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...

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Bibliographic Details
Published in2014 47th Hawaii International Conference on System Sciences pp. 1415 - 1424
Main Author Buettner, Ricardo
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.01.2014
Subjects
Correlation
Data mining
e-recruiting
Fabrics
Facebook
human resource management
Instruments
online social network
Organizations
person-organization fit
personality traits
recommender system
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Summary: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.
ISSN:1530-1605
2572-6862
DOI:10.1109/HICSS.2014.184