This study explores the impacts of participatory design (PD) on data-driven decision-making (DDDM) in organisations. Despite the extensive examination of PD and DDDM individually, there is a dearth of research 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 paper provides a research agenda for future researchers as well as discussing best practices for organizations seeking to optimise their data driven decision-making processes in a participatory manner. The research also discussed the ethical implications of data-driven decision-making. Ultimately, this research advances our understanding of how PD and DDDM can be effectively combined to achieve better decision-making outcomes.

In this paper a mixed-integer linear programming (MILP) model is developed to be used as a decision support tool for the chemical company Perstorp Oxo AB. The intention with the mathematical model is to maximize the profit and the model can be used in the process of planning the supply chain for the company. Perstorp Oxo is classified as a global company in the process industry and is has production sites in Gent, Castellanza, Stenungsund and Perstorp. The site in Stenungsund is in focus in this paper. The company produces chemicals that later are used for example in textiles, plastic and glass production. Perstorp Oxo also uses inventories in other countries for enabling the selling abroad. It has two larger inventories in Antwerp and in Tees and two smaller in Philadelphia and in Aveiro. The larger facilities store five different products and the smaller take care of one type each. To be able to find feasible and profitable production plans for the company we have developed and implemented rolling horizon techniques for a time horizon of one year and used real sales data. The outcomes from the model show the transportation of products between different production sites, the different production rates, the levels of inventory, setups and purchases from external suppliers. The numerical results are promising and we conclude that a decision support tool based on an optimization model could improve the situation for the planners at Perstorp Oxo AB.

The Pakistani banking sector has shown tremendous growth in the last two decades and witnessed strategic reforms including the implementation of Basel regulations. The objective of this study is to investigate the effect of Basel capital regulations on the various proxies of the financial performance of the Pakistani commercial banks. This study uses three different proxies to assess the effectiveness of the Basel capital regulations on the financial performance of Pakistani commercial banks from 2006 to 2018 and quantifies the effect of different Basel accords on the banking sector of Pakistan using the dynamic panel data estimation technique. In addition, the effect of the Global Financial Crisis (2008) on the financial performance of Pakistani banks has also been evaluated. The results indicate that Basel II and Basel III capital regulations have affected the banks’ profitability differently. Capital regulations of Basel II have increased the performance while capital requirements of Basel III have not affected the financial performance of Pakistani banks, pointing towards the ineffectiveness of Basel III capital regulations. Besides, there has been no change observed in the financial performance of Pakistani banks during the Global Financial Crisis (2008). Overall, the results of the Generalized Method of Moments (GMM) technique show that Basel capital regulations enhance the financial performance of the Pakistani banking sector.