P. Pushparaj

Digital transformation is concerned with digitalizing the whole organization and business processes. Despite the increasing recognition of its value, family businesses (FBs) often face significant challenges in their digital transformation journey due to unique structural and cultural attributes. This study employs the Interpretive Structural Modeling (ISM) technique to develop a framework that identifies and categorizes barriers hindering digital transformation in FBs in India. The research draws from extensive literature and expert insights, employing the ISM methodology to establish the interrelationships among these barriers. The MICMAC (Matriced Impacts Croisés Multiplication Appliquée à un Classement) approach categorizes these barriers by their influence and dependence. By identifying 12 critical barriers, the study aims to provide practical guidance for managers of FBs to prioritize digitalization efforts and streamline their digital transformation process. Further, this research reveals that the primary barriers to digital transformation in FBs are employees' resistance to change and data privacy and security concerns. The implications for research, practice, and society are discussed to bridge the gap between theory and practice and support effective digital transformation strategies for FBs.

Social media influencers (SMIs) have a significant impact on consumer decisions, and research in this area comprises a substantial portion of the literature. Despite marketing firms' attention to SMIs, a comprehensive evaluation of their impact on the consumer decision literature is lacking. Therefore, this study offers a comprehensive and systematic analysis of the impact of social media influencers on consumer decisions. Using a framework‐based approach, the TCM framework provides a structured exploration of the theories, contexts, and methods found in 106 relevant articles. Concurrently, the ADO framework examines the determinants of consumers' decisions. This review identifies 62 distinct antecedents categorized into seven broad groups and explores why specific factors positively or negatively affect purchase decisions and outcomes. This study highlights key gaps in the current influencer marketing literature and provides insights for future research and practical implications in the fields of psychology, marketing, and consumer behavior.