Enhancing Decision Making through Professional Judgment and Comprehensive Information Analyses

Abstract

The integration of professional judgment and comprehensive information analyses in organizational decision-making processes is a multifaceted endeavor aimed at enhancing decision-making effectiveness. This study explores this integration, examining its dynamics, implications, and challenges within organizational contexts. The purpose of the study is to elucidate the synergistic potential of combining human expertise with computational capabilities to optimize decision outcomes. Employing a qualitative research methodology, a systematic literature review approach was adopted to synthesize existing literature from academic databases such as PubMed, Scopus, and Google Scholar. The findings and discussion highlight the complementary nature of professional judgment and information analyses, emphasizing the need for a balanced approach that leverages the strengths of both perspectives. Professional judgment offers adaptability and context sensitivity, while information analyses through decision support systems (DSS) provide objectivity and systematic processing of data. However, both approaches have limitations, including susceptibility to biases in professional judgment and challenges related to data quality and interpretability in information analyses. The implications of this integration extend to organizational decision-making practices, emphasizing the importance of fostering a culture of evidence-based decision-making and providing decision-makers with the necessary tools and resources. By embracing integrated decision-making approaches, organizations can enhance decision-making effectiveness and navigate the complexities of their contexts with confidence.