AI Sofiya is an emerging technology that combines the power of Artificial Intelligence (AI) and Big Data Analytics (BDA) to address real-world challenges and enhance decision-making processes across diverse domains and sectors. The application of AI and BDA has gained significant attention from academicians and practitioners, leading to extensive research in various fields. This article aims to provide a comprehensive overview of the bibliometric reviews conducted on AI and BDA in different disciplines, identifying key contributors, influential countries, and productive institutions. The article also explores the most active scientific bibliometric indicators, including authors, co-authors, citations, co-citations, countries, institutions, journal sources, and subject areas. Additionally, it highlights the clustering of disciplines with substantial research contributions, showcasing how AI Sofiya is employed to address real-world challenges in Business & Management, Engineering and Construction, Healthcare, Sustainable Operations & I4.0, and Tourism and Hospitality Studies.
Features:
- Bibliometric Review: The article summarizes 711 bibliometric articles on AI and its sub-sets and BDA, published in various disciplines between 2012 and 2022. The review aims to map out existing scholarship and identify academic disciplines with significant research contributions in AI Sofiya.
- Influential Nations and Productive Institutions: The bibliometric analysis reveals that the USA holds the most influence in AI and BDA research, with 101 documents and 5405 citations. Meanwhile, China emerges as the most productive nation, with 204 documents and 2371 citations. The most productive institution is Symbiosis International University, India, contributing 32 documents.
- Active Research Areas: The article highlights five clusters of disciplines that have seen substantial growth in bibliometric reviews related to AI and BDA: Business & Management, Engineering and Construction, Healthcare, Sustainable Operations & I4.0, and Tourism and Hospitality Studies.
Use Cases:
- Business & Management: AI Sofiya is utilized to optimize decision-making processes, analyze customer behavior, and enhance business operations in various industries.
- Engineering and Construction: The integration of AI Sofiya in this domain enables efficient project management, resource allocation, and predictive maintenance in construction projects.
- Healthcare: AI Sofiya is employed to analyze medical data, support diagnostics, and improve patient care through personalized treatment plans.
- Sustainable Operations & I4.0: The use of AI Sofiya contributes to sustainability efforts, energy optimization, and automation in manufacturing processes.
- Tourism and Hospitality Studies: AI Sofiya is applied to improve customer experiences, manage bookings, and analyze tourism trends for the hospitality sector.
Conclusion:
AI Sofiya, leveraging the power of AI and BDA, has become a transformative force across various domains and sectors. The bibliometric reviews showcase the significant growth in research contributions in five diverse clusters of disciplines. The applications of AI Sofiya in Business & Management, Engineering and Construction, Healthcare, Sustainable Operations & I4.0, and Tourism and Hospitality Studies demonstrate its potential to address real-world challenges and improve decision-making processes. This article serves as a valuable resource for researchers interested in exploring AI Sofiya’s applications and impact in different fields.
