The primary aim of this research is to thoroughly examine the determinants that influence customers’ intention towards embracing FinTech products and services, thereby enriching our understanding of the adoption and utilization trends within the FinTech industry in the aftermath of the COVID-19 pandemic. This is quantitative research in the context of India covering five major tech-savvy cities—Mumbai, Bengaluru, New Delhi, Pune, and Chennai. Using structural equation modeling (SEM), the mediation effect of Perceived Trust was examined in order to see the relationship between the retrieved constructs and their attributes. Predominantly, the data delve into the utilization of financial technology and the prevailing embrace of this transformative innovation by contemporary Indian society. From the findings, it has emerged that the three factors influencing Customer Intention to Adopt FinTech products are “Perceived Security”, “Perceived Risks”, and “Perceived Trust”. The significance of Perceived Security in the realm of defending against cyber risks and safeguarding personal information has been discovered to have a profound effect on individuals’ inclination to embrace FinTech. Likewise, acknowledging the potential risks and uncertainties that come with FinTech has proven to have a favorable impact on the intention to adopt. Notably, the perception of trust, which encompasses aspects such as the credibility of the company and the user-friendly nature of the technology, has been identified as a significant driver towards adoption.

This study examines the impact of ecological awareness on Electric Vehicle (EV) acceptance and usage in light of the ecosystem advantages, and its changing focus from “traditionally perceived usefulness” to “green perceived usefulness”. The purpose of this study is to analyze public perceptions of autonomous driving and automotive tracking systems. Furthermore, it helps to comprehend why people adopt new technology and offers some recommendations for the global growth of EVs. We used factor analysis considering six distinct factors including Charging Time, Innovation, Perceived Quality, Perceived Affordability, Awareness, and Comfort. Our results indicate that elements including consumer loyalty, power efficiency, charging system, and consumer acceptance have a moderate effect, indicating that these factors do play an important role in influencing consumers’ behaviors when it comes to adopting EVs.

Purpose-Artificial intelligence (AI) is growing at an exponential rate in healthcare, and a variety of applications have been created to help solve some of the biggest challenges facing health organizations. Some of these applications include artificial intelligence in diagnostics and treatment planning, while others are designed to improve communication and collaboration between health professionals. Virtual assistants that are powered by AI in healthcare applications can help people to live healthier lives, learn more about topics they're interested in, and change their behavior if needed. Artificial intelligence (AI) is a software that emulates human psychological development. This is being done through the use of healthcare information and advanced analytics techniques. This is having a major impact on healthcare, as it allows for better care for patients. Artificial intelligence (AI) is used to help doctors make better predictions about the health of patients who are having surgeries. This helps to reduce the amount of time needed for them to make a decision about what to do next. This information is used to improve the quality of care for patients. This includes techniques like natural language processing for unstructured data, current deep learning, and machine learning algorithms for structured data, like support vector machines and neural networks. AI is used for illnesses like cardiology, neurology, and cancer. Health authorities need to be aware of the current state of AI technologies and the potential applications they could be used for in the healthcare industry. This would allow for better value-based care to be achieved. Design/Methodology-For the research work, five cities were chosen, Delhi, Mumbai, Kolkata, Chennai, and Hyderabad. These cities were selected as a study focus primarily because these cities attract both international and local visitors because of their highly qualified doctors and excellent medical facilities that use AI technology. These cities are home to top-notch healthcare facilities, super-specialty hospitals, and research and diagnostic centers, making them the fastest-growing locations for receiving medical care. In order to conduct this research study, structured questionnaires were used. The data was gathered using the convenience sampling method. The sample size for the data collection was 500, and it included men and women from a range of age groups, economic levels, and occupational backgrounds. Findings-From the study, four factors emerged which have been labelled as "Perceived awareness", "Perceived accuracy", "Anonymity", and "Convenience". Furthermore, it has been found that factors "Perceived awareness", "Perceived accuracy" and "Convenience" have a significant influence on Consumer Trust. This study examines the acceptability, potential benefits, and challenges of using artificial intelligence (AI) in healthcare, as well as the potential implications on the healthcare system as a whole.