EconPapers    
Economics at your fingertips  
 

Pandemic-related inventory management practices and financial performance: exploring the roles of pandemic-related production uncertainty and big data analytics capability

Yongtao Song, Wantao Yu, Mark A. Jacobs and Roberto Chavez

International Journal of Production Research, 2025, vol. 63, issue 17, 6319-6338

Abstract: During the COVID-19 pandemic, many companies began to implement pandemic-related inventory management practices (PRIMP), such as keeping large inventories of critical materials. Despite the cost-related considerations of holding inventory buffers, a crucial question has been raised by both researchers and practitioners: how companies can achieve superior financial performance through the implementation of PRIMP in uncertain and data-rich environments? To address this question, this study explores the moderating role of pandemic-related production uncertainty (PPU) and the mediating role of big data analytics capability (BDAC). Based on the analysis of survey data gathered from manufacturers in China, this study reveals that BDAC fully mediates the PRIMP–financial performance relationship, and that PPU moderates the BDAC–financial performance relationship. The empirical findings offer meaningful guidance for managers to implement PRIMP in uncertain and data-rich times.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/00207543.2025.2470990 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tprsxx:v:63:y:2025:i:17:p:6319-6338

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TPRS20

DOI: 10.1080/00207543.2025.2470990

Access Statistics for this article

International Journal of Production Research is currently edited by Professor A. Dolgui

More articles in International Journal of Production Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-09-05
Handle: RePEc:taf:tprsxx:v:63:y:2025:i:17:p:6319-6338