of Operations Research, and the European Journal of Operational Research.