Towards Process-Oriented Recommender Capabilities in Flexible Process Environments--State of the Art

The lack of flexibility during process execution has been commonly identified as a major drawback of classical process-aware information systems. Hence, in the last decade, extensive research has been done and multiple approaches concerning process flexibility have emerged. Since an increasing degree of freedom implies a decreasing inbuilt guidance regarding the way business processes are handled, the decision making about their execution is delegated to the personnel at runtime. Obviously, there is an imperative necessity for functionalities that support users in finding the right decisions during flexible runtime procedures. Concerning this matter, the following paper investigates the application of recommender systems as they are widely known from the e-commerce domain. Its main contribution is a profound state of the art analysis and an identification of current research gaps.