Abstract
Accounting information systems (AIS) play a key role in risk assessment and control in modern enterprise management. Risk management is the process of planning, organizing, managing and controlling the necessary activities to control unexpected losses that may occur in the enterprises. The importance of risk assessment and control requires to use advanced fuzzy Multi Criteria Decision Making techniques. The aim of this paper is to apply the Intuitionistic Fuzzy TOPSIS method to evaluate the risk assessment and control efficiency of AIS of firms in three different sector: production, trade and service sectors. The risk factors are determined as financial risks, legal risks, reputation risks, strategic risks, operational risks and external risks. The prioritization of risks has been made by academic experts and evaluation of organizations’ AIS has been made by risk-oriented audit professionals. As a result, the ranking of firms according to their ability of coping with the risks in their AIS is obtained as production firm, service firm and trade firm respectively.
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Authors would like to deep gratitude to academic experts as also to Accountant Professionals for their contributions.
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Karakul, A.K., Mizrahi, R., Tektaş, B. (2021). Intuitionistic Fuzzy Group Decision Making on Risk Assessment and Control Efficiency of Accounting Information Systems with TOPSIS. In: Kahraman, C., Cevik Onar, S., Oztaysi, B., Sari, I., Cebi, S., Tolga, A. (eds) Intelligent and Fuzzy Techniques: Smart and Innovative Solutions. INFUS 2020. Advances in Intelligent Systems and Computing, vol 1197. Springer, Cham. https://doi.org/10.1007/978-3-030-51156-2_158
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DOI: https://doi.org/10.1007/978-3-030-51156-2_158
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