
Decision Making Optimization Models for Business Partnerships
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Decision Making Optimization Models for Business Partnerships
About this 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 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.
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Information
Table of contents
- Cover Page
- Half Title page
- Title Page
- Copyright Page
- Contents
- Preface
- Chapter 1 Introduction to Data Envelopment Analysis Models
- Chapter 2 Review of Econometrics Methods for Business Partnerships
- Chapter 3 Uncertain Data Envelopment Analysis: Theory, Algorithms, and Applications
- Chapter 4 Planning Large-Scale Partnerships in the Hotel Industry: An Inverse DEA Perspective
- Chapter 5 Centralized DEA Model for Resource Allocation Among Internal Business Partnerships
- Chapter 6 Inverse Data Envelopment Analysis Ratio Models for Business Mergers
- Chapter 7 New Inverse Data Envelopment Analysis Models for Optimizing Greenhouse Gas Emissions Reduction in Business Mergers
- Chapter 8 Undesirable Factors in Sustainability Improvement Using DEA: Potential of Business Partnerships
- Chapter 9 Public-Private Investment Partnership: A Case of Small and Medium-Sized Enterprises in Taiwan
- Chapter 10 Economic Efficiency of Mergers
- Chapter 11 Data Envelopment Analysis for Mergers and Acquisitions Transactions: Avenues of Research Toward Efficiency Gains
- Chapter 12 Two-Stage Data Envelopment Analysis With Application of an Assurance Region to the Best-Practice Frontier
- Chapter 13 Inverse Data Envelopment Analysis in Mergers: Origin and Recent Development