Behavioral biases in mergers and acquisitions – Complete Phd and Masters Thesis

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Introduction

Mergers and acquisitions (M&A) are significant events in the business world, as they involve the consolidation of companies for various strategic reasons such as increased market power, synergy creation, and diversification. However, research has shown that a considerable number of M&A deals fail to achieve their intended objectives due to various reasons, one of which is behavioral biases. Behavioral biases are cognitive and emotional tendencies that lead individuals to make irrational decisions, and they can have a significant impact on the M&A process.

This thesis aims to explore the role of behavioral biases in mergers and acquisitions, focusing on how these biases affect decision-making processes, post-merger integration, and overall deal outcomes. By understanding and addressing these biases, companies can improve the success rate of their M&A deals and create more value for all stakeholders involved.

Table of Contents

Chapter 1: Introduction
1.1 Introduction
1.2 Background of Study
1.3 Problem Statement
1.4 Objective of Study
1.5 Limitation of Study
1.6 Scope of Study
1.7 Significance of Study
1.8 Structure of the Thesis
1.9 Definition of Terms

Chapter 2: Literature Review
2.1 Overview of Mergers and Acquisitions
2.2 Behavioral Biases in Decision Making
2.3 Common Behavioral Biases in M&A
2.4 The Impact of Behavioral Biases on M&A Performance
2.5 Strategies to Mitigate Behavioral Biases in M&A
2.6 Empirical Studies on Behavioral Biases in M&A
2.7 Theoretical Frameworks for Understanding Behavioral Biases
2.8 Case Studies on Behavioral Biases in M&A
2.9 Summary of Literature Review
2.10 Research Gap and Research Questions

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Sampling Techniques
3.4 Data Analysis Techniques
3.5 Research Variables
3.6 Hypotheses Development
3.7 Research Model
3.8 Ethical Considerations
3.9 Limitations of Research Methodology

Chapter 4: Discussion of Findings
4.1 Descriptive Statistics
4.2 Hypothesis Testing Results
4.3 Interpretation of Findings
4.4 Implications for Theory
4.5 Implications for Practice
4.6 Recommendations for Future Research

Chapter 5: Conclusion and Summary
5.1 Conclusion
5.2 Summary of Findings
5.3 Practical Implications
5.4 Theoretical Contributions
5.5 Limitations of the Study
5.6 Directions for Future Research

Thesis Overview

Mergers and acquisitions (M&A) are complex transactions that involve various stakeholders and decision-making processes. However, the success rate of M&A deals is often hampered by behavioral biases, which can lead to suboptimal decisions and negative outcomes. This thesis aims to explore the role of behavioral biases in mergers and acquisitions, focusing on how these biases affect decision-making processes, post-merger integration, and overall deal outcomes.

The literature review will provide an overview of M&A, discuss common behavioral biases in decision-making, and examine the impact of these biases on M&A performance. It will also explore strategies to mitigate behavioral biases in M&A, theoretical frameworks for understanding these biases, and empirical studies and case studies on the topic.

The research methodology chapter will outline the research design, data collection methods, sampling techniques, data analysis techniques, research variables, hypotheses development, research model, and ethical considerations. It will also discuss the limitations of the research methodology.

The discussion of findings chapter will present descriptive statistics, hypothesis testing results, interpretation of findings, implications for theory and practice, and recommendations for future research.

The conclusion and summary chapter will provide a summary of findings, practical implications, theoretical contributions, limitations of the study, and directions for future research. By examining the role of behavioral biases in mergers and acquisitions, this thesis aims to contribute to the existing literature and provide valuable insights for practitioners and researchers in the field.

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