Penelitian ini bertujuan untuk menguji knowledge sharing terhadap employee service quality dan customer satisfaction pada industri perhotelan di Sumatera, Indonesia. Therefore, this paper summarises the bibliometric reviews on AI and BDA in the fields of Business, Engineering, Healthcare, Sustainable Operations, and Hospitality Tourism and serves as a starting point for novice and experienced researchers interested in these topics. The keyword co-occurrence in the past bibliometric analyses indicates that BDA, AI, Machine Learning, Deep Learning, NLP, Fuzzy Logic, and Expert Systems will remain conspicuous research areas in these five diverse clusters of domain areas. The results reveal a substantial increase in bibliometric reviews in five clusters of disciplines: (a) Business & Management, (b) Engineering and Construction, (c) Healthcare, (d) Sustainable Operations & I4.0, and (e) Tourism and Hospitality Studies, the majority of which investigate the applications and use cases of AI and BDA to address real-world problems in the field. The most productive institution was Symbiosis International University, India (32 documents 4.5%). The USA was the most influential nation (101 documents 5405 citations), while China was the most productive nation (204 documents 2371 citations). Multiple software and Database Analysers were used to investigate the data and illustrate the most active scientific bibliometric indicators such as authors and co-authors, citations, co-citations, countries, institutions, journal sources, and subject areas. The Scopus database returned 711 documents published in journals of different disciplines from 59 countries, averaging 17.9 citations per year. We pulled bibliometric review papers from the Scopus Q1 and Q2 journal database published between 20.
We summarise 711 bibliometric articles on AI & its subsets and BDA published in multiple fields to identify academic disciplines with significant research contributions. The technique of bibliometric review has been extensively applied to the AI and BDA literature to map out existing scholarships. Academicians and practitioners have recently begun to accord Artificial Intelligence (AI) and Big Data Analytics (BDA) significant consideration when exploring emerging research trends in different fields.
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