Telemedicine offers transformative solutions for healthcare delivery, particularly in bridging geographical barriers and enhancing patient care. Nevertheless, its adoption by physicians is intricate, driven by diverse factors that require systematic understanding. This systematic review aims to identify and classify the factors influencing physicians’ adoption of telemedicine. From a collection of 2098 articles sourced from Web of Science and Scopus databases, 59 studies met the predetermined criteria and were meticulously assessed. The salient factors from these chosen papers were segmented into distinct categories: psychological and behavioral factors, technological factors, social and cultural factors, security and privacy factors, conditional factors, quality factors, healthcare-related factors, and inhibiting factors. Building on this classification, we proposed a comprehensive framework for telemedicine adoption tailored to physicians. This framework endeavors to act as a scaffold for subsequent empirical investigations. The taxonomy of the factors also aided in offering numerous research agendas to pave the way for more exhaustive studies into telemedicine adoption among medical professionals. The insights procured serve not only to deepen theoretical comprehension but also to present pragmatic guidelines for practitioners, service providers, application developers, and decision-makers.

The rapid emergence of Generative Artificial Intelligence (GAI) heralds a significant shift, opening new frontiers in how education is delivered. This groundbreaking wave of technological advancement is poised to redefine traditional learning, promising to enhance the educational landscape with unprecedented levels of personalized learning and accessibility. Despite GAI’s progressive infiltration into various educational strata, limited empirical research exists on its impact on students’ learning performance. Drawing on the Theory of Planned Behavior (TPB) and Behavioral Reasoning Theory (BRT), this study investigates the determinants affecting students’ use of ChatGPT and its influence on learning performance. The data were collected from 357 university students and were analyzed using the PLS-SEM technique. The results supported the role of ChatGPT in positively affecting students’ learning performance. In addition, the results showed that reasons for and against adoption are pivotal in shaping students’ attitudes. ChatGPT use is found to be significantly affected by attitudes, subjective norms, and perceived behavioral control. Besides the theoretical contributions, the findings offer various implications for stakeholders and underscore the necessity for educational institutions to foster a conducive environment for GAI adoption, addressing ethical and technical concerns to optimize learning experiences.

The Metaverse holds immense potential for individuals, organizations, and society, providing immersive and innovative experiences. However, its adoption is a complex process influenced by various factors yet to be thoroughly understood. Therefore, this systematic review aims to identify and classify the drivers and barriers affecting Metaverse adoption. Of the 279 papers gathered from the Web of Science and Scopus databases, 29 studies fulfilled the eligibility requirements and underwent a detailed analysis. The identified factors in the selected studies were classified into distinct categories, including motivational and psychological factors, social factors, technological and Metaverse-related characteristics, learning experience-related factors, inhibitors, privacy and security factors, conditional factors, quality factors, economic-related factors, and personalization and immersion-related factors. We have then proposed a comprehensive Metaverse adoption framework based on this taxonomy to guide future empirical studies. We have also suggested several agendas as a road map for future research on Metaverse adoption. Based on these findings, the review presents several theoretical contributions and practical implications for Metaverse developers and marketers.