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Amid the growing investors’ interest in environment, social and governance (ESG) investing, the present study aims to examine the investors’ reactions to the reconstitutions of the prominent Indian sustainability index.

Incorporating both the announcement day (AD) and the effective change day (CD), the market model of event study methodology has been employed to measure the investors’ reactions in terms of abnormal stock returns in both the short and long term. Inclusions in and exclusions from the S&P BSE 100 ESG index are used as an indicator of sustainability.

Surprisingly, our empirical analysis suggests that stock markets do not reward the inclusion of a company in the sustainability index. However, unexpectedly, exclusions are accompanied by significantly positive cumulative average abnormal returns, observed during both the temporary price impact window and the total permanent price effect window. These atypical findings could be linked to the particular clientele composition of included and excluded companies.

The findings of this study carry significant implications for corporate decision-makers, investors and policymakers involved in sustainability and ESG practices within the Indian market. By shedding light on the market’s response to sustainability index reconstitutions, this research can aid in better managing associated opportunities and risks.

While previous research has predominantly focused on American and European markets, our study extends the analysis to understand how Indian investors respond to news of inclusions and exclusions from the BSE 100 ESG index. By offering insights into the price effects associated with the revisions in the S&P BSE 100 ESG index list, the study contributes to the advancement of literature.

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.

Given the dearth of thorough summaries in the literature, this systematic review and bibliometric analysis attempt to take a meticulous approach meant to present knowledge on the constantly developing subject of stock market volatility during crises. In outline, this study aims to map the extant literature available on stock market volatility during crisis periods.

The present study reviews 1,283 journal articles from the Scopus database published between 1994 and 2022, using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 flow diagram. Bibliometric analysis through software like R studio and VOSviewer has been performed, that is, annual publication trend analysis, journal analysis, citation analysis, author influence analysis, analysis of affiliations, analysis of countries and regions, keyword analysis, thematic mapping, co-occurrence analysis, bibliographic coupling, co-citation analysis, Bradford’s law and Lotka’s law, to map the existing literature and identify the gaps.

The literature on the effects of crises on volatility in financial markets has grown in recent years. It was discovered that volatility intensified during crises. This increased volatility can be linked to COVID-19 and the global financial crisis of 2008, as both had massive effects on the world economy. Moreover, we identify specific patterns and factors contributing to increased volatility, providing valuable insights for further research and decision-making.

The present study is confined to the areas of economics, econometrics and finance, business, management and accounting and social sciences. Future studies could be conducted considering a broader perspective.

Most of the available literature has focused on the impact of some particular crises on the volatility of financial markets. The present study is not limited to some specific crises, and the suggested research directions will serve as a guide for future research.

The present research study aims to explore the impact of the most recent Israeli–Palestinian conflict, which unfolded in October 2023, on global equity markets, including a wide range of both emerging and developed markets (as per the Morgan Stanley Capital Investment country classification).

The market model of event study methodology, with an estimation window of 200 days and 28-day event window (including event day, i.e. October 7, 2023), has been employed to investigate the event’s impact on the stock markets of different countries, with 24 emerging countries and 23 developed countries. The daily closing prices of the prominent indices of all 47 countries have been analyzed to examine the impact of the conflict on emerging markets, developed markets and overall global equity markets. Additionally, cross-sectional regression analysis has been performed to investigate the possible explanations for abnormal returns.

The findings of the study suggest the heterogeneous impact of the selected event on different markets. Notably, emerging markets and the overall global equity landscape exhibited substantial negative responses on the event day, as reflected in average abnormal returns of −0.47% and −0.397%, respectively. In contrast, developed markets displayed resilience, with no significant negative impact observed on the day of the event. A closer examination of individual countries revealed diverse reactions, with Poland, Egypt, Greece, Denmark and Portugal standing out for their positive or resilient market responses. Poland, in particular, demonstrated significantly positive cumulative abnormal returns (CARs) of 7.16% in the short-term and 8.59% in the long-term event windows (−7, +7 and −7, +20, respectively), emphasizing its robust performance amid the geopolitical turmoil. The study also found that, during various event windows, specific variables had a significant impact on the CARs.

The study suggests diversification and monitoring of geopolitical risks are key strategies for investors to enhance portfolio resilience during the Israeli–Palestinian conflict. This study identifies countries such as Poland, Egypt, Greece, Denmark and Portugal with positive or resilient market reactions, providing practical insights for strategic investment decisions. Key takeaways include identifying resilient markets, leveraging opportunistic strategies and navigating market dynamics during geopolitical uncertainties.

As per the authors’ thorough investigation and review of the literature, the present study is the earliest attempt to explore the short-term and long-term impact of the 2023 Israeli–Palestinian conflict on equity markets worldwide using the event study approach and cross-sectional regression analysis.

This study aims to investigate the impact of FTX bankruptcy on the global stock markets, including both the developed and emerging markets, as per the Morgan Stanley Capital Investment (MSCI) country classification.

Using the daily closing prices for leading stock market indices of all 47 countries in the MSCI market classification, comprising 23 developed markets and 24 emerging markets, the event study methodology is used to examine the impact of the event on developed markets, emerging markets and overall global equity markets.

The study finds heterogeneous effects of the event on different countries. Results indicate that overall global equity markets experienced a statistically significant positive cumulative average abnormal returns of 15.8533% in the complete event window of 28 days from t − 7 to t + 20. The authors conclude that traditional global equity markets can be used as a hedge against potential financial risk posed by unfavorable events in the cryptocurrency markets and have safe haven properties.

The study emphasizes the global financial system’s interconnectedness and the potential of traditional equity markets to hedge risks in the cryptocurrency market. The findings are relevant for investors seeking portfolio diversification and mitigating their exposure to potential risks in the cryptocurrency market.

To the best of the authors’ knowledge, the present study is the earliest attempt to comprehensively examine the impact of the bankruptcy of the world’s fourth largest cryptocurrency exchange, FTX, on the global equity markets.

Despite the fact that chatbots have been largely adopted for the last few years, a comprehensive literature review research focusing on the intention of individuals to adopt chatbots is rather scarce. In this respect, the present paper attempts a literature review investigation of empirical studies focused on the specific issue in nine scientific databases during 2017-2021. Specifically, it aims to classify extant empirical studies which focus on the context of individuals' adoption intention toward chatbots.

The research is based on PRISMA methodology, which revealed a total of 39 empirical studies examining users' intention to adopt and utilize chatbots.

After a thorough investigation, distinct categorization criteria emerged, such as research field, applied theoretical models, research types, methods and statistical measures, factors affecting intention to adopt and further use chatbots, the countries/continents where these surveys took place as well as relevant research citations and year of publication. In addition, the paper highlights research gaps in the examined issue and proposes future research directions in such a promising information technology solution.

As far as the authors are concerned, there has not been any other comprehensive literature review research to focus on examining previous empirical studies of users' intentions to adopt and use chatbots on the aforementioned period. According to the authors' knowledge, the present paper is the first attempt in the field which demonstrates broad literature review data of relevant empirical studies.

The issue of trust in Industry 4.0 is extremely important from an organization’s perspective. The dynamic development of 4.0 technologies implies wide-ranging changes, which, in order to be implemented effectively, require cooperation based on trust. The purpose of this literature analysis is to identify key research areas regarding trust in Industry 4.0 and to identify further research directions.

Based on a comprehensive literature analysis, the most prominent areas of research on trust issues in Industry 4.0 will be presented (k=36). This chapter will also identify and discuss directions for further research.

The results of the analysis enable to illustrate the trends of science development in the area of Industry 4.0, as well as to identify key issues related to trust. Moreover, the research problems for further studies on the analyzed issue will also be indicated.

The research presented here identifies key Industry 4.0 technologies that are based on trust.

The review provides a valuable resource for practitioners regarding the critical aspects of implementing Industry 4.0 with respect to trust.

This is the first comprehensive literature review diagnosing research areas, technologies, and directions for future research on trust in Industry 4.0.

This case study is based on Amazon, a global e-commerce giant, which is well-known for its extensive product range and customer-centric approach. The nature of the research is exploratory. This study is purely exploratory in intent. Secondary sources such as reputable newspapers, blogs, websites and trade publications were used to compile the information and write this case.

Amazon India’s innovative Storyboxes packaging initiative has transformed the online shopping experience by integrating compelling stories of sellers into the delivery process. This case study explores the rationale, implementation and impact of the innovative approach on customer engagement and the seller community. By featuring QR codes and images of sellers on the packaging, and directing customers to their narratives on Amazon’s platform, the initiative fosters a deeper connection between buyers and sellers. To enhance customer loyalty and adapt to the dynamic e-commerce landscape, Amazon must navigate the challenge of fostering intimacy through unique initiatives like Storyboxes, while also maintaining the effectiveness and reach of its traditional methods. The solution lies in finding a strategic balance that upholds the brand’s core values and meets evolving customer expectations amidst a competitive market environment.

This case is structured for Undergraduate, Postgraduate, MBA Programs.

The advent of mixed reality technologies in e-commerce presents marketers with numerous challenges in effectively harnessing these technologies to influence desired consumer behaviours. This paper explores the role of mixed reality in facilitating reality congruence, with the goal of enhancing e-service quality and fostering customer engagement. Through an exploration of the affordance actualization theory within the context of human–computer interaction frameworks, the study examines how mixed reality aligns virtual experiences with real-world perceptions, thereby improving service interactions and contributing to a more immersive and engaging customer experience.

A survey-based research methodology was utilized to examine the sample of 346 participants drawn from e-commerce users, focusing on the conceptual model delineating interrelations among various constructs. Data analysis was conducted employing both symmetric (structural equation model) and asymmetric analysis (fuzzy-set qualitative comparative analysis).

E-service quality assumes a central role in enhancing reality congruence, thereby facilitating the development of interconnected trait associations such as trust and commitment, which are conducive to customer engagement. Additionally, the findings confirm the validity of the conceptual model through fsQCA analysis, indicating that reality congruence and trust collectively serve as robust predictors of customer engagement. However, it is noteworthy that reality congruence alone does not offer significant predictive insights into customer engagement outcomes.

Based on the findings, reality congruence, supported by mixed reality (MR), is essential for e-commerce service providers to induce customer engagement. The practical implications of this study suggest the need for e-commerce service providers and integrative technology designers to engage customers in a digitally connected and intensively competitive era.

Examining the phenomenon of user experience in a mixed reality virtual shopping environment to enhance engagement in centennial consumers is an original approach.

This study aims to explore the challenges faced by the tourism and hospitality industry following the COVID-19 pandemic and to propose effective strategies for recovery and resilience of this sector.

The study analysed the challenges encountered by the tourism and hospitality industry post-pandemic and identified key strategies for overcoming these challenges. The study utilised the modified Delphi method to finalise the challenges and employed the Best-Worst Method (BWM) to rank these challenges. Additionally, solution strategies are ranked using the Criteria Importance Through Intercriteria Correlation (CRITIC) method.

The study identified significant challenges faced by the tourism and hospitality industry, highlighting the lack of health and hygiene facilities as the foremost concern, followed by increased operational costs. Moreover, it revealed that attracting millennial travellers emerged as the top priority strategy to mitigate the impact of COVID-19 on this industry.

This research contributes to understanding the challenges faced by the tourism and hospitality industry in the wake of the COVID-19 pandemic. It offers valuable insights into practical strategies for recovery. The findings provide beneficial recommendations for policymakers aiming to revive and support these industries.