An Overview of Knowledge Management Techniques for e-Recruitment
Jorge Martinez-Gil
Journal of Information & Knowledge Management (JIKM), 2014, vol. 13, issue 02, 1-9
Abstract:
The number of potential job candidates and therefore, costs associated with their hiring, has grown significantly in the recent years. This is mainly due to both the complicated situation of the labour market and the increased geographical flexibility of employees. Some initiatives for making the e-Recruitment processes more efficient have notably improved the situation by developing automatic solutions. But there are still some challenges that remain open since traditional solutions do not consider semantic relations properly. This problem can be appropriately addressed by means of a sub discipline of knowledge management called semantic processing. Therefore, we overview the major techniques from this field that can play a key role in the design of a novel business model that is more attractive for job applicants and job providers.
Keywords: Knowledge management; human resource management; e-Recruitment (search for similar items in EconPapers)
Date: 2014
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219649214500142
Access to full text is restricted to subscribers
Related works:
Working Paper: An Overview of Knowledge Management Techniques for e-Recruitment (2014) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wsi:jikmxx:v:13:y:2014:i:02:n:s0219649214500142
Ordering information: This journal article can be ordered from
DOI: 10.1142/S0219649214500142
Access Statistics for this article
Journal of Information & Knowledge Management (JIKM) is currently edited by Professor Suliman Hawamdeh
More articles in Journal of Information & Knowledge Management (JIKM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().