The Utilization of Artificial Intelligence in Decision-Making and Its Effect on Organizational Advancement

Main Article Content

Dr. Abdul Wahab Samad

Abstract

This study utilizes a quantitative approach to examine the influence of decision-making (X1) and the understanding of artificial intelligence (AI) theory (X2) in organizational development (X3). Data acquired from surveys and documents were analyzed using the Partial Least Squares (PLS) approach, and SmartPLS software was used for hypothesis testing. The data suggest that decision-making has a very favorable impact on the development of organizations, but understanding AI theory has a very negative impact. This research emphasizes techniques for improving the deployment of artificial intelligence in order to promote the growth of organizations by incorporating quantitative analysis, ethical issues, and Industry 4.0 technology.

Article Details

Section
Articles

References

Bag, S., Gupta, S., Kumar, A., & Sivarajah, U. (2021). An integrated artificial intelligence framework for knowledge creation and B2B marketing rational decision-making for improving firm performance. Industrial marketing management, 92, 178-189.

Borges, A. F., Laurindo, F. J., Spínola, M. M., Gonçalves, R. F., & Mattos, C. A. (2021). The strategic use of artificial intelligence in the digital era: Systematic literature review and future research directions. International journal of information management, 57, 102225.

Christopoulos, V. N., Andersen, K. N., & Andersen, R. A. (2018). Extinction is a deficit of the decision-making circuitry in the posterior parietal cortex. Handbook of Clinical Neurology, 151, 163-182.

Collins, C., Dennehy, D., Conboy, K., & Mikalef, P. (2021). Artificial intelligence in information systems research: A systematic literature review and research agenda. International Journal of Information Management, 60, 102383.

Damayanto, B., & Andriani, L. (2018). Pengaruh Personal Selling Terhadap Keputusan Pembelian Produk Pada PT. Angsana Jaya. SJEE (Scientific Journals of Economic Education), 2(1), 26-35.

Fatimah, F. (2020). Pengambilan keputusan multi hesitant N-soft sets. Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), 4(6), 1110-1116.

Goerigk, M., & Hartisch, M. (2024). An Introduction to Robust Combinatorial Optimization. International Series in Operations Research and Management Science.

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.

Hakim, A. R. (2023). Konsep manajemen sumber daya manusia terhadap kesejahteraan rakyat di era tantangan digital. Journal of Economics and Business UBS, 12(4), 2672-2682.

Mahanum, M. (2021). PENGAMBILAN KEPUTUSAN DAN PERENCANAAN KBIJAKAN. SABILARRASYAD: Jurnal Pendidikan dan Ilmu Kependidikan, 6(1), 154-163.

Mikalef, P., Conboy, K., & Krogstie, J. (2021). Artificial intelligence as an enabler of B2B marketing: A dynamic capabilities micro-foundations approach. Industrial Marketing Management, 98, 80-92.

Nasution, A. H., Siraih, A., & Nasor, M. (2023). The PERSPEKTIF DAN PERKEMBANGAN TEORI ORGANISASI. UNISAN JURNAL, 2(9).

Paschen, J., Wilson, M., & Ferreira, J. J. (2020). Collaborative intelligence: How human and artificial intelligence creates value along the B2B sales funnel. Business Horizons, 63(3), 403-414.

Ramadhana, R. Z., & Nasution, M. I. P. (2024). Analisis Dampak Penerapan Teknologi AI pada Pengambilan Keputusan Strategis dalam Sistem Informasi Manajemen. Jurnal Ilmiah Research and Development Student, 2(1), 161-168.

Ransbotham, S., Gerbert, P., Reeves, M., Kiron, D., & Spira, M. (2018). Artificial intelligence in business gets real. MIT Sloan management review.

Shin, S., & Kang, J. (2022). Structural features and diffusion patterns of Gartner hype cycle for artificial intelligence using social network analysis. Journal of Intelligence and Information Systems, 28(1), 107-129.

Tyagi, S., Kargeti, H., Tiwari, R., Chauhan, S. S., & Kumar, R. (2023, December). Unveiling Revolutionary Applications of Intelligent Technologies Like AI and ML in Real-World Settings. In 2023 International Conference on Advanced Computing & Communication Technologies (ICACCTech) (pp. 581-585). IEEE.