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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.

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.

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.

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.

The Indian power sector is dominated by coal. Environmental awareness and advances in techno-economic front have led to a slow but steady shift towards greener alternatives. The distributions of both fossil fuel resources and renewable energy potential are not uniform across the states. Paper attempts to answer how the states are performing in the sector and how the renewable energy and conventional resources are affecting the dynamics.

The authors employ a two-stage data envelopment analysis (DEA) to rank the performance of Indian states in the power sector. Multi-stage analysis opens up the DEA black-box through disaggregating power sector in two logical sub-sectors. The performance is evaluated from the point-of-view of policy formulating and implementing agencies. Further, an econometric analysis using seemingly unrelated regression equations (SURE) is conducted to estimate the determinants of total and industrial per-capita electricity consumption.

Efficiency scores obtained from the first phase of analysis happens to be a significant explanatory variable for power consumption. The growth in electricity consumption, which is necessary for economic wellbeing, is positively affected by both renewable and non-renewable sources; but conventional sources have a larger impact on per-capita consumption. Yet, the share of renewables in the energy mix has positive elasticity. Hence, the findings are encouraging, because development in storage technologies, falling costs and policy interventions are poised to give further impetus to renewable sources.

The study is one of the very few where entire spectrum of the Indian power sector is evaluated from efficiency perspective. Further, the second phase analysis gives additional relevant insights on the sector.

This article aims to examine the state of risk management in agriculture and power sector of India, evaluate the effectiveness of weather derivatives as alternative risk management tools and basic framework required to implement them.

Applications of traditional risk‐hedging tools and techniques in Indian agricultural and power sectors have proved to be costly, inadequate, and more importantly, a drag on the country's fiscal system. Mostly they offer a hedge against only the price risk. The volume related risk, which is rather more serious and highly weather‐dependent, remains practically unhedged. This study has used existing literature and empirical evidences for analyzing the various issues related to risk management in agriculture and power sector. Traditional derivative strategies have been used to construct weather derivatives contracts with different underlying weather indices.

The article suggests that how an appropriate weather‐based derivative contract system may be a more flexible, economical and sustainable way of managing the volume‐related weather risk in an economy, like India, having predominant agricultural and power sectors.

The article will be of value to all those who have some stakes in agricultural and power sectors of an economy and would like to mange the volume related risk in these sectors.

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.

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.

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.

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.

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.

This paper aims to present a practical and sequential application of the theory of constraints (TOC) to eliminate the critical barriers to Indian power transmission system (IPTS) that were limiting the entire power service quality.

This study uses a well-known management technique known as TOC, which has the capability and positive force to eliminate the barrier through sequential managerial procedures. TOC framework can provide practical guidance to stakeholders of the power transmission sectors through situational assessment, conflict resolution, planning and implementing changes required in the IPTS.

This study explains the utility of five-steps thinking process (TP) of TOC especially in the IPTS sector. The study also describes how each step of TP can improve the performance of IPTS against its specified goal. The study brings management’s attention on the system’s weak links that must be leveraged by eliminating them from the system. Major types of constraints are related to the restrictive policy of the sector that mainly include lack of strategic planning, lack of investments and lesser participation of the private players in the IPTS. This study further identifies and suggests various strategies to eliminate the critical barriers of IPTS.

The five-step process of TOC has been successfully applied in manufacturing sector and service sector processes, such as banking and medical services. This paper has uniquely applied TOC in the area of power sector, which is considered as one of key service sectors that form an important share for the Indian economy.

Inspired by India’s focus in the 11th and 12th Five Year Plans on fulfilling the surging energy needs, the purpose of this paper is to capture the Quality of work life (QWL) in the Indian power sector.

QWL measured with seven dimensions was validated with CFA, and the χ² difference test based on the Bonferroni method (Simes, 1986) was used for discriminant validity. Individual processes were analyzed with correlation analysis and ANOVA. The influencers of QWL in three processes were compared with standardized coefficients and model fit indices.

Freedom from work-related stress, salary, relationship with work colleagues, job security and communication and job satisfaction positively influenced QWL. Supervisor support was not found to influence QWL, while job involvement was found to negatively influence QWL.

The scope of this study is limited to India, however, and results may not generalize to other countries. Hence, future studies should replicate the study in power sector or allied manufacturing sector in different cultural settings. Another limitation lies in its relatively small sample size; therefore, generalizability of the results may be restricted.

The findings provide useful information to assist HR managers in improving the QWL among Indian power sector employees.

The study is one of the first studies to date to empirically examine the QWL among Indian power sector employees.

The objective of the present study is to evaluate and analyse the performance of Indian electricity distribution utilities post the implementation of landmark Electricity Act 2003.

Stochastic frontier analysis (SFA) that incorporates exogenous influences on operational efficiency is adopted in the present study. Specifically, a stochastic frontier production function model with a technical inefficiency effects model (Battese and Coelli, 1995) is chosen as a preferred model. In this model, the function that explains the inefficiency scores is estimated in a single stage with the production technology. This avoids the problem of inconsistency which is possible in the two-stage approach.

The sample involved 52 Indian electricity distribution utilities for seven-year period from 2006 to 2013. Major findings of SFA show that Indian electricity distribution utilities post the implementation of Electricity Act (2003) had, on average, experienced efficiency improvement during the observed period. The overall mean technical effciency score is estimated as 78.5% which indicates that there exist wide scope for effciency improvement in the sector. Further, the empirical findings also indicate that publicly owned distribution utilities obtain average technical efficiencies of 71.3%, which is lower than privately owned distribution utilities, which achieve average technical efficiencies of 85.7%.

Power supply quality indicators such as SAIFI, SAIDI, CAIFI, etc. and unobserved heterogeneity also influence the efficiency analysis of electricity distribution utilities. Hence, these parameters as explanatory variables can be incorporated in the future work.

The results obtained from this empirical study would likely be helpful for utility managers and policymakers to know how well they are performing, and how a better corporate strategy a particular utility can formulate to improve its operational efficiency and also its position in the marketplace.

This paper is amongst the first significant attempts that implement SFA approach to the panel dataset over a longer period of time – 2006 to 2013, so, as to evaluate and analyse the operational efficiency of Indian electricity distribution utilities in a single framework after the enactment of Electricity Act (2003). Unlike previous studies, this study investigates the degree to which various exogenous (or environmental) factors influence efficiency levels in these utilities.

The 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.

The 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.

The 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.

This study is focused on companies operating in only the government sector.

Ensuring 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.

This 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.

Resource 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.

The purpose of this paper is to study Knowledge Management (KM) implementation in Indian manufacturing, IT and IT Enabled Services (ITES) and power generation and distribution companies. Various dimensions of KM, namely: process, leadership, culture, technology, and measurement are compared across the three industries to understand the differences in KM practices.

Samples comprised 17 responses from ITES, 32 from manufacturing and eight from power generation and distribution organizations. Convenient sampling scheme was used. The paper reports the findings of the difference in KM practices with respect to the organizations' use of the above mentioned dimensions across the three industries.

The raw mean score of various dimensions for ITES is the highest followed by manufacturing, and power generation and distribution on all except the leadership dimension. However, one way ANOVA results indicate that no significant difference is found for KM process, culture and technology. Statistical difference is found on the remaining two dimensions, namely, leadership and measurement, which are further analysed.

The study includes 17 responses from ITES and eight from power generation and distribution. A larger sample from these two industries may enhance generalizability of results.

Findings of the study can serve as input to companies from the three industries in developing best practices across KM dimensions for improving performance.

While KM has been studied in Indian manufacturing, pharmaceutical and IT industries, its comparison across industries has not been carried out.

The case provides valuable insights on challenges faced by otherwise-protected organisations which are made to face the global onslaught. What happens to an organisation when its own collaborators become competitors overnight? What happens when market leaders refuse to share their technology or dictate their own terms? In addition, this case study looks at the strategy of diversification desired in the business portfolio and the cost of non-diversifications. The case evaluates the environment in which a capital-intensive industry has to operate. It evaluates the combination of all the variables required for undertaking a comprehensive analysis and aims at identifying the best possible level to which the business can be expanded to maximise profits under the known constraints in which the business has to operate.

Target audience is corporate executives, students of MBA/postgraduate programme in management in strategic management and/or workshops for understanding the concept of SWOT (strengths, weaknesses, opportunities and threats) analysis, competitor analysis, Porter's Five Forces Model, Boston Consulting Group (BCG) Matrix, business environment analysis and growth strategies for future.

A combination of global competition and open access in the domestic market is putting pressure on the margins, as new players are likely to move towards gaining market share by bidding aggressively. This is threatening the competitive intensity for Bharat Heavy Electricals Limited (BHEL) in the long-term. Raw materials, such as steel products, that are critical to production process are subject to substantial pricing cyclicality and periodic shortages of supply in India. The margins are thus continuously being impacted by movement in raw material prices, especially steel and copper. How BHEL hopes to sustain its growth story? Whether Chinese competition will kill BHEL? These are some of the pertinent questions the authors will try to answer in this case study.

Use of SWOT analysis to identify the strengths, weaknesses, opportunities and threats to a company and use it as a tool to strategic decision-making. Highlighting the importance of strategic tools such as Porter Model and BCG Matrix within an emerging economy backdrop; to illustrate the alternatives and difficulties/complexities involved in a strategic planning process of growth and cost cutting; and to analyse the financial statements of BHEL.

Analysing public sector undertakings (PSUs)/government companies involved in infrastructure build up/projects of strategic nature in the country, their performance, challenges and efficiency in pre-liberalisation era and post-liberalisation era, and identifying how many are visible today, including the reasons for their growth/decline in generating revenues and profits, has multiple social implications especially for an emerging economy like India. A look at the performance trends of such companies over the past years too would help them in their quest by assisting them to get an idea of business and the industry profile in which BHEL is operating.

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