Demystifying the Role of Leanness, Agility, Innovativeness, and Sustainability in Manufacturing Industries: A Systematic Review and Meta-Analysis

Babber, Gulshan; Keshav, Shashi

doi:10.1149/10701.3953ecst

Cited by 2 publications

(2 citation statements)

References 24 publications

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“…Supply chain agility has been studied across a wide range of industries; auto components through research-based view (Dubey et al, 2018), electronics (Tse et al, 2016;Wu et al, 2017), fashion and textiles (Chan et al, 2017), oil and gas (Yusuf et al, 2014), and manufacturing industries (Al-Shboul, 2017;Kim and Chai, 2017). Babber and Keshav (2022) carried out systematic review from 1991 to 2020 on manufacturing leanness, agility, innovativeness and sustainability in manufacturing industries. Kumar et al (2022) investigate the influence of agile manufacturing attributes namely leadership support, human-related issues, customer-related issues and information technology on business performance using partial least squares structural equation modeling (PLS-SEM).…”

Section: Outsourcing Partner Selection Criteriamentioning

confidence: 99%

“…Supply chain agility has been studied across a wide range of industries; auto components through research-based view (Dubey et al ., 2018), electronics (Tse et al ., 2016; Wu et al ., 2017), fashion and textiles (Chan et al ., 2017), oil and gas (Yusuf et al ., 2014), and manufacturing industries (Al-Shboul, 2017; Kim and Chai, 2017). Babber and Keshav (2022) carried out systematic review from 1991 to 2020 on manufacturing leanness, agility, innovativeness and sustainability in manufacturing industries. Kumar et al .…”

Section: Literature Reviewmentioning

confidence: 99%

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A novel stochastic fuzzy decision model for agile and sustainable global manufacturing outsourcing partner selection in footwear industry

Akhtar

Gunasekaran

Kayıkçı

2023

JEIM

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PurposeThe decision-making to outsource and select the most suitable global manufacturing outsourcing partner (MOP) is complex and uncertain due to multiple conflicting qualitative and quantitative criteria as well as multiple alternatives. Vagueness and variability exist in ratings of criteria and alternatives by group of decision-makers (DMs). The paper provides a novel Stochastic Fuzzy (SF) method for evaluation and selection of agile and sustainable global MOP in uncertain and volatile business environment.Design/methodology/approachFour main selection criteria for global MOP selection were identified such as economic, agile, environmental and social criteria. Total 16 sub-criteria were selected. To consider the vagueness and variability in ratings by group of DMs, SF method using t-distribution or z-distribution was adopted. The criteria weights were determined using the Stochastic Fuzzy-CRiteria Importance Through Intercriteria Correlation (SF-CRITIC), while MOP selection was carried out using Stochastic Fuzzy-VIseKriterijumskaOptimizacija I KompromisnoResenje (SF-VIKOR) in the case study of footwear industry. Sensitivity analysis was performed to test the robustness of the proposed model. A comparative analysis of SF-VIKOR and VIKOR was made.FindingsThe worker’s wages and welfare, product price, product quality, green manufacturing process and collaboration with partners are the most important criteria for MOP selection. The MOP3 was found to be the best agile and sustainable global MOP for the footwear company. In sensitivity analysis, significance level is found to have important role in MOP ranking. Hence, the study concluded that integrated SF-CRITIC and SF-VIKOR is an improved method for MOP selection problem.Research limitations/implicationsIn a group decision-making, ambiguity, impreciseness and variability are found in relative ratings. Fuzzy variant Multi-Criteria Decision-Making methods cover impreciseness in ratings but not the variability. On the other hand, deterministic models do not cover either. Hence, the stochastic method based on the probability theory combining fuzzy theory is proposed to deal with decision-making problems in imprecise and uncertain environments. Most notably, the proposed model has novelty as it captures and reveals both the stochastic perspective and the fuzziness perspective in rating by group of DMs.Practical implicationsThe proposed multi-criteria group decision-making model contributes to the sustainable and agile footwear supply chain management and will help the policymakers in selecting the best global MOP.Originality/valueTo the best of the authors’ knowledge, SF method has not been used to select MOP in the existing literature. For the first time, integrated SF-CRITIC and SF-VIKOR method were applied to select the best agile and sustainable MOP under uncertainty. Unlike other studies, this study considered agile criteria along with triple bottom line sustainable criteria for MOP selection. The novel method of SF assessment contributes to the literature and put forward the managerial implication for improving agility and sustainability of global manufacturing outsourcing in footwear industry.

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Section: Outsourcing Partner Selection Criteriamentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

A novel stochastic fuzzy decision model for agile and sustainable global manufacturing outsourcing partner selection in footwear industry

Akhtar

Gunasekaran

Kayıkçı

2023

JEIM

View full text Add to dashboard Cite

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Achieving sustainability through the integration of lean, agile, and innovative systems: implications for Indian micro small medium enterprises (MSMEs)

Babber,

Mittal

2023

JSTPM

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Purpose The purpose of this study is to learn how the incorporation and use of leanness, agility and innovation in Indian manufacturing micro, small and medium enterprises (MSMEs) affect their bottom lines and how much these factors contribute to the MSMEs’ ability to meet their long-term sustainability goals. Design/methodology/approach The suggested model was subjected to data validation and additional empirical validation using a sample of 411 Indian manufacturing MSMEs. The analysis of construct measures is conducted through the utilization of confirmatory factor analysis, a statistical technique that is grounded in the theoretical framework of structural equation modeling (SEM). In addition, path model analysis was applied for the purpose to validate the assumptions that were included in the structural models. Findings Consistent with the proposed model, the findings of this study demonstrate that leanness, agility and innovation have a substantial favorable impact on the sustainability of a company’s performance. These findings may be helpful in gaining professionals, academics and policymakers to acknowledge the significance of leanness, agility and innovation in enhancing the long-term sustainability of MSMEs and enhancing the overall performance of a particular company. This research excluded the service industries-based research papers. Research limitations/implications Many research in the field of manufacturing industries that have adopted leanness, agility, innovativeness and sustainability as individual approaches or as a collective methodology of two or more were considered in the current study. This research excluded the service industries-based research papers. Practical implications This literature review has recognized and analyzed various dimensions and roles of leanness, agility, innovativeness and sustainability that are prevalent in manufacturing industries that include the positive and negative effects on the performance of the industries. The research enlightens the path and shows future directions for research to develop efficient, effective and sustainable manufacturing industries. Social implications By promoting the concept of focusing on the “human factor”, namely, stakeholder perspectives, the MSME sector is propagating a strategy that moves away from an excessive focus on technology and toward a more humane one. Through the application of the three key concepts of leanness, agility and innovation, this work aims to create a framework for measuring the sustainability performance of micro-, small- and medium-sized enterprises (MSMEs), with the ultimate goal of assisting the country in achieving the Sustainable Development Goals in the fields of industry, innovation and infrastructure by supporting environmentally friendly and resource-conserving businesses that give back to society and the natural environment. Originality/value The objective of this research is to assess the importance and effectiveness of integrating various approaches such as leanness, agility, innovativeness and sustainability within the framework of manufacturing micro, small, and medium enterprises (MSMEs). The authors hope that by going further into these concepts, they will be able to broaden their understanding and get a more comprehensive insight into the role that these concepts play and how they might be successfully used within this environment.

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Demystifying the Role of Leanness, Agility, Innovativeness, and Sustainability in Manufacturing Industries: A Systematic Review and Meta-Analysis

Cited by 2 publications

References 24 publications

A novel stochastic fuzzy decision model for agile and sustainable global manufacturing outsourcing partner selection in footwear industry

A novel stochastic fuzzy decision model for agile and sustainable global manufacturing outsourcing partner selection in footwear industry

Achieving sustainability through the integration of lean, agile, and innovative systems: implications for Indian micro small medium enterprises (MSMEs)

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