A conceptual decision support system framework for applying detective analytics

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.