Influence of supply chain digitalization on supply chain agility, resilience and performance: environmental dynamism as a moderator

活力 弹性(材料科学) 供应链 适度 业务 供应链管理 供应链风险管理 产业组织 环境资源管理 过程管理 服务管理 计算机科学 环境科学 营销 材料科学 物理 量子力学 机器学习 复合材料
作者
Luay Jum’a,Saad Zighan,Ziad Alkalha
出处
期刊:Journal of Manufacturing Technology Management [Emerald Publishing Limited]
标识
DOI:10.1108/jmtm-08-2024-0423
摘要

Purpose This study aims to examine the impact of supply chain digitalization (SCD) on supply chain performance (SCP) with the integration of supply chain agility (SCA) and supply chain resilience (SCR) in manufacturing firms. Additionally, it investigates the moderating role of environmental dynamism (ED) in these relationships in the context of manufacturing firms. Design/methodology/approach A quantitative research design was employed, utilizing a structured questionnaire to collect data. The sample consisted of 374 valid responses from various managerial levels within manufacturing firms in Jordan. A purposive sampling technique was used to ensure that participants had relevant expertise in supply chain management. The data were analyzed using structural equation modeling (SEM) through Smart PLS software to test the proposed hypotheses. Findings The study found that SCD positively impacts SCP by enhancing both SCA and SCR. Digital technologies were shown to improve supply chain visibility, speed of decision-making and resource efficiency, which are essential for maintaining performance under uncertain conditions. Furthermore, ED significantly moderates the relationship between digitalization and SCP, indicating that the benefits of digitalization on SCA and SCR are more pronounced in highly dynamic environments. Originality/value This study contributes to the literature by offering an investigation on the role of SCD in influencing SCA, SCR and ultimately SCP in manufacturing firms. It also sheds light on the moderating effect of ED, providing a deeper understanding of the conditions under which digital transformation in supply chains is most beneficial. The study was based on three theoretical foundations: the resource-based view (RBV), the dynamic capabilities theory (DCT) and the contingency theory (CT).
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