| Title | Bibliometric Method for Manufacturing Servitization: A Review and Future Research Directions |
|---|---|
| ID_Doc | 67136 |
| Authors | Chen, Y; Wu, ZJ; Yi, WC; Wang, BJ; Yao, JH; Pei, Z; Chen, JL |
| Title | Bibliometric Method for Manufacturing Servitization: A Review and Future Research Directions |
| Year | 2022 |
| Published | Sustainability, 14, 14 |
| Abstract | To gain sustainable development, it is a trend that manufacturing companies are change the value chain from manufacturing-centric to service-centric. Therefore, the capability of the manufacturing service is as significant as the production ability of enterprises, which reflects the supply chain management (SCM), flexible production, production efficiency, and other indicators of the enterprises. It is the first paper to discuss the sustainability of service-oriented manufacturing using bibliometric analysis. It derives a detailed review and future outlook on the development of manufacturing servitization, indicating the research directions for future development, and provides a valuable reference for researchers in related directions. The bibliometric analysis discusses countries or regions, research areas, authors, keywords, institutions, and journals based on the literature data from the Web of Science (WoS). The results show that research on manufacturing services has gradually received attention since its inception and has become popular since 2008. The papers published from 2008 to 2021 account for 77.62%. The USA is the most studied country on this topic, followed by China and the UK. The International Journal of Production Research regarding the most quantity of articles, and Beihang University is the most influential institution in this field. The largest amount of articles published in the area of "business and economics", amounting to 1565 articles. In recent years, the main research areas included "Industry 4.0", "cloud manufacturing (CMfg)", "Internet of Things (IoT)", "big data" and "services innovation". Finally, "digital and intelligent manufacturing" and "product-service systems" are potential research directions for the future. |
| https://www.mdpi.com/2071-1050/14/14/8743/pdf?version=1658130018 |
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