Integration of Artificial Intelligence and Human Communication in Managerial Decision Making
Abstract
Background: The development of digital transformation has encouraged modern organizations to utilize artificial intelligence to improve decision-making effectiveness. However, the implementation of AI in organizations still requires the support of human communication to ensure effective information interpretation, organizational coordination, and the quality of managerial decisions. This study aims to analyze the effect of the integration of artificial intelligence and organizational communication on managerial decision-making in hospitality companies in Java and Bali.
Method: This study employed a quantitative approach with an explanatory research design. Data collection involved distributing questionnaires to 182 respondents, consisting of managers, supervisors, and professional staff in service, hospitality, education, and digital companies in Java and Bali. Data analysis used multiple linear regression with SPSS.
Results: The results of the study indicate that Artificial Intelligence has a positive and significant effect on managerial decision-making with a significance value of 0.000 < 0.05. Human communication also has a positive and significant effect on managerial decision-making with a significance value of 0.001 < 0.05. Simultaneously, artificial intelligence and human communication have a significant effect on managerial decision-making with a coefficient of determination of 64.8%. The results of the study indicate that the integration of AI and human communication is the most appropriate approach in creating an effective decision-making system based on human-centered management in the era of digital transformation.
Conclusion: This research provides theoretical contributions to the development of technology communication and digital management studies and provides practical implications for organizations in optimizing the use of AI by strengthening organizational communication.
References
Amoako, G., Omari, P., Kumi, D. K., Agbemabiase, G. C., & Asamoah, G. (2021). Artificial Intelligence and Better Entrepreneurial Decision-Making: The Influence of Customer Preference, Industry Benchmark, and Employee Involvement in an Emerging Market. Journal of Risk and Financial Management, 14(12), 604. https://doi.org/10.3390/jrfm14120604
Chen, V., Liao, Q. V., Vaughan, J. W., & Bansal, G. (2023). Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations. arXiv Preprint. https://doi.org/10.48550/arXiv.2301.07255
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (3rd ed.). Sage Publications.
Insirat, M. N. (2025). Analisis Dampak Implementasi AI Dalam Proses Pengambilan Keputusan Manajerial dan Implikasinya terhadap Etika Bisnis dan Keberlanjutan Organisasi. Owner: Riset dan Jurnal Akuntansi.
https://owner.polgan.ac.id/index.php/owner/article/view/2525
KORIKA. (2020). Strategi Nasional Kecerdasan Artifisial Indonesia 2020–2045. KORIKA.
Kulkov, I., Kulkova, J., Rohrbeck, R., Menvielle, L., Kaartemo, V., & Makkonen, H. (2024). Artificial intelligence-driven sustainable development: Examining organizational, technical, and processing approaches to achieving global goals. Sustainable Development, 32(3), 2253–2267. https://doi.org/10.1002/sd.2773
Lehner, O. M., Ittonen, K., Silvola, H., Ström, E., & Wührleitner, A. (2022). Artificial intelligence based decision-making in accounting and auditing: Ethical challenges and normative thinking. Accounting, Auditing & Accountability Journal, 35(9), 109–135. https://doi.org/10.1108/AAAJ-09-2020-4934
Lepri, B., Oliver, N., & Pentland, A. (2021). Ethical machines: The human-centric use of artificial intelligence. iScience, 24(3), 102249. https://doi.org/10.1016/j.isci.2021.102249
Morandini, S., Fraboni, F., De Angelis, M., Puzzo, G., Giusino, D., & Pietrantoni, L. (2023). The Impact of Artificial Intelligence on Workers’ Skills: Upskilling and Reskilling in Organisations. Informing Science, 26, 39–68. https://doi.org/10.28945/5078
Qosidah, N. (2024). Enhancing Employee Performance Through AI-Driven Organizational Communication. Jurnal Manajemen Informatika, 15(2), 45–57. https://jmi.stekom.ac.id/index.php/jmi/article/view/29
Scott Morton, Michael. 1970. Management Decision Systems.
Sugiyono. (2022). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Bandung: Alfabeta.
Zamrudi, Z. (2024). Artificial Intelligence in Communication Management: A Bibliometric Analysis. International Journal of Public Governance and Management, 4(1), 55–68. https://ojs.uniska-bjm.ac.id/index.php/IJPGM/article/view/17097
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