冗余(工程)
业务
产业组织
计算机科学
经济
运营管理
计量经济学
操作系统
作者
Amrita Kundu,Stephen J. Anderson,Kamalini Ramdas
出处
期刊:Management Science
[Institute for Operations Research and the Management Sciences]
日期:2024-02-15
卷期号:70 (12): 8265-8283
被引量:12
标识
DOI:10.1287/mnsc.2023.4978
摘要
We study the impact of firm-specific business disruptions on the performance of small emerging market firms and test the effectiveness of building in redundancies to buffer against disruptions. Managerial disruptions result in the absence of the entrepreneur-owner, whereas operational disruptions lead to a shortage of critical resources, for example, inventory or electricity. We propose the use of relational redundancy—that is, the availability of a trusted and capable person with whom the entrepreneur-owner has an existing relationship, who can manage the business in his or her absence—to recover from managerial disruptions. We also examine whether resource redundancy—for example, maintaining safety stock or electricity backup—helps recover from operational disruptions. In the absence of publicly available data, we hand-built a panel data set by interviewing 646 randomly selected small firms over four time periods in Kampala, Uganda. We find that disruptions are highly prevalent and have a statistically and economically significant effect on firm performance. When a firm faces multiple exogenous and severe disruptions in a six-month period, its monthly sales decrease by 13.8% (p = 0.013), and its sales growth decreases by 18.8 percentage points (p = 0.070). Importantly, we find that both managerial and resource redundancies can help firms build resilience against the negative impact of disruptions. In some cases, firms with high levels of redundancy are able to completely overcome the negative effect of disruptions on sales and sales growth. We discuss implications for entrepreneurs, policymakers, and large multinationals that buy from or sell to small emerging market firms. This paper was accepted by Charles Corbett, operations management. Funding: This research was supported by grants from: Deloitte Institute for Innovation and Entrepreneurship (DIIE), the John A. and Cynthia Fry Gunn Faculty Scholar award, London Business School, Stanford Graduate School of Business, Stanford Institute for Innovation in Developing Economies (SEED), and STARS Foundation. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2023.4978 .
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