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This paper aims to review, discuss and synthesize the literature focusing on the Indian initial public offering (IPO) market. Understanding the Indian IPO market can help answer broader corporate finance questions. The growing number of IPOs in the Indian context, coupled with the increasing importance of the Indian economy in the global market, makes this review an essential topic.

The systematic literature review methodology was adopted to review 111 papers published between 2002 and 2021. The authors used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses approach during the review process. Additionally, the authors use a bibliometric review methodology to examine the pattern and trend of research in this area of interest. Furthermore, the authors conduct a critical review and synthesis of the top 20 papers based on citations. The authors also use a co-citation network and manual content analysis method to identify key research themes.

This review helps in identifying major themes of research in this area of interest. The authors find that majority of the research has focused on IPO performance whereas post-IPO performance needs critical attention as well. The authors develop a comprehensive framework and future research agenda based on their discussion.

Meta-analysis of the literature can be conducted to gain better insights into the findings of prior studies.

This review paper develops a comprehensive overview on Indian IPO market which can be of interest not only to Indian scholarship. India as an economy is increasingly gaining attention at the global level. Hence, the future research objectives as illustrated in the study can be of interest for the global scholarship also.

To the best of the authors’ knowledge, this is the first comprehensive review paper that examines, synthesizes and outlines the future research agenda on Indian IPO studies. This review can be useful for researchers, business policymakers, finance professionals and anyone else interested in the Indian IPO market.

The case study aims to provide students with an understanding of the challenges businesses face expanding into the home market after having an international presence through exports. It also throws light on operations in an emerging market economy – both rural and urban. The key objectives are to understand the leather footwear business operation in India, understand the challenges of expanding business in India, analyse strategies adopted to sustain and compete in India and identify the possible distribution strategies for the leather footwear business in India.

The case study focuses on Tata International Limited’s (TIL) leather and leather products business in India. The leather and leather products division was present in India since 1973 (Anand, 2020) and exported to more than 35 countries across the world (Anand, 2020). TIL did not want to miss the opportunity available in India and planned to expand its leather footwear business in the country. The company opened retail outlets in major Indian cities and an experience store in Dewas (Madhya Pradesh) in 2019. It aimed for a domestic presence along with the existing export business. However, the biggest challenge that was in front of V. Muthukumaran, head of leather products division at TIL, was how to go ahead with the idea of domestic expansion (Anand, 2020). Should the company expand the market through sister companies (Westside and Tata CliQ) in India? How and in what way should TIL plan for going through Westside and Tata CLiQ? Should Muthukumaran think of either the brick-and-mortar route or the online route or both?

This case study is designed for use in undergraduate and graduate early-stage programmes. This case study is primarily designed for use in Master of Business Administration and/or Bachelor of Business Administration programmes. The case study is ideal for courses on understanding the expansion in the domestic market, strategy, retail and international marketing. The teaching note discusses theoretical frameworks such as external environment analysis and SWOT analysis to devise distribution strategies. The case study mapped the distribution channel and decision alternatives for the company.

Teaching notes are available for educators only.

CSS 8: Marketing.

The present study assesses the commercial bank profit efficiency and its relationship to banking sector competition in a rapidly growing emerging economy, India from 2009 to 2019 using stochastic frontier analysis (SFA).

Lerner indices, conventional and efficiency-adjusted, quantify competition. Two SFA models are employed to calculate alternative profit efficiency (inefficiency) scores: the two-step time-decay approach proposed by Battese and Coelli (1992) and the recently developed single-step pairwise difference estimator (PDE) by Belotti and Ilardi (2018). In the first step of the BC92 framework, profit inefficiency is calculated, and in the second step, Tobit and Fractional Regression Model (FRM) are utilized to evaluate profit inefficiency correlates. PDE concurrently solves the frontier and inefficiency equations using the maximum likelihood process.

The results suggest that foreign banks are less profit efficient than domestic equivalents, supporting the “home-field advantage” hypothesis in India. Further, increasing competition drives bank managers to make riskier lending and investment choices, decreasing bank profit efficiency. However, this effect varies depending on bank ownership and size.

Literature on the competition bank efficiency link is conspicuously scant, with a focus on technical and cost efficiency. Less is known regarding the influence of competition on bank profit efficiency. The article is one of the first to examine commercial bank profit efficiency and its relationship to banking sector competition. Additionally, the study work represents one of the first applications of the FRM presented by Papke and Wooldridge (1996) and the PDE provided by Belotti and Ilardi (2018).

This research study aims to delve into the enduring relationship between housing property prices and economic policy uncertainty across eight major Indian cities.

Using the panel non-linear autoregressive distributed lag model, this study meticulously investigates the asymmetric impact of economic policy uncertainty on apartment and house (unit) prices in India during the period from 2000 to 2022.

The findings of this study indicate that economic policy uncertainty exerts a negative influence on property prices, but noteworthy asymmetry is observed, with positive changes in effect having a more pronounced impact than negative changes. This asymmetrical effect is particularly prominent in the case of unit prices.

This research reveals that long-run price trends are also influenced by factors such as interest rates, building costs and housing loans. Through a comprehensive analysis of these factors and their interplay with property prices, this research paper contributes valuable insights to the understanding of the real estate market dynamics in Indian cities.

The stock market has shown fluctuating degrees of volatility because of the recent COVID-19 pandemic in India. The present research aims to investigate the effect of the COVID-19 on the stock market volatility, and whether the economic package can control the market volatility or not, measured by a set of certain sector-level economic features and factors such as resilience variables.

We examine the correlation matrix, basic volatility model and robustness tests to determine the sector-level economic features and macroeconomic factors helpful in diminishing the volatility rising because of the COVID-19.

The outcomes of this study are significant as policymakers and financial analysts can apply these economic factors to set policy replies to handle the unexpected fluctuation in the stock market in sequence to circumvent any thinkable future financial crisis.

The originality of the paper is to measure the variables affecting the stock market volatility due to COVID-19, and understand the impact of capital market macroeconomic variables and dummy variables to theoretically explain the COVID-19 impact on stock market volatility.

The expected learning outcomes are to understand the complexities involved in the integration of two carriers with different business strategies and approaches, the merger of two brands with distinct personas and identities and the confluence of two different cultures; figure out the strategic options in front of the Tata Group and how it can deal with various macro- and micro-level business challenges, defy the financial hiccups and manoeuvre the operational complexities to accomplish mission Vihaan.AI; and develop a pragmatic approach to macro and micro business environmental scanning for making strategic business decisions.

In November 2022, Tata Group, the salt to software conglomerate, announced the merger of Air India (AI) and Vistara. This would lead to the formation of the full-service airline under the brand name “Air India”. The obvious reason behind this was the higher recognition, salience and recall of the brand AI as compared with Vistara in the global market. The Tata Group envisaged the brand AI to be a significant international aviation player with the heritage, persona and ethos of the brand Vistara in the renewed manifestation of AI. To realise these goals, Tata Group laid down an ambitious plan called “Vihaan.AI”, which was aimed at capturing a domestic market share of 30% by 2027.

This case study can be taught as part of undergraduate- and postgraduate-level management programmes.

Teaching notes are available for educators only.

CSS 11: Strategy.

After completion of the case study, students will be able to understand general and specific challenges associated with carrying on a family business that faces market challenges including stiff competition from existing and newer players, understand the plywood manufacturing process and its supply chain management, understand the businesses operating in an organized versus the unorganized market, comprehend the marketing strategies adopted and identify a reasonable solution to address the challenges associated with the operations of a business.

This case study focuses on Gattani Industries (a plywood manufacturing company) located in the northeastern region of the Indian state of Assam. Headquartered at Cinnamara industrial zone of Jorhat district, Assam, the company began its operation in 1992 under the leadership of Makhan Gattani (Director). Gattani Industries catered to both residential and commercial demand. Its clients included the departments of central and state governments in India, public sector undertakings and civil contractors. The company had a wider distribution network across the country and adopted the one- and two-level marketing channels to reach consumers. It aimed to sell its products through dealers across the cities in India. However, in December 2019, Gattani faced the challenge of developing a growth strategy to overcome competition and use the upcoming market opportunities for business growth in the diverse and complex environment that existed in the country.

This case study is designed for use in graduate or undergraduate programs. This case study can be used in strategy, supply chain and marketing courses at Bachelor of Business Administration and Master of Business Administration levels.

Teaching notes are available for educators only.

CSS11: Strategy.

The purpose of this study is twofold: first, to examine the relationship between foreign ownership and stock return volatility and second, to explore how COVID-19 impacts such a relationship.

This empirical research is based on the non-financial firms of the BSE-100 index over the 2013–2022 period. The ordinary least squares, fixed effects and system GMM (Generalized method of moment) techniques are used to analyze the effect of oversea investors on stock return volatility.

Results indicate an inverse association between foreign ownership and stock return volatility. The outcomes of the pre-and during-COVID-19 period show a negative but insignificant relationship between foreign ownership and stock return volatility. These results reflect foreign investors sold their stocks pessimistically, which badly affected the Indian stock market.

This study enriches the previous literature by exploring the impact of foreign investors on the stock return volatility of Indian firms. To date, no study has captured the impact of foreign ownership on stock return volatility during the COVID-19 pandemic.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-03-2023-0179

The study examines the IPO resilience grounded on the firm’s intrinsic factors.

We examine the association of IPO performance and post-listing firm’s performance with issuers' pre-listing financial and qualitative traits using panel data regression.

IPOs floated in the Indian market from July 2009 to March 31, 2022, evince the notable influence of issuers' pre-IPO fundamentals and legitimacy traits on IPO returns and post-listing earning power. Where the pandemic’s favorable impact is discerned on the post-listing year earning power of the issuer firms, the loss-making issuers appear to be adversely affected by the Covid disruption. Perhaps, the successful listing equipped the issuers with the financial flexibility to combat market challenges vis-à-vis failed issuers deprived of desired IPO proceeds.

High initial returns followed by a declining pattern substantiate the retail investors to be less informed vis-à-vis initial investors, valuers and underwriters, who exit post-listing after profit booking. Investing in the shares of the newly listed ventures post-listing in the secondary market can shield retail investors from the uncertainty losses of being uninformed. The IPO market needs stringent regulations ensuring the verification of the listing valuation, the firm’s credentials and the intent of utilizing IPO proceeds. Healthy development of the IPO market merits reconsidering the listing of ventures with weak fundamentals suspected to withstand the market challenges.

Given the tremendous rise in the new firm venturing into the primary market and the spike in IPOs countering the losses immediately post-opening, the study examines the loss-making and young firms IPOs separately, adding novelty to the study.

This study aims to examine the value relevance of earnings in terms of predicting the value variables such as cash flow, capital investment (CI), dividend and stock return under the Indian institutional settings.

The study used panel Granger causality tests to examine causality relationships among variables and panel data regression models to check the statistical associations between earnings and value variables.

Based on a data set of 7,280 Bombay Stock Exchange-listed firm-years spanning over ten years from March 2009 to March 2018, the results show higher sensitivity of earnings toward cash flows, CI, divided and stock return and vice-versa. Further, the findings deduced from the empirical results demonstrate that earnings are positively related to value variables. Overall, the results established that earnings are value-relevant and have predictive ability to forecast the value variables that facilitate investors in portfolio valuation. The results are consistent with the predictive view of the value relevance of earnings. Several robustness checks confirm these results.

This study brings new empirical evidence from a distinct capital market, India, and provides a new facet to the value relevance debate in terms of its prediction view. The study is among earlier attempts that jointly measure the ability of earnings in forecasting different value variables by taking a uniform sample of firms at the same period. Hence, the study provides a comprehensive view of the predictive ability of reported earnings.