Modeling drivers for successful adoption of environmentally conscious manufacturing

2014 ◽  
Vol 9 (2) ◽  
pp. 127-140 ◽  
Author(s):  
Varinder Kumar Mittal ◽  
Kuldip Singh Sangwan
Keyword(s):  
Structural Model ◽  
Review Of Literature ◽  
Interpretive Structural Modeling ◽  
Environmentally Conscious ◽  
Policy Makers ◽  
Content Type ◽  
Environmentally Conscious Manufacturing ◽  
The Government ◽  
Dependence Relationship ◽  
Interpretive Structural Model

Purpose – This paper aims at developing an interpretive structural model of drivers for environmentally conscious manufacturing (ECM). It will demonstrate how interpretive structural modeling (ISM) supports policy makers in the government and industry in identifying and understanding interdependencies among drivers for ECM. Interdependencies among drivers will be derived and structured into a hierarchy to derive subsystems of interdependent elements with corresponding driving power and dependency. Design/methodology/approach – ISM has been used to identify hierarchy and inter-relationships among drivers for ECM adoption and to classify the drivers according to their driving and dependence power using MICMAC analysis. The drivers for ECM adoption are identified through the review of literature followed by developing a model of drivers using ISM. Findings – The main findings of the paper include the development of an ISM model of drivers for ECM adoption. The developed model divided the identified drivers into five levels of hierarchies showing their inter-relationship and depicting the driving-dependence relationship. These five levels have been classified into four categories – awareness, external, organizational and benefits. Originality/value – The developed ISM model is expected to provide a direction to the policy makers in the government and industry and the top management of the organizations to leverage their resources in a timely manner to adopt ECM successfully.

Development of a structural model of environmentally conscious manufacturing drivers

2014 ◽  
Vol 25 (8) ◽  
pp. 1195-1208 ◽  
Author(s):  
Varinder Kumar Mittal ◽  
Kuldip Singh Sangwan
Keyword(s):  
Factor Analysis ◽  
Structural Equation ◽  
Manufacturing Industry ◽  
Structural Model ◽  
Equation Modeling ◽  
Special Focus ◽  
Successful Implementation ◽  
Environmentally Conscious ◽  
Content Type ◽  
Environmentally Conscious Manufacturing

Purpose – Manufacturing firms consume energy and natural resources in highly unsustainable manner and release huge amounts of green house gases leading to many economic, environmental and social problems; from local waste disposal to climate change. Consciousness about these issues has lead to a new manufacturing paradigm of environmentally conscious manufacturing (ECM). There exist many social, legislative, policy, economic, internal, and environmental factors which can motivate and/or force industry to adopt ECM. The purpose of this paper is to identify the drivers for ECM, developing a model of these drivers using statistical analysis and testing the model using structural equation modeling (SEM) technique. Design/methodology/approach – The basic steps of methodology are ECM driver development, survey instrument development, data collection, model proposition, and model validation. The main data analysis approaches are exploratory factor analysis, confirmatory factor analysis, and SEM to develop a model of drivers and validating the same based on the data collected from the manufacturing industry. Findings – The reliable, valid, and tested model has three types of drivers – internal, policy, and economic. It has been found through hypothesis testing that internal drivers for the implementation of ECM are positively related to policy and economic drivers; and policy drivers are positively related to economy drivers. This research is expected to help government and industry in developing policies and strategies for the successful implementation of ECM. Practical implications – The novelty of this study is that it provides the relationship among the drivers which can be leveraged by the managers to focus on the root drivers for smooth and effective implementation of ECM. Originality/value – This paper provides new theoretical insight into the factors motivating the industry to implement ECM systems in the industry with special focus on manufacturing sector of emerging economies.

Big data analytics based enablers of supply chain capabilities and firm competitiveness: a fuzzy-TISM approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nisha Bamel ◽  
Umesh Bamel
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Data Analytics ◽  
Structural Model ◽  
Big Data Analytics ◽  
Integrated Approach ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
People Skills ◽  
Interpretive Structural Model

PurposeThis paper aims to identify the big data analytics (BDAs) based enablers of supply chain capabilities (SCCs) and competitiveness of firms. This paper also models the interaction among identified enablers and thus projects the relationship strength of these enablers with SCC and a firm's competitiveness.Design/methodology/approachIn order to achieve the research objectives of this paper, we employed fuzzy total interpretive structural modeling (TISM), an integrated approach of an interpretive structural model and TISM.FindingsResults suggest that BDA-based enablers namely, IT infrastructure for BDA; leadership commitment; people skills for use of BDA and financial support for BDA significantly enable SCC and enhance firm competitiveness.Practical implicationsResults of the present study have implications for researchers and practitioners; the results will enable them to design policies around identified enablers of BDA initiatives.Originality/valueThe present paper is one of a few early efforts that address the role of BDA in augmenting SCC and subsequently a firm's competitiveness from a resource-dynamic capability perspective.

Modeling resilient factors of the supply chain

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ajeet Kumar Yadav ◽  
Cherian Samuel
Keyword(s):  
Supply Chain ◽  
Structural Model ◽  
Influencing Factor ◽  
Research Work ◽  
Theoretical Concept ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Theoretical Contribution ◽  
Management Culture ◽  
Dependence Relationship

Purpose This paper aims to study the concept, characteristics and factors of the resilient supply chain (RSC) and develop a hierarchical structural model and classify the factors based on their interrelationships. Design/methodology/approach This paper has used a mixed-approach of literature review and expert opinion to identify the factors of RSC. For the development of the structural model and clustering of the factors, this paper has used the total interpretive structural modeling approach with Matrice d’Impacts Croises-Multiplication Applique and Classment and decision-making trial and evaluation laboratory analysis. Findings In total, this study has identified 17 factors that enable the 3R capability of the RSC. The result shows that the factors have a close dependence relationship with supply chain (SC) risk management culture as the most influencing factor. Further, this study classifies the factors into enablers and strategies. Research limitations/implications This research work is the theoretical contribution to the RSC concept and helps the experts to develop and improve the resilient ability in the SC. This research is based entirely on subjective expert feedback; thus, the results are sensitive to the expert’s judgment. Practical implications This research will help the decision-makers in allocating the resources and policies to develop or improve the SC capabilities. Originality/value This research work is the first kind of research in the field of the RSC that considers the 3R concept to identify and model the resilient factors of the SC. Along with the theoretical concept, this research provides empirical evidence for the importance ranking of the factors.

Modeling sustainable development: India ' s strategy for the future

2012 ◽  
Vol 9 (2) ◽  
pp. 120-135 ◽  
Author(s):  
Rajul Singh ◽  
Roma Mitra Debnath
Keyword(s):  
Sustainable Development ◽  
Structural Equation ◽  
Structural Model ◽  
Empirical Studies ◽  
Equation Modeling ◽  
Content Type ◽  
The Sustainable Development ◽  
Strategic Goals ◽  
The Government ◽  
Interpretive Structural Model

Purpose – The purpose of this paper is to understand the relation among the various enablers of Clean Development Mechanism (CDM) to know their degree of dependence and driving power. As there has been non-agreement among the various stakeholders regarding the benefits of sustainability brought about by CDM, this paper explores the viability of sustainable development in the Indian scenario. Design/methodology/approach – This paper discusses a model to address the issues of sustainable development in the context of CDM. An interpretive structural model (ISM) has been used to model the various parameters of sustainable development in the Indian context. The relevant parameters have been considered as per the existing literature review. Findings – The result shows that sustainable development is achievable if the nation emphasizes on strategic goals and mission because sustainable development is driven by the strategic parameters such as “employment creation” and “long-term economic goals”. Research limitations/implications – The ISM model developed is not statistically validated, therefore structural equation modeling (SEM), also commonly known as the linear structural relationship approach, may be used to test the validity of such a hypothetical model. Practical implications – The government of India has to emphasize on education and inclusive employment to improve the quality of life, which would enable the sustainable development to be achieved. Originality/value – This paper describes one of the few empirical studies conducted in India.

An analysis of the barriers to the proliferation of M-commerce in Qatar

2015 ◽  
Vol 17 (1) ◽  
pp. 54-81 ◽  
Author(s):  
Habibullah Khan ◽  
Faisal Talib ◽  
Mohd. Nishat Faisal
Keyword(s):  
Structural Model ◽  
Arab World ◽  
Policy Makers ◽  
Content Type ◽  
Root Cause ◽  
Fast Pace ◽  
Relationship Model ◽  
Growing Economy ◽  
The Impact ◽  
Interpretive Structural Model

Purpose – The purpose of this paper is to identify and develop a hierarchical model for the barriers affecting the growth of mobile commerce (M-commerce). Based on the model developed, the authors’ objective is to identify those variables that are of strategic nature and are the root cause of the issue. Design/methodology/approach – Variables considered as barriers are identified, and utilizing the interpretive structural model approach, a relationship model is developed. Further, the impact matrix cross-reference multiplication applied to a classification approach is used to analyze the effect and dependence among these factors. Findings – The research in the area of M-commerce in the Arab world and related to the strategic aspect is limited in the extant literature. The present study tries to fill this gap by investigating the variables that inhibit the growth of M-commerce in Qatar. The research shows that there exists a group of barriers having a high driving power and low dependence requiring maximum attention and of strategic importance, while another group consists of those variables that have high dependence and are the resultant actions. Practical implications – There is a growing concern that although the numbers of mobile subscribers are increasing at a very fast pace in Qatar, actual M-commerce activities in the country remain low. The findings of this study can be used to understand the differences between the independent and dependent variables and their mutual relationships. The study would also help the policy makers to develop suitable strategies to facilitate growth of M-commerce in the country. Originality/value – This research was the first attempt to investigate the relationships among the variables inhibiting the growth of M-commerce in a fast-growing economy in a Gulf Cooperation Council (GCC) region. Given that there is limited research on M-commerce in the GCC context, the study can be viewed as an investigation that provides a good understanding of the variables and their interrelationships affecting M-commerce proliferation.

Barriers to viability of Indian power distribution companies

2019 ◽  
Vol 13 (4) ◽  
pp. 916-934 ◽  
Author(s):  
Ajay Kumar Pandey ◽  
Manjushree Ghodke
Keyword(s):  
Hierarchical Structure ◽  
Power Distribution ◽  
Structural Model ◽  
Hierarchical Structures ◽  
Power Sector ◽  
Interpretive Structural Modeling ◽  
Related Factors ◽  
Content Type ◽  
The Hierarchical Structure ◽  
Interpretive Structural Model

Purpose The purpose of this paper is to develop an interpretive structural modeling (ISM) of barriers related to viability of Power Distribution Companies (discoms) in India. Design/methodology/approach Feedback from the Experts of Indian power sector has been taken as the basis to develop the model for barriers to viability of discoms, where major barriers have been identified through extent review of literature and through discussions with experts in the power sector keeping the viability of discoms in focus, and the hierarchical structure of barriers has been developed using ISM. Findings An interpretive structural model has been developed for discom-related factors (barriers) affecting its viability. The hierarchical structure portrays the impeding factors of viability and showcases that lack of regulatory effectiveness, inadequate tariffs and lack of government’s expenditures on power sector are the key barriers. Research limitations/implications This paper has implications for both practitioners and academics. For practitioners, it provides an indicative list of major barriers affecting the viability of Indian discoms. For academics, the methodology used provides a mechanism to conduct an exploratory study by identifying the key variables of interest and emphasizing their interactions through hierarchical structures. Originality/value The proposed model for barriers to viability of discoms developed through qualitative modeling technique is a pioneering effort altogether in the context of power distribution companies in India. Understanding contextual relationships among key barriers to viability of discom’s is neglected in existing literature, and this paper makes a contribution in this regard.

Analyzing glacial lake outburst flood triggers for sustainable disaster risk mitigation: an interpretive structural modelling based approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ashish Trivedi ◽  
Ankur Chauhan ◽  
Surya Prakash Singh
Keyword(s):  
Sustainable Development ◽  
Structural Model ◽  
Risk Mitigation ◽  
Flood Hazard ◽  
Disaster Risk ◽  
Glacial Lake ◽  
Glacial Lakes ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Interpretive Structural Model

PurposeClimate change and global warming pose a serious threat to the community as deglaciating environments trigger glacial lake outburst floods (GLOFs). The Sendai framework underpins the role of disaster risk reduction (DRR) for sustainable development, thereby calling for the development of GLOF hazard and risk assessment procedures. This study aims to delineate the enablers of GLOF risk and establish a contextual relationship between them.Design/methodology/approachThe risk enablers are identified from the extant GLOF literature, and the experts from disaster management area are consulted to explore the underlying contextual relationship among them. An interpretive structural model is developed from the responses to analyze the contextual relationships among the risk enablers.FindingsThe interpretive structural modeling results manifest that seismic activity, temperature and precipitation events, and proximity are key drivers that trigger flash floods from the lakes and an effective assessment of these triggers may contribute significantly to GLOF risk mitigation.Originality/valueThe study models the complex relationship among the risk enablers for a glacial flood hazard that find commonality across all geographic contexts. The findings provide the practitioners of DRR useful insights into these factors and their subsequent impact on others, while conducting hazard assessment of glacial lakes that may contribute to the sustainable development of settlements lying downstream to glacial lakes.

scholarly journals A Strategic Framework for Transformational Leadership Development in Megaprojects

2021 ◽  
Vol 13 (6) ◽  
pp. 3480
Author(s):  
Abdulla Abdulaziz Al-Subaie ◽  
Mohd. Nishat Faisal ◽  
Belaid Aouni ◽  
Faisal Talib
Keyword(s):  
Transformational Leadership ◽  
Leadership Development ◽  
Leadership Style ◽  
Structural Model ◽  
Project Success ◽  
Project Managers ◽  
Transformational Leaders ◽  
Policy Makers ◽  
Transformational Leadership Style ◽  
Interpretive Structural Model

Project managers’ leadership has a direct and an indirect effect on project success. Extant literature has established that transformational leadership style positively affects project success in a major way. The main aim of this research is to understand the variables that positively affects transformational leadership development and their interrelationships in megaprojects. The Total Interpretive Structural Model (TISM) methodology is adopted to propose a framework, and Impact Matrix Cross-Reference Multiplication Applied to a Classification (MICMAC) approach is used to examine the strategic nature of the enablers. The research shows that there exists a group of enablers having a high driving power and low dependence, requiring maximum attention and of strategic importance, while another group consists of those variables that have high dependence and are resultant actions. Furthermore, the model explains the relationships among each pair of variables. Organisations dealing in megaprojects would be the major beneficiaries of this study. Policy makers in these organisations would explicitly understand the variables and their interrelationships that needs attention for transformational leadership development. This would help them to prioritize their efforts and implement suitable strategies to focus on the most important variables for developing transformational leaders ultimately leading to project success.

scholarly journals Factors Affecting the Lut Desert Tourism in Iran: Developing an Interpretive-Structural Model

2021 ◽  
Vol 13 (13) ◽  
pp. 7245
Author(s):  
Beniamino Murgante ◽  
Mohammad Eskandari Sani ◽  
Sara Pishgahi ◽  
Moslem Zarghamfard ◽  
Fatemeh Kahaki
Keyword(s):  
Sampling Method ◽  
Structural Model ◽  
Tourism Development ◽  
Cost Effective ◽  
Structural Modeling ◽  
Interpretive Structural Modeling ◽  
Factors Affecting ◽  
Purposive Sampling ◽  
Interpretive Structural Model ◽  
Lut Desert

The Lut desert is one of the largest and most attractive deserts in Iran. The value of desert tourism remains unclear for Iran’s economy and has only recently been taken into consideration by the authorities, although its true national and international value remains unclear. This study was aimed at investigating the factors that influence tourism development in the Lut desert. Data collected through the purposive sampling method was analyzed using Interpretive Structural Modeling and the MICMAC Analysis. According to the results, cost-effective travel expenses, security, and safety provided in the desert, together with appropriate media advertising and illustration of the Lut desert (branding) are the leading factors that influence tourism in the Lut desert in Iran. This paper highlighted the importance of desert tourism, especially in this region.

Socio economic and psychological dimensions of migration-induced exclusion of the elderly in Kerala, India: an empirical analysis

2016 ◽  
Vol 12 (1) ◽  
pp. 51-65
Author(s):  
Damodaran Rajasenan ◽  
M. S. Jayakumar ◽  
Bijith George Abraham
Keyword(s):  
The Elderly ◽  
Policy Framework ◽  
Policy Makers ◽  
Content Type ◽  
Left Behind ◽  
Emerging Culture ◽  
Principal Factors ◽  
Working Groups ◽  
The Government ◽  
Role Of The Government

Purpose – The purpose of this paper is to link the multifarious problems of the elderly in a socio-economic and psychological framework. Design/methodology/approach – The universe of the sample is elderly left behind in emigrant households in Kerala. In total, 600 samples were mustered using multistage stratified random sampling method. The paper, with the aid of factor analysis, χ2 and correspondence analysis, blemish the principal factors responsible for the migration-induced exclusion of the elderly. Findings – The empirical result derived from the study shows that migration-induced exclusion is all pervasive in Kerala. The elderly left behind yearn for the presence of their children rather than the emigration and concomitant remittances. Research limitations/implications – The findings of the study are helpful to the policy makers to understand the issues faced by the elderly and include all stakeholders concerned to find a solution to tackle these problems faced by the elderly due to emigration of their children. Practical implications – The study is practically relevant in developing appropriate policy framework in Kerala as it illumines the role of the government to overcome the exclusionary trend and other manifold problems of the elderly. Social implications – The study sheds light to a new social problem developing in the state in the form of elderly exclusion owing to emigration of the young working groups in regional dimensions, demographic levels, community angles and the emerging culture of old age home in the Kerala economy and society. Originality/value – The study is a unique one and tries to situate the principal factors responsible for the emigration-induced exclusion of the elderly in Kerala with empirical evidence.

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