Browsing by Author "Barve A."

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Analysis of barriers in implementation of Goods and Service Tax (GST) in India using interpretive structural modelling (ISM) approach
(2019) Kumar M.; Barve A.; Yadav D.K.
Goods and Service Tax (GST), a destination-based unified taxation system, was implemented on 1st July 2017 in India replacing 17 different indirect taxes with the vision to create a seamless common market. A country like India, with the population of over 1.3 billion and heterogeneous distribution of wealth having a federal structure, opted for six different tax slab and dual-GST structure. In some countries, GST has been successful but in others, it has failed. We have attempted to investigate the barriers to the smooth implementation of GST. In this paper, we have identified 12 barriers to GST implementation. Using interpretive structural modelling (ISM), this study finds the driving and dependence nature of different barriers to develop a structural model. The results of analysis found that lack of skilled manpower, lack of clarity of GST provisions, political unwillingness, and lack of policy for proper division of tax are the major barriers in the implementation of GST. In addition to the above analysis, MICMAC analysis is utilized to cluster the barriers in four categories as per their relative driving and dependence powers. � 2019, Springer Nature Limited.
Analysis of critical activities for GSCM implementation in mining supply chains in India using fuzzy analytical hierarchy process
(2015) Muduli K.; Barve A.
Strong evidence exists in literature regarding improved organisational performance in economical and environmental front due to adoption of green supply chain management (GSCM) practices. Motivated by this, few bigger Indian mining industries have started adopting GSCM practices with a view not only to improve their performance but also to maintain a steady operation that is free from government and social interruptions. One of the reasons behind poor rate of GSCM adoption in Indian mining industries is lack of sector specific GSCM success criteria. In order to bridge this gap this paper makes a novel approach to establish a validated set of GSCM success activities. This paper further employs fuzzy analytical hierarchy process (FAHP) to evaluate the priority weights of these success activities which could be helpful for the decision makers in assessing and improving their GSCM effectiveness. Copyright � 2015 Inderscience Enterprises Ltd.
Analysis of critical success factors of humanitarian supply chain: An application of Interpretive Structural Modeling
(2015) Yadav D.K.; Barve A.
With increasing frequency and intensity of disasters and large number of people being affected by them, the subject needs more attention and a planned approach. And in order to reduce the adverse impact of disasters and to improve the disaster relief practices, academicians and practitioners are emphasizing on a number of diverse factors of humanitarian supply chain by segmenting them into different clusters. This research is intended to address the critical success factors (CSFs) of humanitarian supply chain which emerges during disaster preparedness and immediate response phase. Through a review of literature and expert consultation, 12 critical success factors leading to responsive humanitarian supply chains have been identified. In this paper, the authors have used Interpretive Structural Modeling (ISM) approach to interpret the interdependency among the selected CSFs. In addition, MICMAC (Matrice d'Impacts Crois�s Multiplication Appliqu�e � un Classement (cross-impact matrix multiplication applied to classification)) analysis is also used to illustrate the relative driving and dependence power among the selected factors. This paper argues that, Government policies and Organizational structure is the most dominating factor which has the highest driving power and the minimum dependence power as it drive others factors and forms the base of interpretive structure model. The outcome of this research presents the insight of humanitarian supply chain practices and discussion from both a researcher and managerial perspective is also summarized. � 2015 Elsevier Ltd.
Analysis of socioeconomic vulnerability for cyclone-affected communities in coastal Odisha, India
(2017) Yadav D.K.; Barve A.
This research is based on the assessment of vulnerability for six of the most cyclone prone coastal blocks in the state of Odisha, India. The necessary primary data were collected from 450 sample households through a structured questionnaire survey. The secondary data related to the demographic profile of blocks were taken from the published census reports. The socioeconomic vulnerability score for each block is developed using a set of 29 indicators selected from the literature review and in consultation with experts. The selected indicators cover the IPCC dimensions of vulnerability (adaptive capacity, sensitivity, and exposure to climate change led hazards). Results of this research conclude that among the six blocks, Soro block is the most vulnerable and Rangeilunda block is the least vulnerable. The most influential factors for socioeconomic vulnerability in the study area include population density, population growth rate, percentage of rural population, distance of cyclone shelter, unemployment, adequate toilet facility, frequency and impact of flood and cyclone, and lack of logistics supports during cyclone. The findings of this study advocate that the interventions for vulnerability reduction and development of adequate coping mechanism should be made for the communities living in such areas. � 2017 Elsevier Ltd
Barriers to green supply chain management in Indian mining industries: A graph theoretic approach
(2013) Muduli K.; Govindan K.; Barve A.; Geng Y.
A country's mining industry, despite its significant contributions to the country's economic growth, generally has a very poor public image because it is considered as a major environmental polluter. To acquire an improved social image, as well as to comply with government regulations, mining industries are increasingly implementing environmental management systems (EMS), cleaner production (CP), and adopting green supply chain management (GSCM) practices. GSCM focuses on a reduction of the adverse impacts of supply chain activities as well as a minimization of energy and material usage. This study focuses on the mining industry as a case study by which we will identify factors and sub-factors hindering GSCM implementation. A graph theoretic and matrix approach (GTMA) has been used to quantify the adverse impact of these barriers on GSCM implementation. An assessment of the inhibiting strength of the barriers will help decision makers rank them and decide a course of action that will make an optimum utilization of available resources during times of resource scarcity. � 2012 Published by Elsevier Ltd.
Developing a sustainable development framework in the context of mining industries: AHP approach
(2015) Shen L.; Muduli K.; Barve A.
Although mining companies contribute positively to the social and economical components of sustainable development (SD) by generating employment and wealth, they still negatively contribute to the ecological component of SD. Therefore, mining companies are increasingly showing their inclination toward the adoption of green supply chain management (GSCM) in order to improve their ecological performance. With an extensive literature survey, various criteria and sub-criteria for improving the effectiveness of GSCM implementation are identified from the literature. Analytic hierarchy process (AHP) is used to evaluate the competitive priorities of these criteria, and interested organizations can use it as a procedural guidance for GSCM implementation. It has been found that mining companies have not given the "soft" factors of GSCM adequate attention. This study explores how the "appropriate implementation approach" and "continuous improvement" are the weaker areas of GSCM practice in the case of the Indian mining sector. Hence, mining industries need to focus on these weaker areas and bring necessary improvements to these areas in order to enhance their GSCM performance. � 2013 Elsevier Ltd.
Establishment of a sustainable development framework in small scale mining supply chains in India
(2013) Muduli K.; Barve A.
Green supply chain management (GSCM) improves environmental performance of the organisation which leads to their increased social image while enabling them to improve economical performance through cost reduction and cost saving principles. In fact GSCM success can lead to increased contribution of the organisations towards sustainable development (SD). However, mining industries in India particularly small scale mines are either unable to implement GSCM successfully or reluctant to adopt it. The reason may be lack of adequate knowledge of potential GSCM barriers and the existing causal relationship among them. To bridge this gap this research tries to explore the potential GSCM barriers in small scale Indian mining industries and proposes, decision making trial and evaluation laboratory (DEMATEL) method to extract the causal relationships among them. Prior knowledge of the barriers and their nature will help the decision makers in formulating effective strategies to bring improvements in GSCM implementation that supports sustainable development. Copyright � 2013 Inderscience Enterprises Ltd.
Green practices adopted by the mining supply chains in India: A case study
(2016) Muduli K.; Barve A.; Tripathy S.; Biswal J.N.
Growing public awareness regarding mining environmental issues has put mining industries under a lot of pressure lately from everyone including government and their investors. In response to these pressures, mining industries worldwide have taken various green initiatives [for example, green supply chain management (GSCM)] to minimise their wastes and emissions and enhance performance and economic front. However, a large number of Indian mining industries are blamed for poor GSCM performance. The reason being unavailability of sector specific implementation guidelines or/and inadequate information regarding the factors that influence GSCM adoption. Hence, cases of three mining sectors and the green practices adopted by them are investigated in this research and it was found that apart from challenges suffered by small scale industries the green attempts made by large scale industries have been successful. Few policy suggestions recommended by the study helps validate the barriers of GSCM implementation and improve performance of mining industries particularly the smaller ones upon adoption. Copyright � 2016 Inderscience Enterprises Ltd.
Investigation of influential factors of green supply chain management in Indian mining industries: An empirical study
(2017) Muduli K.; Biswal J.N.; Satapathy S.; Barve A.; Tripathy S.
Green supply chain management (GSCM) focuses on reduction of the adverse impacts of supply chain activities as well as a minimisation of energy and material usage. A successful implementation of GSCM is important for industries to increase economic-environmental performances. However, the GSCM adoption rate in Indian companies, particularly in the mining sector is not encouraging. There exists a set of factors that enhances GSCM adoption while others offer resistance to it. An attempt has been made to empirically test the relationship of various factors on GSCM implementation considering data collected from 144 respondents working in Indian mining industries, in which it was found that there is no difference in perception regarding the barriers of GSCM implementation. GSCM adoption in mining industries is initiated by factors like: 'society pressure', 'regulative pressure', 'investors' pressure'and 'eco-literacy among supply chain partners'. Further, practices like 'organising', 'initial environmental review' and 'continuous improvement' enhance GSCM effectiveness. Copyright � 2017 Inderscience Enterprises Ltd.
Investigation of the influential strength of factors on adoption of green supply chain management practices: An Indian mining scenario
(2016) Govindan K.; Muduli K.; Devika K.; Barve A.
Rapid industrial development that leads to economic growth and massive employment generation needs intense support from mining industries which act as a downstream supply chain partner for an industry. The counter side of intensive and unregulated mining activities is the massive waste generation and environmental degradation. Waste produced by mining industries is acquired by their upstream supply chain partners. So, there is a growing pressure on mining companies to enhance their ecological performance. In this regard, green supply chain management (GSCM), emerged as an environmental strategy that not only improves the environmental performance of individual organizations, but also that of the entire supply chain which has also been accepted by industries. However, an exception is observed in the case of the mining industries in India. This can be attributed to the poor understanding of the involved factors. Hence, an attempt is made here to identify the drivers of GSCM and extract the causal relationship among them through the use of decision making trial and evaluation laboratory (DEMATEL). Further, the strength of influence of these drivers on each other as also on the entire system is investigated to prioritize the drivers according to their influential strength. The results of the study, explore 'top management commitment' and 'competitiveness' as the two most important drivers whereas 'employee pressure' is the least important driver. � 2015 Elsevier B.V. All rights reserved.
Modeling Post-disaster Challenges of Humanitarian Supply Chains: A TISM Approach
(2016) Yadav D.K.; Barve A.
Concern related to risk reduction and sustainability in disaster relief aid is increasing from past few years and will be continued due to increasing frequency of disasters and the people coming in their ways. The approach of any disaster relief activities must not be limited only to saving lives and providing relief but also to making the communities capable for next disasters they may face. Relief aid distribution is usually logistics activites but unpredictable nature of disaster, damaged communication systems, asymmetry in relief-demand information and a chaotic environment created by the disaster make it as the most challenging. Therefore, it appeals the need to identify various challenges of humanitarian supply chains and to develop a hierarchy towards achieving sustainability in relief during post extreme events. In this article, total interpretive structural modelling, an interactive tool and an innovative version of interpretive structural modeling technique, has been applied as the methodology to develop a hierarchical model that also explains the interrelation of selected fifteen challenges and the level of the hierarchy. Result of the developed model suggests that the poor strategic planning and lack of investment in ex-ante measures (limited numbers and capacity of shelters, and less numbers of in-country warehouses) lead to the lack of sustainable relief aid. � 2016, Global Institute of Flexible Systems Management.
Modelling the challenges of green supply chain management practices in Indian mining industries
(2013) Barve A.; Muduli K.
Purpose - Green supply chain management (GSCM) has received growing attention in the last few years. Almost all industries including mining industries are hit by green fever. In this context, this study aims to identify various challenges faced by the Indian mining industries during GSCM implementation and practices and to represent in a hierarchical manner. Design/methodology/approach - Various barriers and contextual relationships among them have been identified. Classification of barriers has been carried out based upon dependence and driving power (DP) with the help of MICMAC analysis. In addition to this, a structural model of the barriers to GSCM practices in Indian mining industries has been put forward using interpretive structural modelling (ISM) technique. Findings - In the present work, 11 numbers of relevant barriers have been identified from literature and subsequent discussions with experts from academia and industry. Lack of environmental awareness, poor legislation and inadequate pressure from societies positioned at the bottom of the hierarchy are found to be the key barriers. These barriers have high DP and less dependence. Research limitations/implications - A model of these barriers has been developed based upon expert's opinions and literature survey. This model is not statistically validated. This model also does not quantify the adverse effect of each of the variables on GSCM practices in Indian mining industries. Practical implications - The development of a hierarchy helps in the classification and categorization of the barriers, and thereby formulates their respective strategies and policies while providing clarity of thought. Also this hierarchy facilitates the allocation of resources in a rational manner at the time of scarcity of resources and to achieve the maximum benefits of the available resources. Originality/value - The structured model developed will help to understand interdependence of the barriers. Using ISM, this paper has developed a hierarchy of these barriers which is useful to identify the hierarchy of actions to be taken for handling different barriers. � Emerald Group Publishing Limited.
Prioritization of cyclone preparedness activities in humanitarian supply chains using fuzzy analytical network process
(2019) Yadav D.K.; Barve A.
During recent years, the importance of preparedness has increased with increasing frequency of disasters and the cost associated with relief and response activities. Therefore, this study is designed to present the identification and evaluation process of cyclone disaster�s preparedness activities�also termed as measures. In this study, 27 cyclone preparedness activities have been prioritized considering six criteria�effective and immediate response, last mile connectivity, disaster resilient community, risk and vulnerability reduction, life safety and property protection, and sustainable recovery and rehabilitation. Moreover, the evaluation process for prioritization of preparedness activities involves significant uncertainty and subjectivity. Therefore, this study integrates the fuzzy logic with analytical network process, a multi-criteria decision-making tool to analyze and present the ranking of selected preparedness activities. Results of this research indicate that human resource management activities are the most needed preparedness activities to mitigate the risk of cyclone disasters�in the Indian context. Lastly, sensitivity analysis has also accompanied to reveal the importance of weighing on the ranking of preparedness activities. � 2019, Springer Nature B.V.
Prioritizing barriers in reverse logistics of E-commerce supply chain using fuzzy-analytic hierarchy process
(2019) Lamba D.; Yadav D.K.; Barve A.; Panda G.
Several factors like returns, undelivered and damaged goods, exchange, and environmental concern make reverse logistics (RL) inevitable in an E-commerce supply chain. In spite of understanding the importance of RL in current business scenario, most of the companies concentrate on forward logistics, while reverse flow from customer to upstream business is not receiving much interest. Considering this less focused aspect of reverse logistics, the objective of this research is to identify and propose a model to rank the inhibiting variables i.e. the barriers so the logistician can solve them as per the priority. The extensive literature survey and experts� opinion helped in identifying 16 barriers for the study. But the availability of a number of barriers makes evaluating and selecting the most important RL barrier a challenging task and thus it can be dealt with as a multi-criteria decision-making problem. In this paper, a methodology based on analytic hierarchy process has been used to prioritize the barriers of RL. Findings of this paper show that the lack of investment in reverse logistics, lack of understanding about best practices and uncertain return and demand are the three topmost barriers for RL of E-commerce companies. � 2019, Springer Science+Business Media, LLC, part of Springer Nature.
Role of behavioural factors in green supply chain management implementation in Indian mining industries
(2013) Muduli K.; Govindan K.; Barve A.; Kannan D.; Geng Y.
Green supply chain management (GSCM) integrates ecological concepts with those of supply chain management in order to minimize energy and material usage and to reduce adverse impacts of supply chain activities on the environment. GSCM implementation in mining industries depends largely upon certain factors which are influenced by human behaviours. Human behaviour is dynamic in nature and the relationships between them continuously evolve and change. In this ever-changing context, therefore, identifying and ranking the behavioural factors that affect GSCM implementation becomes essential. This can be taken as a reference by the decision makers while deciding the hierarchy of action necessary for effective implementation of green practices in mining supply chains. The present research attempts to explore various behavioural factors affecting GCSM practices and their interactions which help to attain green-enabled needs. Interpretive structural modelling (ISM) is employed in this research to extract the interrelationships among the identified behavioural factors. � 2013 Elsevier B.V. All rights reserved.
Segmenting critical success factors of humanitarian supply chains using fuzzy DEMATEL
(2018) Yadav D.K.; Barve A.
Purpose: The purpose of this paper is to explore and analyse the critical success factors (CSFs) of humanitarian supply chains in mitigating the impact of cyclones in the Indian context using the fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) approach. Design/methodology/approach: The selection of CSFs of humanitarian supply chains has been done through several secondary sources and discussion with 12 disaster experts. Thereafter, DEMATEL, an expert judgement-based technique, has been used for selecting, building and analysing a structural model that involves causal relationships between the set of identified CSFs. Furthermore, to accommodate the vagueness involved in human judgement, fuzzy logic is incorporated with the DEMATEL. Findings: Based on a literature survey and expert judgement, total 16 CSFs of humanitarian supply chains have been segmented into cause and effect groups based upon their relative influencing scores. The analysis shows that the out of 16 CSFs, ten CSFs have been categorised into cause group CSFs and six as the effect group CSFs. Practical implications: The findings of this study will help disaster management institutions, humanitarian agencies, logisticians, NGOs and cyclone-prone countries to improve the critical ingredients in designing and executing an effective cyclone response operation. Originality/value: In this study, fuzzy DEMATEL has been applied to identify and analyse the CSFs of humanitarian supply chains for the cyclone disaster response in the Indian context, which is a novel contribution widening the existing knowledge in humanitarian relief domain. � 2018, Emerald Publishing Limited.
Sustainable development practices in mining sector: A GSCM approach
(2013) Muduli K.; Barve A.
Public interest on environment and ecology has grown manifolds due to rapid climate changes, environmental health hazards and energy crisis. This has drawn the attention of mass media, societies and governments to intensify pressure on organisations for transforming their process intoeco-friendly process. Subsequently, organisations have been looking for developing models, algorithms, technologies, information and communication system that can contribute best to their sustainable development (SD) policies by integrating their economical, social and environmental objectives. This paper aims at developing a sustainable development framework for Indian mining industries through GSCM approach. A hierarchical model of the driversaffecting the implementation of green supply chain management in Indian mining industries has been developed using an interpretive structural modeling (ISM) framework. The various drivers of green supply chain management (GSCM) are identified based on the review of GSCM literature and expert consultations. Copyright � 2013 Inderscience Enterprises Ltd.