This study presents a comprehensive bibliometric analysis of the Journal of Emerging Technologies in Accounting (JETA) from 2008 to 2022, the period since its indexing in Web of Science, focusing on authorship patterns, dominant topics, and citation trends. The findings highlight a significant concentration of authorship within JETA, suggesting an opportunity for enhancing diversity and introducing fresh perspectives through expanded authorial engagement. Acknowledging JETA’s significant contributions to blockchain, text analysis/NLP, and AI, this study proposes an exploration into broader, interdisciplinary domains to further enrich the journal’s thematic diversity, in alignment with global academic trends. The study further recognizes an opportunity for JETA to bolster its global impact by inviting contributions from underrepresented regions, such as South America, Australia, and Africa. Additionally, the analysis reveals a commendable trend in JETA toward collaborative and potentially interdisciplinary research, implying that fostering such collaborations could yield innovative research methodologies in the field.

Data Availability: The data supporting the findings of this study can be provided upon request by contacting Batuhan Güvemli.

JEL Classifications: M40; M41; M42; M49.

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