| Title |
Linking big data, sustainable supply chain management and corporate performance: the moderating role of circular economy thinking |
| ID_Doc |
4485 |
| Authors |
Le, TT |
| Title |
Linking big data, sustainable supply chain management and corporate performance: the moderating role of circular economy thinking |
| Year |
2023 |
| Published |
International Journal Of Logistics Management, 34, 3 |
| DOI |
10.1108/IJLM-01-2022-0011 |
| Abstract |
PurposeThis paper aims to assess how big data-driven supply chain management (BDSCM) influences sustainable supply chain management (SSCM) to achieve sustainable corporate performance (SCP) for small and medium-sized enterprises (SMEs) in an emerging economy such as Vietnam, besides exploring whether Circular Economy Thinking Application (CETA) moderates the relationship between BDSCM and SSCM.Design/methodology/approachThis study collected survey data from 495 SMEs in the food supply chain sector. It employed the PLS-SEM (Partial Least-Squares Structural Equation Modeling) technique to evaluate the hypothesized relationships.FindingsThis study found that BDSCM positively, directly and indirectly, impacted SCP. SSCM partially mediated the correlation between BDSCM and SCP. Additionally, CETA moderated the relationship between BDSCM and SSCM. CETA had a direct and positive effect on SSCM.Originality/valueThe insights into how BDSCM influences SSCM to achieve SCP for SMEs in the food value chain in an emerging economy like Vietnam provides an original value. Moreover, the novelty of this study is further reinforced by the coverage of the newfound mechanism, where CETA moderates the relationship between BDSCM and SSCM, directly and positively enhancing SSCM. These contributions could interest business practitioners and academics. |
| Author Keywords |
Big-data-driven supply chain; Sustainable supply chain management; Sustainable firm performance; Circular economy |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Social Science Citation Index (SSCI) |
| EID |
WOS:000892550000001 |
| WoS Category |
Management |
| Research Area |
Business & Economics |
| PDF |
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