813
Views
3
CrossRef citations to date
0
Altmetric
Review

Lean manufacturing and human resources: a systematic literature review on future research suggestions

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 468-495 | Published online: 07 May 2022
 

Abstract

The purpose of the present study is to identify and classify future research suggestions of Lean Management (LM) which are related to human resources (HR) aspects. Based on a systematic literature review (SLR) of peer reviewed journal articles in LM, a total of 147 articles published in 35 journals during, 2016–2020 by four major management science publishers were collected. The LM-HR future research suggestions identified in the literature were classified into themes through applying the ‘affinity diagram’ which then were prioritised through the ‘Pareto diagram’. An increase in the number of articles with LM-HR future research suggestions is observed during the review period and the study highlights the need for considerable attention to be paid to future suggestions related to training, managerial, cultural and performance aspects of LM. Classification of themes reveals five broad theme categories, namely ‘top and middle management’, ‘employees’, ‘work features’, ‘LM implementation and results’ and ‘national and organisational culture’.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The data that support the findings of this study are available from the corresponding author, [MK], upon reasonable request.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 404.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.