An integrated e-recruitment system for automated personality mining and applicant ranking

作者：Faliagka Evanthia^*; Tsakalidis Athanasios; Tzimas Giannis

来源：Internet Research, 2012, 22(5): 551-568.

DOI：10.1108/10662241211271545

• Recruitment
• Human resource management
• Selection
• Social networking sites
• Data mining
• Personality
• E-recruitment
• Personality mining
• Recommendation systems
• Analytic hierarchy process

Purpose - The purpose of this paper is to present a novel approach for recruiting and ranking job applicants in online recruitment systems, with the objective to automate applicant pre-screening. An integrated, company-oriented, e-recruitment system was implemented based on the proposed scheme and its functionality was showcased and evaluated in a real-world recruitment scenario. %26lt;br%26gt;Design/methodology/approach - The proposed system implements automated candidate ranking, based on objective criteria that can be extracted from the applicant%26apos;s LinkedIn profile. What is more, candidate personality traits are automatically extracted from his/her social presence using linguistic analysis. The applicant%26apos;s rank is derived from individual selection criteria using analytical hierarchy process (AHP), while their relative significance (weight) is controlled by the recruiter. %26lt;br%26gt;Findings - The proposed e-recruitment system was deployed in a real-world recruitment scenario, and its output was validated by expert recruiters. It was found that with the exception of senior positions that required domain experience and specific qualifications, automated pre-screening performed consistently compared to human recruiters. %26lt;br%26gt;Research limitations/implications - It was found that companies can increase the efficiency of the recruitment process if they integrate an e-recruitment system in their human resources management infrastructure that automates the candidate pre-screening process. Interviewing and background investigation of applicants can then be limited to the top candidates identified from the system. %26lt;br%26gt;Originality/value - To the best of the authors%26apos; knowledge, this is the first e-recruitment system that supports automated extraction of candidate personality traits using linguistic analysis and ranks candidates with the AHP.

• 出版日期2012