The moderation of lean manufacturing effectiveness by dimensions of national culture: Testing practice-culture congruence hypotheses
Thomas J. Kull,
Tingting Yan,
Zhongzhi Liu and
John G. Wacker
International Journal of Production Economics, 2014, vol. 153, issue C, 1-12
Abstract:
The successful use of lean manufacturing (LM) practices requires more than the use of tools. Although manufacturing facilities worldwide use LM practices, dimensions of a nation׳s culture may moderate LM׳s effect on operating performance. Based on operational and organizational behavior literature, we develop moderation hypotheses based on the congruence between dimensions of national culture and LM practices. Data from more than 1400 facilities in 24 countries show that LM is most effective in countries that value high uncertainty avoidance, low assertiveness, low future orientation, and low performance orientation. The results partially support our theory as to how LM effectiveness is sensitive to national cultural dimensions, and will help production managers adapt LM practices worldwide.
Keywords: Lean manufacturing; National culture; Behavioral operations; Practice-culture congruence; Hierarchical linear modeling; Global survey data (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (26)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0925527314000954
Full text for ScienceDirect subscribers only
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:eee:proeco:v:153:y:2014:i:c:p:1-12
DOI: 10.1016/j.ijpe.2014.03.015
Access Statistics for this article
International Journal of Production Economics is currently edited by Stefan Minner
More articles in International Journal of Production Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().