Audit And Exit: A Decade Of Research On Internal Auditor Turnover Through A Bibliometric Lens
Keywords:
bibliometric analysis, auditor, internal audit turnoverAbstract
This study sought to explore the evolution of scholarly research concerning internal audit tenure and auditor turnover through a bibliometric analysis. Publications indexed in the Web of Science database from 2005 to 2024 were systematically analysed to identify research trends and patterns. The descriptive bibliometric analysis facilitated the creation of a comprehensive tabulation of relevant literature, particularly emphasising significant research on auditor turnover. Key variables examined included publication year, leading authors and their affiliations, the top 10 institutions, and dominant research areas. Through the employment of scientific quantitative analysis and statistical methods, the study provided valuable insights aimed at bridging existing gaps in the literature. The findings highlighted the growing academic interest in internal audit tenure, particularly in relation to auditor independence, audit quality, and organisational governance. Furthermore, this study not only delineated the intellectual structure of the field but also identified emerging themes and underexplored areas, thereby establishing a solid foundation for future research in internal auditing and human capital management.
References
Borges, G. A., da Silva, D., & Ladeira, W. J. (2022). Structuring a bibliometric analysis: Definitions and methodologies. RAUSP Management Journal, 57(3), 274–289. https://doi.org/10.1108/RAUSP-08-2021-0170.
Ciger, A. (2020). Audit quality: A bibliometric analysis (1981-2020). Scientific Annals of Economics and Business, 67(4), 473-494.
Dewi, P. K., & Tjahjono, H. K. (2024). Bibliometric analysis of organizational commitment on intention to leave in the banking sector. Multidisciplinary Reviews, 7(1), 2024004-2024004.
Diodato, V. P., & Gellatly, P. (2013). Dictionary of bibliometrics. Routledge.
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070.
Durrah, O., & Chaudhary, M. (2020). Negative behaviors among employees: the impact on the intention to leave work. World Journal of Entrepreneurship, Management and Sustainable Development, 17(1), 106–124. https://doi.org/10.1108/WJEMSD-05-2020-0044.
Firth, L., Mellor, D. J., Moore, K. A., & Loquet, C. (2004). How can managers reduce employee intention to quit? Journal of Managerial Psychology, 19(2), 170–187. https://doi.org/10.1108/02683940410526127.
Glänzel, W. (2003). Bibliometrics as a research field: A course on theory and application of bibliometric
indicators. Course handouts, International Society for Scientometrics and Informetrics, 1–43.
Irawan, D., & Sopiah, S. (2022). SLR and bibliometric analysis on turnover intention. Jurnal Syntax
Fusion, 2(11), 845-857.
Lim, P., & Parker, A. (2020). Employee Turnover. Mentoring Millennials in an Asia Context, Emerald
Publishing Limited, Bingley, 35–43. https://doi.org/10.1108/978-1-78973-483-620201006
Lokman, N., & Mohd Bakri, N. A. (2020). Factors compromising the auditor independence: A study
on the perception of Malaysian publicly listed companies. Journal of Administrative Science, 17(2), 1–19.
Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLOS Medicine, 6(7), e1000097. https://doi.org/10.1371/journal.pmed.1000097.
Narwaria, T., Dwivedi, R., Vashisht, A., Mishra, A., Saxena, P., Gupta, V., & Raghuwanshi, S. (2024). A bibliometric analysis of employee turnover intention among IT sector employees. International Review of Management and Marketing, 14(6), 355-363.
Sanfins, A. I., de Oliveira, F. M., Silva, R. M., & Gomes, G. (2021). Bibliometric studies: Theory and practice. Scientia Plena, 17(10), 100201.
Salinas-Ríos, F. (2022). From statistical bibliography to bibliometrics: Historical evolution and theoretical considerations. Scientometrics, 127(4), 2125–2146. https://doi.org/10.1007/s11192-022-04333-1.
Shkulipa, L. (2021). Evaluation of accounting journals by coverage of accounting topics in 2018–2019. Scientometrics, 126(9), 7251–7327.
Singh, V. K., Singh, P., Karmakar, M., Leta, J., & Mayr, P. (2021). The journal coverage of Web of Science, Scopus and Dimensions: A comparative analysis. Scientometrics, 126(6), 5113–5142.
Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a methodology for developing evidence‐informed management knowledge by means of systematic review. British Journal of Management, 14(3), 207–222. https://doi.org/10.1111/1467-8551.00375.
Wan Ismail, W. A., Hashim, M. H., Tjahjadi, B., & Kamarudin, I. R. (2022). Timeliness of financial
reporting: The examination of auditor tenure and industry specialization. International Journal of Academic Research in Business and Social Sciences, 12(1), 1–15.
Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational
research methods, 18(3), 429-472.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Norizam Ahmad @ Muhammad, Masturah Malik @ Malek, Azura Mohd Noor, Nor Kartini Mohd Rodzi

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.



