Brand transgression occurs when a brand’s action violates consumer expectations or prevailing societal values, potentially damaging consumer-brand relationships and diluting brand equity. Although scholarly attention to this domain has increased, the literature remains fragmented, offering no consolidated view of the field’s development. To address this gap, this study systematically reviews 269 publications on brand transgression indexed in Scopus and Web of Science from 2015 to 2025. Through performance analysis, co-citation analysis and keyword co-occurrence mapping, we identify key knowledge foundations, major research themes and emerging research directions. The findings provide managers with insights into proactive and preventive strategies to address brand transgression.
This study aims to conduct a comprehensive bibliometric analysis of the intellectual and social structure of chatbots in e-commerce and outline future research directions using the theory, context, characteristics and methodology framework. The study utilized the SPAR-4 framework for systematic performance analysis, review and analyzing 1,165 journal articles from 1996 to 2023 using the Scopus database. The analysis indicated that chatbot integration in business studies has grown significantly in the past 20 years. Co-citation analysis reveals four prominent research themes. The co-authorship network indicated a strong e-commerce chatbot association in nations with less geographical, historical and cultural proximity, such as the USA and China.
Corporate social responsibility and stakeholder engagement have emerged as critical areas of research in business and management studies, reflecting the growing emphasis on ethical business practices, sustainability and corporate governance. This study provides a comprehensive bibliometric analysis of corporate social responsibility and stakeholder engagement research, examining 606 articles published in Scopus and Web of Science between 2004 and 2025. The analysis uncovers publication patterns, influential authors, top journals and citation networks, offering a systematic view of knowledge progression in the field. Further, through co-word analysis and thematic mapping, the study identifies core themes, highlighting emerging topics and outlining future directions.
Robo-advisory services have revolutionized the investment landscape by leveraging advanced technology to provide automated and personalized investment guidance to investors. We explore key research themes addressed in the literature on robo-advisory and identify research avenues that can further advance understanding of this field. We analyzed 555 articles and used latent Dirichlet allocation, a text-mining approach to structural topic modelling, using Python. This resulted in 15 topics, which were further classified into different clusters and themes to identify the potential research areas. Our research provides sustainable insights and solutions that support researchers, robo-advisors and regulators in maximizing the benefits of robo-advisory services.
A remote village in Goa was facing economic challenges due to a mining ban, despite its rich biodiversity, ethnic culture and potential for tourism. Environmentalist Parag Rangnekar recognized the potential for rural tourism and, with the Mineral Social Foundation of Goa, spearheaded a sustainable project called ‘Aangan’. Initially successful, it empowered the community through participatory tourism and homestay initiatives. However, internal conflicts, government policies and the COVID-19 pandemic led to a collapse by 2021. Now, Parag is at a crossroads, seeking ways to reignite community involvement and overcome challenges to revitalize Aangan’s success.
