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The purpose of this paper is to examine market microstructure differences in stock market quality for hospitality real estate investment trusts (REITs) during the pre- and post-financial crisis eras. It provides insight on different trading strategies based on the underlying liquidity and volatility of hospitality REITs as compared traditional REITs and the broader market.

The paper uses established microstructure measures for liquidity, trading volumes and risk assessment and compares daily and intraday trading patterns of REITs, hospitality REITs and the broad market.

The results suggest a quicker recovery of performance for hospitality REITs and some fundamental increases in liquidity measures post-crisis. The results of the study highlight the differences in trading volumes, liquidity and risk profile of hospitality REITs compared to traditional REITs both in the pre- and post-financial crisis periods.

The quicker recovery of hospitality REITs in key trading measures may suggest flight to quality during periods of high volatility.

This study fills the gap in the literature relative to microstructure studies and provides information to help hotel firms and portfolio managers choose an appropriate organizational structure and investment vehicle, respectively.

The purpose of this paper is to examine the stock price movements for existence of informed trading prior to a merger announcement for the companies listed on the emerging markets of India for the period from 1996 to 2010.

This study applies several event study methodologies and regression analyses to analyze the stock price movement surrounding a merger announcement. The paper divides mergers in two different types: industry merger cases and non-industry merger cases and in two different time periods: recession and boom.

The results show that the information held only by insiders’ works its way into prices. The paper finds strong evidence of insider trading in the case of industry mergers and mergers during recessions.

The results from this study have immediate policy implications for India and other developing markets as the paper provides the type of mergers and time periods when merger announcements are more susceptible to insider trading.

The paper extends the literature on mergers and insider trading by analyzing firms trading on a developing capital market, which, unlike the developed markets, is characterized by inadequate disclosure and a weaker enforcement of securities regulations. The results support this notion and recommend Indian securities market regulators to tighten the lax regulations. In addition, the author document the divergence in price reaction to the merger announcements for different types of mergers: industry mergers and non-industry mergers, as well as for mergers during different market conditions: recession vs booming capital markets.

The learning objectives of this case study are to understand business-to-business (B2B) marketing in a logistics organization; apply go-to-market (GTM) strategy in the logistics industry; design B2B distribution strategy so as to enhance geographic penetration; and develop digital marketing strategies in the logistics industry.

V-Xpress is a leading B2B player in the express cargo category in the Indian logistics industry. In March 2017, Sachin Nair, Head of V-Xpress Marketing, was presenting three different GTM strategies to the CEO for the new Assured Timely Movement services. He wanted CEO views on each of them so that he can choose the best one. Sachin was also trying to find a solution to backhaul problem in eastern India. The resolution of this problem would have helped V-Xpress to become a truly pan-India B2B logistics company. Sachin was also revamping the digital marketing strategy as part of ambitious V-Xpress marketing strategy. These initiatives were taken as part of CEO’s vision for reaching annual revenue of INR 10bn by 2020. Sachin was thinking about various options so as to implement these changes with least investments.

This case study can be used in B2B marketing, marketing management and marketing strategy course of an MBA program.

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CSS: 8: Marketing

Since 2013, the Indian Companies Act Section 135 has mandated corporate social responsibility (CSR) reporting by Indian central public sector enterprises (CPSEs). CSR reporting is regulated by multiple Government of India ministerial agencies, each requiring different formats and often different data. This study aims to understand the impact of these multiple regulatory bodies on CSR reporting by Indian CPSEs; evaluate the expectation gap between regulators and the regulated; and investigate the compliance burden on CPSEs.

An interview-based approach was adopted to evaluate the perspectives of both regulators and regulated CPSEs on the impact of the new regulations on CSR reporting quality. The authors use the lens of institutional theory to analyse the findings.

Driven by coercive institutional pressures, CPSEs are overburdened with myriad reporting requirements, which significantly negatively impact CPSEs’ financial and human resources and the quality of CSR activity and reports. It is difficult for CPSEs to assess the actual impact of their CSR activities due to overlapping with activities of the government/other institutions. The perceptions of regulators and the regulated are divergent: the regulators expect CPSEs to select more impactful CSR projects to comply with mandatory reporting requirements.

The findings of this study emphasise the need for meaningful dialogue between regulators and the regulated to reduce the expectation gap and establish a single regulatory authority that will ensure that the letter and spirit of the law are followed in practice and not just according to a tick-box approach.

Implementing big data analytics and client customization programs is causing a significant revolution in the insurance sector. This study examines how big data analytics may revolutionize the insurance industry, emphasizing how consumer customization can improve customer experiences, maximize risk assessment, and spur company expansion.

An empirical study with statistical analysis using tools like correlation and regression was carried out to ascertain the relationships between the various sets of variables—personalized customer experiences and customer satisfaction and customer profiling leads to more effective targeting of marketing efforts. We explore essential ideas like client segmentation, profiling, and retention via a thorough analysis of the literature and case studies, showcasing best practices and inspirational tales from top insurers.

The empirical study found that there is a very high correlation between transparency in data and stakeholders' trust. The study found that insurers may preserve their innovation-driven culture, strengthen customer relationships, and achieve sustainable development in a competitive market by embracing future technological innovations and resolving current challenges.

Insurance companies may seize new chances for individualized client experiences and long-term success in a market that is becoming increasingly competitive by utilizing cutting-edge technology like artificial intelligence and the Internet of Things. To effectively manage the changing terrain of consumer customization in the digital age, insurance professionals, academics, and legislators will find this study highly insightful.

The study is an original contribution based on literature and case studies analysis, showcasing best practices and inspirational tales from top insurers.

This paper is developed from the second author's ongoing Ph.D. research, which focuses on the managerial thinking (personnel specialists) about strategic management of human resources from a cross‐cultural viewpoint between India and Britain. The Indian Personnel Specialists are under a severe pressure to bring about large scale structural changes in their organisations to cope with the challenges thrown by the recent liberalised economic policies. The role of Human Resource (HR) function has become more important than ever in such conditions. An attempt is therefore made to analyse the HR function in India in the changing economic environment. The influence of a number of national and contingent variables on the HR function is therefore studied to place it against the worldwide patterns of Human Resource Management (HRM) practices.

In this chapter, a general introduction on artificial intelligence (AI) is given as well as an overview of the advances of AI in different engineering disciplines, including its effectiveness in driving the United Nations Sustainable Development Goals (UN SDGs). This chapter begins with some fundamental definitions and concepts on AI and machine learning (ML) followed by a classification of the different categories of ML algorithms. After that, a general overview of the impact which different engineering disciplines such as Civil, Chemical, Mechanical, Electrical and Telecommunications Engineering have on the UN SDGs is given. The application of AI and ML to enhance the processes in these different engineering disciplines is also briefly explained. This chapter concludes with a brief description of the UN SDGs and how AI can positively impact the attainment of these goals by the target year of 2030.

While a range of studies have been undertaken on role efficacy (RE) and managerial effectiveness (ME), understanding of the link between RE and ME in the extant literature remains underdeveloped and, in particular, there is a need to develop appreciation of the phenomenon in varying (national and cultural) contexts. The purpose of this paper is to advance the understanding of ME by considering the relationship between RE and ME in the Indian context. In tandem with this focus, the study considers the parallel underlying dynamic and influence of social cognitive frameworks and adaptive self-regulation mechanisms.

The study employs a quantitative methodology and follows a correlational design. A survey questionnaire was employed sequentially (the independent variable was measured at time 1 and the dependent variable was measure at time 2) in order to collect data from 294 Indian managers. Structural equation modeling was used to ascertain the validity of measures and multiple hierarchical regression analysis was conducted to test the study hypotheses.

The results of the study identify that RE dimensions, i.e. role making, role centering and role linkage were significantly and positively related to ME and these findings are particularly important in relation to the transforming cultures of Indian work and organizational environments. These findings advance the understanding of social cognitive theory and adaptive self-regulation processes in relation to RE and ME.

The empirical results of this study suggest that RE-related components may be used as means to boost employee effectiveness.

The study identifies a significant role for RE in relation to beneficial outcomes for ME. These findings contribute to the field of social cognitive mechanisms by establishing positive relationships in domain link efficacy, i.e. RE and ME.

The growing prevalence of digitalisation in economies has brought attention to the significance of digital transformation and its potential to enhance the competitiveness of enterprises within the emerging market. Nevertheless, it is important to note that disruptive changes are not limited to the organisational level, as they also have broader implications for the environment, society and institutions. The incorporation of technology into the field of education, often known as educational technology (EdTech), has undergone a significant evolution in recent times, fundamentally transforming the methods and processes of teaching and learning. This chapter delves into the multifaceted landscape of digital transformation in the field of EdTech from the perspective of sustainable development, elucidating the wide range of opportunities and challenges that consumer, educators, institutions and technology providers and various stakeholders face when they embark on this journey. Further, this chapter also sheds light on how to overcome the challenges faced by the stakeholders in digital transformation of EdTech for quality education.