Business Process Management: Terms, Trends and Models

Abstract

Understanding the Business Process Management (BPM) subject is a complex and multifaceted task, which is why the goal of this study is to explore the scientific production concerning BPM in its many dimensions. In order to do so, the proposed methodology is quantitative, bibliometric and longitudinal, and uses the Semantic Network Analyses as a way to explore a large set of scientific documents. The foundation for this research included 765 articles about BPM. This study managed to limit the subject of BPM to the fields of Business Administration and Information Technology and estimate research trends in both fields. The quantitative method employed in this research study is considered to be a limiting factor, because it does permit large volumes of data to be analyzed, albeit with little depth. The achieved results allow IT and Business Administration to understand the dynamics of the scientific production network about BPM, in addition to identifying research trends in its field of study. Analysis of the BPM dimensions is innovatively achieved from the standpoint of semantic networks.