| Title |
Green Open Innovation and Circular Economy: Investigating the Role of Big Data Management and Sustainable Supply Chain |
| ID_Doc |
5035 |
| Authors |
Singh, RK; Mathiyazhagan, K; Scuotto, V; Pironti, M |
| Title |
Green Open Innovation and Circular Economy: Investigating the Role of Big Data Management and Sustainable Supply Chain |
| Year |
2024 |
| Published |
|
| DOI |
10.1109/TEM.2024.3387107 |
| Abstract |
The study delves into the concept of circular economy target (CET) performance in the context of green open innovation (GOI) to understand the role of Big Data management (BDM) and sustainable supply chain performances (SSCPs), including knowledge management (KM). The authors developed a self-administered survey for 294 participants from the cement, electronics, tyres, rubber, and energy sectors. These industries are relevant for their environmental impacts and sustainability challenges. The study's empirical findings emphasize the positive association between BDM with Big Data capability (BDC) and KM. Further, it positively associates with SSCP and CET, especially in the context of GOI. GOI was also observed as a moderating variable in the relationships between BDC-SSCP and KM-SSCP. The conceptual framework elucidates the interaction between BDC, knowledge capabilities, and SSCP. It underscores the collective synergy of these components in achieving CET. This is in the frame of GOI, which intertwines the value chain between territorial actors such as companies, universities, and research institutes that exploit and convert big data into knowledge to get new forms of sustainable innovations. |
| Author Keywords |
Big Data capability (BDC); Big Data management (BDM); circular economy target (CET) performance; green open innovation (GOI); knowledge management (KM); sustainable supply chain performance |
| 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:001229677600005 |
| WoS Category |
Business; Engineering, Industrial; Management |
| Research Area |
Business & Economics; Engineering |
| PDF |
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