Modeling the CSR barriers in manufacturing industries

2017 ◽  
Vol 24 (7) ◽  
pp. 1871-1890 ◽  
Author(s):  
Praveen Goyal ◽  
Divesh Kumar
Keyword(s):  
Manufacturing Sector ◽  
Extensive Literature ◽  
Manufacturing Companies ◽  
Implementation Barriers ◽  
Interpretive Structural Modeling ◽  
Efficient Manner ◽  
Content Type ◽  
Top Management Commitment ◽  
Expert’S Opinion ◽  
Passive Attitude

Purpose The purpose of this paper is to identify and rank the various barriers of the CSR implementation in Indian manufacturing companies. Further, this paper also studies interaction of different barriers. Design/methodology/approach The study was carried out using an interpretive structural modeling (ISM) approach to analyze the interaction among different barriers for corporate social responsibility (CSR) implementation in manufacturing companies in the Indian context. Findings In the present study, ten CSR implementation barriers were identified through an extensive literature review followed by the expert’s opinion. The present study outlines that lack of money and consumer’s passive attitude towards CSR are the major barriers in CSR implementation in Indian manufacturing companies. On the other hand, top management commitment, lack of knowledge about CSR and lack of skills for CSR implementation are barriers which occur due to the investment required in term of time and consumer’s passive attitude. Originality/value The present study is helpful to both academicians and practitioners by providing a model of CSR barriers. This study is important in the context of India which is a developing economy and this development is exerting pressure on the corporations to adopt CSR in their practices. This ISM-based model of barriers of CSR implementation in the manufacturing sector will help practitioners and managers to have enhanced knowledge about these barriers and to concentrate on important barriers to implement CSR activities in their organizations in an efficient manner.

Enablers of workforce agility in engineering educational institutions

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shalini Menon ◽  
M Suresh
Keyword(s):  
Manufacturing Sector ◽  
Future Generation ◽  
Faculty Members ◽  
Extensive Literature ◽  
Management Support ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Workforce Agility ◽  
Entrepreneurial Activities ◽  
Policies And Practices

PurposeThe purpose of this paper is to explore and encapsulate the enablers that can facilitate agility in faculty members of engineering institutions. The paper also aims to conduct a prelim qualitative validation of the enablers and analyze the interplay between them using the total interpretive structural modeling (TISM) approach.Design/methodology/approachThe study adopted the TISM approach to comprehend the interactions and transitivity between the enablers. Cross-impact multiplication matrix (MICMAC) analysis was applied to rank the enablers and classify them on the basis of the driving and dependence power into dependent, autonomous, independent and linkage enablers.FindingsExtensive literature review and expert opinion helped identify 16 enablers that can promote workforce agility. The results indicate “management support” as the most crucial enabler. Rewards and recognition and employee empowerment were among the other enablers that have a high driving force. New capabilities, learning and innovation and the expanding role of faculty members were found to have high dependence power, which makes the enablers dependent on other enablers for activation.Practical implicationsThe results of this study would assist the management of engineering colleges and universities to design, adopt and implement policies and practices that would facilitate agility in faculty members. Faculty members shoulder the responsibility of molding the future generation, and hence, it is important that they are competent enough to impart quality education. The policymakers should focus on policies and practices that leverage human resource potential and support an innovative climate that nurtures entrepreneurial activities in engineering institutions.Originality/valueSo far research on workforce agility has predominantly focused on the manufacturing sector. Despite the workforce (refers to faculty members here) being crucial in contributing to the progress of universities and colleges, very little work is done on how faculty members can be made agile. Application of the TISM method in identifying the variables that can facilitate faculty members' agility in engineering institutions in India is a new and original contribution to the literature on workforce agility.

Investigation and modeling of lean six sigma barriers in small and medium-sized industries using hybrid ISM-SEM approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahipal Singh ◽  
Rajeev Rathi
Keyword(s):  
Six Sigma ◽  
Structural Equation ◽  
Research Work ◽  
Lean Six Sigma ◽  
Equation Modeling ◽  
Original Research ◽  
Extensive Literature ◽  
Implementation Barriers ◽  
Interpretive Structural Modeling ◽  
Content Type

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.

Sustainable circular supplier selection and evaluation in the manufacturing sector using Pythagorean fuzzy EDAS approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chang Liu ◽  
Pratibha Rani ◽  
Khushboo Pachori
Keyword(s):  
Decision Making ◽  
Human Behavior ◽  
Circular Economy ◽  
Supplier Selection ◽  
Manufacturing Sector ◽  
Uncertain Information ◽  
Manufacturing Companies ◽  
Content Type ◽  
Sustainable Supplier Selection ◽  
Selection Of

PurposeDue to stern management policies and increased community attentiveness, sustainable supply chain management (SSCM) performs a vast component in endeavor operation and production management. Sustainable circular supplier selection (SCSS) and evaluation presented the environmental and social concerns in the fields of circular economy and sustainable supplier selection. Choosing the optimal SCSS is vital for organizations to persuade SSCM, as specified in various researches. Based on the subjectivity of human behavior, the selection of ideal SCSS often involves uncertain information, and the Pythagorean fuzzy sets (PFSs) have a huge capability to tackle strong vagueness, uncertainty and inaccuracy in the multi-criteria decision-making (MCDM) procedure. Here, a framework is developed to assess and establish suitable suppliers in the SSCM and the circular economy.Design/methodology/approachThis paper introduced an extended framework using the evaluation based on distance from average solution (EDAS) with PFSs and implemented it to solve the SCSS in the manufacturing sector. Firstly, the PFSs to handle the uncertain information of decision experts (DEs) is employed. Secondly, a novel divergence measure and parametric score function for calculating the criteria weights are proposed. Thirdly, an extended decision-making approach, known as PF-EDAS, is introduced.FindingsThe outcomes and comparative discussion show that the developed method is efficient and capable of facilitating the DEs to choose desirable SCSS. Therefore, the proposed framework can be used by organizations to assess and establish suitable suppliers in the SCSS process in the circular economy.Originality/valueSelecting the optimal sustainable circular supplier (SCS) in the manufacturing sector is important for organizations to persuade SSCM, as specified in various research. However, corresponding to the subjectivity of human behavior, the selection of the best SCS often involves uncertain information, and the PFSs have a huge capability to tackle strong vagueness, uncertainty and inaccuracy in the MCDM procedure. Hence, manufacturing companies' administrators can implement the developed method to assess and establish suitable suppliers in the SCSS process in the circular economy.

Analysis of interaction among the barriers to 5S implementation using interpretive structural modeling approach

2017 ◽  
Vol 24 (7) ◽  
pp. 1834-1853 ◽  
Author(s):  
Rajesh Attri ◽  
Bhupender Singh ◽  
Sunil Mehra
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Structural Modeling ◽  
Equation Modeling ◽  
Successful Implementation ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Modeling Approach ◽  
Manufacturing Organizations ◽  
Top Management Commitment

Purpose The purpose of this paper is to ascertain and analyze the interactions among different barriers of 5S implementation in manufacturing organizations. Design/methodology/approach In this paper, 15 barriers affecting the implementation of 5S in manufacturing organizations have been identified from literature analysis and discussion with academic and industrial experts. Afterwards, identified barriers were validated by using nation-wide questionnaire-based survey. Then, interpretive structural modeling (ISM) approach has been utilized to find out the interaction among the identified barriers in order to develop hierarchy-based model. Findings The research identifies several key barriers which have high driving power and weak dependence power. In this concern, these barriers entail extreme care and handling for successful implementation of 5S. Financial constraints, lack of top management commitment, and no proper vision and mission are found to be the key barriers. Research limitations/implications The developed ISM model is based on experts’ opinion. This developed hierarchy-based model requires further validation by using structural equation modeling approach or by performing detailed case studies. Originality/value In this paper, ISM-based structural model has been recommended for Indian manufacturing organizations, which is a novel exertion in the area of 5S implementation.

scholarly journals Sustainable procurement practices in the supplier selection process: an exploratory study in the context of Brazilian manufacturing companies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alex Moysés Barbanti ◽  
Rosley Anholon ◽  
Izabela Simon Rampasso ◽  
Vitor William Batista Martins ◽  
Osvaldo Luiz Gonçalves Quelhas ◽  
...  
Keyword(s):  
Supplier Selection ◽  
Local Community ◽  
Manufacturing Sector ◽  
Selection Process ◽  
Correlation Method ◽  
Manufacturing Companies ◽  
Content Type ◽  
Sustainable Procurement ◽  
Starting Point ◽  
Criteria Importance

Purpose This paper aims to evaluate the adoption of sustainable procurement practices adopted by Brazilian manufacturing companies in supplier selection; additionally, it is aimed to understand which of these practices enable a better differentiation of the analysed companies. Design/methodology/approach A systematic literature review was performed to compose the theoretical base of this research. In addition, a detailed study of ISO 20400 standard was conducted. The guidelines of ISO 20400 were used as a base to structure a questionnaire used in a survey with professionals working in procurement sphere of manufacturing companies in Brazil. The data were analysed via frequency and CRITIC (Criteria Importance Through Intercriteria Correlation) method. Findings A moderate dispersion in the adoption level of sustainable procurement practices in supplier selection process of the manufacturing companies was observed; in practices associated with social aspects, the dispersion is greater. A negative issue to be highlighted is that almost 20% of analysed companies did not even considered in their supplier selection process if their candidates accomplish philanthropic activities, generate jobs in local community and fulfill the Universal Declaration of Human Rights of United Nations (UN). Those two last practices are the ones with the best capacity to differ the companies in the sample. Originality/value There are few studies that focuses on understanding the adoption of sustainable procurement practices in manufacturing companies' supplier selection process. The main contribution of this study to the literature is to evidence that social requirements in supplier selection process are considered in a clear and well-structured form only by few Brazilian manufacturing companies. Despite the sample size, companies analysed in this research are prominent organisations in manufacturing sector. Thus, if this situation occurs in these companies, a more critical scenario will be evidenced in other organisations. This study has implication for practice and academy. For companies' managers, information present here can be used to debate the theme in the organisational context and the nine practices and scale can be used to perform a critical analysis of company's practices. For researchers, the information present here can be used as starting point for futures studies.

The skill needs of the manufacturing industry: can higher education keep up?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Oran Doherty ◽  
Simon Stephens
Keyword(s):  
Higher Education ◽  
Best Practice ◽  
Manufacturing Industry ◽  
Manufacturing Sector ◽  
Rapid Development ◽  
Time Frame ◽  
Manufacturing Companies ◽  
Senior Managers ◽  
Experiential Training ◽  
Content Type

PurposeThis paper explores the implications for higher education of the rapid development in technology used by the manufacturing sector. Higher education programmes change or new courses are introduced in attempts to match labour market demands. However, the pace of change in the manufacturing industry challenges the authors to reconceive how programmes and modules can and should be designed and delivered.Design/methodology/approachThis study is based on interviews with 26 senior management representatives from manufacturing companies in Ireland. The 26 senior managers and their companies represent the wide diversity of Ireland's manufacturing sector. All the interviews were face to face, complimented by a short questionnaire. Follow-up interviews focussed on the emergent findings were carried out to aid the writing of recommendations for the best practice in programme design and delivery.FindingsWhat emerges from this study is that the manufacturing industry needs skills at three distinct levels. The authors define and classify the skill requirements at entry, competent and expert level. The authors place an emphasis on upskilling as an aid to movement between the three levels. In addition, and significantly, the desired time frame for delivery of these skills and/or upskilling is very short.Originality/valueAccelerated reskilling programmes with faster, shorter bursts of work-based learning (WBL) and experiential training are required. With a growing demand for those at competent and expert level, it is necessary to promote WBL to facilitate the upskilling of those employed in manufacturing roles, particularly in small and medium-sized enterprises (SMEs).

Barriers in adoption of additive manufacturing in medical sector supply chain

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Neha Choudhary ◽  
Anish Kumar ◽  
Varun Sharma ◽  
Pradeep Kumar
Keyword(s):  
Additive Manufacturing ◽  
Design Methodology ◽  
Manufacturing Sector ◽  
Extensive Literature ◽  
Content Type ◽  
Potential Barriers ◽  
Organizational Barriers ◽  
Medical Sector ◽  
Network Process ◽  
And Training

PurposeAdditive manufacturing (AM) is expected to significantly transform the operations in manufacturing sector. It is also proposed to have optimistic applications in the medical supply chains (SC). However, its adoption in medical sector is faced with a range of barriers. Motivated by the need to establish an AM-based medical SC in a developing economy, the present paper analyses the potential barriers that would hinder the adoption of AM in medical SC.Design/methodology/approachBased on an extensive literature review and expert discussions, 12 significant barriers have been identified, which are analysed using an integrated interpretive structural modelling–analytical network process (ISM–ANP) methodology. An interrelationship between these barriers using ISM has been analysed to determine the driving-dependence power of these barriers using MICMAC (Matrice d' Impacts Croises-Multiplication Applique' e a' Classement) analysis. The barriers are then ranked using the ANP approach.FindingsIt has been focussed that the non-availability of a variety of materials, lack of education and training to designers and workers and production technology limitation are the most critical barriers. The results suggest that the managers should give greater significance to the technological and organizational barriers.Originality/valueAn approach to overcome these barriers can help the managers and organizations to develop successful AM-based SCs. The study is the first to identify and analyse the barriers for successful adoption of AM in medical SC context.

Barriers for Lean implementation in the textile industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Galina Robertsone ◽  
Iveta Mezinska ◽  
Inga Lapina
Keyword(s):  
Textile Industry ◽  
Success Factors ◽  
Manufacturing Sector ◽  
Qualitative Content Analysis ◽  
Original Research ◽  
Implementation Barriers ◽  
Lean Implementation ◽  
Content Type ◽  
Non Profit ◽  
Specific Implementation

Purpose The fundamentals of Lean are applicable and can be used in any industry, even non-profit and government organizations, however, there might be certain limitations due to the nature and the specifics of the industry. This study aims to explore what barriers of Lean implementation textile manufacturers might encounter. The authors consider the problem is worth to be explored for the potential to improve the effectiveness of Lean implementation in textile sector companies. Design/methodology/approach This research was conducted by using qualitative content analysis with open coding of the selected literature followed by empirical research in a Latvian textile manufacturing company. Findings The presented literature review shows Lean implementation barriers and critical success factors in various industries. The findings from the case study can be divided into two groups. The first confirmed the barriers already identified in the previous research. The second identified industry specific implementation barriers that were not recognized in the related literature. Research limitations/implications The original research was limited in scope to one Latvian textile manufacturer, therefore future studies on the subject to confirm the outcome of the research are required. Originality/value There is a limited number of studies on the application of Lean in the textile and apparel industry. The literature on Lean implementation in the Latvian manufacturing sector is also limited. The results of this research may have a practical application for textile manufactures considering implementing Lean in their processes.

Modelling and analysis of barriers affecting the implementation of lean green agile manufacturing system (LGAMS)

2019 ◽  
Vol 26 (2) ◽  
pp. 498-529 ◽  
Author(s):  
Rahul Sindhwani ◽  
Varinder Kumar Mittal ◽  
Punj Lata Singh ◽  
Ankur Aggarwal ◽  
Nishant Gautam
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Agile Manufacturing ◽  
Extensive Literature ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Micmac Analysis ◽  
Top Managers ◽  
Discrete Manner ◽  
Practical Implications

Purpose Many types of research have already investigated the lean, green or agile manufacturing systems in a discrete manner or as combinations of two of them. In today’s competitive scenario, if industry wants to perpetuate its name in the market, then it has to supervene proper thinking and smart approach. Therefore, the combination of lean, green and agile manufacturing systems can provide better and beneficial results. The purpose of this paper is to discern the barriers to the combined lean green agile manufacturing system (LGAMS), understand their interdependence and develop a framework to enhance LGAMS by using total interpretive structural modeling (TISM) and MICMAC (Matriced’ Impacts Croise’s Multiplication Appliquée a UN Classement) Analysis. Design/methodology/approach This paper uses TISM methodology and MICMAC analysis to deduce the interrelationships between the barriers and rank them accordingly. A total of 13 barriers have been identified through extensive literature review and discussion with experts. Findings An integrated LGAMS has been presented that balances the lean, green and agile paradigms and can help supply chains become more efficient, streamlined and sustainable. Barriers are identified while referring to all three strategies to showcase the clear relevance. TISM models the barriers in different levels showcasing direct and important transitive relations. Further, MICMAC analysis distributes the barriers in four clusters in accordance with their driving and dependence power. Research limitations/implications The inferences have been drawn from a model developed on the basis of inputs from a small fraction of the industry and academia and may show variations when considering the whole industry. Practical implications The outcome of this research can contribute to bringing the change to the manufacturing systems used in most developing nations. Also, top managers considering adoption of LGAMS can be cautious of the most influential barriers. Originality/value A TISM-based model of the barriers to an integrated LGAMS has been proposed with evaluation of the influence of the barriers.

Barriers in implementing lean manufacturing in Indian SMEs: a multi-criteria decision-making approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Piyush Jaiswal ◽  
Amit Singh ◽  
Subhas C. Misra ◽  
Amaresh Kumar
Keyword(s):  
Decision Making ◽  
Lean Manufacturing ◽  
Manufacturing Sector ◽  
New Technology ◽  
Evaluation Framework ◽  
Quality Cost ◽  
Content Type ◽  
Leadership Quality ◽  
Management Commitment ◽  
Top Management Commitment

Purpose This study aims to investigate the interrelationships among the Lean manufacturing (LM) adoption barriers in Indian SMEs. This issue has its own importance as LM has become the inescapable requirement for small- and medium-scale enterprises (SMEs) because of the increased concerns about quality, cost, delivery time and rapidly growing competition in the manufacturing sector and in India it is opposed by many factors/barriers. To act for the eradication of these barriers, we need to systematically analyze them. Design/methodology/approach Based on the available literature and consultation with the experts, the authors identified 16 LM barriers for Indian SMEs. The authors analyzed the interdependencies among the barriers and prioritized them using integrated Grey-decision-making trial and evaluation laboratory (grey-DEMATEL) approach. Findings The findings show that limited financial resources, fear in adopting new technology, lack of top management commitment and poor leadership quality are the most critical barriers for LM diffusion in Indian SMEs. Research limitations/implications The present research is based on the experts’ inputs, which may be subject to individual biases. In developing countries, such as India, geographical influences are also possible, which are neglected in this study. Practical implications This study provides significant insights that can help SMEs to focus on critical cause group barriers to accelerate the LM penetration. Originality/value The authors have proposed a Grey-DEMATEL-based LM barrier evaluation framework. Here, the authors analyze the interrelationships among the barriers for LM and segregate them in cause and effect groups.

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