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.

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 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.

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 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.

Perceiving Hierarchical Structures in Nonrepresentational Paintings

1998 ◽  
Vol 16 (1) ◽  
pp. 59-70 ◽  
Author(s):  
Tsion Avital ◽  
Gerald C. Cupchik
Keyword(s):  
Factor Analysis ◽  
Multidimensional Scaling ◽  
Hierarchical Structure ◽  
Hierarchical Structures ◽  
Exploratory Activity ◽  
Affective Responses ◽  
Hierarchical Complexity ◽  
The Hierarchical Structure ◽  
Relative Separation ◽  
Dimension 2

A series of four experiments were conducted to examine viewer perceptions of three sets of five nonrepresentational paintings. Increased complexity was embedded in the hierarchical structure of each set by carefully selecting colors and ordering them in each successive painting according to certain rules of transformation which created hierarchies. Experiment 1 supported the hypothesis that subjects would discern the hierarchical complexity underlying the sets of paintings. In Experiment 2 viewers rated the paintings on collative (complexity, disorder) and affective (pleasing, interesting, tension, and power) scales, and a factor analysis revealed that affective ratings were tied to complexity (Factor 1) but not to disorder (Factor 2). In Experiment 3, a measure of exploratory activity (free looking time) was correlated with complexity (Factor 1) but not with disorder (Factor 2). Multidimensional scaling was used in Experiment 4 to examine perceptions of the paintings seen in pairs. Dimension 1 contrasted Soft with Hard-Edged paintings, while Dimension 2 reflected the relative separation of figure from ground in these paintings. Together these results show that untrained viewers can discern hierarchical complexity in paintings and that this quality stimulates affective responses and exploratory activity.

Barriers to adoption of reverse logistics: a case of construction, real estate, infrastructure and project (CRIP) sectors

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sudhir Ambekar ◽  
Dipayan Roy ◽  
Amit Hiray ◽  
Anand Prakash ◽  
Vishal Singh Patyal
Keyword(s):  
Real Estate ◽  
Reverse Logistics ◽  
Delphi Study ◽  
Structural Model ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Organizational Policies ◽  
Technology System ◽  
Inadequate Information ◽  
Scarcity Of Resources

PurposeThis study attempts to identify and analyse the barriers to implementing a reverse logistics (RL) system in Indian Construction, Real estate, Infrastructure and Project (CRIP) sectors and present a structured model to identify interdependencies among them.Design/methodology/approachThe barriers to implementing RL in CRIP sectors in India were identified using a Delphi study. The interdependencies were identified using Interpretive Structural Modeling (ISM). Further, using the Matriced' Impacts Croisés Multiplication Appliquée à un Classement (MICMAC) analysis, the barriers were classified on the basis of their driving power and interdependencies.FindingsThe study has identified ten barriers that can hamper the application of an RL system in CRIP sectors. The finding of the ISM model shows that macro level barriers such as lack of awareness of reverse logistics, insufficient government policies and unavailability of standard codes stimulate each other and also drive all other barriers. The organization-specific barriers operating at the strategic/tactical level, namely, company's rigid mechanism, lack of awareness of economic profits, inadequate company’s organizational policies and lack of training, reluctance from stakeholders, scarcity of resources and finance from company are found at the intermediate level of hierarchy and they can be influenced by the barriers at the lower level and influence the barriers on the and higher levels. The operational level barrier namely “Inadequate Information Technology system” is at the top of the hierarchy and can be driven by all the barriers at the lower level.Research limitations/implicationsThe present findings are based on the opinions of experts only from Indian CRIP sectors so the results may require to be validated in other contexts.Practical implicationsThe structural model presenting the interdependencies will be a guide for the CRIP supply chain professionals in understanding and ranking the barriers they may face while implementing the RL system.Originality/valueThe study contributes to the existing literature by providing a set of barriers and their interdependencies faced during the implementation of an RL system implementation in CRIP sectors. It is one of the first studies which identifies barriers applicable to the CRIP firms in India and models their inter-dependencies. Additionally Consequently, these firms can make a move forward towards a circular economy by overcoming these interlinked barriers.

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

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

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

Sustainable logistics barriers of fruits and vegetables

2018 ◽  
Vol 25 (8) ◽  
pp. 2589-2610 ◽  
Author(s):  
Rakesh Raut ◽  
Bhaskar B. Gardas
Keyword(s):  
Supply Chain ◽  
Value Chain ◽  
Fruits And Vegetables ◽  
Structural Model ◽  
Fresh Produce ◽  
Sustainable Transportation ◽  
Three Dimensions ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Sustainable Logistics

PurposeThe reduction of food wastage at every stage of a fresh produce supply chain helps in achieving balance among all three dimensions (social, ecological and economic) of the sustainability and helps in stimulating the growth and development in the agricultural domain. The purpose of this paper is to address the causal factors of post-harvesting losses (PHLs) occurring in the transportation phase.Design/methodology/approachThrough exhaustive literature survey and expert opinions, 12 crucial barriers to sustainable transportation of fruits and vegetables (F&V) are identified. The interpretive structural modeling (ISM) methodology, a multi-criteria decision-making (MCDM) approach, is employed for developing a structural model of the identified barriers.FindingsThe results of the analysis highlighted that two factors, namely, the non-availability of refrigerated vehicles, and excessive loading on the vehicles, are the most significant barriers to sustainable transportation which are found to have the highest driving power.Research limitations/implicationsThe results of the present research are applicable to the F&V supply chains only. The established interrelation among the identified factors depends on the judgments given by the experts which could be biased. The developed ISM model is intended to guide the policy and decision makers for formulating the policies for the performance improvement of the fresh produce value chain.Originality/valueIt is the first research of its kind focusing on the model development of critical factors causing PHLs in the transportation phase of the agricultural fresh produce supply chain using MCDM process.

Identification of drivers of employee engagement in Indian power companies

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Samarendra Kumar Mohanty ◽  
Arunprasad P
Keyword(s):  
Organizational Culture ◽  
Employee Engagement ◽  
Social Exchange ◽  
Power Distribution ◽  
Structural Equation ◽  
Organizational Trust ◽  
Equation Modeling ◽  
Power Sector ◽  
Content Type ◽  
Supervisor Trust

PurposeThe purpose of this paper is to extend the scope of social exchange theory (SET) to explore employee engagement and test its application in the context of Indian power companies. The study also attempts to explore the antecedents of employee engagement. This study includes organizational culture and three trusts, that is co-worker trust, supervisor trust and organizational trust whose presence in the organization influences employee engagement.Design/methodology/approachThe study includes a sample of 812 executives who represent three major functions of the Indian power sector, that is power generation, power transmission and power distribution. The relationships between constructs are evaluated using structural equation modeling.FindingsThe findings of this study indicate that four resources in the organization influence employee engagement in different ways. Three constructs representing co-worker trust, supervisor trust and organizational trust partially mediate the relation between organizational culture and employee engagement. This study also compares the engagement levels of the employees from three power companies.Research limitations/implicationsThis study is focused on companies operating in only the government sector.Practical implicationsEnsuring engagement from employees for the critical power sector is expected to support the development of the HR practices in this sector. Identification of sector-specific resources is expected to aid both employees and policymakers from the organization.Social implicationsThis study assists the policy makers in the organization by showcasing the importance of organizational culture, interpersonal and organizational trusts and their impact on employee engagement.Originality/valueResource theory explains why certain resources in the workplace are exchanged for employee engagement. This study extends theories of engagement as well as SET and examines their application as employee engagement in the context of executives from Indian power companies. This understanding will aid the practitioners and researchers to further their understanding of employee engagement.

Modeling the hierarchical structure of secondhand clothing buying behavior antecedents of millennials

2020 ◽  
Vol 15 (4) ◽  
pp. 1679-1708 ◽  
Author(s):  
Maria Esther Medalla ◽  
Kafferine Yamagishi ◽  
Ann Myril Tiu ◽  
Reciel Ann Tanaid ◽  
Dharyll Prince Mariscal Abellana ◽  
...  
Keyword(s):  
Hierarchical Structure ◽  
Current Literature ◽  
Design Methodology ◽  
Structural Modeling ◽  
Buying Behavior ◽  
Theoretical Frameworks ◽  
Content Type ◽  
The Hierarchical Structure ◽  
Holistic Analysis

Purpose Due to the growing dominance of the millennials in the secondhand clothing (SHC) market, it is crucial to understand the dynamics of their SHC buying behavior. Despite such significance, it has yet to be explored in the current literature. To address such a gap, this paper aims to explore the antecedents of the SHC buying behavior of millennials. Design/methodology/approach A purposive survey is conducted to establish relationships between the antecedents. As such, the interrelationships of the antecedents are modeled using the interpretative structural modeling (ISM) approach. Findings Results reveal that SHC antecedents exhibit several characteristics depending upon their characterization of being driving, dependence, linkage and autonomous variables. Originality/value This work pioneers the identification of SHC buying behavior antecedents specifically for the millennial market, as well as in the provision of a holistic analysis of the complex contextual relationships of these antecedents. The findings of this work provide insights that are crucial to the extant literature in developing theoretical frameworks and paradigms that help in understanding the dynamics of the SHC buying behavior. Moreover, such results are beneficial to marketing managers and practitioners in innovating their strategies to capture the millennial market better.

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