Enhancing Business Operations Through Microlearning, BPM and RPA

Abstract

Abstract This paper aims to investigate the impact of emerging technologies such as microlearning, Business Process Modelling (BPM) and Robotic Process Automation on business operations. In the first part, we did a literature review and defined the key concepts underlying these technologies. Microlearning caters to the modern learner by offering short, effective learning bursts that align well with the fast pace of today's work environments. BPM accelerates the process of delivering learning content specific to microlearning modules by optimizing specific workflow. RPA contributes by automating routine tasks using bots, improving the learning experience by providing instant materials, support and feedback. In the second part, we conducted a bibliometric research with the help of VOSViewer, focusing on an analysis of the co-occurrence of keywords specific to the 3 technologies, highlighting research trends and patterns, the impact of research in terms of citation analysis, but also research gaps on a topic. A future perspective was outlined for the implementation of these technologies in business environments, analyzing their impact and presented a section with case studies, highlighting common challenges and offering possible solutions. Summarizing all this, it can be said that the synergy between these 3 technologies has obvious advantages such as increasing productivity, optimizing administrative processes, reducing costs, and improving learning experiences, but it can also pose implementation problems specific to adopting new technologies in a constantly changing environment.