The transition to a circular economy (CE) is increasing the complexity of data processing for purchasing and supply management (PSM), necessitating the adoption of digital technologies. In particular, digital data spaces (DDSs) have gained prominence for facilitating data sharing and collection and allowing secure data exchange. This study explores the information processing capabilities critical for PSM when using DDSs. Using a single case study research design, the study focuses on the DDS Catena-X. Through 20 semi-structured interviews with experts from 12 participating companies, the research explores organizational information processing theory as a theoretical foundation. The results show that DDSs support PSM within the CE by connecting the various actors and through extensive data exchange along the value chain. In addition, the findings identify two critical sets of information capabilities necessary for the effective use of DDSs in PSM: inter-organizational process capabilities and inter-organizational IT-based capabilities. This study contributes to theoretical knowledge within the supply chain management domain by 1) exploring how DDSs benefit the informational capabilities of PSM in CE, 2) investigating the inter-organizational capabilities PSM needs to fully leverage DDSs while 3) introducing the OIPT to the field of circular PSM utilizing DDSs.
Whether and how manufacturing firms can enhance their overall sustainability performance through the implementation of circular procurement management is still unclear and under-researched. Drawing on the socio-technical systems theory, this study develops a theoretical model and explores the potential impacts of circular procurement management on manufacturing firms’ sustainability performance (i.e., economic, environmental, and social performance) while examining the moderating role of digital traceability and collaboration. Based on survey data from 250 Chinese circular economy manufacturing firms, this study uses hierarchical regression to analyze the impact mechanism and boundary of circular procurement management on sustainability performance. The empirical results show that (1) Circular procurement management in manufacturing firms can significantly improve economic, environmental, and social performance; (2) Digital traceability positively moderates the effect of circular procurement management on both environmental and social performance; (3) Collaboration positively moderates the effect of circular procurement management on both economic and environmental performance; and (4) The impact of circular procurement management on environmental performance is positively and interactively moderated by digital traceability and collaboration.
In a platform supply network, a platform owner uses a digital platform to link other firms such as suppliers, customers, logistics firms and other service firms for resource combination to manage supply chains in a comprehensive manner. Resources from different providers are combined on the platform to create value for suppliers. The literature on the Service-Dominant Logic (SDL) has implied that resource density (defined as the optimal combination of resources) is key to value co-creation. Resource density is enhanced when the number and variety of resources and/or their combinability at the opportune time and place are boosted. Yet the process by which the platform owner, complementors (independent companies providing complementary services) and suppliers interact to make this happen is still unclear. This research aims to explore how these three kinds of actors interact to build a resource density situation that guarantees satisfactory value creation in a platform supply network. Based on a qualitative study of a Business-to-Business (B2B) e-commerce digital platform, we identify three mechanisms through which these companies achieve resource density. The findings demonstrate how the mechanisms for achieving resource density manifest in the platform supply network context. We reveal that resource density can be achieved at three different levels, and that artificial intelligence and digital platforms play key roles in optimizing resource density.