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Article
Publication date: 19 February 2019

Manoj Dubey and Pooja Lakhanpal

The generic nature of business excellence models and arbitrary approaches followed by organizations to achieve excellence has triggered new approaches to attain excellence; one…

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Abstract

Purpose

The generic nature of business excellence models and arbitrary approaches followed by organizations to achieve excellence has triggered new approaches to attain excellence; one such approach is to have country- and industry-specific model. World Energy Council has developed an Energy Trilemma Index, which gives relative energy performances of almost 125 countries based on comprehensive energy matrix (affordability, availability and environment impact). Presently, India ranks at 91 as per this index thereby making this sector prudent case for specific excellence model for sector’s overall excellence. The purpose of this paper is to propose European Foundation for Quality Management (EFQM) model with Indian thermal power generating sector specific factors.

Design/methodology/approach

The study followed a research approach that combines literature review, qualitative and quantitative techniques. This includes analysis of the literature related to the subject, qualitative analysis to validate gap areas around EFQM model and identify factors critical to Indian thermal power sector. Quantitative analysis was done using SmartPLS 3.2.7 software for structural equation modeling–partial least square.

Findings

The research proposes inclusion of Indian thermal power generating sector specific factors in EFQM model, which in turn portrays balanced set of results and corresponding enablers for achieving excellence in the sector. The biggest take away will be sustained and effective contribution toward society and environment by this sector.

Originality/value

This is first of its kind study in India and globally for thermal power generating sector. It will trigger quality consciousness among power generating companies. For India, such excellence mission will definitely help nation to improve efforts toward 24×7 electricity and electricity to all.

Details

The TQM Journal, vol. 31 no. 3
Type: Research Article
ISSN: 1754-2731

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Article
Publication date: 9 October 2017

Suhas Ambekar and Manoj Hudnurkar

The purpose of this paper is to identify the latent constructs of various barriers affecting Six Sigma implementation in Indian industries.

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Abstract

Purpose

The purpose of this paper is to identify the latent constructs of various barriers affecting Six Sigma implementation in Indian industries.

Design/methodology/approach

Literature review resulted in 15 frequently reported barriers in Six Sigma implementation. An empirical survey of 168 Six Sigma practitioners including green belts, black belts (BB), and master BB from 40 Indian companies was conducted with the help of a structured questionnaire. The responses were analyzed using exploratory factor analysis which resulted into five constructs.

Findings

The study proposes five constructs, namely “role of top management,” “cultural change,” “expected attitude,” “availability of resources,” and “level of quality maturity.” The focused approach by organizations to overcome barriers in Six Sigma can be oriented using these constructs.

Practical implications

Six Sigma implementation needs elimination of barriers in projects. Top management support in planning and resource allocation supplemented by favorable employee attitude in bringing cultural change can develop quality maturity to implement Six Sigma successfully.

Originality/value

This study fills the gap in the literature by studying critical success factors, critical failure factors, and barriers together. This study is one of its kinds in the Indian context which captures the views of Six Sigma certified professionals from the organizations which are implementing Six Sigma.

Details

The TQM Journal, vol. 29 no. 5
Type: Research Article
ISSN: 1754-2731

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Article
Publication date: 2 July 2018

Anil Kumar, Amit Pal, Ashwani Vohra, Sachin Gupta, Suryakant Manchanda and Manoj Kumar Dash

Supplier selection for capital procurement is a major strategic decision for any automobile company. The decision determines the success of the company and must be taken…

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Abstract

Purpose

Supplier selection for capital procurement is a major strategic decision for any automobile company. The decision determines the success of the company and must be taken systematically with the utmost transparency. The purpose of this paper is to construct capital procurement decision-making model to optimize supplier selection in the Indian automobile industry.

Design/methodology/approach

To achieve the stated objective, a combined approach of fuzzy theory and AHP-DEMATEL is applied. Evaluation parameters are identified through an extensive literature review and criteria validation has been introduced through a Fuzzy Delphi method by using fuzzy linguistic scales to handle the vagueness of information. AHP is employed to find the priority weight of criteria, although an inter-relationship map among criteria is not possible through AHP alone since it considers all criteria as independent. To overcome this, DEMATEL is used to establish cause-effect relationships among criteria.

Findings

The results show that the total cost of ownership (TOC) is the first weighted criterion in supplier selection for capital procurement, followed by manufacturing flexibility and maintainability, then conformity with requirement. The cause-effect model shows that supplier profile, TOC, service support and conformity with requirement are in the cause group and are considered to be the most critical factors in selecting the supplier.

Originality/value

The study’s outcome can help the automobile industry to optimize their selection process in selecting their suppliers for capital procurement; the proposed model can provide guidelines and direction in this regard.

Details

Benchmarking: An International Journal, vol. 25 no. 5
Type: Research Article
ISSN: 1463-5771

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Book part
Publication date: 12 September 2024

Rubee Singh, Akash Gupta, Arushi Bajpai and Vinay Kandpal

This chapter critically discusses the literature on the subject of circular economy. It defines the circular economy at the outset and advocates its adoption in smart cities. It…

Abstract

This chapter critically discusses the literature on the subject of circular economy. It defines the circular economy at the outset and advocates its adoption in smart cities. It briefly explains the multiple phases of industrial revolution and the slow and gradual shift from a linear economy which is based on make-use-dispose model to a circular economy which relies on reusing and recycling the products produced in the production cycle. It then critically examines the legal challenges that can be associated with such a system. It draws on the lessons learnt from cities such as Amsterdam which has successfully implemented the system of circular economy. This chapter also delves into the Columbian waste management system to understand the market functioning in the waste management sector which is handled by private enterprises in the country. Moreover, the public–private partnership model in the Chinese city Suzhou is explored, and exciting methods of using this model were found.

Details

Smart Cities and Circular Economy
Type: Book
ISBN: 978-1-83797-958-5

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Article
Publication date: 19 February 2019

Manoj Hudnurkar, Suhas Ambekar and Sonali Bhattacharya

The purpose of this paper is to understand the deficiencies in Six Sigma project capability and empirically validating its impact on project success.

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Abstract

Purpose

The purpose of this paper is to understand the deficiencies in Six Sigma project capability and empirically validating its impact on project success.

Design/methodology/approach

Deficiencies are identified from literature focusing on Six Sigma challenges or barriers. The study used a survey approach by circulating questionnaires to 400 Six Sigma professionals from 40 multinational organisations. The conceptual model is composed of 16 items measuring five constructs for hypothesis testing. Furthermore, structural equation modelling was used to identify the relationship between Six Sigma project capability deficiency and project success.

Findings

The findings of the study suggest that inadequate top management support, inadequate resources and change management and inadequate quality maturity form Six Sigma project capability deficiency and affect project success.

Research limitations/implications

The study uses resource-based view to understand the deficiencies in Six Sigma project capability and their impact on project success. The study confirms that organisational capabilities in implementing Six Sigma affect the success of the projects.

Practical implications

The results of this study reveal that inadequate top management support, inadequate quality maturity of the organisation and inadequate resources and change management result into a deficiency in Six Sigma project capability. Quality managers in manufacturing and service organisations should attempt to improve these capabilities to achieve competitive advantage.

Originality/value

The study contributes to the literature by exploring the capability outlook of Six Sigma. The study attempts to fill the gap in Six Sigma literature by providing a structural model for understanding Six Sigma project capability deficiency and its impact on Six Sigma project success.

Details

The TQM Journal, vol. 31 no. 3
Type: Research Article
ISSN: 1754-2731

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Article
Publication date: 7 February 2022

Sujeet Deshpande, Manoj Hudnurkar and Urvashi Rathod

Manufacturing supply chains (SCs) across the world have become increasingly vulnerable to disruptions due to the increasing fragmentation of business functions and tasks across…

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Abstract

Purpose

Manufacturing supply chains (SCs) across the world have become increasingly vulnerable to disruptions due to the increasing fragmentation of business functions and tasks across many firms located within the country and abroad. Despite the numerous instances of SC disruptions being reported in the literature, the study of SC vulnerability lacks adequate conceptual and empirical support. This study aims to address this research gap.

Design/methodology/approach

The concept of SC vulnerability was examined considering the outcome and contextual models of vulnerability, which are well established in extant multi-disciplinary vulnerability literature. An exploratory Delphi study was then conducted to understand the extent of vulnerability of various manufacturing SCs in India, drivers of this vulnerability and the key hazards exploiting this vulnerability.

Findings

The study confirms the increasing vulnerability of manufacturing SCs in India. It also highlights the lack of top management commitment to risk mitigation as the key vulnerability driver and frequent changes in government laws and regulations as the key hazard being faced by the manufacturing SCs in India.

Originality/value

This study highlights the utility of outcome and contextual models of vulnerability as conceptual frameworks for understanding SC vulnerability. These conceptual insights along with the key manufacturing SC vulnerability drivers and hazards identified in the study should provide a basis for SC redesign for vulnerability reduction and the selection of SC risk mitigation strategies.

Details

Benchmarking: An International Journal, vol. 30 no. 1
Type: Research Article
ISSN: 1463-5771

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Article
Publication date: 24 May 2024

Anil Kumar Sharma, Manoj Kumar Srivastava and Ritu Sharma

The new technology aspects of Industry 4.0 (I4.0), such as digital technologies including artificial intelligence (AI), block chain, big data analysis and the internet of things…

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Abstract

Purpose

The new technology aspects of Industry 4.0 (I4.0), such as digital technologies including artificial intelligence (AI), block chain, big data analysis and the internet of things (IoT) as a digital cosmos, have the potential to fundamentally transform the future of business and supply chain management. By augmenting the functional components of the food supply chain (FSC), these technologies can transform it into an intelligent food supply chain (iFSC). The purpose of this study is to identify the I4.0 utilization for FSC to become an iFSC. Additionally, it suggests future research agendas to bridge the academic knowledge gaps.

Design/methodology/approach

This study utilizes the bibliometric analysis methodology to investigate the techno-functional components of iFSC in the context of I4.0. The study followed steps of bibliometric analysis to assess existing components’ knowledge in the area of intelligent food supply chain management. It further reviews the selected articles to explore the need for I4.0 technologies’ adoption as well as its barriers and challenges for iFSC.

Findings

This study examines the integration of emerging technologies in FSC and concludes that the main emphasis is on the adoption of blockchain and internet of things technology. To convert it into iFSC, it should be integrated with I4.0 and AI-driven FSC systems. In addition to traditional responsibilities, emerging technologies are acknowledged that are relatively uncommon but possess significant potential for implementation in FSC. This study further outlines the challenges and barriers to the adoption of new technologies and presents a comprehensive research plan or collection of topics for future investigations on the transition from FSC to iFSC. Utilizing artificial intelligence techniques to enhance performance, decision-making, risk evaluation, real-time safety, and quality analysis, and prioritizing the elimination of barriers for new technologies.

Originality/value

The uniqueness of this study lies in the provision of an up-to-date review of the food supply chain. In doing so, the authors have expanded the current knowledge base on the utilization of all I4.0 technologies in FSC. The review of designated publications yield a distinctive contribution by highlighting hurdles and challenges for iFSC. This information is valuable for operations managers and policymakers to consider.

Details

Journal of Business & Industrial Marketing, vol. 39 no. 9
Type: Research Article
ISSN: 0885-8624

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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: 8 August 2016

Deepa Mishra, Angappa Gunasekaran, Stephen J. Childe, Thanos Papadopoulos, Rameshwar Dubey and Samuel Wamba

The emergent field of Internet of Things (IoT) has been evolving rapidly with a geometric growth in the number of academic publications in this field. The purpose of this paper is…

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Abstract

Purpose

The emergent field of Internet of Things (IoT) has been evolving rapidly with a geometric growth in the number of academic publications in this field. The purpose of this paper is to review the literature of IoT in past 16 years using rigorous bibliometric and network analysis tools, offering at the same time future directions for the IoT research community and implications for managers and decision makers.

Design/methodology/approach

The authors adopted the techniques of bibliometric and network analysis. The paper reviewed the articles published on IoT from 2000 to 2015.

Findings

This study identifies top contributing authors; key research topics related to the field; the most influential works based on citations and PageRank; and established and emerging research clusters. Scholars are encouraged to further explore this topic.

Research limitations/implications

This study focusses only on vision and applications of IoT. Scholars may explore various other aspects of this area of research.

Originality/value

To the best of authors’ knowledge, this is the first study to review the literature on IoT by using bibliometric and network analysis techniques. The study is unique as it spans a long time period of 16 years (2000-2015). The study proposes a five-cluster classification of research themes that may inform current and future research in IoT.

Details

Industrial Management & Data Systems, vol. 116 no. 7
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 29 November 2018

Rakesh Raut, Pragati Priyadarshinee, Manoj Jha, Bhaskar B. Gardas and Sachin Kamble

The purpose of this paper is to identify and model critical barriers to cloud computing adoption (CCA) in Indian MSMEs by the interpretive structural modeling (ISM) approach.

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Abstract

Purpose

The purpose of this paper is to identify and model critical barriers to cloud computing adoption (CCA) in Indian MSMEs by the interpretive structural modeling (ISM) approach.

Design/methodology/approach

In this paper, through a literature survey and expert opinions, 14 critical barriers were identified, and the ISM tool was used to establish interrelationship among the identified barriers and to determine the key barriers having high driving power.

Findings

After analyzing the barriers, it was found that three barriers, namely, lack of confidentiality (B8), lack of top management support (B3) and lack of sharing and collaboration (B2) were most significant.

Research limitations/implications

The developed model is based on the expert opinions, which may be biased, influencing the final output of the structural model. The research implications of the developed model are to help managers of the organization in the understanding significance of the barriers and to prioritize or eliminate the same for the effective CCA.

Originality/value

This study is for the first time an attempt that has been made to apply the ISM methodology to explore the interdependencies among the critical barriers for Indian MSMEs. This paper will guide the managers at various levels of an organization for effective implementation of the cloud computing practices.

Details

Benchmarking: An International Journal, vol. 25 no. 8
Type: Research Article
ISSN: 1463-5771

Keywords

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