Background/Introduction: Artificial intelligence (AI) in the healthcare sector is receiving attention from researchers and health professionals. Few previous studies have investigated this topic from a multi-disciplinary perspective, including accounting, business and management, decision sciences and health professions. Methods: The structured literature review with its reliable and replicable research protocol allowed the researchers to extract 288 peer-reviewed papers from Scopus. The authors used qualitative and quantitative variables to analyse authors, journals, keywords, and collaboration networks among researchers. Additionally, the paper benefited from the Bibliometrix R software package. Results: The investigation showed that the literature in this field is emerging. It focuses on health services management, predictive medicine, patient data and diagnostics, and clinical decision-making. The United States, China, and the United Kingdom contributed the highest number of studies. Keyword analysis revealed that AI can support physicians in making a diagnosis, predicting the spread of diseases and customising treatment paths. Conclusions: The literature reveals several AI applications for health services and a stream of research that has not fully been covered. For instance, AI projects require skills and data quality awareness for data-intensive analysis and knowledge-based management. Insights can help researchers and health professionals understand and address future research on AI in the healthcare field.

This paper provides a structured literature review (SLR) on knowledge management (KM), digital transformation (DT), and Industry 4.0, defining these new research streams’ interactions, ties, and interdependencies. Playing an essential role in a progressive discipline, our research summarises the state of the art of the past literature using rigorous methodological approach. The researchers adopt the Scopus database in their analysis and use the Bibliometrix R package. The analysis reveals 761 peer-reviewed English articles. The study shows several research clusters: KM and DT; KM and innovation ecosystems; KM and frontier technologies; and KM, decision-making, and Industry 4.0. Additionally, our paper contributes to identifying a flourishing field of research that has uncovered a previously unknown and exciting link between KM, DT, and the public sector. Finally, the article emphasises the crucial role of DT in KM development, addressing future research perspectives as quantitative and joint academics and practitioners’ analysis.

Purpose: This study aims to offer a bibliometric and coding analysis of blockchain articles published in the accounting, auditing and accountability fields.Design/methodology/approach: The data were collected using the Scopus database and a bibliometric and qualitative coding analysis with the keywords “blockchain” and “accounting” or “auditing” or “accountability.” Of the 514 initial sources, 93 peer-reviewed papers, book chapters and conference proceedings in the areas of business, management and accounting were finally selected. Nonscientific sources such as nonpeer-reviewed books and white papers were excluded.Findings: This study reveals a promising and multidisciplinary field of research dominated by scholars and less by practitioners. Qualitative research, especially discourse analysis, is the most used method among authors. This study gives some useful insights about blockchain's definition and characteristics, business models, processes involved, connection with other technologies and relationships with accounting theories. Among the most interesting insights, the results confirm that technology as an external force can create an intersection among several research areas: accounting, auditing, accountability, business, management, computer science and engineering fields. Finally, in terms of research themes, although blockchain has a clear effect on auditing accounting, the links with the area of accountability are less clear and validated.Originality/value: This study highlights the current state of the field, combining methodological approaches and providing valuable future research insights. Additionally, it is also a starting point for professionals to fully understand blockchain's characteristics and potential with a constructive and systemic approach.