How to cite this paper
Salameh, R & Lutfi, K. (2021). The role of artificial intelligence on limiting Jordanian commercial banks cybercrimes.Accounting, 7(5), 1147-1156.
Refrences
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Ajam, M. D. I. M. H. (2018). Artificial Intelligence and its Implications for High Performance Organizations-Exploratory Study in the Ministry of Science and Technology. Journal of Administration and Economics, 115.
Al-Bishtawi, S. H., Al-Buqami, M.A. (2015). The effect of applying expert systems in commercial banks on electronic audit procedures from the viewpoint of external certified accountants, a comparative study in the Hashemite Kingdom of Jordan and the Kingdom of Saudi Arabia. Jordan Journal of Business Administration, 11(1).
Askari, S. M. S., & Hussain, M. A. (2020). IFDTC4. 5: Intuitionistic fuzzy logic based decision tree for E-transactional fraud detection. Journal of Information Security and Applications, 52, 102469.
Balayan, V. (2020). Human-Interpretable Explanations for Black-Box Machine Learning Models: An Application to Fraud Detection (Doctoral dissertation, Universidade Nova de Lisboa).
Belabed, F., & Shawi, H. (2019). The role of expert systems in evaluating the performance of economic institutions. A collective book titled: Applications of artificial intelligence as a modern trend to enhance the competitiveness of business organizations, P85-100.
Buzerb, Kheireldeen, & Sahnon, Hiba. (2019). Artificial Intelligence and its Applications in the Banking Sector: Reading in the Indian Experience, HDFC Bank Case Study. A collective book titled: Applications of artificial intelligence as a modern trend to enhance the competitiveness of business organizations, P149-168.
Cazenave, T. (2011). Intelligence artificielle: une approche ludique. Ellipses.
Crevier, D. (1993). AI: the tumultuous history of the search for artificial intelligence. Basic Books, Inc..
Ebrahiem, A. (2018). The Role Of Using The Expert Systems In Improving The Quality Of The Managerial Decision A Field Study On The Banks Operating In The Syrian Coast. Tartous University Journal for Research and Scientific Studies -Economic and Legal Sciences Series, 2(4) 2028.
Ford, V., Siraj, A., & Eberle, W. (2014, December). Smart grid energy fraud detection using artificial neural networks. In 2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG) (pp. 1-6). IEEE.
Gamoura, S., Bey, M., & Kroush, H. (2018, February). Artificial Intelligence: Between the Reality and Hope Practical and Technical Studies in Management. International Forum "Artificial Intelligence: A New Challenge to Law", Algeria.
Goldmann, P., & Kaufman, H. (2009). Anti-fraud risk and control workbook. John Wiley & Sons.
Haenlein, M., & Kaplan, A. (2019). A brief history of artificial intelligence: On the past, present, and future of artificial intelligence. California Management Review, 61(4), 5-14.
Huang, M. H., & Rust, R. T. (2018). Artificial intelligence in service. Journal of Service Research, 21(2), 155-172.
IDC. (2020). Worldwide Artificial Intelligence Spending Guide. Framingham. Retrieved from https://www.idc.com/getdoc.jsp?containerId=IDC_P33198
Ismail, M. M., & Ghanawi, H. A. (2019). Building the optimal portfolio of stocks using the multi-purpose genetic algorithm - comparative analytical research on the Iraq Stock Exchange. Journal of Economics and Administrative Sciences, 25(113), 45-78.
Deesing, J. (2019). What is Artificial Intelligence?. www.lifewire.com, retrieved 7-10-2019.
Joyce, J. L., & Harris, L.A. (2018). Artificial Intelligence (AI) and education. In Focus, Congressional Research service, August. Retrived from www.crs.gov
Jubouri, N., & Salman, F. (2017). Expert systems and their impact on accounting information systems, Journal of the University Heritage College, 21, 279-300.
Geyskens, I., Keller, K. O., Dekimpe, M. G., & de Jong, K. (2018). How to brand your private labels. Business horizons, 61(3), 487-496.
Kumar, V., Rajan, B., Venkatesan, R., & Lecinski, J. (2019). Understanding the role of artificial intelligence in personalized engagement marketing. California Management Review, 61(4), 135-155.
Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607-610.
Lee, H., Choi, D., Yim, H., Choi, E., Go, W., Lee, T., ... & Lee, K. H. (2018). Feature selection practice for unsupervised learning of credit card fraud detection. Journal of Theoretical and Applied Information Technology, 96(2), 408-417.
Madkour, M. (2020). The future of humanity in the light of Strong Artificial Intelligence projects: Journal of Studies in the Humanities and Social Sciences, 3(1), 138-166.
McKinsey. April 23, 2020
Mendel, J. (2010). A short Fuzzy Logic Tutorial. April 2010
Minastireanu, E. A., & Mesnita, G. (2019). An Analysis of the Most Used Machine Learning Algorithms for Online Fraud Detection. Informatica Economica, 23(1).
Misra, A. K., & Sebastian, V. J. (2013). Portfolio optimization of commercial banks-an application of genetic algorithm. European Journal of Business and Management, 5(6), 120-129.
Morgan, R. (2018). What is Cyber Fraud? | DeltaNet. DeltaNet International. https://www.delta-net.com/compliance/fraud-awareness/faqs/what-is-cyber-fraud
MS, D. (2019). Application of Robotics in Accounting and Auditing of Business and Financial Information.
O'brien, J. A., & Marakas, G. M. (2005). Introduction to information systems (Vol. 13). New York City, USA: McGraw-Hill/Irwin.
O'brien, J. A., & Marakas, G. M. (2006). Management information systems (Vol. 6). McGraw-Hill Irwin.
Omoteso, K. (2012). The application of artificial intelligence in auditing: Looking back to the future. Expert Systems with Applications, 39(9), 8490-8495.
Osman, H., & Jamil, A. (2012, April). The possibility of using artificial intelligence techniques to control the quality of internal audit. In The eleventh annual scientific conference, Al-Zaytoonah University, Amman, Jordan (pp. 23-26).
Öztürk, M. S., & Usul, H. (2020). Detection of Accounting Frauds Using the Rule-Based Expert Systems within the Scope of Forensic Accounting. In Contemporary Issues in Audit Management and Forensic Accounting. Emerald Publishing Limited.
Paasch, C. A. (2008). Credit card fraud detection using artificial neural networks tuned by genetic algorithms. Hong Kong University of Science and Technology (Hong Kong).
Passino, K. M., Yurkovich, S., & Reinfrank, M. (1998). Fuzzy control (Vol. 42, pp. 15-21). Reading, MA: Addison-Wesley.
Ramya, B., & Umarani, V. (2017). Childhood Bone Marrow And Artificial Neural Network: IOSR Journal of Computer Engineering (IOSR-JCE), 5(1), 58-60
Russell, S., & Norvig, P. (2002). Artificial intelligence: a modern approach.
Sayamtini (12-7-2019). Top 12 Artificial Intelligence Tools & Frameworks you need to know.www.edureka.co, Retrieved 7-10-2019. Edited.
Shnawa, Wesam & AlBakri, Reyad. (2018). The role of artificial intelligence in achieving Customer satisfaction and its reflection on cost accounting An applied research in the Iraqi electronic industries company. Journal of Accounting and Financial Studies, 13(45).
Šubelj, L., Furlan, Š., & Bajec, M. (2011). An expert system for detecting automobile insurance fraud using social network analysis. Expert Systems with Applications, 38(1), 1039-1052.
Varmedja, D., Karanovic, M., Sladojevic, S., Arsenovic, M., & Anderla, A. (2019, March). Credit card fraud detection-machine learning methods. In 2019 18th International Symposium INFOTEH-JAHORINA (INFOTEH) (pp. 1-5). IEEE.
https://www.aitrends.com/financial-services/ai-in-fintech-helping-detect-fraud-assess-risk/#
Ajam, M. D. I. M. H. (2018). Artificial Intelligence and its Implications for High Performance Organizations-Exploratory Study in the Ministry of Science and Technology. Journal of Administration and Economics, 115.
Al-Bishtawi, S. H., Al-Buqami, M.A. (2015). The effect of applying expert systems in commercial banks on electronic audit procedures from the viewpoint of external certified accountants, a comparative study in the Hashemite Kingdom of Jordan and the Kingdom of Saudi Arabia. Jordan Journal of Business Administration, 11(1).
Askari, S. M. S., & Hussain, M. A. (2020). IFDTC4. 5: Intuitionistic fuzzy logic based decision tree for E-transactional fraud detection. Journal of Information Security and Applications, 52, 102469.
Balayan, V. (2020). Human-Interpretable Explanations for Black-Box Machine Learning Models: An Application to Fraud Detection (Doctoral dissertation, Universidade Nova de Lisboa).
Belabed, F., & Shawi, H. (2019). The role of expert systems in evaluating the performance of economic institutions. A collective book titled: Applications of artificial intelligence as a modern trend to enhance the competitiveness of business organizations, P85-100.
Buzerb, Kheireldeen, & Sahnon, Hiba. (2019). Artificial Intelligence and its Applications in the Banking Sector: Reading in the Indian Experience, HDFC Bank Case Study. A collective book titled: Applications of artificial intelligence as a modern trend to enhance the competitiveness of business organizations, P149-168.
Cazenave, T. (2011). Intelligence artificielle: une approche ludique. Ellipses.
Crevier, D. (1993). AI: the tumultuous history of the search for artificial intelligence. Basic Books, Inc..
Ebrahiem, A. (2018). The Role Of Using The Expert Systems In Improving The Quality Of The Managerial Decision A Field Study On The Banks Operating In The Syrian Coast. Tartous University Journal for Research and Scientific Studies -Economic and Legal Sciences Series, 2(4) 2028.
Ford, V., Siraj, A., & Eberle, W. (2014, December). Smart grid energy fraud detection using artificial neural networks. In 2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG) (pp. 1-6). IEEE.
Gamoura, S., Bey, M., & Kroush, H. (2018, February). Artificial Intelligence: Between the Reality and Hope Practical and Technical Studies in Management. International Forum "Artificial Intelligence: A New Challenge to Law", Algeria.
Goldmann, P., & Kaufman, H. (2009). Anti-fraud risk and control workbook. John Wiley & Sons.
Haenlein, M., & Kaplan, A. (2019). A brief history of artificial intelligence: On the past, present, and future of artificial intelligence. California Management Review, 61(4), 5-14.
Huang, M. H., & Rust, R. T. (2018). Artificial intelligence in service. Journal of Service Research, 21(2), 155-172.
IDC. (2020). Worldwide Artificial Intelligence Spending Guide. Framingham. Retrieved from https://www.idc.com/getdoc.jsp?containerId=IDC_P33198
Ismail, M. M., & Ghanawi, H. A. (2019). Building the optimal portfolio of stocks using the multi-purpose genetic algorithm - comparative analytical research on the Iraq Stock Exchange. Journal of Economics and Administrative Sciences, 25(113), 45-78.
Deesing, J. (2019). What is Artificial Intelligence?. www.lifewire.com, retrieved 7-10-2019.
Joyce, J. L., & Harris, L.A. (2018). Artificial Intelligence (AI) and education. In Focus, Congressional Research service, August. Retrived from www.crs.gov
Jubouri, N., & Salman, F. (2017). Expert systems and their impact on accounting information systems, Journal of the University Heritage College, 21, 279-300.
Geyskens, I., Keller, K. O., Dekimpe, M. G., & de Jong, K. (2018). How to brand your private labels. Business horizons, 61(3), 487-496.
Kumar, V., Rajan, B., Venkatesan, R., & Lecinski, J. (2019). Understanding the role of artificial intelligence in personalized engagement marketing. California Management Review, 61(4), 135-155.
Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607-610.
Lee, H., Choi, D., Yim, H., Choi, E., Go, W., Lee, T., ... & Lee, K. H. (2018). Feature selection practice for unsupervised learning of credit card fraud detection. Journal of Theoretical and Applied Information Technology, 96(2), 408-417.
Madkour, M. (2020). The future of humanity in the light of Strong Artificial Intelligence projects: Journal of Studies in the Humanities and Social Sciences, 3(1), 138-166.
McKinsey. April 23, 2020
Mendel, J. (2010). A short Fuzzy Logic Tutorial. April 2010
Minastireanu, E. A., & Mesnita, G. (2019). An Analysis of the Most Used Machine Learning Algorithms for Online Fraud Detection. Informatica Economica, 23(1).
Misra, A. K., & Sebastian, V. J. (2013). Portfolio optimization of commercial banks-an application of genetic algorithm. European Journal of Business and Management, 5(6), 120-129.
Morgan, R. (2018). What is Cyber Fraud? | DeltaNet. DeltaNet International. https://www.delta-net.com/compliance/fraud-awareness/faqs/what-is-cyber-fraud
MS, D. (2019). Application of Robotics in Accounting and Auditing of Business and Financial Information.
O'brien, J. A., & Marakas, G. M. (2005). Introduction to information systems (Vol. 13). New York City, USA: McGraw-Hill/Irwin.
O'brien, J. A., & Marakas, G. M. (2006). Management information systems (Vol. 6). McGraw-Hill Irwin.
Omoteso, K. (2012). The application of artificial intelligence in auditing: Looking back to the future. Expert Systems with Applications, 39(9), 8490-8495.
Osman, H., & Jamil, A. (2012, April). The possibility of using artificial intelligence techniques to control the quality of internal audit. In The eleventh annual scientific conference, Al-Zaytoonah University, Amman, Jordan (pp. 23-26).
Öztürk, M. S., & Usul, H. (2020). Detection of Accounting Frauds Using the Rule-Based Expert Systems within the Scope of Forensic Accounting. In Contemporary Issues in Audit Management and Forensic Accounting. Emerald Publishing Limited.
Paasch, C. A. (2008). Credit card fraud detection using artificial neural networks tuned by genetic algorithms. Hong Kong University of Science and Technology (Hong Kong).
Passino, K. M., Yurkovich, S., & Reinfrank, M. (1998). Fuzzy control (Vol. 42, pp. 15-21). Reading, MA: Addison-Wesley.
Ramya, B., & Umarani, V. (2017). Childhood Bone Marrow And Artificial Neural Network: IOSR Journal of Computer Engineering (IOSR-JCE), 5(1), 58-60
Russell, S., & Norvig, P. (2002). Artificial intelligence: a modern approach.
Sayamtini (12-7-2019). Top 12 Artificial Intelligence Tools & Frameworks you need to know.www.edureka.co, Retrieved 7-10-2019. Edited.
Shnawa, Wesam & AlBakri, Reyad. (2018). The role of artificial intelligence in achieving Customer satisfaction and its reflection on cost accounting An applied research in the Iraqi electronic industries company. Journal of Accounting and Financial Studies, 13(45).
Šubelj, L., Furlan, Š., & Bajec, M. (2011). An expert system for detecting automobile insurance fraud using social network analysis. Expert Systems with Applications, 38(1), 1039-1052.
Varmedja, D., Karanovic, M., Sladojevic, S., Arsenovic, M., & Anderla, A. (2019, March). Credit card fraud detection-machine learning methods. In 2019 18th International Symposium INFOTEH-JAHORINA (INFOTEH) (pp. 1-5). IEEE.
https://www.aitrends.com/financial-services/ai-in-fintech-helping-detect-fraud-assess-risk/#