Artificial intelligence (AI) is transforming the internationalisation activities of multinational corporations (MNCs) through enhanced operational efficiencies and optimised decision-making; though the moderating factors influencing its impact on export-led internationalisation remain underexplored. This research adopts a Resource-Based View (RBV) approach to examine the complex relationship between AI capabilities and the export performance of Indian MNCs, with cultural distance serving as a moderating factor, analysing how AI adoption influences export intensity, trade expansion, and market penetration strategies. Data from a 2024 survey of 449 Indian exporters across various industries, analysed using Structural Equation Modelling, reveal that AI capabilities positively impact export performance particularly in markets characterised by high institutional uncertainty and complex regulatory environments. Moreover, cultural distance acts as a significant moderator, amplifying the role of AI in navigating consumer preferences, language barriers, and localised business practices. AI-powered analytics help firms better understand foreign markets, adapt to cultural differences, and optimise international operations. This study advances the scholarly understanding and contributes to internationalisation theory by integrating AI-driven trade strategies with institutional and cultural moderating factors and offers a structured framework for corporate managers and policymakers to formulate AI-based strategic decisions that leverage AI to mitigate trade-related uncertainties, improve their compliance with international regulations, and strengthen global trade competitiveness in emerging economies.

The research concentrates on determining the degree of internationalization of born global SMEs, believing that some push factors determine internationalization, pull factors, and internal firm-specific factors. Three important factors were found in looking into the causes of internationalization in born global firms: push, pull, and internal firm-specific factors. The study used a survey instrument with a sample of 280 manufacturing-related SMEs chosen from manufacturing clusters in India. A metric called the “index of internationalization” is used to gauge how internationalization in SMEs takes shape. The results demonstrated that internal firm-specific factors influence the internationalization of firms relatively highly compared to push and pull factors. The results unequivocally demonstrate that developing economies have distinct factors that cause internationalization, opening up new avenues for further study. The research aids in the identification of the elements that will enhance early internationalization and tries to draw the attention of young entrepreneurs. This research also helps prioritize the factors responsible for early internationalization. These findings are pertinent for the practitioners and researchers working in this area. This research is helpful for start-ups looking for global opportunities; this research categorizes factors significant in the global journey of the born global firms.

This research paper aims to enhance export intensity and international market competitiveness through logistics performance at the firm level. The effects of customs efficiency and infrastructure on exports, logistics performance, the role of logistics adoption components in enhancing competitiveness, and the impact of competitiveness on corporate exports were also analyzed. The study was based on data collected from export-oriented enterprise managers; the survey was disseminated to managers responsible for exports. A total of 224 replies were gathered, serving as the foundation for the application of the structural equation modeling (SEM) technique for this research. Physical infrastructure was identified as a crucial element in enhancing exports, while the effect of logistics quality on competitiveness levels was significant. The findings further suggest that enhancing the competitiveness of firms has favorable outcomes in boosting their exports. Research examining trade logistics based on survey data is scarce; this gap was addressed through this research. This study presents the first use of the SEM technique in evaluating the impact of logistical efficiency on the export capabilities and competitiveness of individual firms.

This paper explores the relationship between entrepreneurial orientation (EO), entrepreneurial competencies (EC), and international performance of born global firms (BGFs). These firms from their inception, view the world as their marketplace and typically engage in international business activities. Given the increasingly globalized business environment, understanding the factors that contribute to their success is vital. This study investigates whether entrepreneurial orientation enhances the international performance of BGFs and how entrepreneurial competencies mediate this relationship. By reviewing the literature, research gaps in the context of born global firms were identified, a conceptual framework was also proposed. For the assessment of research constructs of the conceptual model, the data was collected from 201 senior managers/CEOs of these born global firms. The scales for the assessment of these measures were developed and refined by utilising robust research methods. Analysis was carried out in three stages, assessment of normality of data, assessment of measurement and structural model. On the basis of the results obtained implications for research and practice were presented along with study limitations. The paper offer insights for both practitioners and academics on how entrepreneurial orientation and competencies can foster global competitiveness of these organisations.