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Alexa’s integration in rural primary schools has improved the pedagogy and has created an engaging and objective learning environment. This study investigates the integration, with a specific focus on exploring its various aspects. The impact of Alexa’s on students' English vocabulary, comprehension and public speaking are examined. This study aims to provide insights the teachers and highlight the potential of artificial intelligence (AI) in rural education.

This content analysis study explores the use of Alexa in primary education in rural areas of India. The study focuses on the types of the questions asked by the students and examines the pedagogical implications of these interactions. By analyzing the use of Alexa in rural educational settings, this study aims to contribute to our understanding of how voice assistants are utilized as educational tools in underprivileged areas.

Alexa significantly improved students' English vocabulary, comprehension and public speaking confidence. Alexa increased school enrollment and retention. Virtual voice assistants like Alexa may improve pedagogy and help India’s rural education. This study shows AI improves rural education.

The study only covers rural India. Self-reported data and observations may bias the study. The small sample size may underrepresent rural educational institutions in India.

Alexa is used to study rural India’s primary education. Voice assistants in rural education are understudied. The study examines Alexa’s classroom use, student questions, and policy and teacher education implications. AI’s education transformation potential addresses UNESCO’s teacher shortage. This novel study examines how AI can improve rural education outcomes and access.

The surge in coronavirus disease (COVID-19) cases in India raises the need to study the variables that affect product and category choices, consumer buying preferences and consumrs' future spending. The purpose of the research is to analyse the purchasing behaviour of Indian consumers with regard to health and hygiene products, taking into consideration the impact of the current pandemic crisis.

Using purposive sampling criteria, a web-based questionnaire was circulated and a total of 411 responses were received.

The results assert that variables such as awareness of social distancing, brand-cause fit, word-of-mouth (WOM) publicity, altruist attribution, perceived usefulness and social norms have significant impact on trust and perceived values, which ultimately leads to consumer's purchase intention towards health and hygiene products. In addition, the model detects the moderating role of health consciousness.

The empirical findings will help marketers in designing their strategies to enhance consumer purchase intention with regard to health and hygiene products in the current pandemic situation.

The study enriches the emerging literature with regard to the impact of COVID-19 on health and hygiene products retailing.

One of the most marginalized communities in India is the Lesbian, Gay, Bisexual and Transgender (LGBT) community which commonly experiences discrimination. Many studies have countered that the LGBT community faces high discrimination in the banking and financing industry. As a result, this study concentrates on this marginalized community and its acceptance and continuation habit regarding mobile wallets. Consequently, this study has considered continuance intentions as a response to confirm the progress of the mobile-wallet industry. Also, this study tried to study the relationship between behavioral intention (BI) and continuous intention (CI) which is seriously lacks in the library of literature. The research operationalized the stimulus–organism–response (SOR) framework for the conceptual model and surveyed 100 self-proclaimed members of the LGBT community in India. The analysis has been done using the partial least structure (PLS). The findings demonstrate that variables like perceived trust (PT) directly influence the BI. On the other hand, variables like perceived ease of use (PEoU), social influence (SI), and satisfaction (S) doesn’t influence BI of the LGBT Community. The main outcome was a favorable association between BI and CI. It will help the stakeholders to understand how important this new market avenue is and how it can be explored. To ensure safe and secure transactions, a group think tank composed of important parties (financial institutions, mobile-wallet providers, the government, security specialists, etc.) should make recommendations. Mobile-wallet providers will attain benefit from this study’s understanding of user categories and ability to tailor their service offers as per the community.

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 present study aims to comprehensively examine the impact of the Union Bank of Switzerland (UBS) takeover of Credit Suisse on the banking and financial services sector in the Indian stock market. To fully comprehend the impact of the event, the study separately investigates the response of private sector banks, public sector banks, overall banking companies and financial services companies to the takeover of the second-largest financial institution in Switzerland.

The study employs event study methodology, using the market model, to analyze the event's impact on Indian banking and financial services sector stocks. The data consists of daily closing prices of companies included in the Nifty Private Bank Index, Nifty PSU Bank Index, Nifty Bank Index and Nifty Financial Services Index from the National Stock Exchange (NSE). Furthermore, cross-sectional regression analysis has been conducted to explore the factors that drive abnormal returns.

The empirical findings of the study suggest the event had a heterogeneous impact on the stock prices of Indian banks and financial services companies. While public sector banks experienced a significant negative impact on select days within the event window, the overall Indian banking sector and financial services companies also witnessed notable declines. In contrast, Indian private sector banks were relatively resilient, exhibiting minimal effects. However, the cumulative effect is found to be insignificant for all four categories across different event windows. The study also observed that the cumulative abnormal returns (CARs) were significantly influenced by certain variables during different event windows.

To the best of the authors' knowledge, the present study is the earliest attempt that investigates the impact of the UBS takeover of Credit Suisse on the Indian banking and financial services sector using event study methodology and cross-sectional regression model.

The COVID-19 pandemic had severely impacted global commerce, leading to market closure and travel restrictions. Due to the extreme limitations on shopping and market possibilities, consumers’ buying habits have changed significantly and they are still changing what they buy and how they purchase for everyday necessities. They are trying to shop locally, carefully, and economically. Consumers are buying their stuff from wherever goods are available. Purchasing nonessential items is restricted. Restaurants, tourism, apparel, and furniture are the industries that have been impacted the most. The objective behind this study is to find out the post-COVID-19 effects on consumer buying of essentials from a convenience store over hypermarkets and how consumer behavior will revive postpandemic toward retail shopping. In the study, responses were collected through structured questionnaire to explore the consumer buying behavior for their daily essentials both at convenience stores and hypermarkets. The study reveals that consumers prefer to buy essential commodities/goods of daily needs from convenience store compared to hypermarket due to the risk of being exposed to COVID-19 pandemic and this behavior will change future trend of retail shopping experience. The major limitation of the study is sampling frame. Future studies can replicate this study in different context with different target population. Pertaining to the current ongoing situations of the pandemic, a very high percentage of the respondents would still choose nearby convenience stores over hypermarkets. This study estimates the behavioral change in retail consumers in future; therefore, it suggests retailers adopt innovative marketing strategy in future.

Due to the extremely complicated and unpredictable outside world, using and unlocking the potential of learning agility (LA) has become a key part of making businesses more competitive, and there is a lot of new research being produced on this topic very quickly. Thus, this study aims to carry out a bibliometric analysis to systematically analyse the existing literature on LA and propose an integrated framework depicting various predictors, mediators and outcome variables covered in the LA research. Moreover, this study lays out a rich and detailed agenda for future research and enhances understanding of LA by suggesting future research questions.

This study applied bibliometric analysis using the Scopus database. This study applied bibliometric analysis and cluster analysis to examine the contributions of research constituents (authors, institutions, countries and journals) and their structural and thematic relationships (co-citation network and thematic trends). The most important insights were used to propose an integrated conceptual model.

Based on the results of the performance analysis, this study discovered that the USA is the most productive country in this research field, followed by Belgium, Australia, Korea and India. In addition, the findings highlight the most prominent journals, authors and countries contributing to LA, document citations and theories contributing to the field of LA. This study identifies four emerging future research themes (clarity of construct, identification of variables to be studied with LA, strategies enhancing LA and context of study) and proposes subsequent research questions using science mapping analysis.

A review of existing literature on LA provides a clear understanding of the current and future state of research on this topic. And, from a practical standpoint, this study highlights emergent clusters that will help practitioners build LA as a tactical reaction to the current volatile, uncertain, complex and ambiguous environment.

This study is relevant as it aims to systematically review articles on LA and proposes an integrated conceptual framework based on existing literature that will serve as a guide for existing and future research in this area.

The purpose of this study is to examine the behaviour of retail investors while making an investment decision and how it gets affected by the behavioural biases of the investors using a moderated-mediation framework.

A mixed method approach has been used to fulfil the objectives of the study. In the first study, a qualitative analysis of the interviews with 15 retail investors was conducted. As part of the quantitative study, a total of 201 responses from Indian retail investors were collected using systematic sampling and analysed using structural equation modelling and Process Macro.

The results indicate that anchoring bias, availability bias, herding bias, switching cost, sunk cost, regret avoidance and perceived threat have a significant effect on retail investors’ investing intention. The attitude of the investors towards investing decisions mediates the effects of behavioural bias and the status quo on investment intention. The results of the moderated-mediation analysis indicate that mediating effect of attitude varied at the low and high-risk aversion of investors.

The findings of this study will help regulators and retail investors to understand the critical behavioural biases which affect the investors’ investing intention.

The paper contributes to the literature on investors’ behaviour, status quo bias theory (SQB) and behavioural bias. This study uniquely proposes a moderated-mediation framework to understand the effects of biases on retail investors’ investment intention.

Artificial intelligence and augmented reality are two key tools gaining importance in the digital era due to their wide range of applications in different fields and sectors. Industry 4.0 lays emphasis principally on the technology used to help the business remain competitive and sustainable. Sustainable development goals are another important objective of the UN which has laid responsibility for every business to support addressing the global challenges. Purpose: This chapter essentially aims to present the standpoint of artificial intelligence and augmented reality in meeting the sustainability perspective of organizations. Information about the study is gathered through secondary approaches, critically reviewing published literature, scientific reports, and statistical data accessible through business reports, and corporate websites. Further analyzed to present the perspectives of the authors in the study. Globally artificial intelligence market size is predicted to reach $190 billion by 2025, while the funding for startups doubled during the period 2011–2020 globally. The investment in artificial intelligence is going to reach $500 by 2024 resulting in substantial revenue returns. The augmented reality market size could reach $97 billion by 2028. Artificial intelligence today is increasingly used in many fields and is attracting multiple applications in many sectors such as manufacturing, retail, education, IT, and health care and has also contributed to sustainable development the same time by providing energy conservation options, optimization, and reduction of resources, minimizing wastage, offering timely assistance on maintenance schedules, practices which are enabling organizations to reach closer to sustainability and transformation.

Despite the vast potential of mobile phone use, grape smallholder farmers’ satisfaction with mobile phone use has attracted insufficient attention among scholars in Tanzania. The study examined factors influencing satisfaction with mobile phone use for accessing agricultural marketing information.

The study used a cross-sectional research design and a mixed research method. Structured questionnaire and focus group discussions were used to collect primary data from 400 sampled grape smallholder farmers. Data were analysed inferentially involving two-way analysis of variance, ordinal logistic regression and thematic analysis.

The findings indicate a statistically significant disparity in grape smallholder farmers’ satisfaction across different types of agricultural marketing information. Grape smallholder farmers exhibited higher satisfaction levels concerning information on selling time compared to all other types of agricultural marketing information (price, buyers, quality and quantity). Factors influencing grape smallholder farmers’ satisfaction with mobile phone use were related to perceived usefulness, ease of use, experience and cost.

This study contributes to scientific knowledge by providing actionable insights for formulating unique strategies for smallholder farmers’ satisfaction with agricultural marketing information.