Towards Intelligent Automation (IA): Literature Review on the Evolution of Robotic Process Automation (RPA), Its Challenges, and Future Trends

• Autorzy: Julia Siderska , Lili Aunimo , Thomas Süße , John von Stamm , Damian Kedziora , Suraya Nabilah Binti Mohd Aini
• Języki publikacji: EN

Abstrakty

EN

Robotic Process Automation (RPA) and Artificial Intelligence (AI) integration offer great potential for the future of corporate automation and increased productivity. RPA rapidly evolves into Intelligent Process Automation (IPA) by incorporating advanced technologies and capabilities beyond simple task automation. The paper aims to identify the organisational, technological, and human-centred challenges that companies face in transitioning from RPA to IPA. The research process involved conducting the scientific literature search using the ResearchRabbit AI tool, which provided a set of reference papers relevant to the formulated research questions. Asa result of the conducted literature review, the authors identified key challenges and possible countermeasures for companies transitioning from RPA to IPA. The resulting collection of reference scientific articles formed the basis for this study's content and substantive analysis. Furthermore, this study contributes by identifying artificial intelligence techniques and algorithms, such as Natural Language Processing (NLP),Machine Learning (ML), Deep Learning (DL), predictive analytics, and others, that can be integrated with RPA to facilitate the transition to IPA. The paper also offers insights into potential future research areas. (original abstract)

Słowa kluczowe

EN

Robotic Process Automation (RPA); Organization of production processes; Literature review

PL

Zrobotyzowana Automatyzacja Procesów; Organizacja procesów produkcyjnych; Przegląd literatury

• Czasopismo: Engineering Management in Production and Services
• Rocznik: 2023
• Numer: nr 4
• Strony: 90--103

Twórcy

autor

Julia Siderska

• Bialystok University of Technology

autor

Lili Aunimo

• Haaga-Helia University of Applied Sciences, Finland

autor

Thomas Süße

• Bielefeld University of Applied Sciences, Germany

autor

John von Stamm

• RWTH Aachen University, Germany

autor

Damian Kedziora

• Lappeenranta-Lahti University of Technology, Finland; Kozminski University

autor

Suraya Nabilah Binti Mohd Aini

• International Islamic University Malaysia, Malaysia

Bibliografia

• Agostinelli, S., & Marrella, A. (2022). Intelligent Robotic Process Automation: Generating Executable RPA Scripts from Unsegmented UI Logs, Retrieved from https://ceur-ws.org/Vol-3310/paper13.pdf
• Agostinelli, S., Lupia, M., Marrella, A., & Mecella, M. (2020). Automated generation of executable RPA scripts from user interface logs. In Business Process Management: Blockchain and Robotic Process Automation Forum, BPM 2020 Blockchain and RPA Forum (pp. 116-131). Springer International Publishing. doi: 10.1007/978-3-030-58779-6_8
• Agostinelli, S., Marrella, A., & Mecella, M. (2020). Towards Intelligent Robotic Process Automation for BPMers. Retrieved from https://arxiv.org/pdf/2001.00804.pdf
• Ahmad, H., Hanandeh, R., Alazzawi, F., Al-Daradkah, A., ElDmrat, A., Ghaith, Y., & Darawsheh, S. (2023). The effects of big data, artificial intelligence, and business intelligence on e-learning and business performance: Evidence from Jordanian telecommunication firms. International Journal of Data and Network Science, 7(1), 35-40. doi: 10.5267/j.ijdns.2022.12.009
• Al-Slais, Y., & Ali, M. (2023). Robotic Process Automation and Intelligent Automation Security Challenges: A Review. 2023 International Conference On Cyber Management And Engineering (CyMaEn), 71-77. doi: 10.1109/CyMaEn57228.2023.10050996.
• Asadov, R. (2023). Intelligent Process Automation: Streamlining Operations and Enhancing Efficiency in Management. Available at SSRN 4495188. doi: 10.2139/ssrn.4495188
• Baranauskas, G. (2018). Changing patterns in process management and improvement: using RPA and RDA in non-manufacturing organizations. European Scientific Journal, 14(26), 251-264. doi: 10.19044/esj.2018. v14n26p251
• Berruti, F., Nixon, G., Taglioni, G., & Whiteman, R. (2017). Intelligent process automation: The engine at the core of the next-generation operating model. Digital McKinsey, Retrieved from https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/intelligent-process-automation-the-engine-at-the-core-of-the-next-generation-operating-model

Identyfikatory

DOI

https://doi.org/10.2478/emj-2023-0030