IMPACT OF ARTIFICIAL INTELLIGENCE ON BUSINESS TRANSFORMATIONS

Authors

  • Deshna Jain, Arin Jain Author

DOI:

https://doie.org/10.5281/hrthb563

Keywords:

Business Models, Automation, Robotic Process Automation, Robotic Process Automation, Artificial Intelligence,,

Abstract

Artificial Intelligence has emerged as a dynamic force reshaping business operation 
across diverse industries. It encompasses a broad spectrum of applications, from automation 
and data analytics to personalization and customer service. AI's growing significance in 
business value creation is undeniable. Organizations are increasingly relying on AI to gain a 
competitive edge and enhance their operations. However, despite substantial investments in 
time, effort, and resources, many AI initiatives end in failure due to a lack of comprehensive 
understanding of how AI technologies can create tangible business value. To address this 
knowledge gap, this paper presents a narrative review that identifies how organizations can 
effectively deploy AI and the mechanisms through which AI generates value. This review delves 
into the multifaceted influence of AI on businesses, discussing its implications for research, 
innovation, market deployment, and the evolving landscape of business models. Drawing 
insights from Neo-Schumpeterian economics, we explore the pivotal roles of innovation, 
knowledge, and entrepreneurship in AI-driven business transformations. The research model 
employed offers a three-dimensional perspective that navigates through the significant 
dimensions of AI's impact. As AI continues to evolve, businesses must navigate ethical, 
regulatory, and workforce-related considerations. This review underscores the evolving 
dynamics of AI in the business domain and its transformative potential in an increasingly AI
driven world.

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Published

2023-08-21

How to Cite

IMPACT OF ARTIFICIAL INTELLIGENCE ON BUSINESS TRANSFORMATIONS . (2023). Phoenix: International Multidisciplinary Research Journal ( Peer Reviewed High Impact Journal ), 1(3), 102-108. https://doi.org/10.5281/hrthb563