| Title |
A Scientometric Analysis of Remanufacturing by Mapping Scientific, Organizational, and National Concentration Zones |
| ID_Doc |
68264 |
| Authors |
Ozcan, S; Corum, A |
| Title |
A Scientometric Analysis of Remanufacturing by Mapping Scientific, Organizational, and National Concentration Zones |
| Year |
2021 |
| Published |
Ieee Transactions On Engineering Management, 68, 4 |
| DOI |
10.1109/TEM.2019.2924199 |
| Abstract |
The considerations of global sustainability have dramatically increased the importance of the remanufacturing process. Many scholars have started focusing on this vital area from both a management and an engineering point of view. Previous studies have aimed to categorize this area using traditional review approaches, using a smaller body of literature and mostly focusing on the managerial aspects of remanufacturing. Our paper is the only study for which tech-mining and scientometric methods are used to examine remanufacturing research, for the purpose of identifying top actors and key trends with regard to business and technological approaches. We combine both management- and engineering-related studies in this scientometric study. The results shed light on the principal actors, nations, organizations, and scientific domains in this field. Remanufacturing research is categorized using the co-occurrence-based clustering method. This paper identifies four broad research clusters: production planning and control of remanufacturing, material and remanufacturing engineering, supply chain management of remanufacturing process, and remanufacturing applications and new trends. This paper offers benefits to numerous parties: policymakers in the remanufacturing field, academics who wish to see the research domains, and those practitioners interested in the key management, processes, and technologies of remanufacturing activities. |
| Author Keywords |
Bibliometrics; Manufacturing; Economics; Sustainable development; Industries; Organizations; Data visualization; remanufacturing; sciento-metrics; tech-mining; technology analysis |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:000652795400011 |
| WoS Category |
Business; Engineering, Industrial; Management |
| Research Area |
Business & Economics; Engineering |
| PDF |
https://researchportal.port.ac.uk/files/14697432/Ozcan.pdf
|