A Systematic Review of “The Performance of Knowledge Organizations and Modelling Human Action”

• Satarova, Begaiym ^[1] ; Siddiqui, Tuba ^[1] ; Raza, Hassan ^[1] ; Abbasi, Navid ^[1] ; Kydyrkozha, Sultan ^[1]
  1. [1] "La Sapienza" University
• Localización: Socioeconomic Analytics, ISSN-e 2965-4661, Vol. 1, Nº. 0, 2023 (Ejemplar dedicado a: Inaugural Issue), págs. 56-77
• Idioma: inglés
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• Resumen

  • The purpose of this systematic review is to examine the performance of knowledge organizations and the role of modelling human action in improving organizational performance. Using the PRISMA scheme, a comprehensive search of relevant databases and sources was conducted to identify relevant articles. A total of 15 articles were selected based on predefined criteria, including relevance to the research question and quality assessment. The articles were analyzed and synthesized to identify key findings and trends. The findings suggest that knowledge organizations that focus on knowledge management capabilities and human resource configurations tend to perform better than those that do not. Additionally, modelling human action, such as through simulation and decision-making tools, can help organizations improve their performance by providing insights into the effects of different actions and strategies. However, the effectiveness of such models depends on their accuracy and the ability of organizations to use them effectively. Overall, this systematic review provides insights into the factors that contribute to the performance of knowledge organizations and the potential benefits of modelling human action. Future research can build on these findings by exploring additional factors that may influence organizational performance and by developing more advanced models for predicting and improving organizational outcomes.