Impacts of Participatory Design on Data Driven Decision Making in Organisations

Abstract: This thesis explores the impacts of applying participatory design (PD) to data-driven decision-making (DDDM) in organisations. Despite the extensive examination of PD and DDDM individually, there is a noticeable research gap in understanding their integration and their impact on decision-making processes in organisations. This research aims to fill this gap by investigating the potential impacts, challenges, benefits, and critical success factors associated with the incorporation of PD activities into DDDM. The study employs a systematic literature review methodology to provide a comprehensive understanding of the topic. The findings contribute to the development of best practices and guidelines for organizations seeking to optimise their decision-making processes by incorporating participatory design principles into their data-driven decision-making strategies. The research also considers the ethical implications of data-driven decision-making. Ultimately, this thesis advances our understanding of how PD and DDDM can be effectively combined to achieve better decision-making outcomes.