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      Lean manufacturing practices in Indian manufacturing SMEs and their effect on sustainability performance

      , , ,
      Journal of Manufacturing Technology Management
      Emerald

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          Abstract

          Purpose

          The relevance of small and medium enterprises (SMEs) in contributing to the economy and social development is increasingly felt in the current business environment. Focusing on sustainable development, SMEs have also implemented many acting strategies of large-scale enterprises such as lean and green practices. The purpose of this paper is to investigate the linkage between lean manufacturing practices (LMPs) in SMEs and their sustainability performances. Further, this study explores the relationship between the triple bottom line sustainability performances.

          Design/methodology/approach

          The study is based on a survey conducted and data collected from 252 manufacturing SMEs in India. The hypothesized relationships are then analyzed with structural equation modeling.

          Findings

          The outcome of the analysis shows that LMPs are positively associated with various sustainability performances categorized as economic, environmental, and social performances. Further, this study shows that environmental sustainability is correlated with economic and social sustainability performances.

          Research limitations/implications

          The study conducted was limited to a particular state in India. Moreover, the study uses the data from a cross-sectional survey from single respondents.

          Practical implications

          The findings of the study become an added advantage for the managers to convince their various stakeholders for implementing LMPs in SMEs.

          Originality/value

          The research findings provide theoretical and practical insights to derive the importance of LMPs in maximizing sustainability performances. It gives an enhanced perspective of the importance of LMPs on the sustainability performance of SMEs.

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          Most cited references111

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          Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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            Coefficient alpha and the internal structure of tests

            Psychometrika, 16(3), 297-334
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              Multivariate Data Analysis

              For graduate courses in Marketing Research, Research Design and Data Analysis. For the non-statistician, this applications-oriented introduction to multivariate analysis reduces the amount of statistical notation and terminology used while focusing on the fundamental concepts that affect the use of specific techniques.
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                Author and article information

                Journal
                Journal of Manufacturing Technology Management
                JMTM
                Emerald
                1741-038X
                July 03 2017
                July 03 2017
                : 28
                : 6
                : 772-793
                Article
                10.1108/JMTM-12-2016-0188
                7e7c0b24-bbfd-4ae2-afce-2c883eff1bde
                © 2017

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