  For delivering products or services to their clients, organizations execute
manifold business processes. During such execution, upcoming process tasks need
to be allocated to internal resources. Resource allocation is a complex
decision-making problem with high impact on the effectiveness and efficiency of
processes. A wide range of approaches was developed to support research
allocation automatically. This systematic literature survey provides an
overview of approaches and categorizes them regarding their resource allocation
goals and capabilities, their use of models and data, their algorithmic
solutions, and their maturity. Rule-based approaches were identified as
dominant, but heuristics and learning approaches also play a relevant role.
