Wantao Yu , Chee Yew Wong , Mark A. Jacobs , Roberto Chavez
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引用次数: 0
Abstract
Shocks caused by COVID-19 pandemic have compelled manufacturers to decrease their reliance upon just-in-time (JIT) and embrace a more just-in-case (JIC) approach. This study clarifies the right configurations of JIT and JIC under low/high upstream and downstream shocks. Drawing upon contingency theory and configuration theory, a framework is developed to differentiate configurations of JIT/JIC under low/high magnitude SC shocks. Survey data from China's manufacturing industry, which experienced SC shocks due to COVID-19, are analysed by regression and sub-group analyses. The results show that only upstream shocks have a negative impact on operational performance. The effect of JIC (but not JIT) on operational performance is strengthened by upstream and downstream shocks. When shocks are high, increasing JIC is effective only when JIT is low. These empirical findings demonstrate that manufacturers can improve operational performance by emphasising JIC models under high SC shocks. Those with high JIT benefit from low JIC under low shock settings.
期刊介绍:
The International Journal of Production Economics focuses on the interface between engineering and management. It covers all aspects of manufacturing and process industries, as well as production in general. The journal is interdisciplinary, considering activities throughout the product life cycle and material flow cycle. It aims to disseminate knowledge for improving industrial practice and strengthening the theoretical base for decision making. The journal serves as a forum for exchanging ideas and presenting new developments in theory and application, combining academic standards with practical value for industrial applications.