An investigation of the relationship between lean and well-being based on the job demands-resources model

Author:

Beraldin Andrea Roberto,Danese PamelaORCID,Romano Pietro

Abstract

Purpose The purpose of this paper is to investigate how just-in-time (JIT)-related job demands, problem-solving job demands and soft lean practices (SLPs) jointly influence employee well-being in terms of work engagement and exhaustion. Design/methodology/approach Based on the job demands-resources model, lean-related job characteristics were classified as resources or demands, and a set of hypotheses was developed to test their effect on work engagement and exhaustion, including the potential interaction between job resources and demands. The hypotheses were tested using moderated hierarchical regression and structural equation modelling, based on data from 138 workers. Findings SLPs act as job resources in a lean company, increasing work engagement and reducing exhaustion. Conversely, JIT-related job demands act as a hindrance, reducing work engagement and increasing exhaustion. However, SLPs can reduce the effect of JIT-related job demands on exhaustion, and JIT-related job demands may enhance the positive effects of SLPs on work engagement. Research limitations/implications The study provides no conclusive evidence on the hypothesized role of problem-solving as a challenge job demand. Practical implications The results can guide practitioners’ understanding of how to implement lean without harm to employee well-being. Originality/value By employing a well-grounded psychological model to test the link between lean and well-being, the study finds quantitative support for: the buffering effect of SLPs on exhaustion caused by JIT-related job demands, and for the role of JIT as a hindrance. These novel findings have no precedent in previous survey-based research. In addition, it reveals the importance of studying SLPs at an individual level, as what matters is the extent to which workers perceive SLPs as useful and supportive.

Publisher

Emerald

Subject

Management of Technology and Innovation,Strategy and Management,General Decision Sciences

Reference82 articles.

1. Lean management and innovation performance: evidence from international manufacturing companies;Management Research Review,2019

2. Designed for learning: a tale of two auto plants;Sloan Management Review,1993

3. Structural equation modeling in practice: a review and recommended two-step approach;Psychological Bulletin,1988

4. On the evaluation of structural equation models;Journal of the Academy of Marketing Science,1988

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