Work

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

Year: 2014

Type: conference-paper

Abstract: 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.

Source: Hawaii International Conference on System Sciences (HICSS)

DOI: 10.1109/hicss.2014.184

Author: Ricardo Buettner

Institution: FOM University of Applied Sciences for Economics and Management

Language: English

Topic: AI and HR Technologies

Subfield: Organizational Behavior and Human Resource Management

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: bronze

Funder: Bundesministerium für Bildung und Forschung

Award: G3948184909