Analyzing the Impact of Robotic Process Automation (RPA) on Productivity and Firm Performance in the Service Sector

Robotic Process Automation (RPA) has emerged as a transformative technology in the service sector, enabling organizations to automate repetitive and rule-based tasks with minimal human intervention. This study investigates the impact of RPA implementation on productivity and overall firm performance within service-oriented businesses. Using a mixed-method approach, quantitative data were collected from 50 service firms that have adopted RPA technologies, complemented by qualitative insights from managerial interviews. The findings reveal that RPA significantly enhances operational efficiency by reducing process cycle times, minimizing errors, and lowering operational costs. These productivity gains directly contribute to improved financial outcomes and customer satisfaction, key indicators of firm performance. Furthermore, the study highlights critical success factors such as employee training, change management, and technology integration that influence the effectiveness of RPA deployment. However, challenges related to workforce adaptation and initial investment costs are also discussed. This research provides valuable empirical evidence for service sector firms considering RPA adoption, emphasizing that strategic implementation can lead to sustainable competitive advantages. The study contributes to the growing body of knowledge on digital transformation by linking RPA technology with measurable improvements in productivity and firm performance, offering practical recommendations for managers and policymakers aiming to optimize automation strategies.

@article{Huda2025,
  title     = {Analyzing the Impact of Robotic Process Automation (RPA) on Productivity and Firm Performance in the Service Sector},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {16},
  number    = {6},
  year      = {2025},
  publisher = {The Science and Information Organization},
  author    = {Miftakul Huda and Agus Rahayu and Chairul Furqon and Mokh Adib Sultan and Neng Susi Susilawati Sugiana},
  doi       = {10.14569/IJACSA.2025.0160635},
  url       = {https://doi.org/10.14569/IJACSA.2025.0160635}
}