Volume 2, Issue 8 (9-2019)                   2019, 2(8): 125-149 | Back to browse issues page


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Amin-Tahmasbi H, Mazra’e Frahani R. Influence factors analysis of online auditing performance Using Gray Analysis (GIA). Journal title 2019; 2 (8) :125-149
URL: http://jde.khu.ac.ir/article-1-97-en.html
University of Guilan
Abstract:   (1657 Views)
Many researches on online technology and online auditing applications have been conducted, but researches on online auditing performance are very limited. The purpose of this study is to analyze the factors affecting performance and to assess the performance of online auditing using Gray Analysis (GIA). The statistical society of this study is 10 top stock companies who want to use online auditing. After reviewing the literature and identifying the factors affecting online auditing, factors are presented to the managers of these companies in paired matrix. After collecting the data, the data are analyzed using the Gray theory method. Based on the results, the implementation cost index of the online auditing project has the highest impact and the risk control index of the online auditing project has the least impact on online auditing performance. In the ranking of indicator options, the highest score is related to the software and hardware cost option and the lowest score is related to risk control cost.
Full-Text [PDF 573 kb]   (675 Downloads)    
Type of Study: Research | Subject: Special
Received: 2018/07/5 | Accepted: 2018/10/24 | Published: 2019/09/14

References
1. Ahmi, A., and Kent, S. (2012) "The utilization of generalized audit software (GAS) by external auditors", Managerial Auditing Journal, Vol. 28 Issue: 2, pp.88-113. [DOI:10.1108/02686901311284522]
2. Alles, M., Brennan, G., Kogan, A., and Vasarhelyi, M. A. (2018). Continuous monitoring of business process controls: A pilot implementation of a continuous auditing system at Siemens. In Continuous Auditing: Theory and Application (pp. 219-246). Emerald Publishing Limited. [DOI:10.1108/978-1-78743-413-420181010]
3. Alles, M.G., Kogan, A. and Vasarhelyi, M.A. (2002), "Feasibility and economics of continuous assurance", Auditing: A Journal of Theory and Practice, Vol. 21 No. 1, pp. 125-38. [DOI:10.2308/aud.2002.21.1.125]
4. Amin, H. M., and Mohamed, E. K. (2016). Auditors' perceptions of the impact of continuous auditing on the quality of Internet reported financial information in Egypt. Managerial Auditing Journal, 31(1), 111-132. [DOI:10.1108/MAJ-01-2014-0989]
5. Chen, W. (2010), "A performance assessment method of online auditing based on rank-centroid", Computer Science, Vol. 37 No. 11, pp. 111-16.
6. Chen, W. (2011), "A performance assessment method of online auditing based on AHP", Audit & Economy Research, Vol. 26 No. 5, pp. 47-52.
7. Chen, W., and Smieliauskas, W.J. (2010), "Performance assessment of online auditing in China from the perspective of audit cost control", IEEE International Conference on Systems, Man, and Cybernetics, IEEE press, Piscataway, NJ, pp. 833-7. [DOI:10.1109/ICSMC.2010.5641863]
8. Chen, W., and Smieliauskas, W.J. (2012), "Performance assessment method of online auditing: a combined use between RC and AHP", Systems Engineering-Theory & Practice, Vol. 32(in press).
9. Chen, W., Qiu, R. and Liu, S.F. (2008), "A survey on continuous auditing", Journal of Chinese Computer Systems, Vol. 29 No. 9, pp. 1755-60.
10. Chen, W., Zhang, J.C. and Jiang, Y.Q. (2007), "One continuous auditing practice in China: data-oriented online auditing (DOOA)", IFIP International Federation for Information Processing, Volume 252, Integration and Innovation Orient to E-Society Volume 2, Springer, Boston, MA, pp. 521-8. [DOI:10.1007/978-0-387-75494-9_63]
11. Chen, Wei, et al. "Influence factors analysis of online auditing performance assessment: A combined use between AHP and GIA." Kybernetes 41.5/6 (2012): 587-598. [DOI:10.1108/03684921211243257]
12. Debreceny, R.S., Gray, G.L., Jun-Jin Ng, J., Siow-Ping Lee, K. and Yau, W.-F. (2005), "Embedded audit modules in enterprise resource planning systems: implementation and functionality", Journal of Information Systems, Vol. 19 No. 2, pp. 7-27. [DOI:10.2308/jis.2005.19.2.7]
13. Emil, S. and Camelia, D. (2011), "Complete analysis of bankruptcy syndrome using grey systems theory", Grey Systems: Theory and Application, Vol. 1 No. 1, pp. 19-32. Eni, L. C. (2016) "Considerations regarding the design of an online collaborative audit system", Managerial Auditing Journal, Vol. 31, Issue: 1, pp.64-86. [DOI:10.1108/20439371111106704]
14. European Journal of Operational Research, Vol. 199 No. 1, pp. 219-31.
15. Groomer, S.M. and Murthy, U.S. (1989), "Continuous auditing of database applications: an embedded audit module approach", Journal of Information Systems, Vol. 3 No. 2, pp. 53-69.
16. Liu, S.F., Forrest, J. and Vallee, R. (2009), "Emergence and development of grey systems theory", Kybernetes, Vol. 38 No's 7/8, pp. 1246-56. [DOI:10.1108/03684920910976943]
17. Liu, S.F., Forrest, J. and Xie, N.M. et al. (2008), "On a sort of new grey incidence models", IEEE International Conference on Systems, Man, and Cybernetics, IEEE press, Piscataway, NJ, pp. 1652-7. [DOI:10.1109/ICSMC.2008.4811525]
18. Murthy, U.S. and Groomer, S.M. (2004), "A continuous auditing web services model for XML-based accounting systems", International Journal of Accounting Information System, Vol. 5 No. 2, pp. 139-63. [DOI:10.1016/j.accinf.2004.01.007]
19. Rezaee, Z., Sharbatoghlie, A., Elam, R. and McMickle, P. (2002), "Continuous auditing: building automated auditing capability", Auditing: A Journal of Practice & Theory, Vol. 21 No. 1, pp. 147-63. [DOI:10.2308/aud.2002.21.1.147]
20. Rikhardsson, P., and Dull, R. (2016). An exploratory study of the adoption, application and impacts of continuous auditing technologies in small businesses. International Journal of Accounting Information Systems, Vol. 20, pp. 26-37. [DOI:10.1016/j.accinf.2016.01.003]
21. Stoel, D., Havelka, D., & Merhout, J. W. (2012). An analysis of attributes that impact information technology audit quality: A study of IT and financial audit practitioners. International Journal of Accounting Information Systems, Vol. 13, No. 1, pp. 60-79. [DOI:10.1016/j.accinf.2011.11.001]
22. Sueyoshi, T., Shang, J. and Chiang, W.C. (2009), "A decision support framework for internal audit prioritization in a rental car company: a combined use between DEA and AHP", [DOI:10.1016/j.ejor.2008.11.010]
23. Van der Aalst, W., Van Hee, K., Van der Werf, J. M., Kumar, A., & Verdonk, M. (2011). Conceptual model for online auditing. Decision Support Systems, 50(3), 636-647. [DOI:10.1016/j.dss.2010.08.014]

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