Background: Collaborative Supply Chain is a network of companies, suppliers, manufacturers, distributors and retailers that collaborate to share information, streamline workflows and plan actions to effectively and efficiently meet customer demand. In order to increase responsiveness, save cost, improve product quality and quickly adjust to changes in the marketplace collaboration frequently entails exchanging data, resources and knowledge. With the rapid advancement of technology, it has become essential for businesses to gain a competitive edge by integrating information technology, Internet of Thing (IoT), big data, and cloud computing technologies throughout the supply chain. Although there is an existing framework which consist of five (5) factors which are: collaborative performance system, Decision Synchronization, Integrated Supply Chain Process, Incentive Alignment and Information Sharing, there is a need to improve the system by integrating Data Governance into the supply chain framework and hence, this bridges the gap. Aim: The study aim at improving the existing collaborative supply chain framework by integrating and identifying relevant factors of data governance. Method: The study integrated data governance into a collaborative supply chain framework by considering five (5) additional factors thus: Data Sharing, Frequency, Data anonymity, Shared Analytics and conflict resolution mechanism.Which makes ten (10) factors in the framework. Result: The integration of data governance into the collaborative supply chain framework resulted in an improved collaborative supply chain framework which will in turn, enhance the supply chain management performance in commercial organizations.
No takes yet. Share an insight, caveat, or question.
Mohammed et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: