可持续供应链的绿色数字领导与算法管理:一个序列中介模型

Mahmoud Abdulhadi Alabdali , Muhammad Zafar Yaqub , Josef Windsperger
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引用次数: 0

摘要

供应链面临着来自中断和数字进步的弹性和可持续性挑战,对领导驱动的数字解决方案的见解有限。本研究探讨绿色数字化转型领导(G-DTL)对绿色数字化供应链转型(G-DSCT)和弹性(G-DSCR)的影响。我们研究了算法管理(ALGM)和绿色数字吸收能力(G-DAC)在这些关系中的串行中介作用。利用变革型领导和吸收能力理论,在刺激-生物-反应框架内,我们使用偏最小二乘结构方程模型收集并分析了来自沙特阿拉伯324名供应链专业人员的调查数据。结果证实G-DTL显著正向影响G-DSCT和G-DSCR, ALGM和G-DAC依次介导G-DSCT - G-DSCR关系。在实践中,领导者应积极投资发展绿色数字领导能力,并采用ALGM工具来提高其吸收能力。这种战略组合使组织能够应对中断,确保可持续转型和供应链弹性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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-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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CiteScore
19.20
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