A conceptual decision support system framework for applying detective analytics

Abstract

The implementation of detective analytics continues to be challenging for many organisations. The challenges could be attributed to a lack of a decision support system (DSS) framework for applying detective analytics. Thus, this study was conducted following the qualitative method in which existing materials (literature) were gathered covering a wide spectrum. Translation of actor-network theory (ANT) was applied as a lens for the data analysis. The findings reveal three primary critical factors affecting the implementation of detective analytics: a lack of understanding of the interrelationships between various actors, inconsistent application of analytical methods, and the selection of inappropriate decision techniques. Based on these factors, a conceptual DSS framework is proposed. The conceptual DSS framework aims to address these issues by offering a more structured approach to integrating detective analytics into decision-making processes. The DSS framework has implications for both technology and business personnel. The paper contributes to the growing body of knowledge on improving the application of detective analytics in organisations.