Risk Factor Assessment Improvement for China’s Cloud Computing Auditing Using a New Hybrid MADM Model

Kuang-Hua Hu, Wei Jianguo () and Gwo-Hshiung Tzeng ()
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Kuang-Hua Hu: School of Accounting, Guangdong University Finance and Economics, 21 Chisha Road, Haizhu District, Guangzhou 510320, P. R. China
Wei Jianguo: #x2020;Accounting School, Nanfang College of Sun Yat-sen University, Wenquan Town, Conghua, Guangzhou 510970, P. R. China
Gwo-Hshiung Tzeng: #x2021;Graduate Institute of Urban Planning, College of Public Affairs, National Taipei University, 151, University Rd., San Shia District, New Taipei City 23741, Taiwan

International Journal of Information Technology & Decision Making (IJITDM), 2017, vol. 16, issue 03, 737-777

Abstract: With the rapid growth of modern technology in all facets of trade and industry, traditional auditing systems can no longer meet today’s ever-increasing technological requirements; contemporary auditing is in urgent need of straightforward and quick cloud computing services to meet the needs of auditors. In keeping with current trends, auditors must be provided with the means of using data and auditing information stored in cloud systems for more efficient and elastic auditing. However, the risks involved in cloud computing auditing are widespread and complex. Dimensions should be established, a mutually influential relationship used to delineate the influence weights of the dimensions and criteria should be determined. To this end, a Multiple Attribute Decision Making (MADM) model can precisely solve multi-criteria problems simultaneously. Therefore, the main focus of this study is to determine how to assess and establish the best improvement strategies to achieve the aspiration level for cloud auditing risk factors, by using the opinions and practical experience of China’s accounting experts, applied with a Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique, DEMATEL-based ANP (DANP) and modified VIKOR method. The results provide cloud auditing risks with a knowledge-based understanding of the problem sources in order to establish the best improvement strategies for reducing risk-auditing performance gaps and attaining the aspiration levels. Based on the degree of impact of the dimensions/criteria on an Influence Network Relation Map (INRM), improvements should be prioritized as follows: system operations, technology risks, identity and access management and data protection.

Keywords: Cloud computing; audit risk; MADM (multiple attribute decision making); DEMATEL technique; INRM (influential network relation map); DANP (DEMATEL-based ANP); modified VIKOR method (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1142/S021962201750016X

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