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Article
Publication date: 6 February 2017

Rajesh Attri and Sandeep Grover

The purpose of this paper is to ascertain and understand the relationship dynamics among the quality-enabled factors (QEFs) affecting the initiation stage of production system…

389

Abstract

Purpose

The purpose of this paper is to ascertain and understand the relationship dynamics among the quality-enabled factors (QEFs) affecting the initiation stage of production system life cycle (PSLC). This study presents an approach for refining the decision making in the initiation stage of the production system.

Design/methodology/approach

In this paper, ten QEFs have been identified for the initiation stage of PSLC. An interpretive structural modelling (ISM) approach has been utilized to cultivate an organizational association among these identified QEFs. The results of ISM approach are used as an input to fuzzy Matriced’ Impacts Croisés Multiplication Appliquée á un Classement (MICMAC) analysis, to identify the driving and dependence power of QEFs.

Findings

The key consequences of this paper are to prioritize the strategic QEFs in reducing the risks linked with initiation stage of production system. The integrated model obtained by ISM-fuzzy MICMAC illustrates that there exists two clusters of QEFs, one is having high driving power and low dependency power which requires extreme consideration and of strategic importance (such as honesty and sincerity in collecting and analyzing field data) and other is having high dependence power and low driving power and are resultant effects (such as strategic decision-making ability).

Research limitations/implications

The integrated ISM-fuzzy MICMAC model developed is not statistically corroborated; consequently structural equation modelling (SEM) approach which is also known as linear structural relationship approach could be utilized to examine the validity of developed hypothetical model.

Originality/value

This is first study to identify ten QEFs in initiation stage of production system and further, to deploy integrated ISM-fuzzy MICMAC approach to recognize and categorize the QEFs influencing the initiation stage of production system.

Details

Benchmarking: An International Journal, vol. 24 no. 1
Type: Research Article
ISSN: 1463-5771

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Article
Publication date: 2 October 2017

Rajesh Attri, Bhupender Singh and Sunil Mehra

The purpose of this paper is to ascertain and analyze the interactions among different barriers of 5S implementation in manufacturing organizations.

1106

Abstract

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.

Details

Benchmarking: An International Journal, vol. 24 no. 7
Type: Research Article
ISSN: 1463-5771

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Article
Publication date: 18 September 2019

Faisal Talib, Mohammad Asjad, Rajesh Attri, Arshad Noor Siddiquee and Zahid A. Khan

Recent years have witnessed a significant rise in Indian healthcare establishments (HCEs) which indicate that there is a constant need to improve the healthcare quality services…

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Abstract

Purpose

Recent years have witnessed a significant rise in Indian healthcare establishments (HCEs) which indicate that there is a constant need to improve the healthcare quality services through the adoption and implementation of TQM enablers. The purpose of this paper is to identify such enablers and then propose a ranking model for TQM implementation in Indian HCEs for improved performance.

Design/methodology/approach

The study identifies 20 TQM enablers through comprehensive literature survey and expert’s opinion, and classifies them into five main categories. The prominence of these enablers is established using a recently developed novel multi-criteria decision making (MCDM) method, i.e. best-worst method (BWM). The importance of the various main category and sub-category enablers is decided on the basis of their weights which are determined by the BWM. In comparison to other MCDM methods, such as analytical hierarchy process, BWM requires relatively lesser comparison data and also provides consistent comparisons which results in both optimal and reliable weights of the enablers considered in this paper. Further, a sensitivity analysis is also carried out to ensure that the ranking (based on the optimal weights) of the various enablers is reliable and robust.

Findings

The results of this study reveal that out of five main category enablers, the “leadership-based enablers (E1)” and the “continuous improvement based enablers (E5)” are the most and the least important enablers, respectively. Similarly, among the 20 sub-category enablers, “quality leadership and role of physicians (E14)” and “performing regular survey of customer satisfaction and quality audit (E52)” are the most and the least dominating sub-category enablers, respectively.

Research limitations/implications

This study does not explore the interrelationship between the various TQM enablers and also does not evaluate performance of the various HCEs based on the weights of the enablers.

Practical implications

The priority of the TQM enablers determined in this paper enables decision makers to understand their influence on successful implementation of the TQM principles and policies in HCEs leading to an overall improvement in the system’s performance.

Originality/value

This study identifies the various TQM enablers in HCEs and categorizes them into five main categories and ranks them using the BWM. The findings of this research are quite useful for management of the HCEs to properly understand the relative importance of these enablers so that managers can formulate an effective and efficient strategy for their easy and smooth implementation which is necessary for continuous improvement.

Details

The TQM Journal, vol. 31 no. 5
Type: Research Article
ISSN: 1754-2731

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Article
Publication date: 17 May 2022

Samir Ramdas Kale, Srinivas Kota, Naga Vamsi Krishna Jasti, Gunjan Soni and Surya Prakash

The manufacturing sector has been observing various benefits by the implementation of lean manufacturing practices. However, the manufacturing sector has neglected the…

547

Abstract

Purpose

The manufacturing sector has been observing various benefits by the implementation of lean manufacturing practices. However, the manufacturing sector has neglected the significance of health and safety management system implementation. The purpose of this research is to propose and validate an occupational health and safety management systems (OHSMS) framework based on critical success factors and their relationships in the lean manufacturing organizations.

Design/methodology/approach

A critical literature review was conducted to identify the success factors of OHSMS. Subsequently, a questionnaire survey and semi-structured interviews were conducted with experts from process industries to consolidate the critical success factors. After consolidating the critical success factors, relationships among critical success factors were established with the help of interpretive structural modelling using a team of 12 experts from industry and academia. These established relationships helped in proposing the hierarchical implementation framework. Finally, the validation of the proposed implementation framework was carried out using structural equation modelling (SEM).

Findings

This study has identified nine broader critical success factors for implementation of OHSMS in lean manufacturing organizations, especially the process industry. Subsequently, this study has proposed an OHSMS framework with nine broader critical success factors to implement in lean manufacturing organizations. Finally, the proposed framework has been validated using SEM with an appropriate sample size.

Practical implications

This study is helpful to the organizations to implement OHSMS without losing the essence of lean manufacturing strategy. This study has proposed a framework for implementation of OHSMS in the lean manufacturing organizations, especially process industry sector. This study also provided confidence to the organization through the validation of proposed framework in the process industry.

Originality/value

To the best of the authors’ knowledge, this study is first of its kind in this field of OHSMS in lean manufacturing organizations, especially the process industry. This study has involved both academicians and industry experts to bring more robust outcomes. This study proposed a unique framework to implement OHSMS in lean manufacturing organizations. This study has considered a comprehensive literature to develop a framework for OHSMS in lean manufacturing organizations. An implementation framework was proposed by considering both the academicians’ and industry professionals’ opinions. The proposed framework was statistically validated. This will be helpful in effective implementation of OHSMS strategy in lean manufacturing organizations, especially process industry sector.

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Case study
Publication date: 28 September 2015

Soma Arora

Marketing strategy, strategic innovation.

Abstract

Subject area

Marketing strategy, strategic innovation.

Study level/applicability

Strategic brand management or marketing strategy courses at MBA level.

Case overview

It seemed likely that a company with the highest number of product variants would consider product innovation to be its key source of sustenance in a crowded marketplace. Especially so, when the local and global competition was hotting up to a new launch every week. In the case of Micromax, a mobile handset maker from India tried to drive home the point that sustainability in emerging markets did not lie in inventing a new technology like Apple or Nokia or Sony did, albeit accompanied with a premium price tag. For the emerging markets, it was important to optimize the offering for the consumers. Strategic optimization could result from bridging the gaps in performance, infrastructure and organization design, which came naturally to this marketing-savvy mobile maker. Any company could make a cost-effective phone, but few could position, brand and sell it the way Micromax did. Shubhodip Pal, Head of Marketing at Micromax Informatics Pvt Ltd, India, pondered the marketing strategy which could pave the way into maintaining the company's national leadership position while creating a roadmap for its global foray. For Micromax, marketing strategy innovation, and not product innovation, would fulfil the goal of long-term growth in India and overseas markets.

Expected learning outcomes

The students studying this case are expected to learn: marketing strategy in emerging markets such as India, marketing strategy as the critical success factor for upcoming Indian companies rather than product innovation and doing business in emerging markets.

Supplementary materials

Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

Details

Emerald Emerging Markets Case Studies, vol. 5 no. 5
Type: Case Study
ISSN: 2045-0621

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Article
Publication date: 12 July 2024

Manoj A. Palsodkar, Madhukar R. Nagare, Rajesh B. Pansare and Vaibhav S. Narwane

Agile new product development (ANPD) attracts researchers and practitioners by its ability to rapidly reconfigure products and related processes to meet the needs of emerging…

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Abstract

Purpose

Agile new product development (ANPD) attracts researchers and practitioners by its ability to rapidly reconfigure products and related processes to meet the needs of emerging markets. To increase ANPD adoption, this study aims to identify ANPD enablers (ANPDEs) and create a structural framework that practitioners can use as a quick reference.

Design/methodology/approach

Initially, a comprehensive literature review is conducted to identify ANPDEs, and a structural framework is developed in consultation with an expert panel using a hybrid robust best–worst method interpretive structural modeling (ISM). During the ISM process, the interactions between the ANPDEs are investigated. The ISM result is used as input for fuzzy Matrice d’Impacts croises-multiplication appliqúean classment means cross-impact matrix multiplication applied to classification (MICMAC) analysis to investigate enablers that are both strong drivers and highly dependent.

Findings

The study’s findings show that four ANPDEs are in the low-intensity cluster and thus are excluded during the structural frame development. ISM output shows that “Strong commitment to NPD/top management support,” “Availability of resources,” “Supplier commitment/capability” and “Systematic project planning” are the important ANPDEs. Based on their driving and dependence power, the clusters formed during the fuzzy MICMAC approach show that 16 ANPDEs appear in the dependent zone, one ANPDE in the linkage zone and 14 ANPDEs in the driving zone.

Practical implications

This research has intense functional consequences for researchers and practitioners within the industry. Industry professionals require a conservative focus on the established ANPDEs during ANPD adoption. Management has to carefully prepare a course of action to avoid any flop during ANPD adoption.

Originality/value

The framework established is a one-of-a-kind study that provides an integrated impression of important ANPDEs. The authors hope that the suggested structural framework will serve as a blueprint for scholars working in the ANPD domain and will aid in its adoption.

Details

Journal of Modelling in Management, vol. 20 no. 1
Type: Research Article
ISSN: 1746-5664

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Article
Publication date: 22 March 2019

Rahul Vishwanath Dandage, Shankar S. Mantha and Santosh B. Rane

International projects very commonly experience failure due to various factors at the global level. Especially, large projects at the international level virtually have no chance…

5787

Abstract

Purpose

International projects very commonly experience failure due to various factors at the global level. Especially, large projects at the international level virtually have no chance of meeting scope, time, cost and quality. This fact has been underlined by most of the international surveys and published literature. Effective risk management plays a vital role in preventing projects from failure by implementing appropriate risk response strategies. The success of risk management will be based on the understanding of various risk categories which specifically affect international projects, analysis of their interdependence, prioritize them according to their importance and develop strategies for risk management based on the prioritization. The paper aims to discuss these issues.

Design/methodology/approach

This paper represents typical eight risk categories frequently observed in the international projects through literature survey and feedback from project professionals. Interpretive structural modeling (ISM) and Matrice d’Impacts croises-multiplication applique´ an classment (MICMAC) analysis have been used to analyze the interactions among the risk categories and prioritize them. The strategy management tool threats, opportunities, weaknesses and strengths (TOWS) matrix has been used to develop the strategies for effective project risk management.

Findings

The analysis represents political risks, contractual and legal risks, cultural risks, and financial and economic risks as the highest priority risk categories, the mitigation of which should be paid the highest attention. The strengths-threats strategy has been applied to develop the strategies by identifying the various internal strengths of project organization to overcome the various threats caused by the eight risk categories observed in international projects.

Research limitations/implications

This paper tries to represent the prioritization of international project risk categories which are generic in nature. For any specific international project, the risk categories as well as their prioritization may be slightly varying. The tool used for prioritization; Interpretive structural modeling (ISM) is more suitable for few numbers of variables as it becomes complex as the number of variables increases. The strengths and threats considered for developing strategies using TOWS matrix are based on the feedback from project professionals and may vary according to the nature of project.

Originality/value

This paper uses ISM and MICMAC for risk prioritization in international projects and TOWS matrix for developing risk management strategies. This may trigger new opportunities for in-depth research in the risk management strategy development for international projects.

Details

International Journal of Managing Projects in Business, vol. 12 no. 4
Type: Research Article
ISSN: 1753-8378

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Article
Publication date: 17 September 2018

Rajesh Katiyar and Sneha Badola

Online banking, a phenomenon widely adopted and appreciated in developing and developed countries, is becoming an essential part of the lives of people from all walks of life, but…

690

Abstract

Purpose

Online banking, a phenomenon widely adopted and appreciated in developing and developed countries, is becoming an essential part of the lives of people from all walks of life, but there exist a good fraction of customers resisting these services. Therefore, the purpose of this paper is to identify the barriers generating resistance to online banking. The special focus of the paper is to explore resistance among bank customers who already have valid contracts for online banking but still prefer to approach the traditional branches for transactions.

Design/methodology/approach

To achieve the objective, interpretive structural modelling (ISM) with cross-impact matrix multiplication applied to classification (MICMAC) approach is used to investigate the interrelationships among the barriers to online banking.

Findings

Online banking, although proven to be a glorious innovation, has still not been adopted by all, and hence, has not met all the expectations of banks and banking sector. The outcome shows that the online illiteracy and online unawareness are the most important barriers and these two are working as the root cause and demand strong attention on part of the banking sector which is working towards the inclusion of customers to online banking. These findings may help the Indian banking sector in identifying the crucial points that affect online banking system in India the most.

Originality/value

This research explored the interactions among the barriers to online banking in the Indian scenario and revealed significant results through the ISM-based technique.

Details

Journal of Modelling in Management, vol. 13 no. 3
Type: Research Article
ISSN: 1746-5664

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Article
Publication date: 30 September 2021

Narender Kumar, Girish Kumar and Rajesh Kr Singh

The study presents various barriers to adopt big data analytics (BDA) for sustainable manufacturing operations (SMOs) post-coronavirus disease (COVID-19) pandemics. In this study…

958

Abstract

Purpose

The study presents various barriers to adopt big data analytics (BDA) for sustainable manufacturing operations (SMOs) post-coronavirus disease (COVID-19) pandemics. In this study, 17 barriers are identified through extensive literature review and experts’ opinions for investing in BDA implementation. A questionnaire-based survey is conducted to collect responses from experts. The identified barriers are grouped into three categories with the help of factor analysis. These are organizational barriers, data management barriers and human barriers. For the quantification of barriers, the graph theory matrix approach (GTMA) is applied.

Design/methodology/approach

The study presents various barriers to adopt BDA for the SMOs post-COVID-19 pandemic. In this study, 17 barriers are identified through extensive literature review and experts’ opinions for investing in BDA implementation. A questionnaire-based survey is conducted to collect responses from experts. The identified barriers are grouped into three categories with the help of factor analysis. These are organizational barriers, data management barriers and human barriers. For the quantification of barriers, the GTMA is applied.

Findings

The study identifies barriers to investment in BDA implementation. It categorizes the barriers based on factor analysis and computes the intensity for each category of a barrier for BDA investment for SMOs. It is observed that the organizational barriers have the highest intensity whereas the human barriers have the smallest intensity.

Practical implications

This study may help organizations to take strategic decisions for investing in BDA applications for achieving one of the sustainable development goals. Organizations should prioritize their efforts first to counter the barriers under the category of organizational barriers followed by barriers in data management and human barriers.

Originality/value

The novelty of this paper is that barriers to BDA investment for SMOs in the context of Indian manufacturing organizations have been analyzed. The findings of the study will assist the professionals and practitioners in formulating policies based on the actual nature and intensity of the barriers.

Details

Journal of Enterprise Information Management, vol. 35 no. 1
Type: Research Article
ISSN: 1741-0398

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Article
Publication date: 5 March 2018

Mahesh Chand, Neha Bhatia and Rajesh Kumar Singh

Industries start focusing on the green concept in supply chain management (SCM) to reduce waste and emission, preserve the quality of natural resources and decrease the…

681

Abstract

Purpose

Industries start focusing on the green concept in supply chain management (SCM) to reduce waste and emission, preserve the quality of natural resources and decrease the consumption of hazardous/harmful materials for better product life cycle, which not only improve environmental performance but also economic performance. But, for industries, it is still very difficult to understand and analyze the effect of individual activities and their corresponding contribution. The purpose of this paper is to identify and analyze selected issues in green supply chain management for the implementation of the green concept in industries.

Design/methodology/approach

To fulfill the objectives of this paper, analytical network process-multi-objective optimization using rational analysis (ANP-MOORA) techniques are used. In the proposed methodologies, different issues, sub-issues, and alternatives are identified for the selection of the best supply chain using ANP which is being followed by the MOORA method.

Findings

Findings of this paper are highly valuable for the Indian manufacturing industries for the management of green supply chain (GSC) issues.

Research limitations/implications

In this research, only selected issues are identified and analyzed for the management of GSCs. Further, it is believed that an ANP-based framework helps to take up the explicit account of multi-criteria decision making (MCDM) approaches in decision making and for improving and selecting the best supply chain. Other issues in GSC can be analyzed and further extended by other MCDM approaches.

Originality/value

This paper identified different type of supply chains and their issues. The systematic way of analyzing the green concept in supply chain helps the researchers and managers to implement green management practices for improving economic and environmental performance.

Details

Benchmarking: An International Journal, vol. 25 no. 2
Type: Research Article
ISSN: 1463-5771

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