Hybrid Crowd-based Decision Support in Business Processes: The Approach and Reference Model

Abstract

The paper proposes an approach and reference model for application of the crowd computing paradigm to solve the problem of decision making capacity lack in the conditions of fluctuating intensity of business processes and their continuous changes (e.g., the specifics of made decisions can change at certain decision making points within business processes). The proposed reference model for solving the task of intelligent decision support in business processes is based on the crowd computing, ontology-based modelling and decomposition of decision making tasks, crowd member profiling, choosing crowd members for particular decision making tasks taking into account their competences and preferences.