Mohit Verma

The integration of Environmental, Social, and Governance (ESG) practices in family firms is gaining importance, yet research in this domain remains theoretically fragmented and empirically inconclusive. This study presents a multi‐method systematic review of 73 peer‐reviewed articles, integrating bibliometric analysis with the Theory, Context, Characteristics, and Methodology (TCCM) framework and a nomological network to synthesise the intellectual landscape of ESG research in family firms. Five thematic clusters are identified‐corporate governance, socioemotional wealth, ESG disclosure, sustainability performance, financial performance, and ownership composition‐reflecting a broader disciplinary shift from governance‐centric to sustainability‐oriented inquiry. Socioemotional wealth and stewardship theory emerge as the dominant theoretical lenses explaining ESG adoption in family firms. The findings carry meaningful implications for investors, policymakers, and family firm executives seeking to align ownership values with contemporary sustainability demands. This study offers the first comprehensive synthesis of this intersection and charts a structured agenda for future research.

Purpose: Experiential and sustainable tourism is growing in popularity, and there is an increasing need to understand how cultural marketing strategies are manifested in memorable tourism experiences, especially in resource-constrained destinations. This paper aims to achieve the aforementioned objective. Design/methodology/approach: The current study examines the mediating effect of some sustainable programs in nature-based tourism that inform the effect of Social Culture Marketing (SCM) on memorable wine tourism experiences in Malawi. Data were collected using a quantitative cross-sectional design approach, and analyzed with the help of mediation modelling to determine the relationships among the constructs both directly and indirectly, based on 375 tourists' responses. Findings: The outcomes show that SCM has a constructive influence on the memorable experience but this can be substantially reinforced by sustainable marketing initiatives, which can be identified as the main mechanism in obtaining an experiential outcome. Research limitations/implications: Overall, the study contributes to tourism theory by assimilating the resource and capability-based perspectives of experience formation. Practical implications: The study offers context-specific knowledge on how low-income destinations can maximize the utilization of cultural and sustainability approaches to become more competitive. Social implications: The examination offers context-specific knowledge on how low-income destinations can maximize the utilization of cultural and sustainability approaches to become more competitive. Originality/value: The study contributes to tourism theory by assimilating the resource- and capability-based perspectives of experience formation, and offers context-specific knowledge on how low-income destinations can maximize the utilization of cultural and sustainability approaches to become more competitive.

As behavioral finance explores market imperfections and investor rationality in the absence of seamless access to market information, artificial intelligence emerges as a transformative force in financial decision-making. AI enhances market operations by offering a platform for real-time, accurate, and transparent access to information, thereby influencing investor perception. With its ability to conduct in-depth fundamental and technical analyses, AI plays a pivotal role in identifying stocks, assessing risks, managing funds, and optimizing portfolios. Additionally, AI-driven work arrangements are reshaping financial decision-making by enabling automated trading, algorithmic investment strategies, and data-driven market predictions. As AI fosters greater investor participation and efficiency, it addresses market inefficiencies while making investors more informed and rational participants in equity markets. This study examines the intersection of AI and investor perception in equity markets through a bibliometric and thematic analysis.