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The learning outcomes of this study are to gain an understanding of the banking regulations and their impact on banking performance, to understand the intermediation role of banks by channelizing depositors’ savings and providing loans to borrowers, to explain an impact of a recent regulatory change in the Indian banking that directly impacts their financial performance, to critically evaluate the different financial ratios to analyze the performance of a bank and to build a DuPont analysis framework for banks.

The case serves as a primer on banking regulations in India and provides insights into banking performance. Banking regulations play an important role in maintaining financial stability, specifically in emerging economies like India. The protagonist of the case is Salil Kumar who presented his internship project to the review committee of Stock Investment Company on April 16, 2021. However, he had to rework and present his final project within seven days on the basis of the feedback received from the committee. Kumar faced the dilemma of bringing together a comparative study across two banks, namely, Industrial Credit and Investment Corporation of India (ICICI Bank) and State Bank of India (SBI) and building a DuPont framework covering the different aspects of banking performance. The case exemplifies the intricate regulatory landscape in India within which banks operate and highlights the recent alterations introduced by the Reserve Bank of India. For instance, the framework for dealing with domestic systemically important banks (D-SIBs) was introduced in 2014 and subsequently adopted in August 2015. The D-SIB framework provides inherent guarantee to large banks such as ICICI Bank and SBI. This ensures government backup in the event of any failure, thereby securing financial stability. The case study is suitable for banking and financial accounting courses taught in postgraduate management programs. Once the case is studied, the students are expected to understand the basics of banking, regulations, impact of regulations on banking performance and financial measures.

The case provides valuable insights into the intricate dynamics of the banking industry, offering a critical perspective for analysis. A well-structured teaching note would serve as a valuable tool for instructors, allowing them to facilitate engaging classroom discussions and effectively guide students toward achieving the desired teaching objectives.

Teaching notes are available for educators only.

CSS 1: Accounting and Finance.

It was mid-March 2014, and GE's John F. Welch Technology Centre in Bangalore, India was brimming with activity. GE had developed an advanced, scalable positron emission tomography-computed tomography (PET/CT) scanner as part of its global Healthymagination initiative to provide better healthcare for more people at a lower cost. Munesh Makhija, Managing Director, GE India Technology Centre and Chief Technology Officer (CTO), GE South Asia, was thumbing through a report prepared by the PET/CT product development team and GE's healthcare market research team. In another office, Suresh Kumar R.(Kumar), General Manager of the Essential PET Segment, was putting the finishing touches on a presentation outlining a commercialisation strategy for the new PET/CT product, Discovery IQ (Exhibit 1).

Discovery IQ was a revolutionary product that would be useful for staging, treatment planning and post-treatment planning assessment. Early reviews from nuclear physicians had been positive. However, the product was still too costly for the bottom of the pyramid (BoP) market. Kumar and his team were scheduled to meet with Makhija the following morning to discuss a “go-to-market strategy”. Kumar knew that Makhija would want to talk about their segmentation strategy and the underlying needs of various customer types. He also expected Makhija to focus on return on investment (ROI) projections because diagnostic centres in India first looked at various financial return measures before investing in any new equipment. Kumar wanted to present a commercialisation strategy for Discovery IQ, which required a significant commitment of resources to tackle supply and distribution challenges across tier II and tier III cities^a in India.

This study aims to systematically review the literature on how various factors influence investor sentiment and affect financial markets. This study also sought to present an overview of explored contexts and research foci, identifying gaps in the literature and setting an agenda for future research.

The systematic literature investigation yielded 555 journal articles, with few other exceptional inclusions. The data have been extracted from the two databases, i.e. Scopus and Web of Science. For bibliometric analysis, VOSviewer and Biblioshiny by R have been used. The period of investigation is from 1985 to July 2023.

This systematic literature review helped us identify factors influencing investor sentiment and financial markets. This study has broadly classified these factors into two categories: rational and irrational. Rational factors include – economics and monetary policy, exchange rate, interest rates, inflation, government mandatory regulations, earning announcements, stock-split, dividend decisions, audit quality, environmental, social and governance aspects and ratings. Irrational factors include – behavioural and psychological factors, social media and online talk, news and entertainment, geopolitical and war events, calendar anomalies, environmental, natural disasters, religious events and festivals, irrationality caused due to government/supervisory body regulations, and corporate events. Using these factors, this study has developed an investor sentiment model. In addition, this review identified research trends, methodology, data and techniques used by researchers.

This review comprehensively explains how various factors affect investor sentiment and the stock market using the investor sentiment model. It further proposes an extensive future research agenda. This study has implications for stock market participants.

The purpose of this paper is to examine the superiority of comparative evaluation or relative attitudinal measurement approach in which the respondent evaluates one object with direct comparison with other objects. The study uses comparative and non-comparative approaches to examine the effects of service quality, value, and customer satisfaction on attitudinal loyalty in a service setting.

The study uses the data collected from the survey of 300 customers of two large Indian banks.

The results provide partial support to the superiority of the comparative evaluation over non-comparative evaluation. Additionally, results indicate that service quality positively affects customer value, and both service quality and customer value have a direct positive effect on customer satisfaction. Customer satisfaction drives attitudinal loyalty which in turn leads to customers’ willingness to pay more.

In the study, two banks were used for comparative evaluation. Since consumers’ consideration set can consist of more than two alternatives, future studies can include more than two objects.

Non-comparative measurements do not always adequately explain customer loyalty and superior performance of firms. This could potentially lead to misinterpretations of effects of service quality improvement programs and thus sub-optimal management decisions. Managers should use comparative evaluation approach for measuring marketing variables wherever possible.

Although the use of comparative evaluation is suggested in the literature (Dick and Basu, 1994), extant research has not systematically examined its superiority over non-comparative evaluation. This study empirically tests the comparative evaluation approach against the non-comparative approach by examining a comprehensive model involving the interrelationships among service quality, value, customer satisfaction, and their impact on attitudinal loyalty and willingness to pay more.

This study aims to conduct a comprehensive literature review to examine the relationship between corporate governance characteristics and firms’ engagement in environmental, social and governance (ESG) activities. The review focuses specifically on academic papers published in ranked accounting and finance journals.

The analysis combines a structured literature review with citation analysis, topic modeling using a machine learning (ML) approach and a manual review of selected articles published between 2000 and 2021.

This paper contributes to corporate governance and ESG literature by conducting an in-depth review, offering a comprehensive analysis of the existing findings and identifying future research directions. From the reviewed literature, this paper proposes the following thematic areas: board characteristics, ownership structure and their impact on a company’s engagement in ESG activities; CEO characteristics and their influence on a company’s involvement in ESG activities; corporate governance and ESG as sources for transparency and legitimacy; internal and external assurance of a company’s involvement in ESG activities; and gender diversity and a company’s involvement in ESG activities.

The study provides a comprehensive understanding of corporate governance and ESG literature. The innovative combination of methods, including ML and manual techniques, enhances the ability to identify key research topics and uncover research directions in the field. Moving forward, this paper suggests several promising directions for future research, including examining the influence of emerging technologies on ESG reporting and assessing the impact of regulatory changes and context on the link between corporate governance and firms’ involvement in ESG practices.

The case deals with the application of marketing research for launching a new product in the market place. The company was planning to enter the Fast Moving Consumer Goods (FMCG) market in India with its new product Cerenity. Cerenity was a toilet seat sanitizer for women who frequently use public restrooms. The case describes the exploratory study conducted by the research team. The team used different qualitative marketing research tools such as focus groups, in-depth Interviews and participant observations.

This study investigates how the conflict between Russia and Ukraine impacts global inflation.

The study uses monthly consumer price index (CPI) data from 60 countries for 30 months, from January 2020 to June 2022. An event study methodology has been employed to check abnormal variation in the CPI, after classifying country-specific monthly data into nine groups.

The outcome revealed that Russia's full-scale invasion of Ukraine triggered inflation globally. However, the severity of inflation in the sample countries is determined by their geographical proximity and trading activity with the countries in conflict. A significant rise in inflation was observed among major European economies during the invasion. As the war continues, the increase in the price of essential commodities is evident worldwide.

The war literature till now has concentrated on stock markets, energy markets, exchange rates and precious metals. Since no previous research has attempted to quantify the abnormal effect of the war on domestic and global inflation, the current study will shed much-needed light on the subject.

The case deals with marketing research study undertaken to introduce a new product in the market. The company was planning to introduce Cerenity, a toilet seat sanitizer for women who frequently use shared restrooms. The case discusses the conclusive study undertaken involving quantitative marketing research. The research team carried out quantitative survey and collected the data. It applied various quantitative research methods such as factor analysis, multiple regression, cluster analysis and conjoint analysis for analysis the collected and drawing managerial inferences.

This paper aims to investigate the dynamic volatility connectedness among 13 G20 countries by using the volatility indices.

The connectedness approach based on the time-varying parameter vector autoregression model has been used to investigate the linkage. The period of study is from 1 January 2014 to 20 April 2023.

This analysis revealed that volatility connectedness among the countries during COVID-19 and Russia–Ukraine conflict had increased significantly. Furthermore, analysis has indicated that investors had not anticipated the World Health Organization announcement of COVID-19 as a global pandemic. Contrarily, investors had anticipated the Russian invasion of Ukraine, evident in a significant rise in volatility before and after the invasion. In addition, the transmission of volatility is from developed to developing countries. Developed countries are NET volatility transmitters, whereas developing countries are NET volatility receivers. Finally, the ordinary least square regression result suggests that the volatility connectedness index is informative of stock market dynamics.

The connectedness approach has been widely used to estimate the dynamic connectedness among market indices, cryptocurrencies, sectoral indices, enegy commodities and metals. To the best of the authors’ knowledge, none of the previous studies have directly used the volatility indices to measure the volatility connectedness. Hence, this study is the first of its kind that has used volatility indices to measure the volatility connectedness among the countries.