Utilization of Artificial Intelligence (AI) in Information Systems to Improve Business Efficiency
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Published:
Oct 31, 2023
Keywords:
Artificial Inteligence (AI), Business, Information Systems
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Articles
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Abstract
Artificial Intelligence (AI) in information systems is a tool that can be used to improve business efficiency. This research aims to review the utilization of AI in information systems, especially in the context of Accounting, Management Information Systems, and Human Capital Management Information Systems, it is very important to understand the potential and examples of applications that apply AI in information systems in a business context.The research uses a literature research methodology which synthesizes this literature review by grouping similar extracted data according to the results measured to answer the objectives. It was concluded that the utilization of artificial intelligence (AI) in Business Accounting Information Systems, Business Management Information Systems, and Business Human Capital Management Information Systems has great potential to improve business efficiency. AI can automate routine tasks, improve data analysis, and provide deeper insights in these three aspects of management. In addition, AI can also help in risk management, financial analysis, and better decision-making.
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How to Cite
Nasrullah, M. (2023). Utilization of Artificial Intelligence (AI) in Information Systems to Improve Business Efficiency. ProBisnis : Jurnal Manajemen, 14(5), 154–164. https://doi.org/10.62398/probis.v14i5.310
References
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Chen, Y., Biswas, M. I., & Talukder, M. S. (2022). The role of artificial intelligence in effective business operations during COVID-19. International Journal of Emerging Markets.
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Enholm, I. M., Papagiannidis, E., Mikalef, P., & Krogstie, J. (2022). Artificial intelligence and business value: A literature review. Information Systems Frontiers, 24(5), 1709-1734.
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Hamadneh, N., Saleh, M., Jawabreh, O., Tahir, M., Al Omari, R., & Shniekat, N. (2021). The Effect of Artificial Intelligence (AI) on the Quality and Interpretation of Financial Statements in the Hotels Classified in the AQABA Special Economic Zone (ASEZA).Preprints. https://doi.org/10.20944/preprints202105.0541.v1
Hashem, F., & Alqatamin, R. (2021). Role of artificial intelligence in enhancing efficiency of accounting information system and non-financial performance of the manufacturing companies. International Business Research, 14(12), 1-65.
Hunkenschroer, A. L., & Luetge, C. (2022). Ethics of AI-enabled recruiting and selection: A review and research agenda. Journal of Business Ethics, 178(4), 977-1007.
Ismagilova, E., Hughes, L., Dwivedi, Y. K., & Raman, K. R. (2019). Smart cities: Advances in research—An information systems perspective. International journal of information management, 47, 88-100.
Luo, J., Meng, Q., & Cai, Y. (2018). Analysis of the impact of artificial intelligence application on the development of accounting industry. Open Journal of Business and Management, 6(4), 850-856.
Mhlanga, D. (2022). Human-centered artificial intelligence: the superlative approach to achieve sustainable development goals in the fourth industrial revolution. Sustainability, 14(13), 7804.
Muris, J. E. M., Herder, E., Hoppenbrouwers, S. J. B. A., & Strieker, M. (2021). The Consequences of Artificial Intelligence in Human Capital Management in the Next Five to Ten Years.Thesis. Faculty of Science. Nijmegen: Radboud University
Pasquale, F. (2019). A rule of persons, not machines: the limits of legal automation. Geo. Wash. L. Rev., 87, 1.
Spring, M., Faulconbridge, J., & Sarwar, A. (2022). How information technology automates and augments processes: Insights from Artificial‐Intelligence‐based systems in professional service operations. Journal of Operations Management, 68(6-7), 592-618.
Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Dong, J. Q., Fabian, N., & Haenlein, M. (2021). Digital transformation: A multidisciplinary reflection and research agenda. Journal of business research, 122, 889-901.
Vrontis, D., Christofi, M., Pereira, V., Tarba, S., Makrides, A., & Trichina, E. (2022). Artificial intelligence, robotics, advanced technologies and human resource management: a systematic review. The International Journal of Human Resource Management, 33(6), 1237-1266.
Askary, S., Abu-Ghazaleh, N., & Tahat, Y. A. (2018). Artificial intelligence and reliability of accounting information. In Challenges and Opportunities in the Digital Era: 17th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2018, Kuwait City, Kuwait, October 30–November 1, 2018, Proceedings 17 (pp. 315-324). Springer International Publishing.
Berente, N., Gu, B., Recker, J., & Santhanam, R. (2021). Managing artificial intelligence. MIS quarterly, 45(3).
Bharadiya, J. P. (2023). Machine Learning and AI in Business Intelligence: Trends and Opportunities. International Journal of Computer (IJC), 48(1), 123-134.
Chen, Y., Biswas, M. I., & Talukder, M. S. (2022). The role of artificial intelligence in effective business operations during COVID-19. International Journal of Emerging Markets.
Davenport, T. H. (2018). From analytics to artificial intelligence. Journal of Business Analytics, 1(2), 73-80.
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., & Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994.
Enholm, I. M., Papagiannidis, E., Mikalef, P., & Krogstie, J. (2022). Artificial intelligence and business value: A literature review. Information Systems Frontiers, 24(5), 1709-1734.
Gelinas, U. J., Dull, R. B., & Wheeler, P. (2018). Accounting information systems. Boston : Cengage.
Grover, V., Chiang, R. H., Liang, T. P., & Zhang, D. (2018). Creating strategic business value from big data analytics: A research framework. Journal of management information systems, 35(2), 388-423.
Hamadneh, N., Saleh, M., Jawabreh, O., Tahir, M., Al Omari, R., & Shniekat, N. (2021). The Effect of Artificial Intelligence (AI) on the Quality and Interpretation of Financial Statements in the Hotels Classified in the AQABA Special Economic Zone (ASEZA).Preprints. https://doi.org/10.20944/preprints202105.0541.v1
Hashem, F., & Alqatamin, R. (2021). Role of artificial intelligence in enhancing efficiency of accounting information system and non-financial performance of the manufacturing companies. International Business Research, 14(12), 1-65.
Hunkenschroer, A. L., & Luetge, C. (2022). Ethics of AI-enabled recruiting and selection: A review and research agenda. Journal of Business Ethics, 178(4), 977-1007.
Ismagilova, E., Hughes, L., Dwivedi, Y. K., & Raman, K. R. (2019). Smart cities: Advances in research—An information systems perspective. International journal of information management, 47, 88-100.
Luo, J., Meng, Q., & Cai, Y. (2018). Analysis of the impact of artificial intelligence application on the development of accounting industry. Open Journal of Business and Management, 6(4), 850-856.
Mhlanga, D. (2022). Human-centered artificial intelligence: the superlative approach to achieve sustainable development goals in the fourth industrial revolution. Sustainability, 14(13), 7804.
Muris, J. E. M., Herder, E., Hoppenbrouwers, S. J. B. A., & Strieker, M. (2021). The Consequences of Artificial Intelligence in Human Capital Management in the Next Five to Ten Years.Thesis. Faculty of Science. Nijmegen: Radboud University
Pasquale, F. (2019). A rule of persons, not machines: the limits of legal automation. Geo. Wash. L. Rev., 87, 1.
Spring, M., Faulconbridge, J., & Sarwar, A. (2022). How information technology automates and augments processes: Insights from Artificial‐Intelligence‐based systems in professional service operations. Journal of Operations Management, 68(6-7), 592-618.
Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Dong, J. Q., Fabian, N., & Haenlein, M. (2021). Digital transformation: A multidisciplinary reflection and research agenda. Journal of business research, 122, 889-901.
Vrontis, D., Christofi, M., Pereira, V., Tarba, S., Makrides, A., & Trichina, E. (2022). Artificial intelligence, robotics, advanced technologies and human resource management: a systematic review. The International Journal of Human Resource Management, 33(6), 1237-1266.