Impact of technical and social lean practices on SMEs’ performance in automobile industry: a structural equation modelling (SEM) analysis

Reducing non-value added (NVA) activities through lean tools for the precast industry

Lean management is a strategic approach that is used in construction industry, specifically aims at minimizing and ultimately eliminating non-value-adding activities, commonly referred to as waste, within construction projects. However, an increase in non-value added (NVA) activities within the precast industry has the potential to diminish both productivity and efficiency. The aim of this paper is to investigate the use of lean tools for minimizing NVA activities in the construction industry. A comprehensive literature review, the study identified Unnecessary Inventory (UI), Waiting Time (WT), Overproduction (OP), and Unnecessary Movement (UM) as major NVA activities that affect the precast industry. A structured questionnaire was designed and conducted among precast industry professionals and lean experts to collect data. The data was then analyze using partial least square test-structural equation modelling, including reliability and validity tests, to ensure data quality. Results indicated that the precast industry professionals widely utilized Just-in-time (JIT), Continuous Improvement (CI), and Total Quality Management (TQM) as lean tools to reduce NVA activities. A conceptual path model was developed to assess the impact of Lean tools on NVA activities. The results of the analysis reveal a strong positive relationship between Lean tools and NVA activities, with a β value of 0.654. The findings of this study can be used for improving the productivity of construction projects by focusing on how to minimize NVA activities using lean tools in precast industry.

Risk factors influencing tunnel construction safety: Structural equation model approach

At present, the global tunnel construction industry is developing rapidly, but construction accidents are also common. A large number of casualties and property losses are alarming people. It is urgent to pay attention to the causes of tunnel construction accidents, ensure the safety of construction sites, and reduce tunnel construction accidents. Through literature and case analysis, we have sorted out 35 typical tunnel causative factors for research and analysis, which are divided into 7 types. Based on the variable system, we prepared a measurement questionnaire, and 536 valid questionnaires were collected. The structural equation model (SEM) was used to study the relationship between these variables. The influence mechanism and interaction relationship between the variables are analyzed in depth in terms of influence intensity and path coefficient. The results showed that the following six latent variables significantly influence tunnel construction accidents: human factors, material factors, geological exploration design, technical management, safety management, and natural conditions. Natural conditions have the most significant impact, followed by human factors and safety management. Particular attention should be paid to education, training, and safety management in construction risk control. The structural model and research results are helpful to establish the cause theory of tunnel construction accidents, and guide the formulation of safety management policies for tunnel construction projects, reduce tunnel accidents and ensure construction safety.

Improving operational performance of manufacturing SMEs: the interactive effect of technical and human lean practices

Purpose

Although understanding how different resources are interconnected within firms is important, there are few studies that have focused on this area. This study aims to explore the unique and interactive effects of technical lean practices (TLPs) and human lean practices (TLPs) on the operational performance (OP) of manufacturing SMEs in Yemen, a less developed country (LDC).

Design/methodology/approach

Depending on data collected from 318 manufacturing SMEs in Yemen, the relationships in the proposed model were tested using hierarchical regression analysis via PROCESS Macro V. 3.5 in SPSS.

Findings

The results show that both TLPs and HLPs have unique effects on OP of SMEs. More importantly, both TLPs and HLPs have synergistic effects on OP.

Practical implications

The study would be of interest to Lean practitioners, as the results of this study can be used in firms to put a focus on how TLPs and HLPs have to interact when it comes to the successful implementation of lean manufacturing (LM).

Originality/value

Although research interest in LM is increasing, the interactive effects of TLPs and HLPs remain to be understood. This study provides an initial empirical evidence for performance outcomes from the interaction between TLPs and HLPs of SMEs in LDCs such as Yemen. Most of the previous studies on lean practices have focused on SMEs in developed countries, which may not fully apply to LDCs such as Yemen. This is helpful for SMEs' managers in the context of LDCs to understand how TLPs can further improve OP when interacting with HLPs.

Lean Six Sigma Impact Analysis on Sustainability Using Partial Least Squares Structural Equation Modeling (PLS-SEM): A Literature Review

The Lean Six Sigma (LSS) philosophy and sustainability have become topics of interest since the 1990s; they have generally been analyzed together since 2012. Numerous professionals, managers, and researchers have sought methodologies by which to assess their impact and know their effectiveness within companies. During the past decade, the application of partial least squares structural equation modeling (PLS-SEM) has been widely accepted in various modeling, prediction, or multivariate analyses as a way to measure the impact of LSS on sustainability. This study conducts a literature review to identify the use of PLS-SEM in measuring the impact of LSS on sustainability. A systematic review methodology has been employed, applying five search criteria to three scientific database platforms. This approach has been helpful to identify PLS-SEM as a valuable methodology for measuring the impact of LSS on sustainability. One of the research findings is that LSS practices positively impact 83% of economic indicators, 78% of environmental indicators, and 70% of social indicators. This article creates a theoretical foundation for future research on these issues, outlining research opportunities to generate future studies. It also allows researchers and managers who are interested in improving sustainability indicators to access valuable knowledge regarding what types of LSS tools could be used.

Country-related future research agenda of Lean Manufacturing–A systematic literature review

Purpose

Many future research proposals of Lean Manufacturing (LM) are presented in the literature. The purpose of this paper is to determine these future research proposals of LM which are country-related and classify them.

Design/methodology/approach

A systematic literature review (SLR) of peer-reviewed journal articles in LM was conducted. A total of 145 articles published in 34 journals during 2010–2020 were collected from four major management science publishers namely, Emerald Online, Elsevier/Science Direct, Springer Link and Taylor and Francis. The country-related future research proposals of LM identified in the literature were classified according to, firstly, the continent of the country of reference, and secondly, some form of natural affinity of these proposals creating meaningful themes. The quality tool “affinity diagram” was applied to classify the country-related future research proposals of LM.

Findings

The country-related future research proposals of LM, which are increasing in the literature over time, refer mostly to studies to be conducted in several continents/countries and to multinational studies. Conducting studies specifically in Asia, Europe, South and North America, Africa and Australia–New Zealand is also suggested. The plethora of the country-related future research proposals of LM were classified, based on the affinity of their content, into 18 meaningful themes. These themes were also classified based on their affinity into two broad categories, namely “themes concerning the LM approach itself” and “themes concerning factors outside the LM approach”.

Research limitations/implications

The restricted number of the databases searched and the subjectivity of classifying the large number of the country-related future research proposals into themes are the main limitations of the present SLR. Based on these limitations, future literature review studies can be carried out.

Practical implications

Useful proposals are provided to researchers of several countries for conducting original and country-specific research studies which can enrich the knowledge of the implementation of LM under the specific circumstances of a country for the benefit of practitioners.

Originality/value

This study goes beyond previous literature review studies on LM by focusing exclusively on the LM future research agenda which is country related. The analytical presentation of the country-related future research proposals as well as the formulation of clusters of these proposals make the present SLR study substantially different from those carried out worldwide so far.

Impact of lean service, workplace environment, and social practices on the operational performance of India post service industry

This paper aims to study the determinants of the Lean Service System (LSS) on the Operational Performance (OP) of India's mail service in the National Sorting Hub (NSH), Mangaluru, Karnataka, the southern part of India. Measuring the OP in mail service is a big challenge in the postal service industry. Hence, we have conducted a survey, and 150 usable data has measured the impact of Lean Service Practices (LSP), Lean Workplace Environment Practices (LWEP), and Lean Social Practices (LSoP) on the OP. The results are analyzed from the partial least square based structural equation modelling (PLS-SEM) with the support of R programming. The analysis shows that there is positive and significant impact of LSP (β = 0.380, p < .05), followed by LWEP (β = 0.281, p < .05), and LSoP (β = 0.266, p < .05) on OP. The practical effect of the findings of LSS are effectively implemented for enhancing the OP of the business. This research addresses the appropriate empirical model to test LSS in India's postal service industry, which is scant in the existing literature. Moreover, this study helps India Post to review its policy so as to sustain the effectiveness of Lean Service (LS) implementation.