PapersFlow Research Brief
Robotic Process Automation Applications
Research Guide
What is Robotic Process Automation Applications?
Robotic Process Automation Applications refer to the implementation of software robots to automate repetitive, rules-based business processes across industries such as audit, accounting, and manufacturing within Industry 4.0 frameworks.
The field encompasses 8,041 papers focused on RPA implementation, challenges, and integration with artificial intelligence and digital transformation. Key areas include auditing, accounting, and strategic business processes. Growth data over the past five years is not available.
Topic Hierarchy
Research Sub-Topics
Robotic Process Automation in Auditing
This sub-topic investigates RPA deployment for automating compliance checks, data extraction, and risk assessment in audits. Researchers develop frameworks for integration with traditional auditing practices.
RPA Implementation Challenges
Studies analyze barriers like process suitability, change management, and ROI measurement during RPA rollout. Focus includes case studies on failure modes and success factors across industries.
RPA and Artificial Intelligence Integration
This explores hyperautomation combining RPA with machine learning for intelligent process handling. Research covers cognitive RPA, NLP for unstructured data, and Industry 4.0 synergies.
RPA in Accounting and Finance Processes
Researchers examine RPA for reconciliations, invoice processing, and reporting in finance functions. Topics include blockchain intersections and regulatory compliance automation.
RPA for Digital Transformation Strategies
This sub-topic assesses RPA's role in enterprise-wide transformation, including workforce impacts and scalability. Studies provide maturity models and strategic roadmaps for Industry 4.0.
Why It Matters
RPA applications enable automation of repetitive tasks in auditing, allowing auditors to focus on higher-value analysis, as demonstrated by Moffitt et al. (2018) in 'Robotic Process Automation for Auditing,' where RPA disrupts traditional audit models by handling rules-based tasks. In public accounting, Big 4 firms implement RPA to streamline data input, processing, and output for mundane tasks, according to Cooper et al. (2019) in 'Robotic Process Automation in Public Accounting.' Aguirre and Rodríguez (2017) present a case study in 'Automation of a Business Process Using Robotic Process Automation (RPA): A Case Study,' showing practical automation in business processes. These applications support Industry 4.0 by combining RPA with AI, as reviewed by Ribeiro et al. (2021) in 'Robotic Process Automation and Artificial Intelligence in Industry 4.0 – A Literature review.'
Reading Guide
Where to Start
'Robotic Process Automation' by van der Aalst et al. (2018) provides the foundational overview as the most-cited paper with 604 citations, introducing core concepts without requiring prior expertise.
Key Papers Explained
van der Aalst et al. (2018) in 'Robotic Process Automation' establishes basics, extended by Syed et al. (2019) in 'Robotic Process Automation: Contemporary themes and challenges' which addresses implementation hurdles. Ribeiro et al. (2021) in 'Robotic Process Automation and Artificial Intelligence in Industry 4.0 – A Literature review' builds on these by reviewing AI integration. Aguirre and Rodríguez (2017) in 'Automation of a Business Process Using Robotic Process Automation (RPA): A Case Study' applies concepts practically, while Moffitt et al. (2018) in 'Robotic Process Automation for Auditing' specializes in audit contexts.
Paper Timeline
Most-cited paper highlighted in red. Papers ordered chronologically.
Advanced Directions
Recent preprints are unavailable, and news coverage from the last 12 months is absent, so frontiers remain anchored in established works like Huang and Vasarhelyi (2019) on auditing frameworks. Focus persists on RPA-AI intersections and process challenges from top papers.
Papers at a Glance
| # | Paper | Year | Venue | Citations | Open Access |
|---|---|---|---|---|---|
| 1 | Robotic Process Automation | 2018 | Business & Information... | 604 | ✓ |
| 2 | Robotic Process Automation: Contemporary themes and challenges | 2019 | Computers in Industry | 494 | ✓ |
| 3 | Robotic Process Automation and Artificial Intelligence in Indu... | 2021 | Procedia Computer Science | 439 | ✓ |
| 4 | Automation of a Business Process Using Robotic Process Automat... | 2017 | Communications in comp... | 404 | ✕ |
| 5 | Robotic Process Automation for Auditing | 2018 | Journal of Emerging Te... | 379 | ✕ |
| 6 | The Future Digital Work Force: Robotic Process Automation (RPA) | 2019 | Journal of Information... | 369 | ✓ |
| 7 | Robotic process automation | 2019 | Electronic Markets | 340 | ✕ |
| 8 | The Impact of Artificial Intelligence and Blockchain on the Ac... | 2020 | IEEE Access | 312 | ✓ |
| 9 | Robotic Process Automation in Public Accounting | 2019 | Accounting Horizons | 301 | ✕ |
| 10 | Applying robotic process automation (RPA) in auditing: A frame... | 2019 | International Journal ... | 279 | ✕ |
Latest Developments
Recent research highlights that AI integration, particularly generative AI and large language models, is transforming RPA applications, with predictions that 90% of RPA vendors will offer AI-assisted automation by 2025 (Blue Prism, published December 2025; Appian, January 2024). Additionally, advancements include the development of intelligent automation using LLMs and cognitive skills, along with significant market growth forecasts reaching USD 28.6 billion by 2031 (Mordor Intelligence, January 2026; RootsAnalysis, September 2025). Recent studies also emphasize the increasing role of AI-enhanced RPA, with ongoing research into integrating LLMs and AI agents to automate complex workflows (IEEE, November 2025; arXiv, May 2024).
Sources
Frequently Asked Questions
What is Robotic Process Automation?
Robotic Process Automation uses software robots to mimic human actions in repetitive, rules-based tasks. van der Aalst et al. (2018) define it in 'Robotic Process Automation' as a method for business process automation. It integrates with existing systems without requiring changes to underlying infrastructure.
How is RPA applied in auditing?
RPA automates rules-based, repetitive audit tasks, shifting auditor roles toward analysis. Moffitt et al. (2018) explain in 'Robotic Process Automation for Auditing' that it replaces manual perfunctory tasks. Huang and Vasarhelyi (2019) provide a framework in 'Applying robotic process automation (RPA) in auditing: A framework' for its structured use.
What challenges exist in RPA implementation?
Challenges include technical integration and process suitability for automation. Syed et al. (2019) identify contemporary themes and challenges in 'Robotic Process Automation: Contemporary themes and challenges.' These span industries and require addressing obstacles like scalability.
Which industries benefit from RPA in Industry 4.0?
RPA combines with AI in manufacturing and business processes under Industry 4.0. Ribeiro et al. (2021) review this in 'Robotic Process Automation and Artificial Intelligence in Industry 4.0 – A Literature review.' Applications appear in accounting and audit sectors.
What is the role of RPA in accounting firms?
RPA streamlines repetitive tasks in public accounting at Big 4 firms. Cooper et al. (2019) detail this in 'Robotic Process Automation in Public Accounting' through interviews with RPA leaders. It handles data input, processing, and output.
How does RPA case studies demonstrate its use?
Case studies show RPA automating specific business processes. Aguirre and Rodríguez (2017) provide an example in 'Automation of a Business Process Using Robotic Process Automation (RPA): A Case Study.' Such studies highlight practical implementation steps and outcomes.
Open Research Questions
- ? How can RPA scalability be improved for complex, unstructured processes in Industry 4.0 environments?
- ? What frameworks best integrate RPA with AI to overcome current auditing limitations?
- ? Which business processes remain resistant to full RPA automation despite rules-based designs?
- ? How do organizational challenges impact RPA adoption rates in accounting firms?
- ? What metrics accurately measure RPA's long-term ROI in digital transformation initiatives?
Recent Trends
The field holds 8,041 papers with no specified five-year growth rate.
Citation leaders remain van der Aalst et al. at 604 citations and Syed et al. (2019) at 494 citations.
2018No recent preprints or news from the last 12 months indicate stable focus on implementation challenges and auditing applications.
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