Dynamic capabilities for supply chain resilience: a meta-review

动态能力 供应链 独创性 微观基础 弹性(材料科学) 供应链管理 知识管理 系统回顾 过程管理 双灵巧性 业务 计算机科学 管理科学 定性研究 营销 社会学 政治学 工程类 经济 宏观经济学 法学 物理 热力学 梅德林 社会科学
作者
Gernot M. Stadtfeld,Tim Gruchmann
出处
期刊:The International Journal of Logistics Management [Emerald Publishing Limited]
卷期号:35 (2): 623-648 被引量:80
标识
DOI:10.1108/ijlm-09-2022-0373
摘要

Purpose The research on supply chain resilience (SCRES) has gained momentum after organizations have experienced more frequent and severe disruptions, especially with COVID-19 and the Russia/Ukraine conflict. Due to its potential for new practices and capability building, SCRES requires dynamic capabilities (DC) to enable an organization to prepare for, counter, and recuperate from disruptions leading to performance improvements and competitive advantage. Design/methodology/approach The present literature study seeks to enrich the theoretical debate on DC in SCRES, contributing to an advanced understanding of SCRES. Therefore, a meta-review of 83 peer-reviewed literature reviews has been conducted. Based on qualitative content analysis and abductive reasoning, relevant constructs are synthesized to facilitate theory-building for SCRES DC into a comprehensive framework. Findings The analysis reveals that SCRES has developed into an independent research area. Thus, resilience capabilities must be considered bundles of practices, evolving from different areas beyond supply chain risk management (SCRM). Most recent literature reviews on SCRES address more than one practice bundle applying SCRES DC as antecedents of new DC when organizational structures become more mature, leading to path dependencies when building business capabilities. Originality/value Aggregating extant literature on SCRES into a theoretical framework, the study contributes to a better understanding of the relationships between DC and SCRES practices while offering potential avenues for future research. It enriches DC theory by extending its microfoundations towards a holding/buffering dimension, which particularly accounts for the stability-based view of SCRES.
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