业务
供应商关系管理
背景(考古学)
观点
产业组织
选择(遗传算法)
供应链
依赖关系(UML)
营销
微观经济学
供应链管理
计算机科学
经济
艺术
古生物学
软件工程
人工智能
视觉艺术
生物
作者
Florian Wissuwa,Christian F. Durach,Thomas Y. Choi
标识
DOI:10.1016/j.ijpe.2022.108601
摘要
The selection of suppliers has a long-term impact on the performance of the buying firm. This is true in stable situations as well as in times of uncertainty, such as during the COVID-19 pandemic. Building on the literature on supplier selection criteria that would help identify suppliers that support the success of the buying firm, we identify a previously unnoticed criterion: a supplier's complexity. In this study, we examine the relationship between supplier complexity and buyer disruptions. Normal accident theory suggests that complex firms are more prone to disruption, while social systems theory views firm-level complexity as essential in avoiding disruption. Given these two opposing theoretical viewpoints, this study examines whether and how supplier complexity affects numbers of disruptions experienced by the buyers. Our data collection entails 59 buyer-supplier dyads, extended to a triadic context (i.e., buyer-supplier-supplier), through a survey taken from 118 German manufacturing firms. The results show that both the internal complexity of a supplier and the complexity of the collaboration with other suppliers increases the number of disruptions experienced by the buyer. A high degree of supplier dependence can dampen this effect. These results introduce a supplier's complexity as a relevant criterion for supplier selection and shed light on the moderating influence of supplier dependency.
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