The International Journal of Healthcare Management (IJHM): Ten years after rebranding, a bibliometric analysis, and recommendations for improvement

ABSTRACT

The ‘International Journal of Healthcare Management’ replaced the Journal of Management and Marketing in Healthcare since 2012. It marked its 10th anniversary in 2022 since its rebranding. This study undertakes the first bibliometrics analysis of the past 10 years of the International Journal of Healthcare Management covering the 2012–2022 period. Based on metadata of 627 articles published in the journal during this period, this article evaluates the intellectual, contextual, conceptual, and trend of the IJHM. The study's results were exciting in numerous ways: first, there is a steady increase in the number of publications published and cited in the literature. Second, a strong collaborative relationship with key sources in the IJHM was discovered. Third, the conceptual analysis that finds the theme trends of articles in the IJHM using the co-occurrence of keywords as the unit of analysis. The social structures, which concentrated on cooperation and the dynamics and effects of literary contributions, provide insights into future directions for sustaining or planning a worldwide focus for the Journal. Finally, several inexhaustive improvements have been suggested.

KEYWORDS:

• International Journal of Healthcare Management
• IJHM
• bibliometric analysis
• management
• healthcare systems
• healthcare management‌
• healthcare service

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The author(s) reported there is no funding associated with the work featured in this article.

Notes on contributors

Yawo Kobara

Dr. Yawo Kobara is an assistant professor of Operation Management and Statistics at the Odette School of Business, University of Windsor. He holds a doctorate from Western University, ON, London, Canada, specializing in statistics and healthcare system analytics. His research interests include analytics, healthcare service management optimization, stochastic processes, and queueing theory applications.