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Web-service Based Human Resource Recruitment by Using Matchmaking Decision Support

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3 Author(s)
Gilbert H. L. Luk ; Hong Kong University of Science and Technology ; Dickson K. w. Chiu ; Ho-fung Leung

A good decision is made usually from gathering adequate information, working out the importance of individual factors, and choosing the best course of action. The quantity and quality of the information, the process of highlighting the important factors, and the duration to process the decision are critical. Nowadays, outsource hiring and recruitment companies have played an important role in many industries, for reducing the search duration and increasing the likeliness of employing the right person. However, there are too many human resource (HR) companies in the market. Submitting a request for each of them would need huge amount of time and effort to process. Intelligent autonomous Web services would be the best solution to solve this problem. Further, this can reduce the chance of human errors and bias. Therefore, e-HR Matchmaking Service (e-HR) is proposed to provide a standardized human resource searching, platform via the Web services, returning candidates from many different sources. The e-HR integrates with the sources¿ candidate management system and retrieves the relevant candidates matching the requirements. Also, the e-HR weights each result with configurable ranking criteria and presents the best matching results to the requesters, assisting them to make the best decision on hiring and hence reducing the effort of searching and interviewing.

Published in:

2006 10th IEEE International Enterprise Distributed Object Computing Conference Workshops (EDOCW'06)

Date of Conference:

16-20 Oct. 2006