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In this paper, the authors aim to investigate the return, volatility and correlation spillover effects between the crude oil market and the various Indian industrial sectors (automobile, financial, service, energy, metal and mining, and commodities sectors) in order to investigate optimal portfolio construction and to estimate risk minimizing hedge ratios.

The authors compare bivariate generalized autoregressive conditional heteroskedasticity models (diagonal, constant conditional correlation and dynamic conditional correlation) with the vector autoregressive model as a conditional mean equation and the vector autoregressive moving average generalized autoregressive conditional heteroskedasticity model as a conditional variance equation with the error terms following the Student's t distribution so as to identify the model that would be appropriate for optimal portfolio construction and to estimate risk minimizing hedge ratios.

The authors’ results indicate that the dynamic conditional correlation bivariate generalized autoregressive conditional heteroskedasticity model is better able to capture time‐dynamics in comparison to other models, based on which the authors find evidence of return and volatility spillover effects from the crude oil market to the Indian industrial sectors. In addition, the authors find that the conditional correlations between the crude oil market and the Indian industrial sectors change dynamically over time and that they reach their highest values during the period of the global financial crisis (2008‐2009). The authors also estimate risk minimizing hedge ratios and oil‐stock optimal portfolio holdings.

This paper has empirical originality in investigating the return, volatility and correlation spillover effects from the crude oil market to the various Indian industrial sectors using BVGARCH models with the error terms assumed to follow the Student's t distribution.

Environmental friendliness, in context of industrial operations, is an issue that has evoked much interest among environmentalists, governments, academicians and other sections of society in recent times. The said development has been more profound and broad-based in developed economies of the world, though, the trend is catching fast in developing countries, as well. Green Supply Chain Management (GSCM) is a management technique that aims to make a supply chain eco-friendly, without diluting the organizational objectives. The purpose of this paper is to investigate the scale of adoption and implementation of GSCM practices in the context of Indian industries.

The investigation used literature review approach to determine the current status of implementation of GSCM by Indian industry, and associated aspects of the same. Literature pertaining to the subject in context of non-Indian industries has also been studied for the purpose of rudimentary knowledge on the management concept, as well for comparing the measures taken by foreign-based companies with Indian ones.

The study shows that in general, Indian companies are lacking on the front of adoption and implementation of GSCM measures in their supply chains. Though, certain companies are showing appreciable enthusiasm for the eco-friendly concept, the same does not apply to majority of the Indian enterprises, owing to a multitude of factors. GSCM has the potential to drive economic gains, and can act as a big motivator for companies to go green. As India leaps towards higher levels of industrialization and economic growth, GSCM becomes more of a necessity rather than an option for Indian companies to survive the competition.

Findings from this study helps in discerning the present status of GSCM in the country, and assess the same in comparison to that of developed countries. The findings will also help the firms to have a greater understanding of their current standing and the possible gains that can accrue by adoption of GSCM practices in real. The philosophy, stance and endeavours of government with respect to GSCM has also been spelt out in the paper. The paper contributes to the literature by providing empirical evidence on various aspects of GSCM in the country and the trajectory that it will chart in future.

The paper though, brings forth the findings of other researches on the subject of GSCM practices in India in a consolidated manner, yet its value is reflected in the cohesive manner in which contrary findings have been analysed to present a comprehensive and holistic picture of GSCM implementation in India. An attempt has been made not only to assess the inputs of individual firms, but also of government and other stakeholders in their efforts to make supply chains more environment friendly.

Recalling that the introductory chapter (Chapter 1) wanted to carry out similar types of analysis for the major states in India. Thus, the present chapter tries to examine the trends of a bank branch, deposit, credit, the credit–deposit ratio, sectoral shares of credit, magnitudes of banking transactions, credit concentration, etc., for the selected 15 states and Delhi as the only union territory for the period 1972–2019. The study period covers the pre-reform period from 1972 to 1992 and the post-reform period 1993–2019. The observations show that the branch, deposit and credit did not grow significantly during the post-reform period. As a result, the credit–deposit ratio did not increase significantly during the reform period. But, the magnitude of banking transactions increased in most of the states during the reform period. Regarding the sector-wise share of credit, AP, Maharashtra, UP and TN are the leading states in agricultural credit, WB, Gujarat and Maharashtra are in industrial credit and Kerala, Assam and Delhi are in the service sector. On the other hand, the study finds rising magnitudes credit concentrations of the states during the post-reform period in contrast to the declining concentration in the pre-reform period. Maharashtra is the state which holds around 25 per cent of all states’ credit throughout the entire period of 1972–2019. Hence, there are the notions of rising disparity and inequality in credit as well as incomes of the states and all India levels.

This paper aims to uncover the significance of capacity, capacity utilization (CU) and its role in the quality and productivity improvement in an industrial environment. Besides, the current study is also aiming to explore the various ways to estimate CU and its status across the world.

In the present study, a comprehensive literature review on capacity and CU is carried out to expose the research direction in the field of CU. This work is primarily focused on capacity, CU and their estimation methods based on the research in various industries of different countries and current status in present scenario across the world.

The literature reveals that CU estimation is carried out by some government/central agencies at the national or sector level rather than the industry level in most of the productive nations. As far as industrial growth is concerned, capacity management should be carried out at a particular industry level so that engineering managers can be able to find out loopholes for huge capacity waste within the plant. It is observed that CU in the industrial sectors mainly computed by time series method, survey method, economic approach and engineering approach worldwide.

This paper tries to cover almost all research work in the field of CU in various industrial sectors. However, the organizations which are producing the product with limited demand may get benefit inadequately.

This paper provides a vision to management toward productivity improvement through optimal utilization of available resources. As in most organizations, CU issues are much neglected areas.

This paper provides valuable insights on capacity and CU in the industrial sector across the world. Besides, it focused on comprehensive literature of capacity and various methods to estimate CU in industrial sectors.

The purpose of this paper is investigate the dynamic linkages among industrial energy use, industrial value added, financial development (FD) and trade openness, in case of India. The study covers the annual frequency data on both aggregate and disaggregate variables for the period 1971–2016.

The autoregressive distributed lag bounds testing approach is applied to examine the long-run relation among variables under consideration. Also, Johansen and Juselius (1990) and vector error-correction mechanism results confirm the result of cointegration. Furthermore, non-linear relationship in the model is also tested.

It has been found that there exists long-run relationship among variables. Long-run estimates show that increasing FD leads to more energy uses. Hence, FD should be directed in such a way that it incentivises firms to invest in energy-efficient technology. Furthermore, it is also found that study supports the evidence of conservative hypothesis, which supports that the energy conservation policy should be adopted in the industrial sector. Energy efficiency programme needs to be designed very carefully to achieve a higher level of energy efficiency. This leads to a sustainable growth and low carbon emission.

This paper examines the recent trend in Indian industrial energy consumption and does a comprehensive analysis using a robust econometric method. We have developed a lucid model to examine the deriving factors of industrial energy consumption.

The purpose of this research is to measure Organizational Learning Capability (OLC) perception in the managers of public, private and multinational organizations and establish the link between OLC and firm performance. Design/methodology/approach – The data were collected from a sample of 612 managers randomly drawn from Indian industry, using a questionnaire survey. Findings – Organizational capability perception for the managers of the IT sector and of multinational firms was the highest, while it was lowest for the engineering sector. Mixed results were found for the market indicators of firm performance, i.e. firm's financial turnover and firm's profit as predictors of OLC in Indian organizations, where financial turnover was predicting organizational learning capability. Research limitations/implications – The research paper does not test the possibility of firm performance affecting OLC, which may be true, and the author acknowledges it as a limitation of the research study. Future studies may investigate this further. Originality/value – The managers felt that the processes for encouragement of experimentation and environmental scanning needed more attention in Indian industry. The variable of sensitivity to people and their potential provides implications for a rigorous talent management strategy. If adequate attention is paid to this dimension, then it can lead to gaining of competitive advantage, through retention and development of key talent.

Sustainable production (SP) is an efficient and influential approach of production for Indian manufacturing industries as it preserves the social, environmental and economic aspects of production activities altogether. The objective of this research work is to investigate the implementation status of SP practices in Indian manufacturing industries by utilizing empirical survey methodology.

A questionnaire survey methodology was adapted, and the questionnaire was prepared by intense literature survey along with by opinions from experts in the field of SP. This questionnaire was sent to 753 different organizations at different locations across India. This study collected responses from manufacturing industries as per 2021 directory of Confederation of Indian Industries for the duration of 7 week. Top level managers were the target respondents. The study propagated with 242 responses which were observed complete in all respects.

The study identified that though the majority of the organizations are claiming to follow SP practices since long time, they actually are lagging in proper understanding SP practices. Majority of them are implementing it in specific departments in their organization. They are coming across multiple barriers in the implementation of SP practices among which unrecognized financial benefits and lack of proper government policies are prime. The study suggests that the Indian organizations needs feasible framework with adaptable guidelines.

This work is centered towards manufacturing organizations and targets only the leading industrial sectors in India. Thus, the outcomes of this study may not be generalized for all the sectors of Indian industries. Additionally, it can also be assumed that higher number of responses would have contributed to more clear visualization of implementation status of SP practices among Indian industries.

Sustainable approaches in production activities are very lucrative for industries worldwide, due to their advantages. Numerous researchers are also putting their efforts to explore more about various aspects of sustainability. Mostly they are focusing on single or few aspects of SP and its implementation in particular region or country. Very few research works are dedicated to knowing the implementation status of SP in Indian manufacturing industries and they are limited in various aspects. This study presents a dedicated approach to investigate the implementation status of SP practices in Indian manufacturing industries.

State‐owned enterprises (SOEs), in general, have not been successful. Their indifferent performance has been at the center of the debate about the role of the state in the economy. To economists, the performance of SOEs is evidence of what is wrong with state intervention. And in recent years privatization has increasingly been regarded as the only way of improving the performance of SOEs. Yet, while unsuccessful SOEs abound, a few high‐performing SOEs such as POSCO (South Korea), Airbus Industrie (France), EMBRAER (Brazil), and MUL (India) can also be found.

The origins of corporate social responsibility (CSR) have been widely attributed to the work of scholars, and business managers as well, in North America and Western Europe. Inevitably, however, as the economic interaction of individual firms and entire nations has grown over the past several decades — call it globalization — so too has the concept and the practice of CSR spread throughout the world. It is certainly time to explore how CSR is being incorporated into the practice of business management in other regions and other countries. Therefore, in this chapter we will focus on Asia: specifically on Japan, South Korea, India, and China. It is interesting for academicians to understand how CSR is being absorbed and adapted into the business cultures of these four countries. Perhaps of even greater importance, it is vital that business managers know what to expect about the interaction between business and society as well as the government as their commercial activities grow in this burgeoning part of the world.

For each of these four countries, we will provide an overview of the extent to which CSR has become a part of the academic community and also how it is being practiced and incorporated in everyday management affairs. We will see that there are very significant differences among these countries which lead to the natural question: why? To answer this question, we will use an eight-part analytical framework developed specifically for this purpose. We will look at the history, the dominant religious beliefs, the relevant social customs, the geography, the political structures, the level of economic development, civil society institutions, and the “safety net” of each country. As a result of this analysis, we believe, academicians can learn how CSR is absorbed and spread into commercial affairs, and managers can profit from learning more about what to expect when doing business in this increasingly important region.

The purpose of this paper is to generate awareness of contributions made by benchmarking toward building performance of Indian service industries in globally market. Ranking of Benchmarking is done on the basis of their application which give confidence for the managers to adopt in their Industries so that they may become best in their field.

Methodology consists of three phase: define, phase include definitions, factors of benchmarking as literature outcomes, questionnaire survey and outcome of survey. In the second phase, analysis of collected data and applications of multi-criteria decision-making approaches [technique for order preference by similarity to ideal solution (TOPSIS) and analytical network process (ANP)] are used. The last phase includes comparison of results which gives validation in similarities of ranking obtained.

The study identifies seven different benchmarking techniques used for service industries. Using TOPSIS and ANP approaches shows similarity that external benchmarking, performance benchmarking and internal benchmarking are the first three ranks that give basis for several critical success factors s, namely, planning, reliability, standardization, time behavior, usability, etc., as part of benchmarking using in service industries.

The limitation is the assumptions made by multi-criteria decision-making approaches which may effect the analysis of the study as these are taken theoretically.

This study is a first attempt to find similarities in both techniques while comparing benchmarking in Indian service industries.