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Introduction: Historically, the corporate governance (CG) framework was designed primarily to safeguard the economic interests of shareholders, as a result of political and legal interventions, developing into an effective instrument for stakeholders and society in general.

Purpose: The core objectives of the study include: identifying journals/publications responsible for publishing CG studies in India, key CG issues covered by CG researchers, the amount of high-impact CG literature across different time periods, sectors/industries covered by CG researchers and different research instruments (quantitative or qualitative) used in CG studies in India.

Design/methodology: The chapter used a sample of 130 corporate governance studies that fulfil the selection criteria, drawn from the repository of over 100 reputed journals that are either recognised by the Australian Business Deans Council (ABDC) or indexed by SCOPUS. A systematic literature review has been carried out pertaining to CG issues in India, based on various statistical tools, data, industries, research outlets & citations, etc.

Findings: The results show an overwhelming number of studies have assessed the relationship between CG variables and firm performance, which could be measured through a variety of performance metrics such as ROA and ROI. Apart from empirical analysis, many conceptual studies use repetitive basic statistical tools like descriptive statistics or regression analysis. The chapter offers insights into current achievements and future development.

Originality/value: This bibliometric study is a useful guide for policymakers, corporate leaders, research organisations and management faculty to draw insights from work produced by eminent researchers in GC in India.

This case should facilitate participants to analyze the influence of internal and external factors on a growing company in the dairy, agro and food industries; analyze the drivers of a company’s competitive advantage; evaluate the relevance of the company in the new product-markets; and propose growth strategies for the expansion of the business beyond the core markets.

Gyan Dairy began its journey in 2007 and operated in the business-to-business segment by supplying skimmed milk powder and white butter to other dairy players. Then, the company launched its packaged milk brand in Lucknow – the capital city of Uttar Pradesh – one of the largest provinces in India. By the end of 2020, Gyan was the leading private dairy brand in Uttar Pradesh. The company’s vision was to become one of the top dairy brands in India by 2035. While deliberating on the growth choice, the company’s senior management debated whether to strengthen the company’s position in the existing markets or expand operations in adjacent locations. Increasing market share would have led to price wars or advertising costs. Diversifying into product categories involved the risk of product–market misfit and new product development and marketing costs. However, pursuing these options would further strengthen the company’s position in the North Indian market. Expanding into new locations would help establish the company’s presence across different parts of India. However, both these options were replete with various challenges. Expanding into new markets needed one of the promoters of the Gyan Diary, to relocate, build new markets and institutional connections and build a completely new localized economy of scale, which would create a financial burden on existing operations until the new operation was self-sustainable. However, in this journey, they would find and build a model to help expand their operations in other countries as well. Ideally, the company could pursue all the options, but this was not possible due to constrained resources.

This case allows students to discuss and evaluate alternate growth options associated with operationalizing the growth strategy choices in perishable branded food categories beyond existing markets and products. In addition, it also helps discuss how to arrive at such decisions after analyzing the focal firm’s market opportunities and existing capabilities. This case is helpful for the “growth strategy” module in the strategic management core course in a general MBA program and in specialized MBA programs in food and agri-business management.

This case is suitable for graduate-level courses on strategic management courses in general management programs and agri-business management programs. In a strategic management course, the case will help cover topics such as analysis of the internal and external environment of the firm and growth and expansion strategies. This case will help teach how to build competitive advantage in dairy and agro-food industries and the strategic analysis needed while pursuing growth decisions. Emerging markets, including India, are the growth markets for leading multinational companies in the food and dairy industries.

Teaching notes are available for educators only.

CSS 11: Strategy.

Introduction: The effect of environmental regulations or green policies on the financial health of businesses is still up for debate. The Prime Minister of India presented a bold plan to achieve net-zero emissions by 2070 at the COP26 climate summit in Glasgow (UK). Following this announcement, numerous Indian companies voluntarily committed to becoming carbon neutral to support the ambitious emission reduction targets. A growing body of research examines the link between environmental standards compliance and businesses’ sustainability measures, and how they affect their overall performance (profitability, stock returns, or output generation).

Purpose: The research assesses the effect of these voluntary announcements on the stock performance of Indian companies in the context of voluntary commitments to reduce carbon emissions.

Methodology: Concentrating on the announcement impact of carbon neutrality commitments/carbon emissions reductions of 52 Indian companies, the study considers carbon neutrality pledges/carbon emissions reduction from 2018 to 2022. The sample companies list was taken from various indices on the National Stock Exchange. A standard event study methodology is applied to compute abnormal returns during the event window of (−10, 10).

Findings: The results show that companies announcing the carbon neutrality pledges/carbon emissions reduction received significantly negative abnormal returns of 0.49% on announcement day. The cumulative average abnormal returns for different windows are also negative. It signifies that investors don’t value the environmentally sustainable actions of firms. It may also be because of investors’ ignorance of carbon neutrality pledges and their importance, highlighting the need to educate investors about the significance of corporate sustainability initiatives.

The purpose of this paper is to explore the challenges faced by the automatic recognition systems over the conventional systems by implementing a novel approach for detecting and recognizing the vehicle license plates in order to increase the security of the vehicles. This will also increase the societal discipline among vehicle users.

From a methodological point of view, the proposed system works in three phases which includes the pre-processing of the input image from the database, applying segmentation to the processed image, and finally extracting and recognizing the image of the license plate.

The proposed paper provides an analysis that demonstrates the correctness of the algorithm to correctly capture the license plate using performance metrics such as detection rate and false positive rate. The obtained results demonstrate that the proposed algorithm detects vehicle license plates and provides detection rate of 93.34 percent with false positive rate of 6.65 percent.

The proposed license plate detection system eliminates the need of manually used systems for managing the traffic by installing the toll-booths on freeways and bridges. The design implemented in this paper attempts to capture the license plate by using three phase detection process that helps to increase the level of security and contribute in making a sustainable city.

This paper presents a distinctive approach to detect the license plate of the vehicles using the various image processing techniques such as dilation, grey-scale conversion, edge processing, etc. and finding the region of interest of the segmented image to capture the license plate of the vehicles.

The purpose of this paper is to highlight the pain and suffering of elderly age people during the COVID-19 lockdown. It was an unpleasant experience for old age people.

In this paper, primarily, the information has been collected through interviews and observation. The researchers interviewed the older people and discussed their experience during the lockdown, and they also observed their activities during that period.

The main results of this paper suggested that lockdown appeared as double-edge sword for old age and elderly people. They are not allowed to go outside to safeguard their lives, and inside the home, they are facing issues of anxiety, fear and mental trauma. They are not able to complete their daily routine, and it is hampering their mental strength.

The paper is based on firsthand information received from an old-age couple.

This paper aims to take stock of research done in the domain of relationship marketing (RM). Additionally, this article aims to identify the potential areas of future research.

The authors have used machine learning-based structural topic modelling using R-software to analyse the dataset of 1,905 RM articles published between 1978 and 2020.

Structural topic modeling (STM) analysis led to identifying 14 topics, out of which 7 (viz. customer loyalty, customer relationship management systems, interfirm and network relationships, relationship selling, services and relationship management, consumer brand relationships and relationship marketing research) have shown a rising trend. The study also proposes a taxonomical framework to summarize RM research.

This is the first comprehensive review of RM research spanning over more than four decades. The study’s insights would benefit future scholars of this field to plan/execute their research for greater publication success. Additionally, managers could use the practical implications for achieving better RM outcomes.

The case on Moodcafe captures the journey of the start-up and its entrepreneurs from the beginning till the fund-raising stage. The case brings forth critical decisions that each entrepreneur or the team of co-founders have to address during their start-up journey. This short case gives opportunity to delve into two aspects mainly a) As a founder, which investor should one choose for seeking funds and what should be the terms and conditions of investment? and b) How can one review and assess the business model of a start-up?

Environmental risks (ERs) are critical to any highway construction project (HCP). One of the main contracting parties responsible for ERs is the contractor. Hence, it has been crucial to look into ways to control ERs in HCPs from the contractor’s perspective. This study aims to investigate how ERs can be managed in HCP in Sri Lanka.

A quantitative research approach with three rounds of Delphi was used. Statistical techniques were used to analyse and validate the ERs, the parties to whom the risks were to be allocated, and risk management measures identified from the empirical data collection.

The study reveals the 11 most significant ERs for HCP. Further, the most significant ERs in HCP were mainly found to be the responsibility of contractors in Sri Lanka. Twenty-four most appropriate risk response measures were determined; 13 were found to be common measures that could be used to manage two or more risks, while the remaining 11 were unique to specific risks.

Overall, this research determines the most significant ERs in HCP, the best risk allocation among the parties and appropriate risk-handling strategies and measures for each significant ERs. Additionally, the study addresses the demand for ERs management in HCP.