The Role of Robotic Process Automation (RPA) in Enhancing Operational Efficiency and Optimizing Resource Allocation in Business Organizations

Authors

  • Dr. Mujtaba Ali Assistant Professor, Department of Business Administration, University of Management and Technology (UMT).
  • Hushi Asim Lecturer, Department of Business Administration, University of Management and Technology (UMT).

Abstract

In finance, human resources, procurement, customer operations and compliance, and other business areas, repetitive rules-based tasks are becoming one of the more important ways to automate through the use of Robotic Process Automation (RPA). However, its organizational worth is not just about task speed—automation has the potential to alter the way a task is done, technology spending, managerial focus and investment cash. This paper suggests a research-based approach to the assessment of RPA's effectiveness on the efficiency of business operations and the effect of RPA on the capital reallocation in the corporate workforce. It synthesizes the findings of research on the value of business process automation, the value of information systems, organizational change and business process automation governance to provide a multi-dimensional evaluation model. The model combines process level indicators (cycle time, throughput, error rates, service quality, exception rates) with financial level indicators (total cost of ownership, net present value, payback period, realised benefits). It also takes into account the impact on the workforce, such as task redesign, reskilling, redeployment and employee experience. It is recommended to use a mixed method evaluation design, which incorporates pre- and post-implementation process data, comparison groups (if available), financial data, and employee interviews. No findings, facts, or observations are made up in the paper, but it makes claims of propositions that could be tested, and gives a practical roadmap for implementation. The critical concept is that when the right processes are identified, when RPA bots are considered a production asset, when end-to-end results are measured and when released capacity is planned for new, higher value processes and not just as a ‘headcount reduction initiative', the value created by RPA is sustainable.

 

Downloads

Published

2021-12-27