How to cite this paper
Abusalma, A. (2021). The effect of implementing artificial intelligence on job performance in commercial banks of Jordan.Management Science Letters , 11(7), 2061-2070.
Refrences
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Agrawal, A., Gans, J. S., & Goldfarb, A. (2019b). Artificial intelligence: the ambiguous labor market impact of automat-ing prediction. Journal of Economic Perspectives, 33(2), 31-50.
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.
Alhashmi, S. F., Salloum, S. A., & Abdallah, S. (2019, October). Critical success factors for implementing artificial intel-ligence (AI) projects in Dubai Government United Arab Emirates (UAE) health sector: applying the extended technol-ogy acceptance model (TAM). In International Conference on Advanced Intelligent Systems and Informatics (pp. 393-405). Springer, Cham.
Aljaber, G. M. O. (2020). The Impact of Artificial Intelligence (AI) on the Efficiency of Accounting Systems in Jordanian Banks, Unpublished MA Thesis, Department of Accounting, Middle East University, Jordan.
Atom, B. (2019). Neural networks in information technology, E3arabi, from: https://e3arabi.com/.
Baltzan, P. & Phillips, A. (2008). cBusiness Driven Information Systems, McGraw-Hill/Irwin, New York.
Bikeev, I., Kabanov, P., Begishev, I., & Khisamova, Z. (2019). Criminological risks and legal aspects of artificial intelli-gence implementation. In Proceedings of the International Conference on Artificial Intelligence, Information Pro-cessing and Cloud Computing (pp. 1-7).
Chukwudi, O. L., Echefu, S. C., Boniface, U. U., & Victoria, C. N. (2018). Effect of Artificial Intelligence on the Perfor-mance of Accounting Operations among Accounting Firms in South East Nigeria. Asian Journal of Economics, Busi-ness and Accounting, 7(2), 1-11.
Farhi, E. (2017). Administrative empowerment and its impact on job performance, Unpublished master's thesis, to obtain a master's degree in sociology, development and management of human resources, Al-Arabi Al-Mahdi University, Su-dan.
Frank, M. R., Autor, D., Bessen, J. E., Brynjolfsson, E., Cebrian, M., Deming, D. J., ... & Wang, D. (2019). Toward under-standing the impact of artificial intelligence on labor. Proceedings of the National Academy of Sciences, 116(14), 6531-6539.
Kamble, R., & Deepali, S. (2018). Applications of Artificial Intelligence in Human Life. International Journal of Re-search – Granthaalayah, 6(6).
Kenji, S. (2013). Artificial Neural Network: Architectures and Applications. McGraw-Hill/Irwin, New York.
Kharshi, F. (2019). The effectiveness of the job performance of human resources management and its role in achieving dis-tinguished performance", Unpublished master's thesis, to obtain a master's degree in Administration and management Department, University of Muhammad Boudiaf Al-Masila, Algeria.
Koopmans, L., Bernaards, C. M., Hildebrandt, V. H., De Vet, H. C., & Van der Beek, A. J. (2014). Construct validity of the individual work performance questionnaire. Journal of Occupational and Environmental Medicine, 56(3), 331-337.
Kumar, M. (2018). Understanding Genetic Algorithms in the Artificial Intelligence Spectrum, from: https://medium.com/.
Mazaryazdi, A & Soleimani, K. (2010). The Necessity of Using Expert Systems in Finance and Accounting Realm. Tadbir Journal, 27.
Muda, I., Rafiki, A., & Harahap, M. R. (2014). Factors Influencing Employees’ Performance: A Study on the Islamic Banks in Islamic Science University of Malaysia University of North Sumatera. International Journal of Business and Social Sience, 5(2), 73–81.
O'Brien, A. J. (2000). Introduction to Information Systems, Essentials for the Internetworked Enterprise. 9/d., McGraw-Hill/ Irwin Inc.
Petropoulos, G. (2018). The impact of artificial intelligence on employment. Praise for Work in the Digital Age, 119.
Pradhan, R. K., & Jena, L. K. (2017). Employee performance at workplace: conceptual model and empirical validation. Business Perspectives and Research, 5(1), 69–85. doi.org/10.1177/2278533716671630.
Ramdani, Z., Marliani, R., & Rahman, A. A. (2019). The individual work performance scale: A psychometric study and its application for employee performance. Humanities & Social Sciences Reviews, 7(5), 405-414.
Sayidy (2018). The impact of artificial intelligence technologies on human resources and employment. Electronic maga-zine money and business, from: https://www.sayidy.net/article/102131.
Scherer, M. U. (2016). Regulating Artificial Intelligence Systems: Risks, Challenges, Competencies, and Strategies. Har-vard Journal of Law & Technology, 29(2).
Sekaran, U. (2011). Research methods for business: A skill building approach. John Wiley & Sons.
Shaw, J., Rudzicz, F., Jamieson, T., & Goldfarb, A. (2019). Artificial intelligence and the implementation chal-lenge. Journal of Medical Internet Research, 21(7), e13659.
Shi, Z. (2019). Advanced artificial intelligence (Vol. 4). World Scientific.
Shukla, S., & Vijay, J.F. (2013). Applicability of Artificial Intelligence in Different Fields of Life, International Journal of Scientific Engineering and Research (IJSER), 1(1).
Simin, S. S. & Malekian, F. & Alizadeh, F. & Taheri, M. & Ashouri, A. (2013). Investigate the Effect of Expert Systems Application on Management Performance. International Journal of Contemporary Research in Business, 4(12).
Tuomi, I. (2018). The Impact of Artificial Intelligence on Learning, Teaching, and Education. Policies for the future, Eds. Cabrera, M., Vuorikari, R & Punie, Y., EUR 29442 EN, Publications Office of the European Union, Luxembourg, ISBN 978-92-79-97257-7, doi:10.2760/12297, JRC113226.
Agrawal, A., Gans, J. S., & Goldfarb, A. (2019b). Artificial intelligence: the ambiguous labor market impact of automat-ing prediction. Journal of Economic Perspectives, 33(2), 31-50.
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.
Alhashmi, S. F., Salloum, S. A., & Abdallah, S. (2019, October). Critical success factors for implementing artificial intel-ligence (AI) projects in Dubai Government United Arab Emirates (UAE) health sector: applying the extended technol-ogy acceptance model (TAM). In International Conference on Advanced Intelligent Systems and Informatics (pp. 393-405). Springer, Cham.
Aljaber, G. M. O. (2020). The Impact of Artificial Intelligence (AI) on the Efficiency of Accounting Systems in Jordanian Banks, Unpublished MA Thesis, Department of Accounting, Middle East University, Jordan.
Atom, B. (2019). Neural networks in information technology, E3arabi, from: https://e3arabi.com/.
Baltzan, P. & Phillips, A. (2008). cBusiness Driven Information Systems, McGraw-Hill/Irwin, New York.
Bikeev, I., Kabanov, P., Begishev, I., & Khisamova, Z. (2019). Criminological risks and legal aspects of artificial intelli-gence implementation. In Proceedings of the International Conference on Artificial Intelligence, Information Pro-cessing and Cloud Computing (pp. 1-7).
Chukwudi, O. L., Echefu, S. C., Boniface, U. U., & Victoria, C. N. (2018). Effect of Artificial Intelligence on the Perfor-mance of Accounting Operations among Accounting Firms in South East Nigeria. Asian Journal of Economics, Busi-ness and Accounting, 7(2), 1-11.
Farhi, E. (2017). Administrative empowerment and its impact on job performance, Unpublished master's thesis, to obtain a master's degree in sociology, development and management of human resources, Al-Arabi Al-Mahdi University, Su-dan.
Frank, M. R., Autor, D., Bessen, J. E., Brynjolfsson, E., Cebrian, M., Deming, D. J., ... & Wang, D. (2019). Toward under-standing the impact of artificial intelligence on labor. Proceedings of the National Academy of Sciences, 116(14), 6531-6539.
Kamble, R., & Deepali, S. (2018). Applications of Artificial Intelligence in Human Life. International Journal of Re-search – Granthaalayah, 6(6).
Kenji, S. (2013). Artificial Neural Network: Architectures and Applications. McGraw-Hill/Irwin, New York.
Kharshi, F. (2019). The effectiveness of the job performance of human resources management and its role in achieving dis-tinguished performance", Unpublished master's thesis, to obtain a master's degree in Administration and management Department, University of Muhammad Boudiaf Al-Masila, Algeria.
Koopmans, L., Bernaards, C. M., Hildebrandt, V. H., De Vet, H. C., & Van der Beek, A. J. (2014). Construct validity of the individual work performance questionnaire. Journal of Occupational and Environmental Medicine, 56(3), 331-337.
Kumar, M. (2018). Understanding Genetic Algorithms in the Artificial Intelligence Spectrum, from: https://medium.com/.
Mazaryazdi, A & Soleimani, K. (2010). The Necessity of Using Expert Systems in Finance and Accounting Realm. Tadbir Journal, 27.
Muda, I., Rafiki, A., & Harahap, M. R. (2014). Factors Influencing Employees’ Performance: A Study on the Islamic Banks in Islamic Science University of Malaysia University of North Sumatera. International Journal of Business and Social Sience, 5(2), 73–81.
O'Brien, A. J. (2000). Introduction to Information Systems, Essentials for the Internetworked Enterprise. 9/d., McGraw-Hill/ Irwin Inc.
Petropoulos, G. (2018). The impact of artificial intelligence on employment. Praise for Work in the Digital Age, 119.
Pradhan, R. K., & Jena, L. K. (2017). Employee performance at workplace: conceptual model and empirical validation. Business Perspectives and Research, 5(1), 69–85. doi.org/10.1177/2278533716671630.
Ramdani, Z., Marliani, R., & Rahman, A. A. (2019). The individual work performance scale: A psychometric study and its application for employee performance. Humanities & Social Sciences Reviews, 7(5), 405-414.
Sayidy (2018). The impact of artificial intelligence technologies on human resources and employment. Electronic maga-zine money and business, from: https://www.sayidy.net/article/102131.
Scherer, M. U. (2016). Regulating Artificial Intelligence Systems: Risks, Challenges, Competencies, and Strategies. Har-vard Journal of Law & Technology, 29(2).
Sekaran, U. (2011). Research methods for business: A skill building approach. John Wiley & Sons.
Shaw, J., Rudzicz, F., Jamieson, T., & Goldfarb, A. (2019). Artificial intelligence and the implementation chal-lenge. Journal of Medical Internet Research, 21(7), e13659.
Shi, Z. (2019). Advanced artificial intelligence (Vol. 4). World Scientific.
Shukla, S., & Vijay, J.F. (2013). Applicability of Artificial Intelligence in Different Fields of Life, International Journal of Scientific Engineering and Research (IJSER), 1(1).
Simin, S. S. & Malekian, F. & Alizadeh, F. & Taheri, M. & Ashouri, A. (2013). Investigate the Effect of Expert Systems Application on Management Performance. International Journal of Contemporary Research in Business, 4(12).
Tuomi, I. (2018). The Impact of Artificial Intelligence on Learning, Teaching, and Education. Policies for the future, Eds. Cabrera, M., Vuorikari, R & Punie, Y., EUR 29442 EN, Publications Office of the European Union, Luxembourg, ISBN 978-92-79-97257-7, doi:10.2760/12297, JRC113226.