Document Type : Original Research


1 Faculty of Education and Professional Studies, School of Business, Nipissing University, Ontario, Canada

2 Windsor-Essex Catholic District School Board, Ontario, Canada


This study examines the underexplored link between auditor well-being and audit quality within the auditing profession, an area of critical importance for maintaining the integrity and effectiveness of audit processes. Despite extensive research on various determinants of audit quality, such as organizational factors, auditor competency, and technological support, there remains a significant gap in understanding the impact of auditor well-being, particularly as measured by established psychological scales like the Warwick-Edinburgh Mental Well-being Scale (WEMWBS). This research employs a quantitative approach, utilizing a structured survey instrument to collect data from 360 auditors across international accounting firms in three southern African countries. Through confirmatory factor analysis and structural equation modelling, this study provides empirical evidence supporting the positive relationship between auditor well-being and audit quality. The findings highlight the crucial role of auditor well-being in enhancing audit performance, underscoring the need for auditing firms to prioritize supportive work environments that foster auditor well-being. The implications of this research extend to organizational strategies and interventions aimed at improving auditor well-being, thereby contributing to the enhancement of audit quality and the overall integrity of the auditing profession.


Main Subjects


©2024 The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, as long as the original authors and source are cited. No permission is required from the authors or the publishers.

Bakker, A. B., & Demerouti, E. (2007). The job demands‐resources model: State of the art. Journal of managerial psychology, 22(3), 309-328.
Bakker, A. B., & Demerouti, E. (2008). Towards a model of work engagement. Career development international, 13(3), 209-223.
Blunch, N. J. (2012). Introduction to structural equation modeling using IBM SPSS statistics and AMOS. Introduction to structural equation modeling using IBM SPSS Statistics and AMOS, 1-312.
Bollen, K., & Long, J. (1993). Testing Structural Equation Models. Sage Publications.
Diener, E. (2000). Subjective well-being: The science of happiness and a proposal for a national index. American psychologist, 55(1), 34.
Field, A. (2022). An adventure in statistics: The reality enigma. Sage.
Fitriany, F., Anggraita, V., Kurrohman, T., & Aulia, S. (2022). Determinant of Audit Quality: The Guardian and Justice Organizations (Target 16.6 SDGs). KnE Social Sciences, 386–394-386–394.
Fogarty, T. J., Singh, J., Rhoads, G. K., & Moore, R. K. (2000). Antecedents and consequences of burnout in accounting: Beyond the role stress model. Behavioral Research in Accounting, 12, 31-68.
Franke, G., & Sarstedt, M. (2019). Heuristics versus statistics in discriminant validity testing: a comparison of four procedures. Internet Research, 29(3), 430-447.
Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis. englewood cliff. New jersey, USA, 5(3), 207-2019.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the academy of marketing science, 43, 115-135.
Hu, L. t., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural equation modeling: a multidisciplinary journal, 6(1), 1-55.
Hurley, P. J., Mayhew, B. W., Obermire, K. M., & Tegeler, A. C. (2021). The Impact of Risk and the Potential for Loss on Managers' Demand for Audit Quality. Contemporary Accounting Research, 38(4), 2795-2823.
Husain, T. (2020). Mapping evolution of audit quality measurement. European Journal of Business and Management Research, 5(3).
Kline, R. B. (2023). Principles and practice of structural equation modeling (5 ed.). Guilford publications.
Nunnally, J., & Bernstein, I. (1994). Psychometric Theory 3rd edition (MacGraw-Hill, New York). In.
Nurbaiti, A., & Faturrahman, R. (2022). The effect of auditor behaviors on audit quality. In Acceleration of Digital Innovation & Technology towards Society 5.0 (pp. 447-450). Routledge.
Păcuraru-Ionescu, C.-P., Cîmpan, M., & Borlea, S. N. (2023). Determinants of Audit Quality and Connections with Economic Development and Education. Proceedings of the International Conference on Business Excellence,
Rajgopal, S., Srinivasan, S., & Zheng, X. (2021). Measuring audit quality. Review of Accounting Studies, 26, 559-619.
Ryff, C. D., & Keyes, C. L. M. (1995). The structure of psychological well-being revisited. Journal of personality and social psychology, 69(4), 719.
Samagaio, A., & Felício, T. (2022). The influence of the auditor’s personality in audit quality. Journal of Business Research, 141, 794-807.
Samagaio, A., & Felício, T. (2023). The determinants of internal audit quality. European Journal of Management and Business Economics.
Schaufeli, W. B., & Bakker, A. B. (2004). Job demands, job resources, and their relationship with burnout and engagement: A multi‐sample study. Journal of Organizational Behavior: The International Journal of Industrial, Occupational and Organizational Psychology and Behavior, 25(3), 293-315.
Schaufeli, W. B., Salanova, M., González-Romá, V., & Bakker, A. B. (2002). The measurement of engagement and burnout: A two sample confirmatory factor analytic approach. J Happiness Stud, 3, 71-92.
Stewart-Brown, S., & Janmohamed, K. (2008). Warwick-Edinburgh mental well-being scale. User guide. Version, 1(10.1037).
Susanto, H., Mulyani, S., Sukmadilaga, C., & Ghani, E. K. (2022). Sustaining Investigative Audit Quality through Auditor Competency and Digital Forensic Support: A Consensus Study. Sustainability, 14(22), 15141.
Tennant, R., Hiller, L., Fishwick, R., Platt, S., Joseph, S., Weich, S., Parkinson, J., Secker, J., & Stewart-Brown, S. (2007). The Warwick-Edinburgh mental well-being scale (WEMWBS): development and UK validation. Health and Quality of life Outcomes, 5(1), 1-13.
Wright, T. A., & Cropanzano, R. (2000). Psychological well-being and job satisfaction as predictors of job performance. Journal of occupational health psychology, 5(1), 84.
Xanthopoulou, D., Bakker, A. B., Demerouti, E., & Schaufeli, W. B. (2007). The role of personal resources in the job demands-resources model. International journal of stress management, 14(2), 121.