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Decision Making Optimization Models for Business Partnerships

Gholam R. Amin Mustapha Ibn Boamah

This book provides a comprehensive guide to using quantitative optimization models, primarily Data Envelopment Analysis (DEA) and econometrics, to evaluate, plan, and enhance the economic efficiency and competitiveness of business partnerships, mergers, and strategic alliances.

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What it’s about

In an increasingly dynamic marketplace, strategic partnerships are essential for competitive advantage, yet deciding whom to partner with and how to structure the collaboration for maximum benefit is a complex challenge. 'Decision Making Optimization Models for Business Partnerships' is the first book of its kind to extend non-parametric Data Envelopment Analysis (DEA) and parametric econometric approaches to systematically evaluate and plan for business alliances. Moving beyond traditional financial metrics, this collection of works by global experts introduces readers to foundational and advanced models, including inverse DEA for pre-merger planning, uncertain DEA for handling imperfect data, and specialized models for minimizing undesirable outputs like GHG emissions. Through clear explanations and practical case studies, this book equips business leaders, analysts, and academics with the tools to measure potential efficiency gains, select optimal partners, and make robust, data-driven decisions that foster shared success and sustainable growth.

The through-line

Who it’s for
A business leader, analyst, or academic who wants to make smarter, data-driven decisions about business partnerships, mergers, and strategic alliances to gain a competitive edge and improve organizational efficiency.
The problem
They need to evaluate potential partnerships and mergers but lack rigorous, forward-looking models to accurately predict efficiency gains, select the best partners, or determine optimal resource allocation strategies. They feel uncertain about these high-stakes decisions, fearing they might choose the wrong partner, fail to realize promised synergies, or make costly strategic mistakes based on incomplete analysis.
The plan
  1. Master the fundamentals of Data Envelopment Analysis (DEA) to measure and benchmark productive efficiency.
  2. Learn advanced and Inverse DEA models to plan for mergers, allocate resources, and handle complexities like undesirable outputs and data uncertainty.
  3. Apply these powerful optimization models to make superior, evidence-based decisions for your own business partnerships and strategic alliances.
The payoff
Confidently evaluate potential mergers and partnerships with rigorous analytical tools. · Select the best partners and structure alliances for maximum efficiency and competitive advantage. · Become a go-to expert in using quantitative methods for high-impact strategic business decisions.

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