Advancing lean management: The missing quantitative approach. (2019)

• Record Type: Journal Article
• Authors: Pearce, Antony; Pons, Dirk
• Is Part Of: Operations research perspectives. Volume 6(2019)
• Publication Date: 2019
• Subjects: Lean -- Management -- Review -- Research -- Quantitative -- Structural equation modelling; Operations research -- Periodicals; Management science -- Periodicals; 658.403405
• DOI: 10.1016/j.orp.2019.100114
• Languages: English
• ISSNs: 2214-7160

Abstract

Highlights: The majority of research in lean management has been conceptual or qualitative. Quantitative analyses would verify and strengthen the body of knowledge. These studies should utilise the statistical methods common in managerial sciences. And focus on major factors and not the minor matters addressed in existing studies. Practitioners should not take opinions on lean without an empirical basis. Abstract: For 25 years, the methodologies employed to study lean management have gone relatively unchallenged. This paper reviews the development of the lean body of knowledge and reveals that the vast majority of research, being qualitative, relied heavily on researcher subjectivity. Quantitative analyses are needed to verify and strengthen existing literature and especially confirm the critical factors for lean success. Various theories requiring validation were identified and studies that incorporate Structural Equation Modelling were proposed. Such studies would advance industry practice, giving the tangible statistical evidence needed for educating practitioners. Practitioners are encouraged to consider the empirical basis of lean publications.