Managing emergency situations with lean and advanced manufacturing technologies: an empirical study on the Rumbia typhoon disaster

Pu, Xiaodie; Chen, Meng; Cai, Zhao; Yee-Loong Chong, Alain; Hua Tan, Kim

Abstract

Purpose – This study aims to examine the impact of lean manufacturing (LM) on the financial performance of companies affected by emergency situations. It additionally explores the role of advanced manufacturing technologies (AMTs) in complementing LM to enhance financial performance in emergency and nonemergency situations.

Design/methodology/approach – Both survey and archival data were collected from 219 manufacturing companies in China. With longitudinal data collected before and after an emergency situation (i.e. Typhoon Rumbia), regression analysis was conducted to investigate the effects of LM and AMTs on financial performance in different contexts.

Findings – Our results reveal an inverted U-shaped relationship between LM and financial performance in the context of emergency. We also found that AMTs exerted a positive moderation effect on the inverted U-shaped relationship, indicating high levels of AMTs that mitigated the inefficiency of LM in coping with supply chain emergencies.

Research limitations/implications – Through simultaneous investigation of LM and AMTs as bundles of practices and their fit with different contexts, this study takes a systems approach to fit that advances the application of contingency theory in the Operations Management literature to more complex patterns of fit.

Originality/value – This study illuminates how AMTs support LM practices in facilitating organizational performance in different contexts. Specifically, this study unravels the interaction mechanisms between AMTs and LM in influencing financial performance in emergency and non-emergency situations.

• Journal Article Type: Article
• Acceptance Date: Jun 28, 2021
• Online Publication Date: Jul 22, 2021
• Publication Date: Oct 12, 2021
• Deposit Date: Nov 15, 2021
• Publicly Available Date: Nov 18, 2021
• Journal: International Journal of Operations & Production Management
• Print ISSN: 0144-3577
• Peer Reviewed: Peer Reviewed
• Volume: 41
• Issue: 9
• Pages: 1442-1468
• DOI: https://doi.org/10.1108/IJOPM-12-2020-0887
• Keywords: lean manufacturing; advanced manufacturing technologies; supply chain disruption; emergency; financial performance
• Public URL: https://nottingham-repository.worktribe.com/output/6724864
• Publisher URL: https://www.emerald.com/insight/content/doi/10.1108/IJOPM-12-2020-0887/full/html