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Decision Making Optimization Models for Business Partnerships

Decision Making Optimization Models for Business Partnerships

          
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About the Book

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 is 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.

Table 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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Product Details
  • ISBN-13: 9781040340608
  • Publisher: Taylor & Francis Ltd
  • Publisher Imprint: Chapman and Hall
  • Language: English
  • ISBN-10: 1040340601
  • Publisher Date: 15 May 2025
  • Binding: Digital (delivered electronically)


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