  Considering processes of a business in a recommender system is highly
advantageous. Although most studies in the business process analysis domain are
of descriptive and predictive nature, the feasibility of constructing a
process-aware recommender system is assessed in a few works. One reason can be
the lack of knowledge on process mining potential for recommendation problems.
Therefore, this paper aims to identify and analyze the published studies on
process-aware recommender system techniques on business process management and
process mining. A systematic review is run on 33 academic articles published
between 2008 and 2020 according to several aspects. In this regard, we provide
a state-of-the-art review with critical details and researchers with a better
perception of which path to pursue in this field. Moreover, based on a
knowledge base and holistic perspective, we discuss some research gaps and open
challenges in this field.
