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.
Edited by:
Gholam R. Amin,
Mustapha Ibn Boamah
Imprint: Chapman & Hall/CRC
Country of Publication: United Kingdom
Dimensions:
Height: 234mm,
Width: 156mm,
ISBN: 9781032382487
ISBN 10: 1032382481
Pages: 366
Publication Date: 13 June 2025
Audience:
Professional and scholarly
,
Undergraduate
Format: Hardback
Publisher's Status: Forthcoming
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
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.
