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Key research themes
1. How can structured frameworks improve the success rate and scalability of Robotic Process Automation (RPA) implementation projects?
This theme explores methodologies, frameworks, and lifecycle approaches to effectively plan, execute, and manage RPA projects. It addresses challenges like project failure, process selection, and the alignment of RPA with business process management, emphasizing structured and validated approaches for enhancing RPA adoption success.
Key finding: Developed and validated a flexible, multi-stage framework for RPA implementation based on 35 real-life projects and expert feedback, addressing up to 50% project failure rates. This framework highlights guided but adaptable... Read more
Key finding: Presented a design science research-based model synthesizing key RPA concepts from literature and case studies, emphasizing the criticality of early process selection and criteria for process suitability. It identified... Read more
Key finding: Introduced a novel early-phase RPA analysis method leveraging non-invasive monitoring of back-office staff interactions via screen-mouse-key logging, converting UI interactions into event logs for process discovery. Applied... Read more
Key finding: Designed a design science research artifact comprising a detailed, stepwise RPA investment appraisal method using process mapping, cost modeling, and discounted cashflow analysis. Field tested to demonstrate how the method... Read more
Key finding: Conducted a systematic review examining the managerial interface between Business Process Management (BPM) and RPA, revealing 30-50% failure rates and gaps in managerial clarity. The study emphasized the need for integrating... Read more
2. What are the critical process characteristics and performance indicators to guide the selection and automation of business processes using RPA efficiently?
This theme centers on identifying measurable factors, key performance indicators, and decision-making models to determine which processes are best suited for RPA. It explores methods for analyzing process complexity, frequency, error rates, and value contribution to optimize automation benefits and minimize risks associated with automation of inappropriate processes.
Key finding: Developed the Performance Analysis Method employing discrete event simulation and data analytics to predict profitability and time savings from transitioning specific business processes to RPA within a utility company. The... Read more
Key finding: Identified and synthesized criteria essential for determining task and process suitability for RPA, highlighting critical attributes such as rule-based nature, frequency, and exception rates. This work stressed the... Read more
Key finding: Through a systematic review, emphasized the importance of selecting rule-based, repetitive, and high-volume standardized tasks as ideal candidates for RPA, while recognizing limitations in human judgment requirements. The... Read more
Key finding: Presented the development of an intelligent RPA integrating predictive modeling to classify high-risk customer complaints and proactively communicate outage notifications. This case study demonstrated how augmenting... Read more
3. How is Robotic Process Automation transforming industry-specific business services, and what are the sectoral best practices for integrating RPA for operational excellence?
Focusing on RPA application contexts, this theme examines RPA-driven transformation in sectors such as banking, business services outsourcing, human resource management, and public auditing. It explores empirical insights into workflow improvements, cost reductions, compliance enhancement, and sustainable integration of RPA in distinct industries, highlighting sector-specific challenges and tailored implementation strategies.
Key finding: Provided a comprehensive literature review and market analysis identifying leading RPA developers and the most frequently automated business service tasks across SSC, BPO, and GBS centers. Demonstrated that RPA innovation... Read more
Key finding: Analyzed banking sector adoption of RPA emphasizing best practices such as focusing on repetitive process automation, integration with AI for data extraction and verification, and risk mitigation in digital transformation.... Read more
Key finding: Empirically showed that RPA enhances HRM efficiency in BFSI sectors by automating administrative HR tasks, streamlining recruitment, payroll, and compliance processes. The study leveraged UTAUT, TOE, and TFF models to... Read more
Key finding: Reviewed AI and RPA deployment in public finance auditing, revealing applications in fraud detection, real-time anomaly monitoring, compliance verification, and budget alignment. Case studies from the US, Nigeria, Kenya, and... Read more
Key finding: Investigated RPA adoption in major Philippine industries, finding RPA to be a strategic imperative driving operational efficiency, customer experience enhancement, workforce role evolution, and regulatory compliance.... Read more