The effects of audit competency, situational support, and information search on auditors’ performance
DOI:
https://doi.org/10.24191/jeeir.v10i3.18970Keywords:
Audit, Auditor performance, Competency, Situational support, Information searchAbstract
The competency of an auditor is important when comes to conducting audit tasks particularly one who has extensive knowledge, specific skills and techniques. This study aims to identify the key factors affecting the auditors’ performance. Through the lens of the Behavioral Decision Theory (BDT) framework, this study examines the direct effects of audit competency, situational support and information search factors in enhancing auditors’ performance. A survey was conducted on audit firms of varying sizes in Malaysia. The data were collected and were analyzed using Structural Equation Modelling-Partial Least Square (SEM-PLS) statistical tools. Based on evidence from external auditors, the results indicate that audit competency, situational supports and information search are important in the efficiency and effectiveness of auditors’ performance. This study has several contributions to the literature.
References
Abdallah, S. (2018). External auditor type, discretionary accruals and investors’ reactions. Journal of Accounting in Emerging Economies, 8(3), 352-368. https://doi.org/10.1108/JAEE-10-2017-0098.
Akbar, M. S., & Suraida, I. (2017). Competence and professional care of external auditor on information technology audit, 21(1), 21–27. https://doi.org/10.23969/trikonomika.v16i1.418
Alam, T., Hassan, T., & Ferdous, K. (2017). Competency of shariah auditors: Issues and challenges in Pakistan. Journal of Internet Banking and Commerce, 22(2), 1–12. https://www.icommercecentral.com/open-access/competency-of-shariah-auditors-issues-and-challenges-in-pakistan.php?aid=86140
Alias, N. F., Nawawi, A., & Salin, A. S. A. P. (2019). Internal auditor’s compliance to code of ethics: Empirical findings from Malaysian Government-linked companies. Journal of Financial Crime, 26(1), 179–194. https://doi.org/10.1108/JFC-07-2017-0066
Ammenwerth, E., Iller, C., & Mahler, C. (2006). IT-adoption and the interaction of task, technology and individuals: A fit framework and a case study. BMC Medical Informatics and Decision Making, 6, 1–13. https://doi.org/10.1186/1472-6947-6-3
Bagozzi, R. P., Yi, Y., & Phillips, L. W. (1991). Assessing construct validity in organizational research. Administrative Science Quarterly, 36(3), 421. https://doi.org/10.2307/2393203
Bonaiuto, F., Fantinelli, S., Milani, A., Cortini, M., Vitiello, M. C., & Bonaiuto, M. (2022). Perceived organizational support and work engagement: The role of psychosocial variables. Journal of Workplace Learning, 34(5), 418–436. https://doi.org/10.1108/JWL-11-2021-0140
Bradford, M., Henderson, D., Baxter, R. J., & Navarro, P. (2020). Using generalized audit software to detect material misstatements, control deficiencies and fraud: How financial and IT auditors perceive net audit benefits. Managerial Auditing Journal, 35(4), 521–547. https://doi.org/10.1108/MAJ-05-2019-2277
Chamber, A. D., & Odar, M. (2015). A new vision for internal audit. Managerial Audit Journal, 30(1), 34-55. https://doi.org/10.1108/MAJ-08-2014-1073
Chambers, A. D. (2014). The current state of internal auditing: A personal perspective and assessment. Edpacs, 49(1), 1–14. https://doi.org/10.1080/07366981.2014.869962
Chan, D. Y., & Vasarhelyi, M. A. (2011). Innovation and practice of continuous auditing. International Journal of Accounting Information Systems, 12(2), 152–160. https://doi.org/10.1016/j.accinf.2011.01.001
Cohen, J. (1988). Set correlation and contingency tables. Applied psychological measurement, 12(4), 425-434. https://doi.org/10.1177%2F014662168801200410
Dagilienė, L., & Klovienė, L. (2019). Motivation to use big data and big data analytics in external auditing. Managerial Auditing Journal, 34(7), 750–782.
Dai, J., & Vasarhelyi, M. A. (2016). Imagineering Audit 4.0. Journal of Emerging Technologies in Accounting, 13(1), 1–15. https://doi.org/10.2308/jeta-10494
Edwards, W. (1954). The theory of decision making. Psychological Bulletin, 51(4), 380–417. http://garfield.library.upenn.edu/classics1981/A1981KZ57800001.pdf
Edwards, W. (1961). Behavioral decision theory, 12, 473-498. https://doi.org/10.1146/annurev.ps.12.020161.002353
Ege, M. S. (2015). Does internal audit function quality deter management misconduct? The Accounting Review, 90(2), 495–527. https://doi.org/10.2308/accr-50871
Einhorn, H. J., & Hogarth, R. M. (1981). Behavioral Decision Theory: Processes of Judgment and Choice. Journal of Accounting Research, 19(1), 1-31. https://doi.org/10.2307/2490959
Flowerday, S., Blundell, A., & Solms, R. (2006). Continuous auditing technologies and models: A discussion. Computers & Security, 25(5), 325-331. https://doi.org/10.1016/j.cose.2006.06.004
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 382–388. https://doi.org/10.2307/3150980
Ghani, R., Rosli, K., Ismail, N. A., & Saidin, S. Z. (2017). Application of computer-assisted audit tools and techniques (CAATTs) in audit firms. Journal of Advanced Research in Business and Management Studies, 1(1), 67–74. https://www.semanticscholar.org/paper/Application-of-Computer-Assisted-Audit-Tools-in-Ghani-Rosli/9e7eba6b70acfdb03795a092db215f6139818512
Gold, A. H., Malhotra, A., & Segars, A. H. (2001). Knowledge management: An organizational capabilities perspective. Journal of Management Information Systems, 18(1), 185–214. https://doi.org/10.1080/07421222.2001.11045669
Goodboy, A. K., & Kline, R. B. (2017). Statistical and Practical Concerns With Published Communication Research Featuring Structural Equation Modeling. Communication Research Reports, 34(1), 68–77. https://doi.org/10.1080/08824096.2016.1214121
Goudarzi, F. S., Bergey, P., & Olaru, D. (2021). Behavioral operations management and supply chain coordination mechanisms: A systematic review and classification of the literature. Supply Chain Management. https://doi.org/10.1108/SCM-03-2021-0111
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203
Hair, J. F., Sarstedt, M., Pieper, T. M., & Ringle, C. M. (2012). The use of partial least squares structural equation modeling in strategic management research: A review of past practices and recommendations for future applications. Long Range Planning, 45(5–6), 320–340. https://doi.org/10.1016/j.lrp.2012.09.008
Hair, Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152. https://doi.org/10.2753/MTP1069-6679190202
Hair, Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106–121. https://doi.org/10.1108/EBR-10-2013-0128
Hamdam, A., Jusoh, R., Yahya, Y., Abdul Jalil, A., & Zainal Abidin, N. H. (2022). Auditor judgment and decision-making in big data environment: A proposed research framework. Accounting Research Journal, 35(1), 55–70. https://doi.org/10.1108/arj-04-2020-0078
Henseler, J., Dijkstra, T. K., Sarstedt, M., Ringle, C. M., Diamantopoulos, A., Straub, D. W., Ketchen, D. J., Hair, J. F., Hult, G. T. M., & Calantone, R. J. (2014). Common Beliefs and Reality About PLS: Comments on Rönkkö and Evermann (2013). Organizational Research Methods, 17(2), 182–209. https://doi.org/10.1177%2F1094428114526928
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(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
Hosie, P., & Nankervis, A. 2016. A multidimensional measure of managers' contextual and task performance. Personnel Review, 45(2), 419-447. https://psycnet.apa.org/doi/10.1108/PR-02-2014-0038
International Federation of Accountants. (2014a). Competence Requirements for Audit Professionals. International Education Standard IES 8.
http://www.ifac.org/sites/default/files/publications/files/ies-8-competence-requirem-1.pdf
International Federation of Accountants. (2014b). International Auditing and Assurance Standards Board Handbook of International Quality Control , Auditing Review , Other Assurance, and Related Services Pronouncements (Vol. 2). https://www.ifac.org/system/files/publications/files/2014-IAASB-HANDBOOK-VOLUME-2.pdf
Joyce, E., & Libby, R. (1981). Some accounting implications of behavioral decision-theory - Processes of judgment and choice. Journal of Accounting Research, 19(2), 544-550. https://doi.org/10.2307/2490880
Kaawaase, T. K., Assad, M. J., Kitindi, E. G., & Nkundabanyanga, S. K. (2016). Audit quality differences amongst audit firms in a developing economy. Journal of Accounting in Emerging Economies, 6(3), 269–290. http://dx.doi.org/10.1108/JAEE-08-2013-0041
Kassem, R. (2018). Exploring external auditors’ perceptions of the motivations behind management fraud in Egypt – A mixed methods approach. Managerial Auditing Journal, 33(1), 16–34. https://doi.org/10.1108/MAJ-11-2016-1470
Kassem, R. (2021). How could external auditors assess the rationalization of fraud? Journal of Financial Crime. https://doi.org/10.1108/JFC-08-2021-0184
Kim, H. J., Kotb, A., & Eldaly, M. K. (2016). The use of generalized audit software by Egyptian external auditors: The effect of audit software features. Journal of Applied Accounting Research, 17(4), 456–478. https://doi.org/10.1108/JAAR-10-2015-0079
Kock, N., & Lynn, G. S. (2012). Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendations. Journal of the Association for Information Systems, 13(7), 546–80. https://www.proquest.com/docview/1034724421
Krishnan, R., Osman, I., Muthusamy, G., Alias, N. E., & Mastora, S. H. (2018). The moderating effect of self-efficacy in the relationship between perceived job characteristics and work engagement. Management and Accounting Review, 17(2), 79–92. http://dx.doi.org/10.24191/mar.v17i2.790
Kunasegaran, M., Ismail, M., Mohd Rasdi, R., Arif Ismail, I., & Ramayah, T. (2016). Talent development environment and workplace adaptation: The mediating effects of organisational support. European Journal of Training and Development, 40(6), 370–389. https://doi.org/10.1108/EJTD-07-2015-0060
Law, P. (2011). Corporate governance and no fraud occurence in organization. Hong Kong evidence. Managerial Auditing Journal, 26(6), 501–518. https://doi.org/10.1108/0268690111114255
Lee, H., & Chui, J. (2019). The mediating effect of interactional justice on human resource practices and organizational support in a healthcare organization. Journal of Organizational Effectiveness: People and Performance, 6(2), 129–144. https://doi.org/10.1108/JOEPP-10-2018-0085
Lin, C. P., Wang, Y. J., Tsai, Y. H., & Hsu, Y. F. (2010). erceived job effectiveness in coopetition: A survey of virtual teams within business organizations. Computers in Human Behavior, 26(6), 1598–1606. https://doi.org/10.1016/j.chb.2010.06.007
Liu, G., & Ren, H. (2017). Ethical team leadership and trainee auditors’ likelihood of reporting client’s irregularities. Journal of Financial Crime, 24(1), 157-175. https://doi.org/10.1108/JFC-02-2016-0012
Mahzan, N., & Lymer, A. (2014). Examining the adoption of computer-assisted audit tools and techniques: Cases of generalized audit software use by internal auditors. Managerial Auditing Journal, 29(4), 327-349. https://doi.org/10.1108/MAJ-05-2013-0877
Malaescu, I., & Sutton, S. G. (2015). The reliance of external auditors on internal audit’s use of continuous audit. Journal of Information Systems, 29(1), 95–114. https://doi.org/10.2308/isys-50899
Mardijuwono, A. W., & Subianto, C. (2018). Independence, professionalism, professional skepticism: The relation toward the resulted audit quality. Asian Journal of Accounting Research, 3(1), 61–71. https://doi.org/10.1108/AJAR-06-2018-000
Mascha, M. F., & Miller, C. L. (2010). The effects of task complexity and skill on over/under-estimation of internal control. Managerial Auditing Journal, 25(8), 734–755. https://doi.org/10.1108/02686901011069533
Mohd Sanusi, Z., Iskandar, T. M., Monroe, G. S., & Saleh, N. M. (2018). Effects of goal orientation, self-efficacy and task complexity on the audit judgement performance of Malaysian auditors. Accounting, Auditing and Accountability Journal, 31(1), 75–95. https://%20doi.org/10.1108/AAAJ-12-2015-236
Nguyen, H. T. L. (2021). A conceptual framework for wisdom-based decision-making process in audit profession. Library Hi Tech. https://doi.org/10.1108/LHT-10-2020-0256
Nehme, R. (2017). Performance evaluation of auditors: A constructive or a destructive tool of audit output. Managerial Auditing Journal, 32(2), 215–231. https://doi.org/10.1108/MAJ-09-2016-1446
Ogbaisi, S. A., & Ohiokha , F. I. (2020). Issues in behavioural auditing : A survey of literature. International Journal of Accounting Research, 5(1), 14–20. http://www.arabianjbmr.com/pdfs/AC_VOL_5_1/2_ijar_05012020.pdf
Palmer, K. N., Ziegenfuss, D. E., & Pinsker, R. E. (2004). International knowledge, skills, and abilities of auditors/accountants: Evidence from recent competency studies. Managerial Auditing Journal, 19(7), 889–896. https://doi.org/10.1108/02686900410549411
Payne, E. A., & Ramsay, R. J. (2005). Fraud risk assessments and auditors’ professional skepticism. Managerial Auditing Journal, 20(3), 321–330. https://doi.org/10.1108/02686900510585636
PwC (2020). Fraud and corruption Malaysia has its say. PwC’s Global Economic Crime and Fraud Survey - Malaysia Report. https://www.pwc.com/my/en/assets/publications/2020/PwC-Global-Economic-Crime-and-Fraud-Survey-2020-Malaysia-report.pdf
Raudeliuniene, J., Albats, E., & Kordab, M. (2020). Impact of information technologies and social networks on knowledge management processes in Middle Eastern audit and consulting companies. Journal of Knowledge Management, 25(4), 871-898. https://doi.org/10.1108/JKM-03-2020-0168
Rezaee, Z., & Safarzadeh, M. H. (2022). Corporate governance and earnings quality: The behavioral theory of corporate governance (evidence from Iran). https://doi.org/10.1108/CG-08-2021-0289
Ringle, C. M., Sarstedt, M., Mitchell, R., & Gudergan, S. P. (2020). Partial least squares structural equation modeling in HRM research. International Journal of Human Resource Management, 31(12), 1617–1643. https://doi.org/10.1080/09585192.2017.141665
Rönkkö, M., & Evermann, J. (2013). A Critical Examination of Common Beliefs About Partial Least Squares Path Modeling. Organizational Research Methods, 16(3), 425–448. https://doi.org/10.1177%2F1094428112474693
Rönkkö, M., McIntosh, C. N., Antonakis, J., & Edwards, J. R. (2016). Partial least squares path modeling: Time for some serious second thoughts. Journal of Operations Management, 47–48, 9–27. https://doi.org/10.1016/j.jom.2016.05.002
Sabir, I., Ali, I., Majid, M. B., Sabir, N., Mehmood, H., Rehman, A. U., & Nawaz, F. (2022). Impact of perceived organizational support on employee performance in IT firms – A comparison among Pakistan and Saudi Arabia. International Journal of Organizational Analysis, 30(3), 795–815. https://www.x-mol.com/paperRedirect/1407797788242554880
Sarstedt, M., Hair, J. F., Ringle, C. M., Thiele, K. O., & Gudergan, S. P. (2016). Estimation issues with PLS and CBSEM: Where the bias lies! Journal of Business Research, 69(10), 3998–4010. https://doi.org/10.1016/j.jbusres.2016.06.007
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2014). PLS-SEM: Looking back and moving forward. Long Range Planning, 47(3), 132–137. https://doi.org/10.1016/j.lrp.2014.02.008
Searcy, D., Woodroof, J., & Behn, B. (2003). Continuous audit: The motivations, benefits, problems, and challenges identified by partners of a Big 4 accounting firm. Proceedings of the 36th Annual Hawaii International Conference on System Sciences, HICSS 2003. https://doi.org/ 10.1109/HICSS.2003.1174565.
Seol, I., Sarkis, J., & Wang, Z. (2017). A cross-cultural comparative study of internal auditor skills: UK vs Korea. Journal of Applied Accounting Research, 18(3), 341–355. https://doi.org/10.1108/JAAR-09-2014-0100
Simon, A., Bartle, C., Stockport, G., Smith, B., Klobas, J. E., & Sohal, A. (2015). Business leaders’ views on the importance of strategic and dynamic capabilities for successful financial and non-financial business performance. International Journal of Productivity and Performance Management, 64(7), 908–931. https://doi.org/10.1108/IJPPM-05-2014-0078
Singh, R. (2020). Organisational embeddedness as a moderator on the organisational support, trust and workplace deviance relationships. Evidence-Based HRM, 8(1), 1–17. https://doi.org/10.1108/EBHRM-03-2019-0025
Sullivan, J. H., Warkentin, M., & Wallace, L. (2021). So many ways for assessing outliers: What really works and does it matter? Journal of Business Research, 132, 530–543. https://doi.org/10.1016/j.jbusres.2021.03.066
Tarek, M., Mohamed, E. K. A., Hussain, M. M., & Basuony, M. A. K. (2017). The implication of information technology on the audit profession in developing country. International Journal of Accounting & Information Management, 25(2), 237–255. https://doi.org/10.1108/IJAIM-03-2016-0022
Thottoli, M. M., & K.V, T. (2020). Characteristics of information communication technology and audit practices: evidence from India. VINE Journal of Information and Knowledge Management Systems, 52(4), 570-593. https://doi.org/10.1108/vjikms-04-2020-0068
Tuan Mansor, T. M., Mohamad Ariff, A., & Hashim, H. A. (2020). Whistleblowing by auditors: The role of professional commitment and independence commitment. Managerial Auditing Journal, 35(8), 1033–1055. https://doi.org/10.1108/MAJ-11-2019-2484
Tuan Mansor, T. M., Mohamad Ariff, A., Hashim, H. A., & Ngah, A. H. (2021). External whistleblowing intentions of auditors: a perspective based on stimulus–organism–response theory. Corporate Governance (Bingley), 22(4), 871–897. https://doi.org/10.1108/CG-03-2021-0116
Veerankutty, F., Ramayah, T., & Ali, N. (2018). Information Technology Governance on Audit Technology Performance among Malaysian Public Sector Auditors. Social Sciences, 7(8), 124. https://doi.org/10.3390/socsci7080124
Widuri, R., O’Connell, B., & Yapa, P. W. S. (2016). Adopting generalized audit software: An Indonesian perspective. Managerial Auditing Journal, 31(8–9), 821–847. https://doi.org/10.1108/MAJ-10-2015-1247
Wu, T. H., Huang, S. M., Huang, S. Y., & Yen, D. C. (2017). The effect of competencies, team problem-solving ability, and computer audit activity on internal audit performance. Information Systems Frontiers, 19(5), 1133–1148. https://doi.org/10.1007/s10796-015-9620-z
Zeglat, D., & Janbeik, S. (2019). Meaningful work and organizational outcomes: The mediating role of individual work performance. Management Research Review, 42(7), 859–878. https://doi.org/10.1108/MRR-05-2018-0206
Zhang, M. F., Dawson, J. F., & Kline, R. B. (2021). Evaluating the Use of Covariance-Based Structural Equation Modelling with Reflective Measurement in Organizational and Management Research: A Review and Recommendations for Best Practice. British Journal of Management, 32(2), 257–272. https://doi.org/10.1111/1467-8551.12415
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