Abstract

Purpose: The purpose of this study article is to investigate the impact of AI (system capability, user behavior, training and development, and expert availability) on decision making in Bahrain telecommunications company. Theoretical framework: The deployment of AI systems has expanded tremendously in recent years, and decision making is no exception to its disruptive potential (Jones et al., 2022). AI algorithms and technologies are being used by organizations and individuals to assist and improve decision-making processes. To fully reap the benefits of AI, however, a thorough knowledge of the intricate interplay between AI and decision making is required. Design/methodology/approach: In this study, a quantitative research design is utilized since it permits statistical tools to be used to assess the association between variables. This quantitative study's research approach will be cross-sectional, with the goal of examining the role of artificial intelligence (AI) in decision making. Data were collected by questionnaire from a sample of 195 employees from a Bahraini telecommunications company. Findings: The results show that there was an association between all the artificial intelligence components and decision making. This finding is consistent with the previous studies, which claims that artificial intelligence lead to decision making (Prasanth, et al., 2023; Ferreira & Monteiro, 2021; Jarrahi, 2018). Research, Practical & Social implications: The AI has .the potential to totally revolutionize the way organizations make decisions. However, in order to preserve customer confidence and prevent unforeseen repercussions, enterprises must use AI responsibly and transparently. The use of AI for decision-making, both for businesses and consumers, is undeniably the way of the future. Originality/value: The value of the study understanding the impact of AI on decision making is becoming increasingly crucial as the technology advances. AI system integration can improve decision-making abilities, increase efficiency, reduce risks, offer access to expert information, and raise ethical concerns and obstacles in organizations.

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