Reciprocal Use of Artificial Intelligence in Audit Assignments
Open accessAbstract
The purpose of this study is to examine the use of artificial intelligence to improve audit quality, combined with the competence and skepticism of auditors on client satisfaction. The unit of analysis in this study was selected as a sample based on the purposive sampling method which was chosen deliberately with certain criteria that have been determined by the researcher. The main source of data used in this study comes from primary data, namely questionnaires distributed directly via email to each respondent. Respondents in this study were middle level management, who were directly related to auditors at the time of the audit of companies listed on the Jakarta Stock Exchange. The sample in this study numbered 229 respondents who were processed and analyzed using SEM PLS. This research is based on the Society 5.0 era where data connects and moves everything; a system that connects the virtual world and the real world. The era of the fourth industrial revolution, where the discovery of the internet of things allows the interconnection between machines, big data, acquisition, machine learning, smart factories and others, and financial reports to be made using a computerized system. The global Covid-19 pandemic has had an impact on almost all sectors and restrictions on activities. As a result of the corona virus, most activities or work are carried out from home. The results of this study prove that the effect of the application of artificial intelligence combined with auditor competence and auditor professional skepticism creates client satisfaction.
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Cites
Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research
F. Hair Jr, J., Sarstedt, M., Hopkins, L., & G. Kuppelwieser, V. (2014) · European Business Review · doi:10.1108/ebr-10-2013-0128 · Cited by 11,728 · see citing works
Auditor size and audit quality
DeAngelo, L. (1981) · Journal of Accounting and Economics · doi:10.1016/0165-4101(81)90002-1 · Cited by 6,024 · see citing works
Foundations of Behavioral Research
Buttram, J. B. (1967) · Journal of Music Therapy · doi:10.1093/jmt/4.4.144-a · Cited by 2,977 · see citing works
Caruana, A. (2002) · European Journal of Marketing · doi:10.1108/03090560210430818 · Cited by 1,617 · see citing works
Parasuraman, A. (1994) · Journal of Retailing · doi:10.1016/0022-4359(94)90033-7 · Cited by 1,508 · see citing works
Foundations Of Behavioral Research
Kerlinger, F. N. 1.-1. (1964) · Cited by 882 · see citing works
The Quest for Artificial Intelligence
Nilsson, N. J. (2009) · Cambridge University Press eBooks · doi:10.1017/cbo9780511819346 · Cited by 792 · see citing works
The Emergence of Artificial Intelligence: How Automation is Changing Auditing
Kokina, J., & Davenport, T. H. (2017) · Journal of Emerging Technologies in Accounting · doi:10.2308/jeta-51730 · Cited by 790 · see citing works
Freeman, J., Barnett, V., & Lewis, T. (1995) · Journal of the Operational Research Society · doi:10.2307/3009915 · Cited by 729 · see citing works
Baumeister, R. F., & Vohs, K. D. (2007) · Encyclopedia of Social Psychology · doi:10.4135/9781412956253.n383 · Cited by 658 · see citing works
Performance Management : The New Realities
Armstrong, M., & Baron, A. (1998) · Medical Entomology and Zoology · Cited by 472 · see citing works
Marinova, D., de Ruyter, K., Huang, M., Meuter, M. L., & Challagalla, G. N. (2016) · Journal of Service Research · doi:10.1177/1094670516679273 · Cited by 383 · see citing works
Hurtt, R. K., Brown‐Liburd, H. L., Earley, C. E., et al. (2012) · Auditing A Journal of Practice & Theory · doi:10.2308/ajpt-50361 · Cited by 353 · see citing works
From analytics to artificial intelligence
Davenport, T. H. (2018) · Journal of Business Analytics · doi:10.1080/2573234x.2018.1543535 · Cited by 341 · see citing works
The Determinants of Audit Client Satisfaction Among Clients of Big 6 Firms.
Behn, B. K., & Carcello, J. V. (1997) · Accounting Horizons · doi:10.2308/ah-9704142800 · Cited by 196 · see citing works
Modeling the determinants of audit expertise
Libby, R., & Tan, H. (1994) · Accounting Organizations and Society · doi:10.1016/0361-3682(94)90030-2 · Cited by 195 · see citing works
Service quality, client satisfaction and loyalty towards audit firms
Ismail, I., Haron, H. B., Ibrahim, D. N., & Isa, S. M. (2006) · Managerial Auditing Journal · doi:10.1108/02686900610680521 · Cited by 173 · see citing works
Windsor, C. A., & Ashkanasy, N. M. (1995) · Accounting Organizations and Society · doi:10.1016/0361-3682(95)00018-5 · Cited by 154 · see citing works
Audit quality and the going-concern decision-making process: Spanish evidence
Barbadillo, E. R., Aguilar, N. G., Barberá, C. D. F., et al. (2004) · European Accounting Review · doi:10.1080/0963818042000216820 · Cited by 147 · see citing works
Burton, S., Sheather, S. J., & Roberts, J. H. (2003) · Journal of Service Research · doi:10.1177/1094670503005004002 · Cited by 122 · see citing works
In Advertising We Trust: Religiosity's Influence on Marketplace and Relational Trust
Minton, E. A. (2015) · Journal of Advertising · doi:10.1080/00913367.2015.1033572 · Cited by 109 · see citing works
Quality dimensions in external audit services- an external user perspective
Warming‐Rasmussen, B., & Jensen, L. (1998) · European Accounting Review · doi:10.1080/096381898336583 · Cited by 71 · see citing works
Furiady, O., & Kurnia, R. (2015) · Procedia - Social and Behavioral Sciences · doi:10.1016/j.sbspro.2015.11.042 · Cited by 67 · see citing works
Review of Studies on Audit QualityPreprint
Chadegani, A. A. (2011) · SSRN Electronic Journal · doi:10.2139/ssrn.2227359 · Cited by 63 · see citing works
The effect of auditor quality to professional skepticsm and its relationship to audit quality
Kusumawati, A., & Syamsuddin, S. (2018) · International Journal of Law and Management · doi:10.1108/ijlma-03-2017-0062 · Cited by 61 · see citing works
Cognitive scripts and prototypes in service encounters
Humphrey, R. H., & Ashforth, B. E. (1994) · Advances in services marketing and management · doi:10.1016/s1067-5671(94)03018-9 · Cited by 56 · see citing works
Brown‐Liburd, H. L., Cohen, J. R., & Trompeter, G. (2012) · Journal of Business Ethics · doi:10.1007/s10551-012-1473-5 · Cited by 52 · see citing works
Rodgers, W., Mubako, G., & Hall, L. L. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2016.12.069 · Cited by 51 · see citing works
Quality Dimensions of E-Commerce and their Implications
Mohanty, R. P., Seth, D., & Mukadam, S. (2007) · Total Quality Management & Business Excellence · doi:10.1080/14783360601149992 · Cited by 50 · see citing works
Rules for Rejection of Outliers
Ferguson, T. S. (1961) · Revue de l Institut International de Statistique / Review of the International Statistical Institute · doi:10.2307/1401948 · Cited by 50 · see citing works
Aschauer, E., Fink, M., Moro, A., van Bakel-Auer, K., & Warming‐Rasmussen, B. (2016) · Behavioral Research in Accounting · doi:10.2308/bria-51654 · Cited by 46 · see citing works
Client satisfaction and usefulness to external stakeholders from an audit client perspective
Öhman, P., Häckner, E., & Sörbom, D. (2012) · Managerial Auditing Journal · doi:10.1108/02686901211227995 · Cited by 40 · see citing works
Auditors As Advocates For Their Clients: Perceptions Of The Auditor-Client Relationship
Jenkins, J. G., & Lowe, D. J. (2011) · Journal of Applied Business Research (JABR) · doi:10.19030/jabr.v15i2.5680 · Cited by 33 · see citing works
Eysenck, H. J. (1958) · BMJ · doi:10.1136/bmj.2.5104.1087-a · Cited by 33 · see citing works
PROFESSIONAL SKEPTICISM IN AUDITING AND ITS CHARACTERISTICS
Ciołek, M. (2017) · Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu · doi:10.15611/pn.2017.474.03 · Cited by 22 · see citing works
External Audit Services Quality and Client Satisfaction: Evidence from Jordan
Sawalqa, F. A. A. (2014) · Journals & Books Hosting (International Knowledge Sharing Platform) · Cited by 8 · see citing works
Affes, H. S. (2016) · International Journal of Auditing Technology · doi:10.1504/ijaudit.2016.078173 · Cited by 2 · see citing works
Flagged first, then by citations
Research works printed but not linked: 12
- Ali, Z. M., Mail, R., & Amirul, S. M. (2019). The mediation effect of clients' satisfaction between audit qualty and auditor retention of small and medium enterprises (SMES). International Journal of Accounting, 4(17), 53-65.
- Carcello, J. V., Hermanson, R. H., & McGrath, N. T. (1992). Audit quality attributes: The perceptions of audit partners, preparers, and financial statement users. Auditing, 11(1), 1-15.
- Colby, C. L., Mithas, S., & Parasuraman, A. (2016). Service robots: How ready are consumers to adopt and what drives acceptance? Paper presented at the In The 2016 Frontiers in Service Conference. Norway: Bergen.
- Halim, A. (2014). Audit time budget and professional commitment as moderating variables effect of auditor competence and independence on audit quality. Paper presented at the Lombok XVII National Accounting Symposium 2014.
- Halim, A., Sutrisno, T., & Achsin, M. (2014). Effect of competence and auditor independence on audit quality with audit time budget and professional commitment as a moderation variable. International Journal of Business and Management Invention, 3(6), 64-74.
- Handayani, K., & Merkusiwati, L. (2015). Effect of auditor independence and auditor competence on auditor professional skepticism and its implications for audit quality. E-Journal of Accounting, 10(1), 229-243.
- Krech, D., Crutchfield, R. S., & Livson, N. (1974). Elements of psychology (3rd ed.): Knopf.
- McCarthy, J., Minsky, M., Rochester, N., & Shannon, C. (1955). A proposal for the dartmouth summer research project on artificial intelligence, august 31, 1955. AI Magazine, 27(4), 12-12. https://doi.org/10.1609/aimag.v27i4.1904 · DOI
- Pandit, G. M. (1999). Clients' perceptions of their incumbent auditors and their loyalty to the audit firms: An empirical study. The Mid-Atlantic Journal of Business, 35(4), 171.
- Presswire. (2016). PwC wins "audit innovation of the year" at the accountant & international accounting bulletin awards 2016. Retrieved from https://www.m2.com/m2/web/story.php/20166219039.
- Sekaran, U., & Bougie, R. (2016). Research method for business (7th ed.). Chichester, West Sussex: Printer Trento Srl.
- Sembiring, R. K. (1995). Regression analysis (pp. 62). Bandung: ITB, Indonesia.
- Authors
- Juan Barus, G., Etty, M., Haryono, U., & Sekar, M.
- Affiliations
- Universitas Trisakti (ID)
- Perbanas Institute (ID)
- Venue
- Journal of Accounting, Business and Finance Research
- Publisher
- Scientific Publishing Institute
- Published
- 2021
- Volume
- 11
- Issue
- 1
- Pages
- 9-20
- ISSN
- 2521-3830 (ISSN-L)
- OpenAlex
- W3121567905
- Cited by
- 16
- References
- 37
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 6 · 2023: 3 · 2022: 1 · 2021: 2
- FWCI
- 2.68
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Journal of Accounting Business and Finance Research (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Corporate Governance and Financial Management
- Social Sciences › Business, Management and Accounting › Accounting › Auditing, Earnings Management, Governance
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Robotic Process Automation Applications
- Keywords
- artificial intelligence in auditing, audit quality, auditor competence, auditor professional skepticism, client satisfaction, Society 5.0, Fourth Industrial Revolution, listed companies, Indonesia Stock Exchange
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