Too much of a lean thing? The impact of inventory leanness on circular economy performance

Purpose Effective inventory management matters for a firm’s circular economy (CE) performance due to its relevance to waste reduction and slack resource creation. Thus, drawing on the resource orchestration theory, we investigate the influence of inventory leanness on a firm’s CE performance and the boundary conditions of this link. Design/methodology/approach The hypotheses are tested using fixed-effects models applied to a large-scale panel dataset of Chinese manufacturing firms spanning the period from 2012 to 2022. Various additional analyses are conducted to verify the robustness of the results. Findings The results reveal an inverse U-shaped relationship between inventory leanness and CE performance, where both low and high levels of inventory leanness are associated with poorer CE performance than a moderate level of leanness. We further demonstrate that the turning point of the inverse U-shape, where CE performance is maximized, occurs at a lower level of inventory leanness when the firm exhibits higher labor productivity. Finally, our empirical results suggest that the firm’s market power moderates the relationship by flattening the curve, causing the marginal effect of inventory leanness on CE performance to decrease at a decreasing rate. Originality/value The findings of the present research provide nuanced theoretical insights into inventory management and CE literature. Moreover, our identification of the optimal level of inventory leanness offers valuable practical implications for firms seeking to “do more with less.”

Authors

Institutions

Publication Details

Journal
Journal of Manufacturing Technology Management
Published
2025-08-11
DOI
https://doi.org/10.1108/jmtm-01-2025-0069
Citations
3
Primary Topic
Sustainable Supply Chain Management
Type
article
Field-Weighted Citation Impact
6.68
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Too much of a lean thing? The impact of inventory leanness on circular economy performance

Mingjie Fang, Kum Fai Yuen, Diancen Xie, Lanhui Cai et al.
3 citations
Journal of Manufacturing Technology Management
Sustainable Supply Chain Management
6.68
article

Too much of a lean thing? The impact of inventory leanness on circular economy performance

Mingjie Fang, Kum Fai Yuen, Diancen Xie, Lanhui Cai, Xueqin Wang
article en
3 citations

Abstract

Purpose Effective inventory management matters for a firm’s circular economy (CE) performance due to its relevance to waste reduction and slack resource creation. Thus, drawing on the resource orchestration theory, we investigate the influence of inventory leanness on a firm’s CE performance and the boundary conditions of this link. Design/methodology/approach The hypotheses are tested using fixed-effects models applied to a large-scale panel dataset of Chinese manufacturing firms spanning the period from 2012 to 2022. Various additional analyses are conducted to verify the robustness of the results. Findings The results reveal an inverse U-shaped relationship between inventory leanness and CE performance, where both low and high levels of inventory leanness are associated with poorer CE performance than a moderate level of leanness. We further demonstrate that the turning point of the inverse U-shape, where CE performance is maximized, occurs at a lower level of inventory leanness when the firm exhibits higher labor productivity. Finally, our empirical results suggest that the firm’s market power moderates the relationship by flattening the curve, causing the marginal effect of inventory leanness on CE performance to decrease at a decreasing rate. Originality/value The findings of the present research provide nuanced theoretical insights into inventory management and CE literature. Moreover, our identification of the optimal level of inventory leanness offers valuable practical implications for firms seeking to “do more with less.”

Journal of Manufacturing Technology ManagementVol. 37(1)
Nanjing Agricultural University (CN), Nanyang Technological University (SG), Chung-Ang University (KR)
Openalex Percentile: Top 4%
Sustainable Supply Chain Management
6.68
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.