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The study aims to examine the relation between corporate reputation and a firm’s systematic risk for top performing Indian companies.

The paper uses Panel regression analysis of the data from the top 500 listed Indian companies constituting the BSE500 index over a 15-year period from 1 April 2002–31 March 2017. Firm age and shareholders’ return have been used as proxy of firm reputation. This paper use signalling theory to explain the impact of corporate reputation on market risk where proxy for the corporate reputation is seen as an information available to the market.

The findings show a significant positive impact of corporate reputation on systematic risk, indicating that a firm’s systematic risk increases with its reputation. Specifically, the findings suggest that reputed firms experience increased levels of market risk and scrutiny from stakeholders.

The results will help corporate managers from developing economies where corporate reputation plays an important role in determining the investment behaviour.

This study deploys two broad approaches to measure reputation and discern its impact on risk, such as reputation among financial stakeholders and reputation among public stakeholders on market risk, specifically on fast emerging Indian market.

This paper systematically analyzes the literature on environmental, social and governance (ESG). It explores the antecedents, decisions and outcomes (ADO) influencing ESG investments; theories used in the literature; publication years, geographical locations and journals of publication of ESG-related articles; notable gaps in research on ESG investments; theoretical and managerial implications and prospective research avenues within the ESG field. All ESG components are interconnected with the United Nations’ Sustainable Development Goals (SDGs).

The PRISMA framework was employed to screen articles from the Scopus database. A total of 386 articles spanning 2011–2024 were included. The search terms used to screen the articles for inclusion were “sustainable finance,” “ESG,” “environment, social, corporate governance,” “green finance,” “green bond,” “social bond,” “blue bond,” “social finance” and “corporate social responsibility.”

The findings indicate that organizations utilize green bonds, blue bonds and green loans to mitigate environmental concerns. To address social issues, companies issue social bonds and sustainable bonds and engage in socially responsible investing. To address concerns about corporate governance, companies emphasize corporate social responsibility and intellectual capital.

The findings can be used to inform policymakers on the implementation of comprehensive regulatory frameworks in the realm of ESG. Tax benefits and subsidies should be extended to firms fostering ESG practices.

This study offers a comprehensive synthesis of the ESG literature by examining the ADO framework, which has not been systematically applied to ESG investments before. It integrates diverse components of ESG investments with the United Nations’ SDGs, providing a unique perspective on how these investments align with global sustainability objectives.

The purpose of the current study is to contribute to the existing body of knowledge by understanding the rationale, benefits and consequences of taxing cryptocurrency transactions. This study investigates where taxation and cryptocurrencies meet from an investment standpoint.

A comprehensive bibliometric study was conducted to offer a thorough examination of the published literature in the last decade pertaining to the intersection of cryptocurrencies and taxation across nations. This study provides an analysis of citation patterns, prominent authors, publication trends and thematic clusters by applying VOSviewer and R-studio.

The results indicate a tendency in the existing literature to address the taxes concerns associated with cryptocurrency transactions. The findings demonstrate that cryptocurrency taxation discrepancies across countries create tax evasion, transaction risks and market uncertainties.

The report provides a theoretical framework for policymakers and financial experts to create a global cryptocurrency tax regime. The study emphasizes the need to incorporate technology start-ups to mitigate public safety and security risks, strengthen financial systems and provide regulators with necessary supervision.

The study provides an extensive on taxation issues such as tax evasion and money laundering in the context of cryptocurrency. There has been no prior effort to explore this research domain so deeply and provide comprehensive details on cryptocurrency.

Artificial Intelligence (AI) is a branch of computer science, and Chatbot relies on the technology of AI. Chatbot has an AI feature which can be used for many messaging applications. A chatbot has a very advanced and promising interaction between humans and machines. They are a representative of systematic evolution of a question-answering natural language processing (NLP). Today, India has over 4.6 crores investor accounts with Central Depository Services (India) Limited (CDSL) who are actively investing in stocks, mutual funds, insurance and banking schemes. Chatbot plays an important role today in investor awareness and grievance resolution. Chatbots offer several advantages like standardised operations, higher efficiency and time saving but it has several disadvantages such as lack of human touch and inability to understand fragmented or grammatically incorrect sentences. There are several objections as it may contribute to further unemployment in many sectors. Overall analysis indicates that Chatbot application has a lot of potential in the investment sector in country like India.

Technological innovations are rapidly transforming service frontlines, resulting in increasingly complex service touchpoints. These touchpoints place greater demands on frontline employees (FLEs) to deliver a positive customer experience. Despite the considerable extant body of knowledge on FLE competencies, the literature on frameworks for managing the complexity of contemporary frontlines from the FLE’s perspective is sparse. This paper aims to fill this critical gap by developing a framework that enables FLEs to deliver positive moments of truth (MOTs) while ensuring the well-being of all actors involved.

This paper uses a conceptual approach rooted in the organizational mindfulness and individual mindfulness literature as the theoretical lens. This is complemented by a comprehensive review of the FLE skills literature supported by marketplace examples to illustrate the optimal use of the said skills.

This paper proposes a conceptual framework of mindfulness orientation which delineates how FLE competencies underpinned by a set of key skills can deliver positive MOTs and actor well-being.

The research is conceptual in nature and does not contain validation through empirical data.

This comprehensive skill set provides a clear roadmap for firms in both recruitment and developing training for their FLEs, thus contributing to practice.

Firstly, we present a conceptual framework of mindfulness, combining organizational mindfulness and individual mindfulness that will enable employees to help facilitate the creation of positive MOTs. Secondly, we develop a comprehensive set of employee skills that underpin the mindfulness orientation framework.

The present study aims to examine the households’ attitudes and intentions to adopt an indoor air purifier against the smog crisis in India by using a comprehensive theoretical framework based on the combination of the Protective Action Decision Model (PADM) and the Theory of Planned Behavior (TPB). The United Nations Sustainable Development Goals (SDGs) 2030 also emphasized ensuring a healthy and safe life, especially by achieving SDG-3, SDG-11 and SDG-13.

Using purposive sampling, the data were collected through a survey questionnaire distributed to 382 households, and study hypotheses were assessed by using partial least squares structural equation modeling employing SmartPLS.

The results revealed that mental health risk perception (MHRP) was the most influential determinant of households’ attitudes toward adopting air purifiers, followed by smog knowledge, physical health risk perception (PHRP), information seeking and product knowledge. Notably, results revealed that households’ attitude is a leading determinant of their adoption intention toward the air purifier compared to subjective norms (SN) and perceived behavioral control (PBC).

To the best of the authors’ knowledge, the present study is the first to provide new insights into an individual’s protective behavior response toward ecological hazards by examining the households’ adoption intention toward the air purifier against the smog crisis using PADM and TPB model inclusively. In addition, the present study analyzes the impact of both PHRP and MHRP on individuals’ protective behavior separately. Also, this study provides theoretical contributions and important practical implications for the government, manufacturers and air purifier sellers.

This study aims to investigate the evolution of cybersecurity in autonomous vehicles over the past decade, focusing on influential publications, leading authors, key themes and emerging research trends.

A systematic literature review was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses approach, with data extracted from The Lens database and analyzed using VOSviewer and Bibliometrix. This study provides a quantitative overview of academic trends from 2014 to 2023. The analysis reveals significant growth in scientific production, predominantly driven by the USA, China and the UK. Central themes include network security, cyberattack prevention and regulatory frameworks.

The findings emphasize that cybersecurity, artificial intelligence (AI) and regulation are critical for developing secure and reliable vehicular systems.

Future research should focus on enhancing security in vehicle-to-everything, vehicle-to-vehicle and vehicle-to-infrastructure communications by improving protocols and integrating AI.

Key themes identified include trust in security, reliability and user experience.

The analysis highlights future research directions, particularly the integration of AI with sustainable development and autonomous transportation policies.

This study provides a quantitative overview of academic trends from 2014 to 2023 regarding the theme of cybersecurity and self-driving cars.