Redefining Work and Outsourcing in the AI Era : Challenges and Opportunities

Kumar, Mohan, Nain, Neha, Dagar, Manju, Luu, Thi Minh Ngoc and Kaur, Kulpreet (2025) Redefining Work and Outsourcing in the AI Era : Challenges and Opportunities. In: Global Work Arrangements and Outsourcing in the Age of AI. IGI Global Scientific Publishing. ISBN 9798337312729

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Abstract

Artificial Intelligence (AI) is transforming industries by enabling machines to mimic human cognitive functions like learning, reasoning, and problem-solving. This chapter explores AI's core concepts, including machine learning, deep learning, and neural networks, along with its applications in healthcare, finance, supply chain management, and automation. AI enhances efficiency, optimizes decision-making, and drives innovation. The study examines AI-driven automation's impact on business processes, focusing on robotic process automation (RPA) in streamlining operations. Using bibliometric data and topic modeling, it identifies key trends, gaps, and future directions in AI research. Findings suggest AI will continue shaping technological advancements, influencing industries and human interactions with intelligent systems. This chapter serves as a resource for researchers, policymakers, and professionals navigating AI's evolving landscape and future implications.

Item Type: Book Section
Subjects: Social Sciences and humanities > Business, Management and Accounting > Business and International Management
Social Sciences and humanities > Business, Management and Accounting > General Management
Social Sciences and humanities > Business, Management and Accounting > Management of Technology and Innovation
Physical, Life and Health Sciences > Computer Science
Physical, Life and Health Sciences > Engineering and Technology
JGU School/Centre: Jindal Global Business School
Depositing User: Mr. Gautam Kumar
Date Deposited: 23 Jul 2025 06:19
Last Modified: 23 Jul 2025 06:19
Official URL: https://doi.org/10.4018/979-8-3373-1270-5.ch021
URI: https://pure.jgu.edu.in/id/eprint/9877

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