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Research on international experience notes its positive influence on subsequent international expansion by firms. We test this relationship in the context of the Indian software industry whose offerings, unlike many other services, are storable implying that delivery can be separated from production.

We analyzed the domestic expansion of a sample of publicly listed Indian software firms over the period 2000–2009 with help of Poisson regression.

We find that even internationally experienced Indian software firms might prefer to expand domestically because of limited financial and managerial resources and concerns about diluting their cost advantage. The storable and separable nature of software services will support this strategy of serving clients remotely. The domestic expansion of assets will, however, be slower for firms with the highest level of industry accreditation. It will also be slower if there are institutional pressures in the form of rivals locating development centers near clients in developed countries.

Our results demonstrate that international experience alone is not sufficient for firms to expand overseas.

The purpose of this paper is to examine the inter-firm variation in the opening of international global development centers (GDCs), in a high commitment entry mode, by Indian software firms as a function of their past performance, degree of internationalization, possession of a valuable resource in the form of CMMI Level 5 certification and rivals’ establishment of GDCs.

The authors draw on the organizational learning theory, the resource-based view and the strategic behavior theory to analyze the variation in the number of GDCs opened by 32 leading Indian software firms between 2000 and 2009.

The authors find that strong past performance of Indian software firms leads to the establishment of a greater number of GDCs. The authors further demonstrate that non-financial resources, such as the possession of CMMI Level 5 certification, positively moderate the above relationship.

The research is conducted in the context of a single industry and a single home country. The authors also focus on a subset of firms (large, listed firms) in the industry. The authors recommend future research to examine other knowledge-intensive industries.

An increasing number of Indian software firms and other emerging market firms wish to locate close to their overseas customers by choosing a high commitment entry mode. The research suggests that, prior to internationalizing, managers should build up critical and relevant resources through deployment of high commitment entry modes.

The research has many unique aspects including a rigorous model development, a robust empirical approach as well as an interesting empirical context. The authors believe that the results will be useful to academics and practitioners alike.

The purpose of this study is to understand the different types of risks affecting the demand for the automotive sector in India. The study is further trying to illustrate an approach for analyzing the relative intensities of these risks in the present uncertain business environment.

Risk on the overall demand is assessed by a combined Bayesian – multi-criteria decision-making approach. Data related to the different factors, affecting their product demand is collected from major automobile firms. Then, weights for these factors are evaluated by applying the analytic hierarchy process approach. Further, these weights are used in the Bayesian analysis network to evaluate the risk intensity for different subgroups, namely, political, economic, social, technological and environmental.

From the literature and experts’ opinion, total 16 risk factors have been finalized and these are further grouped into 5 categories i.e. political, economic, social, technological and environmental. It is observed that the demand for organizations functioning in the automotive sector is more vulnerable to economic risk as compared to other risks considered in the study.

Managers and decision makers of associated organizations can use the proposed framework to assess the demand risks so as to pre-evaluate their demand corresponding to future changes. Factors can be added or removed and importance could be assigned to different risk factors according to the prevailing business environment for an organization or sector. This will also help the organizations to conduct a more effective risk management in an uncertain business environment.

The study will help in better understanding of the various demand risks prevalent in the Indian auto sector. The methodology used, provides a novel approach for assessing the macroeconomic demand risks and can be used by the firms working in the automotive sector. The proposed methodology could be used for assessing supply chain risk or any other business initiative risk. The suggested approach will help managers in devising flexible management techniques so as to mitigate the risk.

This chapter investigates pandemic impact in a variety of industries, including food, travel, education and pharmaceuticals, considering elements such as isolation, emotions and social influences, which can lead to panic buying. The goal of this research is to ascertain how COVID-19 influences the buying decisions of customers. Additionally, the study aims to identify consumer consumption trends for a spectrum of products and services, including fast-moving consumer goods (FMCGs), entertainment, pharmaceuticals, travel and tourism. A comprehensive review of different research papers is done to conclude. The papers considered are from 2020 to 2022. Different keywords are used to search the relevant papers such as ‘pandemic’, ‘COVID-19’, ‘behaviour’, ‘impulsive’, etc. TCCM framework has been applied while reviewing the articles. During the isolation, consumer behaviour moved to panic buying and stockpiling, favouring organic basics, and encouraging e-commerce, as well as economic nationalism favouring made-in-India products. This study helps in knowing the reasons for change in consumers' behaviour for different products and services due to unforeseeable situations like COVID-19 and can find possible ways to deal with them. Business owners learn about changing consumer purchasing behaviours and how to modify products. The government can change policies to improve medical tourism and social protection.

The purpose of this paper is to examine the effect of corporate board size and promoter ownership on firm value for selected Indian companies.

The study analyses the corporate governance structure of 176 Indian firms listed on the Bombay Stock Exchange using linear regression analysis.

The empirical findings show a negative relationship of board size with firm value and significant positive association of promoter ownership with corporate performance. The study suggests that only above a critical ownership level of 40 percent does promoter's interest become aligned with that of the company, resulting in positive effect on firm value.

The research has been limited to some selected Indian companies, with focus only on board size and promoter ownership as predictor variables. The study suggests that corporate governance reforms in India and introduction of non‐executive independent directors to the board have resulted in diminishing effect of board size on the firm value.

The study implies that for emerging economies like India, it is practical to have greater ownership control by promoters to enhance company value. Also, it is not advisable to have a board size above certain limit.

The paper adds to existing literature on corporate governance by establishing a relationship between firm performance and board size and promoter ownership.

The learning outcomes are as follows: to understand the cultural and ethical dimensions revolving around the issue of female feticide; to apply the lens of institutional theory with respective change management measures; and to analyze and evaluate the impact of such intervention programs such as Beti Bachao Beti Padhao in the context of emerging economies such as India.

This case attempts to highlight the innovative and effective governance approach by the Government of Rajasthan (India) and, in particular, the State Health Assurance Agency to curb the menace of female feticide and the rising cases of abortion and sex determination in an attempt to favor a male child. The case concentrates on mainly three dimensions of Indian societal ecosystem, namely, the grave concern of preference of male child over female child leading to widespread cases of female feticide in different states in India with specific focus on the state of Rajasthan; the role of cultural dimension which primarily drives such preferential treatment in rural and urban areas in India; and the importance of using effective policy measures in monitoring various activities, introduction of incentive schemes to patients for preventing sex determination and promoting the birth of female child.

This case can be used as a teaching material in the Public Policy course – Social Welfare and Health Policy, Policy interventions, organization theory and change management at the Graduate/MBA level.

Teaching notes are available for educators only.

CSS 10: Public Sector Management.

Integrating digital technologies such as artificial intelligence and blockchain make the agri-food supply chain (ASCM) transparent, resilient and flexible. However, its adoption is quite complex due to various anticipated barriers. So, the presented research purposes to explore and investigate the barriers.

This study employs hybrid approach including Best-Worst Method (BWM) and Graph Theoretic Approach (GTA). Data were collected from industry experts employed in the agri-food sector and analyzed by means of standard operating procedures.

GTA results show that Technological barriers have the highest barrier intensity. Moreover, BWM results show that “Increased operational complexity” is the topmost barrier to adopting blockchain in ASCM. “Lack of interoperability” ranks second among the identified barriers.

The results benefit the managers, practitioners and researchers to understand the anticipated barriers so that necessary strategies can be developed, and organizations can become more resilient, agile, transparent and traceable.

The presented work is the first to develop a mathematical model and assess the industry’s eagerness to adopt blockchain in ASCM. The proposed framework will greatly benefit the stakeholders working in agri-food sector.

The financial crisis of 2008-2009 was truly global in nature that affected all sectors and countries of the world. Being considered that a board of directors is the main governance mechanism through which a company is governed and managed. The purpose of this paper is to examine the effect of the governance structure of a company on its financial performance during the period of financial crisis.

The study investigates the effect of board structure parameters – board leadership, directors and board size on the financial performance for 164 non-financial listed firms in India during the period of financial crisis of 2008-2009.

The study finds a significant positive effect with Chief Executive Officer duality, executive chairperson and proportion of inside directors on the firm’s financial performance. Independent directors have no significant influence, while non-executive (grey) director’s being affiliated with the firm has a negative influence on firm’s financial performance. A larger board has a negative relationship with the firm’s financial performance.

The study is limited to large non-financial firms of the Bombay Stock Exchange-200 index. The study may be extended to include other firms to generalize the findings.

Results imply that during the period of financial distress, a company having more inside (or management) directors with an executive chairperson are in a better position to manage company resources with positive impact on financial performance. Companies with larger boards may find it difficult to take quick decisions, which ultimately affect their performance.

The study is original in its idea of assessing company strategy to adopt a suitable governance structure that can sustain its performance during the period of financial crisis.

This study aims to examine the intricate relationships in the making of a box office through a stakeholder lens that considers the influence of filmmakers and theatres on moviegoers' intention to watch a movie at the theatre.

Employing covariance-based structural equation modelling (CB-SEM), this study analyses survey data on cinema-going experience collected from 673 moviegoers in digital era of a new normal.

The findings elucidate that movie branding, movie genre and theatre preference positively influence moviegoers' intention to watch a movie at the theatre. Furthermore, the study unveils that theatre preference is swayed by an array of personal and social factors, including control belief and social companion. Intriguingly, promotional elements, both commercial and non-commercial, were found to influence movie branding, yet not the genre when predicting theatre attendance intentions.

Amid the burgeoning alternatives for watching movies (e.g. cable television and online streaming platforms), this article offers a contemporary exploration of the variables that motivate audiences to partake in the cinema-going experience, thereby serving as a proxy to decipher the factors that drive a movie's box-office success in digital era.

Unlike prior studies relying on archival data, the present study collects and uses survey data to develop a novel stakeholder theory-based marketing framework for the box office and moviegoers. The study also provides seminal insights on the box office and moviegoers in the digital era of a new normal.