The rationale for studying AI's impact on business operations emphasizes AI's transformative role, akin to historic innovations like the steam engine and the internet. AI enhances decision-making, personalizes customer experiences, and provides predictive insights with remarkable accuracy, as highlighted by Agrawal, Gans, & Goldfarb (2022) [1]. This exploration is crucial for understanding the evolution of the business world, with the MIT Sloan Management Review indicating a future of innovation and growth (Ransbotham, Kiron, Gerbert, & Reeves, 2017)
[15].
In the context of a rapidly evolving global market, understanding AI's contributions is vital for firms seeking to innovate and adapt. AI streamlines operations and spurs creativity, with notable advancements like collaborative robotics significantly improving operational efficiency and quality control (Othman, Bahrin, and Azli 2016) [3]. The surge in online transactions in the digital age necessitates robust security frameworks, where AI plays a key role. Cai & Zhu (2015) [6] demonstrate how AI algorithms can efficiently process large datasets in real-time, enhancing digital security against fraudulent activities.
Furthermore, businesses leverage AI to analyze market sentiments, extracting insights from unstructured data like user reviews and social media. Studies like Bollen, Mao, and Zeng's (2011) [5] work show how AI can predict market trends, such as stock market movements, based on social media mood metrics. This focus on AI is more than academic interest; it's a call for businesses to adapt and prosper in the face of the digital age's opportunities and challenges.
TABLE 2: DESCRIPTIVE RATIONAL FOR EXPLORING THIS TOPIC