透视图(图形)
检验
供应链
弹性(材料科学)
业务
服务提供商
过程管理
供应链管理
服务(商务)
编配
知识管理
计算机科学
营销
热力学
物理
艺术
生物
视觉艺术
人工智能
音乐剧
遗传学
作者
David M. Herold,Lorenzo Bruno Prataviera,Katarzyna Nowicka
出处
期刊:The International Journal of Logistics Management
[Emerald (MCB UP)]
日期:2024-04-10
标识
DOI:10.1108/ijlm-02-2023-0077
摘要
Purpose During the supply chain disruptions caused by COVID-19, logistics service providers (LSPs) have invested heavily in innovations to enhance their supply chain resilience capabilities. However, only little attention has been given so far to the nature of these innovative capabilities, in particular to what extent LSPs were able to repurpose capabilities to build supply chain resilience. In response, using the concept of exaptation, this study identifies to what extent LSPs have discovered and utilized latent functions to build supply chain resilience capabilities during a disruptive event of high impact and low probability. Design/methodology/approach This conceptual paper uses a theory building approach to advance the literature on supply chain resilience by delineating the relationship between exaptation and supply chain resilience capabilities in the context of COVID-19. To do so, we propose two frameworks: (1) to clarify the role of exaptation for supply chain resilience capabilities and (2) to depict four different exaptation dimensions for the supply chain resilience capabilities of LSPs. Findings We illustrate how LSPs have repurposed original functions into new products or services to build their supply chain resilience capabilities and combine the two critical concepts of exploitation and exploration capabilities to identify four exaptation dimensions in the context of LSPs, namely impeded exaptation, configurative exaptation, transformative exaptation and ambidextrous exaptation. Originality/value As one of the first studies linking exaptation and supply chain resilience, the framework and subsequent categorization advance the understanding of how LSPs can build exapt-driven supply chain resilience capabilities and synthesize the current literature to offer conceptual clarity regarding the varied implications and outcomes linked to the repurposing of capabilities.
科研通智能强力驱动
Strongly Powered by AbleSci AI