Home / Current Issue / Paper 1702757
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
References
[1] Seyfried, J. (2019). Business Process Management in the Digital Age: Advancements in Data, Networks, and Opportunities. Universitaet Bayreuth (Germany).
[2] Ng, K. K., Chen, C. H., Lee, C. K., Jiao, J. R., & Yang, Z. X. (2021). A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives. Advanced Engineering Informatics, 47, 101246. https://doi.org/10.1016/j.aei.2021.101246
[3] Kumar, V., Ramachandran, D., & Kumar, B. (2021). Influence of new-age technologies on marketing: A research agenda. Journal of Business Research, 125, 864-877. https://doi.org/10.1016/j.jbusres.2020.01.007
[4] Tortorella, G. L., Saurin, T. A., Godinho Filho, M., Samson, D., & Kumar, M. (2021). Bundles of Lean Automation practices and principles and their impact on operational performance. International Journal of Production Economics, 235, 108106. https://doi.org/10.1016/j.ijpe.2021.108106
[5] Kothapalli, K. R. V. (2022). Exploring the Impact of Digital Transformation on Business Operations and Customer Experience. Global Disclosure of Economics and Business, 11(2), 103-114.
[6] Tyagi, A. K., Fernandez, T. F., Mishra, S., & Kumari, S. (2020, December). Intelligent automation systems at the core of industry 4.0. In International conference on intelligent systems design and applications (pp. 1-18). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-71187-0_1
[7] Butt, J. (2020). A conceptual framework to support digital transformation in manufacturing using an integrated business process management approach. Designs, 4(3), 17. https://doi.org/10.3390/designs4030017
[8] Tyagi, A. K., Fernandez, T. F., Mishra, S., & Kumari, S. (2020, December). Intelligent automation systems at the core of industry 4.0. In International conference on intelligent systems design and applications (pp. 1-18). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-71187-0_1
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},
}