Green digital leadership and algorithmic management for sustainable supply chains: A serial mediation model
Supply chains face resilience and sustainability challenges from disruptions and digital advancements, with limited insight into leadership-driven digital solutions. This study investigates how green digital transformational leadership (G-DTL) influences green digital supply chain transformation (G-...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | International Journal of Information Management Data Insights |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667096825000254 |
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| Summary: | Supply chains face resilience and sustainability challenges from disruptions and digital advancements, with limited insight into leadership-driven digital solutions. This study investigates how green digital transformational leadership (G-DTL) influences green digital supply chain transformation (G-DSCT) and resilience (G-DSCR). We examine the serial mediation roles of algorithmic management (ALGM) and green digital absorptive capacity (G-DAC) in these relationships. Utilizing transformational leadership and absorptive capacity theories within the stimulus–organism–response framework, we collected and analyzed survey data from 324 supply chain professionals in Saudi Arabia using partial least squares structural equation modeling. The results confirm that G-DTL significantly and positively impacts G-DSCT and G-DSCR, with ALGM and G-DAC sequentially mediating the G-DTL–G-DSCR relationship. Practically, leaders should proactively invest in developing green digital leadership competencies and adopt ALGM tools to enhance their absorptive capacity. This strategic combination enables organizations to tackle disruptions, ensuring sustainable transformation and supply chain resilience. |
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| ISSN: | 2667-0968 |