Purpose: The purpose of this study was to investigate how investors view cryptocurrency and what part block chains play in the digital currency industry. The primary objective of this research is to understand how investors feel about cryptocurrency. All throughout the globe, people are talking about cryptocurrency. Cryptocurrency refers to digital money that uses a decentralized system and blockchain technology. Methodology: The study had 225 participants. A method known as convenience sampling has been employed. In order to determine whether the parameters are statistically significant, the "software package Smart-PLS-3" uses a bootstrapping method with 5,000 samples to accomplish "Structure Equation Modelling (SEM)", Trustworthiness, Convergent and Discriminate Validity, and model fitness. Findings: This discovery explains the substantial impact of digital bitcoin on investors. The article continues by stating that the widespread adoption of bitcoin as a medium of exchange is greatly affected by aspects such as Trustworthiness, societal significance, and efficiency. However, the widespread use of cryptocurrencies as a medium of exchange is unaffected by issues like government oversight, security concerns, and danger. Originality: This study sheds light on how investors feel about cryptocurrency, which, as far as the researchers are aware, has never been revealed in any previous study. For companies and investors considering India as a potential market, the data produced might provide useful practical information. Trustworthiness of sources, social relevance, Achievement, government control, security features, and danger are the six components of cryptocurrency that this study remarkably identifies.

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.

This study aims to examine the impact of e-WOM on customer purchase intentions in Facebook fan pages using theories of trust, value co-creation and brand attitude. The present research has set out to explore this emerging domain of study and has thus developed & tested propositions which attempt to establish a relationship between e-WOM and customer‘s purchase intentions. A deeper understanding of this possible association is obtained by studying the mediating roles of Trust, Value Co-Creation, Brand Image and Brand Attitude. The context for exploring this phenomenon is chosen to be the fan pages of smartphone brands on Facebook. The study involved conducting a sample survey of 490 respondents, comprising of both male and female, who belong to 5 smartphone brands Facebook fan pages–Samsung, Moto G, Lenovo, MI and ASUS are considered for the study. Out of which sample of 100 each has been targeted individually The findings suggested that e-WOM significantly predicts the purchase intentions of the customers of a specific product and considerable impacted on the purchase decision. The findings of the study also reveal that customer ‘s trust beliefs, perceived value co-creation, brand image and brand attitude partially mediate in between relationships of e-WOM and purchase intention The actual presence of different types of consumer electronics brands on the social media, more prominently, the smartphones, which undoubtedly are the most ubiquitous product of this segment. In fact, this indicates that presence on social media is a well- thought organizational strategy developed by companies to gain partial control over the customer ‘s decision- making process by establishing a close connect with the customers for a long period. This consequence will significantly impact the decision-making process of marketers or practitioners in relation to their marketing tactics. This research also indicates that marketers could devise more effective methods for distributing marketing content through social networking sites, while corporations can cultivate favorable electronic word-of-mouth for their products or services. Through the implementation of social media marketing strategies, companies can increase their sales volume and generate higher revenue. The study examined the role of trust, virtual community participation, and desire to purchase as mediators on smartphone brand fan sites on Facebook. It was observed that these factors had a partial influence on customer purchase intention.

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.

Purpose: The COVID-19 pandemic has led to a surge in e-commerce as millions of people were forced to stay at home and adopt digital channels for their purchases to avoid crowded supermarkets. It made the whole world look towards e-commerce as a one-stop solution for keeping markets alive. However, it came as an opportunity for digital fraudsters as a huge number of digital frauds were reported during this pandemic. Such incidents raised questions about online trust-related issues. Fake websites, insecure payment mechanisms, data theft, privacy breach, product reliability, etc., are a few of the reasons why many people are still not confident about using e-commerce platforms. When customers cannot physically touch, feel, and see the products, it becomes even more suspicious and raises serious uncertainty about the quality of the promised product and transaction setup in the e-commerce framework. Design/Methodology/Approch: In this study, primary data was collected through structured questionnaires from e-commerce website users belonging to Generation Z and analyzed using Structural Equation Modelling and Path Analysis in IBM SPSS AMOS version 24. Findings: Online Security, Online Privacy, and Website appearance were studied and found to have a significant positive impact on online trust. Online trust was also found to be a predictor of purchase intention. Online trust was also found to act as a full mediator between online security and purchase intention, online privacy, and purchase intention, and as a partial mediator between website appearance and purchase intention. Research, Practical & Social Implications: The cross-sectional nature of this study makes it difficult for making inferences about causal relationships so new studies can adopt and check the utility of a longitudinal approach in this area. Furthermore, the data collected using convenience sampling had all young generation respondents, mostly college/university students. This current study takes only three antecedents of online trust with reference to a young generation; an exploratory study is needed here to find out new possible antecedents of developing online trust. Moreover, the appearance of the website is altogether a vast area to investigate for further development; very limited dimensions of the appearance of e-commerce websites are covered in this study.

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.