【研究论文】Supplier sustainability assessment in the age of Industry 4.0 - Insights from the electronics industry

Matthess, M., Kunkel, S., Xue, B., Beier, G.

发布时间:2022-05-05    来源:韩彬/HAN Bin

 【文章摘要】Achieving transparency of the social and environmental impacts of industrial production poses significant obstacles for companies operating in complex lobal supply chains. They often do not possess sufficient information of other actors, especially at lower tiers in the supply chain. In recent years, data collection and information exchange in industry has been increasingly assisted by digital technologies, coining the term Industry 4.0. However, it remains largely unknown how companies try to foster transparency in their supply chains and how digital technologies are utilized for this purpose. In this study, we employ a qualitative, interview‐based approach from both buyers’ and suppliers’ perspectives to investigate practices of supplier sustainability assessments in the electronics industry as well as their current and envisioned utilization of digital technologies. With regard to the exchange of ustainability‐related information, we find that buying firms do not consistently check for the availability of digital interfaces to suppliers. Systematic and well‐structured collection of such data is rare in suppliers, relying on manual self‐assessments and lacking the means of automated data collection. This poses difficulties for buying firms to ensure validity of sustainability performance claims, highlightedby the fact that not all buying firms analyze suppliers’ self‐assessments. To overcome such issues, ongoing industry‐wide efforts of standardizing sustainability requirements should be extended to include strategic considerations of streamlining technology implementation to enhance data availability and validity.
【文章信息】Matthess, M., Kunkel, S., Xue, B., Beier, G., Supplier sustainability assessment in the age of Industry 4.0 – Insights from the electronics industry[J]. Cleaner Logistics and Supply Chain 2022, 4, 10038. https://doi.org/10.1016/j.clscn.2022.100038
Fig. 1. Boundary conditions and digital solutions for supplier sustainability assessment.