A Framework for Recommender Systems in Online Social Network Recruiting: An Interdisciplinary Call to Arms

I sketch an interdisciplinary framework for recommender systems searching online social networks for future employees. In contrast to previous approaches my Framework covers the whole person-organization environment (P-OE) fit, and so it also includes crucial social components (e.g. workgroup fabric, and organizational culture). In a rudimentary way I show how information extracted from online social networks can be used to determine the P-OE fit. Due to a more accurate way of calculating the P-OE fit my framework facilitates higher quality recommendations. Furthermore my framework enables a better understanding of the P-OE fit problem.