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Behavioral finance has emerged as a critical lens for understanding financial decision-making in an era characterized by market uncertainty, rapid technological advancements, and increasingly complex corporate structures. This dissertation investigates the multifaceted impact of behavioral finance across three key domains: corporate decision-making, investor behavior, and financial technology (FinTech). By analyzing how psychological biases—such as overconfidence, herding, and loss aversion—influence long-term financial strategies, risk management, market reactions, and digital financial interactions, this study highlights the limitations of traditional rational models. Utilizing a combination of literature review, content analysis, and case-based insights, the dissertation finds that behavioral tendencies play a substantial role in shaping capital structure decisions, investor responses during crises, and user interactions on FinTech platforms. These findings underline the importance of integrating behavioral insights into corporate governance, financial regulation, and technology design to promote more resilient and informed decision-making processes.