Unveiling the Influence of Outcome Bias on Decision-making in Organizations : a Systematic Literature Review
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Date
2023
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Abstract
AI-GENERATED ABSTRACT: Abstract: This systematic literature review investigates the role of outcome bias in decision-making processes within organizations. Two tables were created: Table 1 presents selected research papers on outcome bias, summarizing their main arguments and implications. Table 2 categorizes articles into clusters based on themes like judgment, emotion, cognitive biases, and decision-making processes. The research design followed a rigorous process to select high-quality and relevant articles related to outcome bias, considering specific clusters of interest. Inclusion criteria were defined to ensure selected studies contributed to research objectives and met specific requirements. The evaluation of study quality and validity involved examining research methodologies, potential biases, and limitations present in the literature. Ethical guidelines were adhered to throughout the review process. The findings indicate that outcome bias is prevalent and significantly influences evaluative judgments and cognitive mechanisms in decision-making. Practical implications include emphasizing process evaluation, fostering awareness, encouraging diversity, and implementing decision support systems to mitigate the impact of outcome bias. Addressing outcome bias can lead to improved decision quality and enhanced organizational performance. However, challenges such as resistance to change and data accessibility may be encountered. Future research should focus on specific industries, explore contextual factors, and assess the effectiveness of intervention strategies in reducing outcome bias. The knowledge derived from this review empowers decision makers to recognize and address outcome bias, enabling them to make more rational, informed, and successful decisions in various organizational contexts. Keywords: outcome bias, decision-making, organizational performance, cognitive biases, systematic literature review, process evaluation, decision support systems, research methodology, ethical guidelines, intervention strategies