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This study aims to investigate the antecedents of social interaction among Indian retail investors and fund managers to understand how these factors influence investment decisions. By identifying and examining these antecedents, the study aims to shed light on the social dynamics that shape investment behavior in the Indian financial market.

The researchers have mainly adopted an interpretive strategy for the present study. Qualitative data elicited through semistructured interviews with six retail investors and two fund managers were subjected to qualitative thematic analysis.

Our research found several factors that make Indian retail investors and fund managers connect and make financial decisions. Peers can improve a person’s investing performance through social facilitation, and discussing investment suggestions and lessons learned can affect a group’s investment behavior. Social norms also influenced investors’ financial decisions, demonstrating compliance. Investor closeness increased information sharing. Finally, the fear of missing out (FOMO), a psychological phenomenon where people fear missing out on rewarding experiences, encouraged social engagement as investors sought appealing prospects.

The researchers interviewed eight carefully selected interviewees across the divide between retail investors and fund managers. Adopting other grouping criteria, conducting a focus group discussion with more respondents or adopting a mixed-methods approach may increase our understanding of the investment decision behaviors of Indian retail investors and fund managers.

The findings have far-reaching consequences, from deepening our knowledge of investors’ motivations and actions to directing individual savers, informing the development of financial literacy initiatives, influencing fund management practices and inspiring additional research in this study area.

This research, including retail investors and fund managers, significantly contributes to the literature on investment decisions and behavioral finance, particularly in the context of Indian investors and managers. This study’s unique perspective and comprehensive approach make it a valuable addition to the field, sparking interest and further exploration among academics, practitioners and investors alike.

This chapter aims to assess the scope of India's gastronomic tourism post-COVID-19 and discuss the utilisation of vlogs to promote India as a gastronomic destination. First, the evolution of gastronomic tourism is reviewed. Next, opportunities and challenges associated with India's gastronomic offerings, both from international and domestic tourism perspectives, are discussed. Then, the role of vlogging to position and promote India as a gastronomic destination is established. The chapter suggests recommendations for the Ministry of Tourism, Government of India on utilising vlogging to promote gastronomic tourism.

Introduction: Governance is the management of various actions to improve human capacities and boost the efficiency with which services are delivered to the general public. The study analyses the relationship between two variables: geographic location and desire to switch to an E-governance system. The study also aims to explore the relevance of artificial intelligence (AI) in supporting E-Governance.

Objectives of study: (1) To investigate the notion of e-governance and the many approaches available. (2) To research various government E-Governance initiatives and raise awareness about the difficulties and opportunities facing India’s e-government system. (3) To study the acceptance of E-governance by the public from rural and urban districts.

Methodology: This study will use a descriptive research approach as its research strategy. Primary data was collected to check for the preference for an acceptance rate of E-Governance based on geographic location (URBAN and RURAL). The current investigation is conducted on 200 respondents from Northern India’s selected urban and rural districts.

Finding and implications: The report summarises the significance of e-governing system adoption in India and offers ways to improve the operation of these systems in the future. The results of the test show that both factors are highly significant. The study recommends that future research integrate our search for scientific studies with a search for non-scientific publications, as journal and conference publications may lag behind the most recent breakthroughs in the implications of AI use in public administration.

The case study aims to provide students with an understanding of child labour in India and how the Bachpan Bachao Andolan (BBA) movement is facilitating the eradication of child labour in India. The key objectives are to understand the challenges of eradicating child labour in India, assess the approaches to rescue and rehabilitation for the protection of a child in India, analyse the personality traits of a leader and evaluate the charismatic leadership of a leader.

The case study discussed child labour and the movement started by Kailash Satyarthi to protect children through the BBA or Save the Childhood Movement in India. He was awarded the Nobel Peace Prize in 2014 for his contribution to creating an environment to abolish child labour. Headquartered in New Delhi, BBA was established in 1980 to eliminate child slavery and violence against children (BBA.org.in, 2017). Satyarthi’s effort brought regulatory changes in the Indian constitution in the form of “Education as a fundamental right” (The Novel Prize, 2023). As per census 2011, more than 10 million children were involved in various industries in India (Drishtiias.com, 2019). Satyarthi and his BBA were far behind the mission they were to achieve. How should he move to eliminate child labour from India? Will he be able to create any impact on citizens, society and government through his new approaches?

The case study is ideal for courses on understanding strategy, leadership, personality traits and labour laws. This case study is designed for use in undergraduate and graduate early-stage programmes. The main purpose of this case study is to be used in programmes leading to a Master of Business Administration or a Bachelor of Business Administration. This case scenario focused on the BBA movement in India and its aim to eradicate child labour in India. It discussed the child labour scenario in Indian industries and how Satyarthi started the BBA movement to protect the future of underprivileged children in India. The case study discusses the challenges faced in rescuing and rehabilitation of children in India. The authors applied the big five model to analyse the personality of Satyarthi in the case context. The authors also used the concept and components of charismatic leadership to evaluate the traits of charismatic leaders from a case perspective. This case study will benefit students by focusing on traits related to personality and charismatic leadership concepts. Students will get the opportunity to explore the practical and theoretical concepts that interplay in this study.

Teaching notes are available for educators only.

CSS 6: Human resource management.

The COVID-19 outbreak reached a critical stage when it became imperative for public health systems to act decisively and design potential behavioral operational strategies aimed at containing the pandemic. Isolation through social distancing played a key role in achieving this objective. This research study examines the factors affecting the intention of individuals toward social distancing in India.

A correlation study was conducted on residents from across Indian states (N = 499). Online questionnaires were floated, consisting of health belief model and theory of planned behavior model, with respect to social distancing behavior initially. Finally, structural equation modeling was used to test the hypotheses.

The results show that perceived susceptibility (PS), facilitating conditions (FC) and subjective norms are the major predictors of attitude toward social distancing, with the effect size of 0.277, 0.132 and 0.551, respectively. The result also confirms that the attitude toward social distancing, perceived usefulness of social distancing and subjective norms significantly predict the Intention of individuals to use social distancing with the effect size of 0.355, 0.197 and 0.385, respectively. The nonsignificant association of PS with social distancing intention (IN) (H1b) is rendering the fact that attitude (AT) mediates the relationship between PS and IN; similarly, the nonsignificant association of FC with IN (H5) renders the fact that AT mediates the relationship between FC and IN.

The results of the study are helpful to policymakers to handle operations management of nudges like social distancing.

The research is one of its kind that explores the behavioral aspects of handling social nudges through FC.

Frankies For You is a comprehensive case on standard costing. It stresses the importance of adopting cost control tools like budgeting by small organizations. FFY is a small food joint started by Mr. Raj Singh. After the first month of operation, he finds that though sales volume has increased compared to the budget, the actual profit has fallen. Detailed variance analysis has to be used to find the cause for this anomaly, to evaluate the performance of the staff and to assign responsibilities. The case also refers to Activity Based Pricing, an important contemporary costing principle.

This study aims to explore when and for what purpose is social media used by tourists in their decision-making; and to further interpret the nature of such usage.

An online questionnaire was administered to 530 Indians who qualified as recent tourists and social media users. Partial least square structural equation modeling (PLS-SEM) is used to analyse hypothesised relationships; the results helped us to unveil the tourist social media cycle which is a conceptual model of the results obtained.

PLS-SEM results indicate that social media is predominantly used in the pre-travel stage for evaluation purposes, during travel stage for purchase purposes and post-travel stage for post-purchase behaviour. Also, it is noted that social media use by a tourist is an ongoing process, and thus, a conceptual model in the form of tourist social media cycle is unveiled.

This study reveals the unique behaviour of Indian tourists with respect to using social media for travel decision-making, which establishes a different perspective of understanding and further strategizing social media’s use in tourism for a developing nation. Also, the tourist social media cycle stresses on the importance of social media as a digital repository where continuously the user-generated content is used by self (existing) or “others” (potential tourists).

To the best of the author’s knowledge, this is the first study that addresses the population and knowledge gap of understanding social media–based tourist behaviour providing a perspective of a developing nation, specifically India. Further, it unveils the nature of social media use by tourist in the form of a first ever tourist social media cycle.

Since the hospitality industry is driven by people, effective utilization of knowledge among various organizational units is required to ensure guest satisfaction and in turn superior performance. Research trying to find the implications of transactive memory systems (TMSs), an integrative mechanism for knowledge management in organizations, has yielded ambiguous and mixed results, leading the researchers to believe that the linkages may not be as straightforward as previously imagined. In this study, the authors theoretically build their arguments based on the knowledge-based view of the firm and empirically test these linkages using data collected from the small hotels of India.

Data were collected from the owner-managers or senior executives of small hotels operating in the Uttarakhand state of India, and analysed using structural equation modelling (SEM) and Hayes process macro.

It was found that for the hospitality firms, the TMS is an enabler for performance only when the focus of knowledge creation and utilization is on building effective strategic orientations. Further, the technology orientation (TO) and learning orientation (LO) of the hotel mediate the relationship between the TMS and firm performance.

Effective knowledge sharing among employees helps availability of credible and crucial information about customers, which eventually helps in long-term mutually beneficial relationships with the customers, leading to greater economic value creation for the hotel.

By establishing theoretical links between knowledge creation and utilization, and validating these linkages using data collected from the hotel industry in India, this study offers unique and useful insights for the theoretical advancement of the hospitality literature. This study also makes a case that small hotels investing their energy and resources into the creation of a transactive memory systems could reap benefits through appropriate strategic postures.

Twitter is the most widely used platform with an open network; hence, tourists often resort to Twitter to share their travel experiences, satisfaction/dissatisfaction and other opinions. This study is divided into two sections, first to provide a framework for understanding public sentiments through Twitter for tourism insights, second to provide real-time insights of three Indian heritage sites i.e., the Taj Mahal, Red Fort and Golden Temple by extracting 5,000 tweets each (n = 15,000) using Twitter API. Results are interpreted using NRC emotion lexicon and data visualisation using R.

This study attempts to understand the public sentiment on three globally acclaimed Indian heritage sites, i.e. the Taj Mahal, Red Fort and Golden temple using a step-by-step approach, hence proposing a framework using Twitter analytics. Extensive use of various packages of R programming from the libraries has been done for various purposes such as extraction, processing and analysing the data from Twitter. A total of 15,000 tweets from January 2015 to January 2021 were collected of the three sites using different key words. An exploratory design and data visualisation technique has been used to interpret results.

After data processing, 12,409 sentiments are extracted. Amongst the three tourists' spots, the greatest number of positive sentiments is for the Taj Mahal and Golden temple with approximately 25% each. While the most negative sentiment can be seen for the Red Fort (17%). Amongst the positive emotions, the maximum joy sentiment (12%) can be seen in the Golden Temple and trust (21%) in the Red Fort. In terms of negative emotions, fear (13%) can be seen in the Red fort. Overall, India's heritage sites have a positive sentiment (20%), which surpasses the negative sentiment (13%). And can be said that the overall polarity is towards positive.

This study provides a framework on how to use Twitter for tourism insights through text mining public sentiments and provides real- time insights from famous Indian heritage sites.

The COVID-19 pandemic has exposed the financial-economic vulnerability of the public and threatened the household financial stability, especially of the low-income group population, in developing economies such as India. The assessment of household financial vulnerability has gained considerable attention these days, especially in poor and developing countries. This article seeks to assess the level of household financial vulnerability in India, based on a household survey conducted across India.

This paper has proposed a financial vulnerability index (FVI) based on three self-reported parameters: (1) making end meet, (2) perception of income shock and (3) perception of expenditure shock. Subsequently, the impact of various behavioural and socioeconomic factors on the proposed financial vulnerability index has been assessed using fractional probit regression.

The research findings indicate that higher financial knowledge, better money management skills and lower impulsivity in financial behaviour can reduce financial vulnerability. It is suggested that suitable financial literacy programmes be implemented for vulnerable sections of society to enhance their financial knowledge, improve money management skills and manage impulsivity, thereby helping them make informed financial decisions leading to their financial well-being.

To the best of the authors’ knowledge, none of the past studies have developed and assessed the financial vulnerability index in India. This study provides relevant recommendations for various financial sector regulators and government institutions in India.