供应链
业务
产业组织
供应链管理
实证研究
代理(统计)
面板数据
复杂性理论与组织
营销
微观经济学
经济
计量经济学
管理
计算机科学
组织学习
机器学习
认识论
哲学
作者
Pushpesh Pant,Shantanu Dutta,S.P. Sarmah
出处
期刊:The International Journal of Logistics Management
[Emerald (MCB UP)]
日期:2021-01-29
卷期号:32 (4): 1214-1241
被引量:10
标识
DOI:10.1108/ijlm-06-2020-0239
摘要
Purpose The purpose of this paper is to conduct a large-sample empirical examination of how intangible supply chain complexity impacts firm performance in light of a firm's organizational structure. Design/methodology/approach The study uses panel data from 2,580 Indian manufacturing firms and constructs empirical proxy for intangible supply chain complexity, i.e. CHQ distance from major cities. The proposed conceptual model is grounded in the dynamic capability view (DCV) and social network theory (SNT). Multivariate regression analyses are performed to investigate the effect of intangible complexity on firm performance. Findings Results show that intangible supply chain complexity, as proxied by “CHQ distance from major cities”, negatively affects firm performance and a firm's organizational structure plays an important role in conceiving CHQ locational strategies. Firms with interconnected supply chain and social network (e.g. business group firms) have a higher propensity to locate their CHQs farther away from major cities, and business group firms that have more distantly located CHQs experience better financial performance compared to independent firms (with less network resources). Originality/value In light of the supply chain literature and relevant theories, the study conceptualizes intangible supply chain complexity as “CHQ distance from major cities” and deepens our understanding of the relationship between intangible complexity and firm performance in light of organizational structure. Further, it develops an objective understanding of intangible supply chain complexity by relying on secondary panel data.
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