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This study aims to demonstrate the importance of organizational networks in organizational performance is relatively rich; less understood are processes in organizational networking that entrepreneurs and organizations use in making sense of rapidly changing contexts for organizational performance.

This study conducts an exploratory organizational-level narrative analysis into firms’ experiences in two major emerging markets (EMs), namely, Russia and India – to identify organizational networking processes in the midst of institutional upheavals. The study is based on in-depth case studies of firms in EMs sourced from interview data from senior management and consolidated with secondary data.

The authors find that initially firms rely on informal networks (including blat/svyazi and jaan-pehchaan/jan-pehchan) and later formal (in the form of bureaucratic followed by proprietary) networks to make sense of the changes and uncertainties in turbulent environments. The authors also demonstrate the cyclical nature of strategic sensemaking in the process of developing organizational networks for performance.

The study has a number of theoretical and practical contributions. First, it extends the well-established business networking construct to a more inclusive organizational networking construct. Second, it demonstrates that sensemaking is dependent on interorganizational networking from the outset and throughout the growth of an organization in turbulent markets – from informal to formal bureaucratic and proprietary networks. Finally, this study is unique in documenting the entire process of sensemaking from scanning to performance as well as successfully demonstrating the cyclical nature of sensemaking.

The subprime crisis (SPC) (2007–2008) has severely affected the economies across the globe. The Indian economy was also troubled because the SPC led to a sharp reduction in foreign trade and investment, a rise in the exchange rate volatility and disproportionate foreign-currency reserves. The present paper analyzes the financing pattern of Indian listed companies during the SPC. This study aims to ascertain the impacts of the SPC-2008 on the long-term and short-term financing decisions of Indian listed companies using novel data set and appropriate robust methodology.

The study uses fixed effect model autoregressive of order 1 (FEM AR (1)) and system generalised method of moments (GMM) methodology on a sample data of 1,032 Indian non-financial listed companies on the Bombay Stock Exchange (BSE) for the period 1999 to 2019 to analyze the financing pattern during the crisis.

The study finds that the Indian firms opted for de-leveraging, shortening the maturity of debt and short-term borrowing. This significant decline in the leverage and maturity of debt indicates that the companies in India generally followed the “rat race” model of the financing mix in the crisis. After the crisis, the firms have re-leveraged and expanded the maturity of debt up to 90%. This considerable expansion in leverage and maturity implies that the Indian firms are exposed to the “rollover risk.” This re-leverage risk is asymmetrically distributed for manufacturing and services firms. Manufacturing firms are found to be more exposed to this risk. Furthermore, tangibility, free cash flows and the liquidity available within the firms are the compelling elements of the financing decision during the crisis.

The study has not included the private firms and unorganized sectors in India. Moreover, the study has not analyzed disasters such as the Asian liquidity crisis, the information technology (IT) bubble crisis, the euro bond crisis and coronavirus disease 2019 (COVID-19) pandemic.

The study finds that Indian firms are exposed to higher risk during the financial crisis and this risk is further aggravated by the rollover risk. Therefore, investors and creditors should consider these additional risks in the financial decisions and take more precautions. The study suggests that the regulators should make necessary adjustments in lending policy, corporate restructuring and tax policy to deal with the menace of a financial crisis.

Indian firms should avoid following the rate race financing model.

This study aims to ascertain the impacts of the SPC-2008 on the long-term and short-term financing decisions of Indian listed companies using novel data set and appropriate robust methodology.

After completion of the case study, the students will be able to understand the calculation of cost of individual sources of funds and cost of capital, examine various tools such as economic value added and cash value added analyses which help determining whether a company has added value to its shareholders or not and explore the application of Benford’s law and the Beneish M-score in detecting manipulation of numbers in financial statements.

Nimmy Jacob, a newly recruited research analyst with an equity research firm, was entrusted with tracking the “auto ancillary industry”, specifically “Minda Corporation Ltd” (MIL). MIL was a leading diversified auto components manufacturing companies in India. The company’s share price meteorically rose during February 2021–2022 (Figure 1). The company’s turnover over the past few years had grown at a compounded annual growth rate of 15% during the three preceding years. The company had in the recent past bought a 15% stake in another competitor, Pricol Ltd, for a consideration of INR 400 crores and previously had used joint ventures and acquisitions to scale up its operations. Jacob, apart from the conventional financial analysis, had to ascertain whether all the strategic decisions were adding value to the shareholders’ investments by exploring the various tools available for the same and also calculate the minimum expected rate of return for MIL. Jacob was apprehensive about the financial statements, although the numbers for the company were good. Jacob was skeptical about a high-growth company having the incentive to manipulate its earnings. Manipulations could be in the form of abnormal increase in accruals, inconsistency in expenses and high days of receivables. Therefore, Jacobs used certain analytics/statistical tools to detect any manipulation of numbers in the financial statements of the company and to ascertain apt findings about the company.

This case study is intended for discussion in corporate finance, financial reporting and analysis and financial analytics at Master of Business Administration/undergraduate level.

Teaching notes are available for educators only.

CSS1: Accounting and finance

Industry 4.0 has received significant attention in today's competitive business market, necessitating a restructuring of functional domains in nearly every manufacturing organization. A comprehensive strategy to improve performance in preparation for Industry 4.0 implementation necessitates several steps, one of which is the establishment of performance outcomes (POs). The aim of this paper is to identify and rank the POs realized due to the adoption of Industry 4.0 enablers.

Based on an extensive literature review and inputs received from experts, a comprehensive list of enablers and the POs was prepared and finalized. This paper proposes a framework based on hybrid solution methodology, namely Neutrosophic Analytical Hierarchy Process (N-AHP) and Neutrosophic Combined Compromise Solution (N-CoCoSo), to rank the POs realized due to the adoption of Industry 4.0 enablers. The N-AHP methodology has been adopted to calculate the relative weights of the Industry 4.0 enablers. In comparison, the N-CoCoSo method has been adopted to rank the POs of Industry 4.0.

The proposed framework is applied to an Indian manufacturing organization to test the organization's practical applicability. Additionally, sensitivity analysis is also carried out to check the steadiness of the proposed framework. The findings of this study revealed that “Improved responsiveness to market conditions in today's competitive business environment” is the top-ranked PO of Industry 4.0, followed by “Enhanced competitiveness and better market share”, “Better product quality, through smart management of production process” and “Reduction in manufacturing waste and environmental sustainability” which could be realized due to adoption of its enablers.

This research would aid practitioners by enhancing the practitioners' capacity to understand and prioritize the various POs resulting from implementing Industry 4.0 enablers. Embracing a clear strategic plan will further assist practitioners in improving the efficiency of Industry 4.0 implementation.

Previous literature has only addressed the relationship between Industry 4.0 enablers and POs in a limited way. This paper attempts to compile a comprehensive list of Industry 4.0 enablers relevant to manufacturing organizations in order to fill this knowledge and research gap.

This case study will allow students to understand and analyse the process for conducting equity valuation by building a three-statement financial model, to understand and apply the workings of discounted cash flow (DCF) valuation methodology and its components, to apply the concepts related to the calculation of the weighted average cost of capital in the determination of discounting rate, to understand the terminal value calculation and assumptions thereof and to analyse the intrinsic valuation for the target company using the traditional multi-stage DCF model for investment decision-making.

In July 2019, Kapil Agarwal, an equity analyst operating out of Mumbai, India, was carefully looking over the financials of Asian Paints, a leading paints company in India. As an equity analyst, Kapil was constantly on the lookout for fundamentally strong but undervalued companies that could create long-term wealth for his equity fund. To decide upon the right valuation of Asian Paints, Kapil conducted fundamental analysis using the DCF method on the basis of available financial information. This case study puts students in an investment analyst role wherein they forecast financial statements and conduct DCF valuation for Asian Paints to discover potentially undervalued stocks for investment decision-making.

This case study is designed for use in an undergraduate or postgraduate programme in business management, particularly in a course on business valuation or investment management or security analysis.

Teaching notes are available for educators only.

CSS 1: Accounting and Finance.

This paper aims to investigate the impact of board characteristics on CEO turnover performance relationship (TPR) in Indian listed firms.

A subset of the Standard and Poor’s Bombay Stock Exchange 500 (S&P BSE 500) Index companies was analyzed over the period 2015–2019 using the logistic (fixed-effects) regression model.

It was found that a weak relationship exists between CEO turnover and firm performance. With respect to board characteristics, board size was found to have a significant role in strengthening the TPR. However, other characteristics, such as board independence, multiple directors, board meetings and board gender diversity, played no role in influencing the TPR.

First, the study period is limited to five years, during which several sample firms did not face any CEO turnover event leading to small sample size. Second, this study considers only the board’s gender diversity, whereas other types of diversity are omitted. Third, this study does not differentiate between insider and professional CEOs.

The findings suggest that regulators should focus on the effective enforcement of laws to strengthen the TPR and improve the monitoring role of boards, particularly in emerging economies like India, which face type II agency problems in addition to traditional principal–agent conflict. The results also offer implications for corporations, investors and academic researchers, highlighting areas that need considerable attention pertaining to corporate governance.

This study discerns the impact of several board-related characteristics on the TPR, particularly after the introduction of the new Companies Act 2013 in the emerging economy of India, where it has not been explored extensively.

This paper aims to examine the asymmetric impact of the oil price increase and decrease on stock returns at the firm level.

To ascertain the impact oil price can exert on the stock price at the firm level, this study uses panel structural vector auto regression with various linear and nonlinear measures of oil price shock on a data set, containing 1,168 firms listed in Indian stock markets. This study also considers stock index returns, Fama-French factors and inflation as control variables.

This paper finds evidence that at firm level, net oil price increase and decrease have an asymmetric impact on stock returns. Other oil price shock measures, namely, shock because of oil price increase and decrease, do not show any sign of asymmetric impact on stock returns.

The comparison of firm-level return on its response towards oil price fluctuation can give valuable insights into a firm’s features.

Indian railways (IR) is one of the largest railway networks in the world. As a part of its strategic development initiative, demand forecasting can be one of the indispensable activities, as it may provide basic inputs for planning and control of various activities such as coach production, planning new trains, coach augmentation and quota redistribution. The purpose of this study is to suggest an approach to demand forecasting for IR management.

A case study is carried out, wherein several models i.e. automated autoregressive integrated moving average (auto-ARIMA), trigonometric regressors (TBATS), Holt–Winters additive model, Holt–Winters multiplicative model, simple exponential smoothing and simple moving average methods have been tested. As per requirements of IR management, the adopted research methodology is predominantly discursive, and the passenger reservation patterns over a five-year period covering a most representative train service for the past five years have been employed. The relative error matrix and the Akaike information criterion have been used to compare the performance of various models. The Diebold–Mariano test was conducted to examine the accuracy of models.

The coach production strategy has been proposed on the most suitable auto-ARIMA model. Around 6,000 railway coaches per year have been produced in the past 3 years by IR. As per the coach production plan for the year 2023–2024, a tentative 6551 coaches of various types have been planned for production. The insights gained from this paper may facilitate need-based coach manufacturing and optimum utilization of the inventory.

This study contributes to the literature on rail ticket demand forecasting and adds value to the process of rolling stock management. The proposed model can be a comprehensive decision-making tool to plan for new train services and assess the rolling stock production requirement on any railway system. The analysis may help in making demand predictions for the busy season, and the management can make important decisions about the pricing of services.

The case study has been prepared for management students/business executives to understand electric vehicle (EV) business, business environment, industry competition and strategic planning and strategy implementation.

The size of the Indian passenger vehicle market was valued at US$32.70bn in 2021; it was projected to touch US$54.84bn by 2027 with a Compound Annual Growth Rate (CAGR) of more than 9% during the period 2022–2027. The passenger vehicle industry, a part of the overall automotive industry, was expected to grow at a rapid pace, as the Indian economy was rising at the fastest rate. However, the Government of India (GoI) had put a condition on the growth scenario by mandating that 100% of vehicles produced would be EVs by 2030. Tata Motors (TaMo), a domestic player in the market, had been facing a challenging competitive environment. Although it had been incurring losses, it had successfully ventured into the EV business. TaMo had taken advantage of the first mover by creating an electric mobility business vertical to enable the company to deliver on its aspiration of providing innovative and competitive e-mobility solutions. TaMo leadership had been putting efforts to scale up the electric mobility business, thus, contributing to GoI’s plan for electric mobility. Shailesh Chandra, president of electric mobility business, had a big task in hand. He had to scale up EV production and sales despite insufficient infrastructure for charging and shortages of electronic components for manufacturing.

The case study has been prepared for management students/business executives for strategic management class. It is recommended that the case study is distributed in advance so that the students can prepare well in advance for classroom discussions. Groups will be created to delve into details for a specific question. While one group will make their presentation, the other groups will question the solution provided and give suggestions.

Teaching notes are available for educators only.

CSS 11: Strategy.

It is crucial for the Indian micro, small and medium enterprises (MSMEs) to implement a few of the most important Industry 4.0 (I4.0) technologies and reap maximum benefits of sustainability. This paper aims to prioritize I4.0 technologies that can help achieve the sustainable operations and sustainable industrial marketing performance of Indian manufacturing MSMEs.

I4.0-based sustainability model was developed. The model was analyzed using data collected from MSMEs by deploying analytic hierarchy process and utility-function-based goal programming. To have a better understanding, interviews were conducted.

Predictive analytics, machine learning and real-time computing were found to be the most important I4.0 technologies for sustainable performance. Sensitivity analysis further confirmed the robustness of the results. Business-to-business sustainable marketing is prioritized as per the sustainability need of operations of industrial MSME buyers.

This study uniquely integrates literature and practitioners’ insights to explore I4.0’s role in MSMEs sustainability in emerging economies. It fills a research gap by aligning sustainability goals of industrial buyers with suppliers’ marketing strategies. Additionally, it offers practical recommendations for implementing technologies in MSMEs, contributing to both academia and industry practices.