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Article
Publication date: 1 December 2020

Charanjit Singh, Davinder Singh and Jaimal Singh Khamba

Lean and green strategies are good options to increase the environmental and operational performance of manufacturing industries. The purpose of this paper is to identify…

Abstract

Purpose

Lean and green strategies are good options to increase the environmental and operational performance of manufacturing industries. The purpose of this paper is to identify the critical success factors (CSFs) to implement green lean practices (GLPs) in manufacturing industries through the review of the literature and to develop a conceptual model after analysing the fundamental facilitating factors by using ISM-MICMAC approach.

Design/methodology/approach

The methodology consists of identifying 12 critical success factors (CSFs) for the green lean implementation by reviewing the relevant available literature. The views of eight experts are valued for inter-relationships of these factors. ISM-MICMAC approach is used for analysing the relations between factors and to develop a conceptual model for green lean implementation.

Findings

Twelve CSFs are identified through a review of the literature to adopt GLPs in manufacturing industries. This paper has established the relationships among 12 identified CSFs using the ISM methodology. This paper analyses the dependence power and the driving power of identified CSFs with the help of MICMAC analysis. “Top management commitment” and “Government support” are the most significant CSFs implement GLPs successfully.

Research limitations/implications

The ISM model presented in this study is based on expert opinions. But expert opinions may be biased as these are based on their own judgements. However, the proposed ISM based model needs statistically validations. The ISM model in the present study may be tested in real-world situations of manufacturing industries where results obtained may be different.

Practical implications

This study may provide a useful input for academicians and managers of industries to differentiate between independent and dependent CSFs and their mutual relationships which would help them to focus on those key CSFs that are most significant to implement GLPs.

Originality/value

A conceptual ISM model of identified CSFs shows the different levels of these CSFs. This model may help the manufacturer to implement the green-lean strategies. It may also support policymakers towards adopting GLPs. Arranging CSFs in a hierarchy and to categorise the CSFs into different levels with the help of ISM-MICMAC is an exclusive effort in the area of green lean engagement.

Details

Journal of Science and Technology Policy Management, vol. 12 no. 4
Type: Research Article
ISSN: 2053-4620

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Article
Publication date: 10 January 2020

Eunice Cristyl del Pilar, Irish Alegado and Miriam Fabroa Bongo

The premature closure of microbusinesses has become a prevalent issue that demands to be seriously addressed due to the major economic contribution it provides…

Abstract

Purpose

The premature closure of microbusinesses has become a prevalent issue that demands to be seriously addressed due to the major economic contribution it provides particularly to developing countries. The purpose of this paper is to establish and further analyze a set of critical failure factors (CFFs) that aid in the systematic decision-making and strategic management of stakeholders.

Design/methodology/approach

A comprehensive literature review is conducted to gather CFFs and an interpretative structural modeling with Matriced’ Impacts Croise’s Multiplication Appliquée a UN Classement (ISM-MICMAC) analysis is applied to investigate the structural relationships among CFFs by extracting its inherent characteristics according to its driving power and dependence power. In order to illustrate the methodology, a case study is conducted in Cebu, the Philippines.

Findings

It is interesting to note that inadequate government programs information is deemed the most crucial for stakeholders to tackle as its impact on the premature closure of microbusinesses is highly significant. Drawing from this key result, directions for potential strategies for getting evidence-based research into policy and practice in the micro-business sector in the Philippines, and other developing countries, are provided.

Originality/value

Lastly, the contribution of this work is two-fold and is aimed at policymakers and managers. For one, this study is the first to establish a set of CFFs specifically aimed at the level of microbusinesses, a seriously under-researched business sector, which can aid and influence domestic policymakers. For another, a framework that will facilitate business managers in carrying out organization’s strategy development process have been provided.

Details

Journal of Small Business and Enterprise Development, vol. 27 no. 1
Type: Research Article
ISSN: 1462-6004

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Article
Publication date: 25 October 2021

Hemant Sharma, Nagendra Sohani and Ashish Yadav

Today the role of industry 4.0 plays a very important role in enhancing any supply chain network, as the industry 4.0 supply chain uses Big Data and advanced analytics to…

Abstract

Purpose

Today the role of industry 4.0 plays a very important role in enhancing any supply chain network, as the industry 4.0 supply chain uses Big Data and advanced analytics to inform the complete visibility. Latest data are available to bring clarity and support real-time decision-making in the entire supply chain that’s why adopting optimization techniques such as lean manufacturing and lean supply chain concept for enhancing the supply chain network of the organizations is a good idea and would benefit them in increasing their cost efficiency and productivity. The purpose of this work is to develop a technique, which may be useful for future researchers and managers to identify and classification of the significant lean supply chain enablers.

Design/methodology/approach

In this paper, the authors considered hybrid analytical hierarchy process to find the ranking of the identified lean supply chain enablers by calculating their weightage. Interpretive structural modeling (ISM) is applied to develop the structural interrelationship among various lean supply chain management enablers. Considering the results obtained from ISM the Matrices d'Impacts Croises Multiplication Appliqué a un Classement (MICMAC) analysis is done to identify the driving and dependence power of Lean Supply Chain Management Enablers (LSCMEs).

Findings

Further, the best results applying these methodologies could be used to analyze their inter-relationships for successful Lean supply chain management implementation in an organization. The authors developed an integrated model after the identification of 20 key LSCMEs, which is very helpful to identify and classify the important enablers by ISM methodology and explore the direct and indirect effects of each enabler by MICMAC analysis on the LSCM implementation. This will help organizations optimize their supply chain by selective control of lean enablers.

Practical implications

For lean manufacturing practitioners, the result of the study can be beneficial where the manufacturer is required to increase efficiency and reduce cost and wastage of resources in the lean manufacturing process, as well as in enhancing the supply chain.

Originality/value

This paper is the first research paper that considered firstly deep literature review of identified lean supply chain enablers and second developed structured modeling of various lean enablers of supply chain with the help of various methodologies.

Details

Journal of Engineering, Design and Technology , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1726-0531

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Article
Publication date: 22 March 2021

Mahipal Singh and Rajeev Rathi

Lean six sigma (LSS) has attained a prominent position in mature organizations but small- and medium-sized enterprises (SMEs) are struggling in the proper implementation…

Abstract

Purpose

Lean six sigma (LSS) has attained a prominent position in mature organizations but small- and medium-sized enterprises (SMEs) are struggling in the proper implementation of LSS in their core business. This study aims to make a comprehensive analysis of LSS implementation barriers in SMEs so that LSS execution can be much fluent in SMEs.

Design/methodology/approach

This research work is carried out based on investigation of LSS barriers through extensive literature review. For validating the identified barriers, a questionnaire survey was conducted, and out of 400 samples, 260 responses received back. The collected responses are analyzed statistically and found 16 significant barriers. The finalized barriers are modeled using interpretive structural modeling (ISM) and clustered them through matrice d’impacts croisés-multiplication appliquée a un classement (MICMAC) analysis. Furthermore, to check the consistency of results, ISM-MICMAC outcomes are validated through structural equation modeling (SEM).

Findings

The result reveals that 16 LSS implementation barriers are finalized through expert’s opinion and validated through statistical reliability test with Cronbach’s alpha value of 0.820. The ISM model reveals that the management relevant barriers are exhibiting the leading role to influence the implementation of LSS in SMEs. Moreover, the obtained results validated through SEM are found in good agreement.

Research limitations/implications

During pairwise comparisons, there may be some prejudice and subjectivity as human judgments are engaged.

Practical implications

This study provides impetus to practitioners and consultant for the initiation of LSS in the business organization through tackling the LSS barriers as per their driving and dependence power.

Originality/value

In the past, limited studies had explored the LSS barriers, but a few studies analyzed the mutual relationship between barriers. No such study is reported in literature that validates the mutual interaction model of LSS barriers. Hence, this paper presents the original research work of identification and modeling of barriers associated with LSS implementation in SMEs through hybrid ISM-SEM approach.

Details

International Journal of Lean Six Sigma, vol. 12 no. 6
Type: Research Article
ISSN: 2040-4166

Keywords

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Article
Publication date: 29 October 2021

Hannan Amoozad Mahdiraji, Moein Beheshti, Seyed Hossein Razavi Hajiagha, Niloofar Ahmadzadeh Kandi and Hasan Boudlaie

Due to the political, economic and infrastructure barriers and risks that international entrepreneurs (IEs) face when researching an emerging economy's agrifood sector…

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Abstract

Purpose

Due to the political, economic and infrastructure barriers and risks that international entrepreneurs (IEs) face when researching an emerging economy's agrifood sector, this research aims to identify the major barriers, analyse their relationships, quantify their importance, classify and rank them. Thus, the IEs will gain a better understanding and vision of their decision-making processes in this era.

Design/methodology/approach

To do this, the authors first created a list of barriers to entry for IEs into Iran's rising economy's agrifood industry. Following that, a multi-layer decision-making approach was developed and implemented to accomplish the research objectives. The first stage utilized a hybrid of interpretive structural modelling (ISM) and cross-impact matrix multiplication applied to classification (MICMAC) to depict the level-based conceptual model and classification of the IEs’ obstacles to entry into the agrifood sector. Following that, a hybrid decision-making trial and evaluation laboratory (DEMATEL), and analytic network process (ANP) called DANP was utilized to present a causal relationship between the barriers, identify their causes and effects, and also quantify the relevance of each barrier.

Findings

After employing the multi-layer decision-making approach, the results demonstrated that fundamental limitations, including infrastructure and technology limitations, are the most critical barriers alongside policy factors encompassing governmental support and access to global or regional economy/market. According to the results, innovation and economic sustainability of the agrifood supply chain also matter. All of these critical barriers are intertwined and should be planned and solved simultaneously. Furthermore, based on DANP results, the sustainability pillars (economy, environment, society), besides the low efficiency of the agrifood sector in Iran, should be investigated further for future policy makings.

Originality/value

A hybrid multi-layer decision-making approach has been used for analysing the barriers of investment in the agrifood sector of the emerging economy of Iran for the international entrepreneurs. Moreover, the authors provide implications and insights for IEs and officials for decision-making in the future.

Details

British Food Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0007-070X

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Article
Publication date: 10 July 2021

Mohammad Ajmal Nikjow, Li Liang, Qi Xijing and Harshad Sonar

The historic Belt and Road Initiative (BRI) is an economic reform policy proposed by the Chinese Government that focuses on connectivity, improved collaboration and more…

Abstract

Purpose

The historic Belt and Road Initiative (BRI) is an economic reform policy proposed by the Chinese Government that focuses on connectivity, improved collaboration and more robust economic relations. This paper aims to identify risks involved in BRI infrastructure project and establish a hierarchical relationship among them.

Design/methodology/approach

The methodology includes two phases, namely, identification of significant risks involved in the BRI project using systematic literature review and to develop a hierarchical relationship between the risks using interpretive structural modeling followed by the MICMAC analysis.

Findings

This work has identified the 11 risks of BRI infrastructure projects through academic literature. Based on the analysis, economic risk (R3), environmental risk (R1) and political risk (R2) are placed at level six in the ISM model and can significantly influence BRI infrastructure projects. These risks have high driving power, which exaggerates other risks.

Research limitations/implications

This study would help Engineering Procurements and Construction contractors in strategic decision-making select risk mitigation strategies and make robust and efficient infrastructure projects. However, additional factors may be considered, which are essential for the BRI infrastructure project.

Originality/value

This research’s novelty lies in the advancement of expertise in project risk assessment. This study contributes by identifying the most significant risks involved in the BRI project. The integrated ISM-MICMAC approach provides a macro picture of BRI project risks to formulate better strategies for its success.

Details

Journal of Modelling in Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-5664

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Article
Publication date: 12 February 2021

Nripendra P. Rana, Yogesh K. Dwivedi and D. Laurie Hughes

Blockchain is one of the most significant emerging technologies that is set to transform many aspects of industry and society. However, it has several major technical…

Abstract

Purpose

Blockchain is one of the most significant emerging technologies that is set to transform many aspects of industry and society. However, it has several major technical, social, legal, environmental and ethical complexities that offer significant challenges for mainstream use within the public sector. The coronavirus disease 2019 (COVID-19) pandemic has compelled many public sector employees to work remotely, highlighting a number of challenges to blockchain adoption within the Indian context signifying the pertinence of this research topic in the post-pandemic era. This study offers insight to researchers and policymakers alike on how such challenges are interdependent within this important subject.

Design/methodology/approach

We explored 16 unique sets of challenges selected from the literature and gathered data from nine experts from government settings, healthcare and education sectors and academia who have significant knowledge and experience of blockchain implementation and use in their respective organisations. The implementation of Interpretive Structural Modelling (ISM) and Matriced' Impacts Croise's Multiplication Appliquée a UN Classement (MICMAC) provided a precise set of driving, linkage and dependent challenges that were used to formulate the framework.

Findings

The developed ISM framework is split into six different levels. The results suggest that the bottom level consists of challenges such as “Lack of standards (C9)” and “Lack of validation (C10)” form the foundation of the hierarchical structure of blockchain adoption. However, the topmost level consists of a highly dependent challenge termed “adoption of blockchain in the public sector (C16)”. The research filters the selected set of five challenges to develop a parsimonious model and formulated six propositions to examine the impact of “lack of standard (C9)”, “lack of validation (C10)” on “security issues (C3)” and “privacy concerns (C2)”, which eventually determine individuals' “reluctance to use blockchain technology (C12)”.

Originality/value

This research fills a key gap in exiting research by exploring the key challenges in blockchain adoption within the public sector by developing a valuable framework to model this important topic. To the best of our knowledge, this is the first paper to address these challenges and develop a parsimonious model for challenges of blockchain adoption in the public sector settings.

Details

Information Technology & People, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0959-3845

Keywords

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Article
Publication date: 9 December 2020

Sorokhaibam Khaba, Chandan Bhar and Ankita Ray

The purpose of this research is to identify and study the contextual relationships of the significant lean enablers in the Indian coal mining industry using the…

Abstract

Purpose

The purpose of this research is to identify and study the contextual relationships of the significant lean enablers in the Indian coal mining industry using the application of interpretive structural modeling (ISM), matrice d' impacts croisés-multiplication appliquée á un classement (MICMAC) and structural equation modeling (SEM).

Design/methodology/approach

In this study, a conceptual model based on ISM was developed forming a hierarchy and contextual relationships of significant enablers for lean implementation in the Indian coal mining industry using a literature review and eliciting expert opinion, which is followed by MICMAC for grouping of enablers and questionnaire survey to validate the ISM based conceptual model using SEM.

Findings

The study modeled and analyzed ten significant enablers of lean implementation in the Indian coal mining industry. The findings suggest that the most important lean enablers in the Indian coal mining industry are employee empowerment, employee motivation and commitment, consistent financial performance measurement and management support.

Research limitations/implications

Judgmental sampling was used for selecting the respondents for conducting the questionnaire survey in this research work as there are a few numbers of coal mines implementing lean principles in India. Although the study was not restricted to a particular part of India with the sample representing the heterogeneous population, the study represents more data from the coal mines in eastern India.

Practical implications

The model on lean enablers would help the researchers, decision-makers and practitioners to anticipate potential lean enablers in the Indian coal mines and rank the enablers for improved and efficient usage of the available resources creating value to customers with lean and to sustenance academic research on lean.

Originality/value

Studies on lean enablers in the mining sector are scarce in the literature, and this study is a novel contribution of exploring lean enablers in the Indian coal mining industry using an integrated approach of ISM–MICMAC and SEM.

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Article
Publication date: 23 October 2020

Harshad Sonar, Vivek Khanzode and Milind Akarte

The purpose of this paper is to identify various factors influencing additive manufacturing (AM) implementation from operational performance in the Indian manufacturing…

Abstract

Purpose

The purpose of this paper is to identify various factors influencing additive manufacturing (AM) implementation from operational performance in the Indian manufacturing sector and to establish the hierarchical relationship among them.

Design/methodology/approach

The methodology includes three phases, namely, identification of factors through systematic literature review (SLR), interviews with experts to capture industry perspective of AM implementation factors and to develop the hierarchical model and classify it by deriving the interrelationship between the factors using interpretive structural modeling (ISM), followed with the fuzzy Matrice d’Impacts Croisés Multiplication Appliqués à un Classement (MICMAC) analysis.

Findings

This research has identified 14 key factors that influence the successful AM implementation in the Indian manufacturing sector. Based on the analysis, top management commitment is an essential factor with high driving power, which exaggerates other factors. Factors, namely, manufacturing flexibility, operational excellence and firm competitiveness are placed at the top level of the model, which indicates that they have less driving power and organizations need to focus on those factors after implementing the bottom-level factors.

Research limitations/implications

Additional factors may be considered, which are important for AM implementation from different industry contexts. The variations from different industry contexts and geographical locations can foster the theoretical robustness of the model.

Practical implications

The proposed ISM model sets the directions for business managers in planning the operational strategies for addressing AM implementation issues in the Indian manufacturing sector. Also, competitive strategies may be framed by organizations based on the driving and dependence power of AM implementation factors.

Originality/value

This paper contributes by identification of AM implementation factors based on in-depth literature review as per SLR methodology and validation of these factors from a variety of industries and developing hierarchical model by integrative ISM-MICMAC approach.

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Article
Publication date: 27 July 2018

Kumari Amrita Tripathi and Saumya Singh

This paper aims to study the impediments and difficulties that prevent Indian women from becoming entrepreneurs.

Abstract

Purpose

This paper aims to study the impediments and difficulties that prevent Indian women from becoming entrepreneurs.

Design/methodology/approach

Data were obtained through a survey involving 15 experts. Based on the feedback provided by the experts, ten relevant barriers in the context of Indian micro small and medium enterprises (MSMEs) were chosen. A structured questionnaire was used to gather data. These ten barriers create obstruction for Indian women as entrepreneurs. These barriers were ranked, and causal relationships among them established using interpretive structural modeling and Matrice d’Impacts croises-multiplication appliqúean classment (cross-impact matrix multiplication applied to classification) (ISM–MICMAC) approach.

Findings

This study identifies, on the basis of extant literature and experts’ opinion, ten barriers to female entrepreneurship. These barriers were ranked, and causal relationships among them established using the ISM–MICMAC approach. On the basis of ranking, women can move forward in MSMEs after removing these obstacles and it will have good results.

Research limitations/implications

In this research, with literature reviews and experts opinion, ten barriers have been identified for women’s entrepreneurship and have been used to build the model.

Practical implications

To bring Indian women forward in the field of entrepreneurship, both the society and the government should work together, and efforts should be made to overcome the obstacles coming in the way of entrepreneurs.

Social implications

Female entrepreneurship in India faces many problems including negative attitude of authorities and society toward women. The society and authorities have no format or model for Indian women to move forward in the entrepreneurship sector.

Originality/value

This study seeks to identify, on the basis of a thorough review of literature and expert opinion, major barriers to female entrepreneurship in the context of Indian MSMEs.

Details

Journal of Enterprising Communities: People and Places in the Global Economy, vol. 12 no. 3
Type: Research Article
ISSN: 1750-6204

Keywords

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