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Data envelopment analysis (DEA) is a non-parametric technique of computing efficiencies of decision-making units using similar set of inputs to give similar set of outputs. The objective is to pick out inefficient units from a data set of similar units and thus analyse their performance amongst their peer group. Stock markets can be considered to be an economy’s barometer. Thus, evaluation of efficiency effectiveness of the companies operating at stock exchange is a valuable exercise. Further, if the inefficient units can be given a benchmark for improvement, they can increase their market value. The purpose of this paper is to evaluate the efficiencies of the Oil, Gas and Power (OGP) sector of India for the companies that form a part of the CNX Energy Index and CNX 500 Index of the National Stock Exchange of India.

A group of 24 units has been included in the study. DEA was applied for ranking the units as per their efficiency levels by computing their technical, pure technical and scale efficiencies (SE). It was observed that only nine units are efficient and the remaining 15 were inefficient. It was observed that ONGC is the most efficient unit and CESC Ltd is the least efficient unit in this group. Also in this group there are ten units that show inefficiency due to their scales of operations. Further, benchmarking for the inefficient units has also been done in terms of inputs/outputs and the targets are suggested. It was observed that some of the Public Sector Companies like NTPC are using more inputs compared to the other units from the same group for achieving the same efficiency.

The present study attempted a limited objective of establishing the technical, pure technical and scale inefficiencies of the companies operating in OGP sector in India and listed on National Stock Exchange with the help of the non-parametric technique of DEA and suggesting how they can strive to improve their performance. It is observed that 37.5 per cent are technically efficient as well as scale efficient, whereas 62.5 per cent are pure technically efficient. There are 42 per cent companies representing approximately half of the output and more than half of the input that have scale inefficiencies characterized by their PTE less than SE. Out of the efficient companies, ONGC appears to be the best whereas Essar Oil has a comparatively lower rank. Out of the inefficient companies, the worst performer is CESC Ltd. However, inspite of being the worst performer, this unit does not have the worst benchmarking targets. The units like Sterlite technologies and KSK energy ventures need to improve their profit by almost 1,000 per cent. These kind of targets are very difficult to attain. Hence these units need to improve their scale of operation. The managers of these units must take up this issue seriously and take measures to improve their productivity. The study also attempted benchmarking where various inefficient units have been suggested targets they need to scale to improve their efficiency. If addressed, they can have micro as well as macro benefits.

In the present paper, the analysis is restricted only to the OGP sector of Indian economy. The study can be further extended to various other sectors of Indian economy such as agriculture, telecommunications etc. This would help in the holistic analysis of the economy. The flag bearer efficient units would set up a benchmark for the improvement to the inefficient units that would help improve the developing economy of India.

An increase in productivity is the most crucial management objective for any industry. Assessing the performance of companies listed and traded in stock market is imperative for investors and financial managers. Researchers have widely studied the performance evaluation of listed companies. Establishing efficiency of stock markets as a whole as well as of the constituent companies has been subject of wide research, but to the understanding no study has been done on evaluating the efficiencies of the OGP sector of India. In the present study the authors have concentrated on companies, out of the universe of energy companies operating in India, which form part of the CNX Energy Index and CNX 500 Index of the National Stock Exchange of India. The reason is that they represent the Indian energy market pretty well.

Investment in non-listed real estate funds (NREFs) in an emerging economy like India has its own challenges that entail a detailed understanding of the risks. The purpose of this paper is to identify the key risk factors across the life cycle of a NREF, based on a considered feedback of various real estate fund management stakeholders. It is important for the investors and fund managers to appreciate these risk factors to make informed investment decisions.

The present study based on the literature survey and discussion with experts identifies 39 risk attributes, which were further summarized using factor analysis into a smaller set of factors impacting NREF returns (risk). The relative importance of each risk attribute was examined and ranked using the relative importance index (RII). Further, cluster analysis using Euclidian distance was used to partition these risk attributes in various segments depending on their importance.

The risk attributes are summarized as five risk factors, i.e. regulatory RISK, foreign direct investment risk, entry risk, business risk and project risk. Whereas the top five perceived risk attributes are investee/partner risk, project entitlement risk, title risk, legislative and regulatory risk and project execution risk.

This study has significance to the industry practitioners and the academic community in developing an understanding of the dynamic nature of risks across the life cycle of the NREFs in India and classifying them at the macro-meso-micro levels.

This paper is one of the first attempts to understand the risks impacting NREFs in India. It will help investors develop a better strategic understanding of the risks across the life cycle of an investment.

This paper aims to compare the mission statements of Indian and Singaporean firms in the healthcare sector, and define the main components of Indian and Singaporean mission statements.

The study was based on a network analytic approach and content analysis. The research was performed on 200 companies (100 Indian companies and 100 Singaporean companies). For each company, we searched for a mission statement published in the company website. Nonnegative Matrix Factorization (NMF) in Python programming language was utilized to obtain the differences in the components of mission statements between Indian and Singaporean firms.

The study results indicate a similarity and variation between Indian and Singaporean mission statements. Both countries are more concerned about patients, service, community, quality, and healthcare in their mission statements, but Indian mission statements emphasize quality, affordable price, and technology more than Singaporean firms. In contrast, Singaporean mission statements tend to highlight innovation and company value. This research will assist strategic managers in identifying the mission statement components and choosing the right strategy for the organization.

This study contributes to the literature and ethos theory by identifying and distinguishing the paramount differences between the Indian and Singaporean mission statement components in the healthcare sector.

The goal of the present study is to examine the degree of knowledge amongst Indian women about millet grain and its nutritional advantages. Millet is regarded to be five times more nutritious than rice and wheat. Despite the fact that millet contributes to 10% of India's food grain basket and has an annual production of 18 million tonnes, it is not consumed in the same proportion as mainstream cereals (that is rice and wheat). As a result, the study's primary objective is to determine the level of awareness and consumption pattern of millet amongst Indian women regarding millet grains.

The research was carried out in the city of Bengaluru in the state of Karnataka, India. For the purpose of study, a sample of 855 female respondents was approached using a non-probability sampling technique known as convenience sampling. The data were gathered through the use of a self-administered structured questionnaire.

According to the findings of the study, the vast majority of respondents consume millet for preserving overall health. Building self and family immunity is the most important factor with 4.11 mean scores and low standard deviation of 0.985. The results reveal that 80.6% of women in the study are aware of millet but only 62.7% of women are consuming millet. The motivating factors and demotivating factors leading to consumption and non-consumption behaviour, respectively have also been identified. The study also reveals that demographic factors such as age, qualification and income have a direct influence on millet consumption.

The scope of research can be extended to explore the impact of millet consumption on long term health benefits of millet amongst the target respondents. Further, the study can be extended to explore the consumption pattern of millet among different target audience in various parts of India. The media interventions in creating awareness of millet consumption benefits need to be studied for increasing the consumption of millet.

Companies involved in producing Fast Moving Consumer Goods (FMCG) products can be encouraged to produce millet based foods like cereals, biscuits, ready to eat foods etc. Workshops can be organized to raise awareness on how the millet can replace traditional grains in the cooking process.

Policy measures may include millet being promoted through technology dissemination, creating awareness about advantages of millet and including millet in the Public Distribution System (PDS). It is also important to promote the cultivation, maintenance and processing of the local variety of millet with competent marketing strategies so as to increase their cultivation comparable to the cash crops. Farmers should be educated on the importance of cultivation of minor millet.

The fast-paced lifestyle of urban Indians has a direct impact on their dietary preferences. The World Health Organization (WHO) recommends that people have a nutritionally balanced diet and engage in regular physical activity to reduce health risks. In India, as a result of women's increased participation in the workforce, women are forced to manage many tasks and obligations, which has detrimental effects on their health. The poor nutritional status of modern-day workers is attributed to a lack of education, lack of awareness and a general disregard for health-related concerns. There is a need to investigate if Indian women are aware of the nutritional benefits of millet grains that are higher in protein.