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The Impact of Automation On Business Process Efficiency and Accuracy: Enhancing Operational Performance in The Digital Age
Subject area: Science,Engineering and Technology · Area of research: Operational Performance
Abstract
Automation has emerged as a key driver in transforming modern business operations, significantly reducing errors, streamlining workflows, and improving both operational efficiency and cost management. This article delves into the critical role automation plays in industries like finance, healthcare, and manufacturing, backed by real-world case studies and supported by quantitative data. Additionally, it explores automations alignment with established business theories such as Lean, Six Sigma, and Digital Transformation Frameworks, offering a theoretical foundation for understanding its broader impacts. Moreover, this paper discusses future trends, including AI-driven automation and the ethical implications of widespread automation adoption. Submitted for peer review, this article aims to contribute to the ongoing academic discussion on automation and its implications for industries across the board.
Keywords
Business Process Automation, Operational Efficiency, Accuracy, Lean, Six Sigma, Digital Transformation, Robotic Process Automation (RPA), AI-Driven Automation, Industry Trends, Peer-Reviewed
How to cite this paper
@article{1702757,
author = {Harshit Sheth},
title = {The Impact of Automation On Business Process Efficiency and Accuracy: Enhancing Operational Performance in The Digital Age},
journal = {Iconic Research And Engineering Journals},
year = {2021},
volume = {4},
number = {12},
pages = {317-321},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1702757.pdf},
abstract = {Automation has emerged as a key driver in transforming modern business operations, significantly reducing errors, streamlining workflows, and improving both operational efficiency and cost management. This article delves into the critical role automation plays in industries like finance, healthcare, and manufacturing, backed by real-world case studies and supported by quantitative data. Additionally, it explores automations alignment with established business theories such as Lean, Six Sigma, and Digital Transformation Frameworks, offering a theoretical foundation for understanding its broader impacts. Moreover, this paper discusses future trends, including AI-driven automation and the ethical implications of widespread automation adoption. Submitted for peer review, this article aims to contribute to the ongoing academic discussion on automation and its implications for industries across the board.},
keywords = {Business Process Automation, Operational Efficiency, Accuracy, Lean, Six Sigma, Digital Transformation, Robotic Process Automation (RPA), AI-Driven Automation, Industry Trends, Peer-Reviewed},
month = {June},
}