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The purpose of this paper is to ascertain the performance of Indian hospitals in recent past and derive meaningful insights for policy makers and practicing managers in this area.

This paper analyses the technical efficiency of select Indian private hospitals using three related methodologies: data envelopment analysis (DEA), Malmquist Productivity Index (MPI) and Tobit regression. Two output variables (i.e. total income and profit after tax) and four input variables (i.e. cost of labour, net fixed assets, current assets and other operating expenses) were selected for the purpose of the study.

DEA analysis has shown that 14 out of 37 hospitals are found to be efficient under the Cooper and Rhodes model of DEA and 20 out of 37 hospitals are efficient under the Banker, Charles and Cooper model of DEA. The empirical results pertaining to MPI indicate an overall productivity progress in the private Indian hospital industry during the study period, which is largely due to technological advancement in the industry. Tobit regression demonstrates that chain affiliated, specialized and multi-city located hospitals exhibit a higher technical efficiency.

This study has a limitation with reference to the unavailability of data on the input and output parameters of the model. The data related to the number of beds, number of doctors, number of nurses, etc., were not available for the period under consideration.

This study seems to be one of the few studies applying productivity and performance analysis using DEA, MPI and Tobit regression for the Indian private hospital industry.

The purpose of this study is to determine the impact of environment, social and governance (ESG) disclosure on credit ratings of companies in India.

Firms under study are listed on the Bombay Stock Exchange (BSE) 500 and represent almost 93 per cent of the total market capitalization on BSE. This study considers a sample of 122 firms from a population of 500 to examine the relationship between ESG scores and Credit Rating. The scope of this study is confined to those firms listed on the S&P BSE 500 which have made ESG disclosures and were rated by various credit rating agencies like Crisil, ICRA and CARE. Data were sourced from Bloomberg. Ratings were given in ascending order. In the first model, credit rating was used as predicted variable; ESG score as predictor variable and market capitalization, net debt to equity, and total debt to asset as control considering the ordered nature of dependent variable in the study, ordered logistic regression was applied. It was repeated taking individual scores on environment rating, social rating and governance rating as predictors. The authors further segregated the 122 selected firms into large, medium and low capital firms and assessed separate logistic regression models taking credit rating as the predicted variable and overall ESG score as the predictor.

It was found that overall ESG performance and performance of individual components (environment, social and financial variables such as market capitalization, and debt to equity ratio) had significant positive indicators of creditworthiness as measured through credit rating. Governance score had a positive and insignificant relation with credit rating. Market capitalization was observed to have significant direct relationship with credit worthiness. On the other hand, number of independent directors in companies showed significant inverse relationship with creditworthiness. ESG significantly impacted credit rating in the desired direction only for small- and middle-level firms; for large firms which already had higher credit rating, ESG showed no effect. It was also found that credit rating itself determined significantly the extent of overall ESG reporting and disclosure of its components.

This is unique study that covers the aspects of ESG reports and its impact on credit rating.

This study attempts to critically assess one of the financial inclusion policy “Pradhan Mantri Jan Dhan Yojna” introduced by the government of India in 2014.

Number of bank accounts opened (rural, urban and overall) under the policy, total balance in such account and total number of debit cards issued till October, 2017 were taken as the criterion variables. The macroeconomic indicators, infrastructure, literacy, regional dummy and percentage labour participation were taken as predictors. Finally, a State index for financial inclusion under the policy was developed through Normalized Inverse Euclidean Distance using per capita number of accounts, total balance and number of debit cards issued as the parameters.

Andaman and Nicobar, Puducherry and Chandigarh came out to be the top three State indexes for Financial Inclusion under the policy. Status of infrastructure (such as number of roads) was found to be the most significant determining factor. Other factors were labour force participation, poverty and regional disparity.

This paper is unique in the sense that financial inclusion policy has been assessed both through its reachability and assessment of its predictors.

The learning outcomes are as follows: to be able to evaluate early warning signs/red flags through financial statement analysis; to be able to analyse company’s credit or debt servicing using a thorough process of fundamental analysis; to be able to analyse and decode the financial health of an organization through different financial tools applicable according to the industry such as default probability and financial ratios; and to be able to synthesize credit rating framework and role of credit rating agencies in the bond market.

In late January 2019, the allegation by an online investigative portal about the misuse of the Dewan Housing Finance Corporation Ltd. (DHFL) money by its promoter for buying asset abroad was the start of the fall of the non-banking finance company giant. This was followed by a series of downgrade by credit rating agencies on its debt and eventual default on its interest payment on 4 June 2019 which upset multiple portfolio investors and the regulators. Investors became sceptical about the regulator’s policy and inefficiencies of credit rating agencies in predicting the default along with asset management houses which were expected to guard investors’ interest. One investor, Shikhar Pachori, decided to scrutinize all hidden information on DHFL to investigate if DHFL crisis arises because of unknown factors which was not in control of management or if it a clear negligence on the part of all involved parties. The case tries to emphasize the aspect of Asset-Liability Management and process of credit analysis while looking for red flags which aids in identifying any stress in company’s financial or any potential default by company.

This case can be used in the advance level of post-graduate finance course or MBA program for elective/specialization courses such as Financial Statement Analysis, Financial Institutions and Market and Fixed Income.

Teaching notes are available for educators only.

CSS 1: Accounting and Finance

This study aims to explore the patterns of corporate social responsibility (CSR) practices and investments across different ownership groups and relevance of CSR practices in the vision and mission (V&M) statements of firms.

The paper uses the neo-institutional theory approach, which explains similarities and differences in the CSR practices of organisations embedded within (and between) similar sectoral contexts. The study accounts the CSR activities of the top 100 companies listed on the Bombay Stock exchange (BSE) based on their ownership and checks the overlap of the CSR activities conducted by the companies with the ongoing social development schemes launched in India during the same of time. The time period between 2017 and 2020 is chosen to analyse the CSR studies. The study uses content analysis technique to derive conclusions. A textual analysis of top 100 listed firms across all ownership groups aimed at understanding patterns of CSR practices opted by the different groups and coherence of CSR patterns in the V&M statements. CSR related keywords were analysed in the V&M statements to understand what influence reporting of CSR practices in the strategic communication of firms.

Overall analysis indicated that top 100 firms prefer to invest in the areas of “Education”, “Sustainability” “Skill” where public-owned firms preferred towards “Sanitation” and “Environment/Sustainability” showing concurrence with local development goals. Private and foreign groups preferred to park their CSR funds in “Education” and “Skill” development showing coherence with the global agendas. Public-owned firms tend to report more CSR related specifically “Environment’ and “Sustainability” in the strategic documents. However, private and foreign firms do not pay any significance to CSR related keywords in their V&M statements.

Findings suggest that despite of huge CSR investments, private and foreign-owned firms lack CSR focus and communication in their V&M statements, which may create disintegration in the CSR investment and strategic alignment of near-term and future goals. The paper suggests that private and foreign firms should also communicate their CSR practices through their V&M to stakeholders so that CSR practices may not remain mere 2% mandated expenditure by the Government of India.

The study contributes in confirming the success of the CSR policy mandate in supplementing government’s social development programmes along with indications on the role of family firms in accelerating the process of community development as compared to foreign firms. The study also favours integration of CSR disclosures in the V&M statements to gain long-term benefit out of these investments.

Fixed Income markets, Financial Markets and Institutions.

This case can be used in a postgraduate finance course such as an MBA and executive program for courses such as Fixed Income Markets and Financial Markets and Institutions.

In late August 2015, the sudden downgrade and eventual default of Amtek AUTO Ltd (Amtek) on its debentures upset mutual fund investors and regulators. Questions were raised about the credit rating agencies and their lack of timely action as well as about the independent credit analysis followed by fund houses to protect the interests of investors. One such investor, Suresh Nair, decided to gather all possible available information on Amtek to determine whether it was sheer negligence on the part of all parties involved or if Amtek was in fact in a situation of sudden distress. The case seeks to highlight the credit analysis process, while looking out for red flags to identify potential default or financial stress in a company.

To understand the credit analysis process through a fundamental analysis process. To analyze and interpret the financial position of the company through various financial ratios. Identifying “red flags” while evaluating a potential credit that pose as “risks” to credit assessment. Understanding the role and relevance of credit rating agencies in the bond market.

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CSS 1: Accounting and Finance

This paper aims to analyse how the top over-the-top (OTT) platform is becoming a preferred source of entertainment amongst young consumers over traditional Pay TV service (Cable TV/DTH) in India and what factors play a vital role in such preferences along with gamification of content. The study follows the theoretical framework of use and gratifications theory and Niche analysis.

The study establishes a conceptual framework of understanding the preference of consumers, which triggers the shift from old media to new. This research develops an approach to understanding the relevant implications in responses of consumers through a structured online survey conducted amongst different age groups by applying exploratory and confirmatory factor analysis. To further comprehend the relations between measured variables and constructs, the statistical technique is incorporated, i.e. logistic regression.

Empirical results and discussion insinuated the five factors which affect consumers’ choices concerning entertainment i.e. content and viewing behaviour, expenses incurred on services, shifts influenced by offerings/incentives, convenience and telecom. Logistic regression validated the strength of these factors which made content and viewing behaviour, expenses incurred on services and convenience the three most important factors.

This study analyses the driving factors that are revolutionising the entertainment industry and can be applied in designing a comfortable and engaging experience for a consumer in the future.

This research is original in nature and the findings of this study are valuable for online streaming services, video-on-demand services, Cable TV operators and entertainment content producers.

This paper aims to examine the interplay between risk, capital and efficiency of Indian banks and study how their relationship differs across different ownership types.

Panel regression techniques are used to analyze a large data set of all Indian scheduled commercial banks operating during the period 2008-2016.

The results show that lower efficiency is associated with higher credit risk in the case of public sector and old private sector banks (”bad management hypothesis”). However, higher efficiency leads to higher credit risk in the case of foreign banks (“cost skimping hypothesis”). The authors further find that the more efficient institutions among public sector hold more capital. Finally, they find that the better-capitalized banks among those in the public sector have lower risks on their balance sheets (“moral hazard hypothesis”).

There is a paucity of papers on the interplay between risk, capital and efficiency of banks in emerging economies. This paper is the first to study the inter-relationship between risk, capital and efficiency of Indian banks across ownership groups using a number of different measures of risk.

The study aims to identify the impact of board characteristics (BC) on a firm's environmental performance, and provides future research directions in the area of BC impact on environmental disclosures (ED) in case of India's environmentally sensitive and non-sensitive industries (SI and NSI).

The authors collect firm-level data from Prowess and Bloomberg, which cover 1,158 firm-year observations from National Stock Exchange of India (NSE) 500 listed companies from 2015 to 2020, and use a dynamic panel regression analysis to get deeper insights on the relationship of ED and BC.

The study found that lagged environment disclosure score is positively and significantly associated with current environmental disclosure scores. The presence of sustainability committee, board size and frequency of meetings has a positive and significant association with ED for sensitive as well as non-sensitive industry groups. Factors such as board Independence, board gender diversity and CEO duality have no significant impact on ED of both sensitive and non-sensitive industry groups.

Based on agency theory and stakeholder theory authors study for the first time in the context of India the effect of BC on ED using a large sample and covering an extensive period of six years. This study contributes by offering deep insights about the impact in case of “environmentally sensitive, non-sensitive and also all industries case”. The findings of this study are valuable for corporate managers and regulators who are interested in improving ED practices through a better-governed corporate mechanism.

This study aims to understand the consumer behavior in the context of online food delivery services that has become crucial for all the players in the market to meet their bottom line, especially given the fact that COVID-19 has altered the mindset of consumers. The current perception was addressed and analyzed to understand the trends. So, this study examined various parameters such as e-services quality, food quality (FQ), safety measures (SM), customer satisfaction (CS) and customer loyalty (CL) in correlation to each other.

An online survey was conducted for users of the online food delivery services to understand the intentions during the month of June 2020. The total number of responses gathered were 201. The responses collected were analyzed based on the constructs formed for the following tests: reliability, convergent and discriminant analysis. Also, principal component analysis was performed to ensure that the variables are correlated to each other. This ensured that the structural equation model built is valid and of best fit. The hypotheses were tested for the discussed variables, and the results were presented accordingly.

The research has indicated that FQ plays a vital role for CS which indirectly influences CL. Also, the SM adopted by a restaurant and delivery service will help retain their customer base, thus ensuring loyalty.

The study will help managers of restaurants and online food platforms reorient their business model and framework according to the parameters that affect the mindset of the consumer and also help improve the retention of their customer base.

This study is original in nature and takes onto account the COVID-19 situation. The study provides insights for online food platforms to touch mainly the pain points and insights by the consumer which will aid in developing new strategies for business development and customer retention in the future.