Artificial Intelligence a Catalyst for the Business Decision Making: A Conceptual Analysis

Abstract

Artificial intelligence is considered the fastest-growing technology globally in the second decade of the 21st century. Different information technology companies have introduced Numerous artificial intelligence applications globally, with their uses in different industry perspectives. The business sector is one of the leading sectors that is adopting the artificial intelligence tools for its decision-making processes. A qualitative-based conceptual analysis method was used to address the issue in question. The researcher has gathered vast literature based on artificial intelligence and developed some literature-based themes, which are the main business sector areas where they use artificial intelligence as a decision-making process. Based on the findings, the following themes: data-driven decision-making, machine learning, automation, Personalization and Customer Experience, and supply chain optimization were developed from the past literature. Based on these developed themes, this study recommends that future researchers test these themes quantitatively on artificial intelligence decision-making to enhance the generalizability of the findings further.