Results generated at the micro, meso and macro level that are reflected by stakeholders’ quality of life and values.
Published in Chapter:
Supply Chain Performance in the Industry 4.0 Context: Knowledge Mapping and Analysis
Ramona-Diana Leon (Universitat Politècnica de València, Spain), Raul Rodríguez-Rodríguez (Universitat Politècnica de València, Spain), and Juan-José Alfaro-Saiz (Universitat Politècnica de València, Spain)
Copyright: © 2022
|Pages: 23
DOI: 10.4018/978-1-7998-9715-6.ch001
Abstract
The research aims to explore the topic of supply chain performance in the Industry 4.0 context, based on knowledge mapping. Thus, qualitative and quantitative approaches are combined in a documentary study that uses 354 articles published on Web of Science as a cornerstone. Methods like co-authorship analysis, co-citation analysis, clusters density analysis, and content analysis are employed, and the results bring forward the fact that (1) almost a quarter of the scientific publications regarding supply chain performance in the Industry 4.0 context are concentrated in five high-ranked journals; (2) the most cited articles provide a systematic and content-centric review of the literature, and set the framework for the empirical analysis; (3) the theoretical background of the analyzed articles have their roots in the resource-based theory; and (4) the future research requires establishing a link between supply chain management, Industry 4.0, and sustainable development at the micro, meso, and macro levels.