Integration of Artificial Intelligence and Robotic Process Automation Literature Review and Proposal for a Sustainable Model
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DOI:
https://doi.org/10.67228/30715725/IJIARE-2018PI1X5RPublished 03-04-2018
Artificial Intelligence, Robotic Process Automation, Integration, Sustainable Model, Social Impact, Environmental Impact Issue
Section
ArticlesAbstract
This paper investigates the integration of Artificial Intelligence (AI) and Robotic Process Automation (RPA), aiming to optimize organizational efficiency while addressing the social and environmental implications of these technologies. Through a systematic literature review, the study identifies existing gaps and proposes a sustainable model that balances technological advancement with responsible adoption.
References
[1] Mary C. Lacity & Leslie P. Willcocks. (2016). Robotic process automation: The next transformation lever for shared services. London School of Economics.
[2] Mary C. Lacity, Leslie P. Willcocks, & Andrew Craig. (2015). Robotic process automation at Telefónica O2. MIS Quarterly Executive, 14(1), 21–35.
[3] Thomas H. Davenport & Rajeev Ronanki. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116.
[4] Erik Brynjolfsson & Andrew McAfee. (2017). Machine, platform, crowd: Harnessing our digital future. W. W. Norton & Company.
[5] Ajay Agrawal, Joshua Gans, & Avi Goldfarb. (2018). Prediction machines: The simple economics of artificial intelligence. Harvard Business Review Press.
[6] Aguirre, S., & Rodriguez, A. (2017). Automation of a business process using robotic process automation (RPA): A case study. Applied Computer Sciences in Engineering.
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