BPMN-KIPC : uma extensão BPMN para atividade de colaboração em processos intensivos em conhecimento

Abstract

In this dissertation, we analyze the challenges of knowledge-intensive processes, which are essentially dependent on the knowledge and experience of the professionals involved. These processes are observed in sectors such as research, innovation, healthcare, and consulting and are fundamental to the modern economy. The complexity and unpredictable nature of these processes requires flexible and adaptive approaches. In addition, collaboration is essential for knowledge-intensive processes, as it involves specialists contributing their skills to achieve common goals. However, modeling collaborative processes still presents challenges due to the context, diversity of information, and complexity of shared tasks. To fill these gaps, this work aims to present an extension to the BPMN notation that will enable the modeling of collaborative activity in PIC. To do this, we conducted two reviews, identifying relevant characteristics and outlining the research opportunity. After presenting the proposed extension, we carried out an evaluation using a proof of concept and a survey. As a result, we concluded that the extension can assist knowledge workers who collaborate to perform information-intensive tasks and decisions based on knowledge artifacts.