根據相關研究公司調查,求職者大多利用線上人力銀行網站來進行求職的動作,比例明顯高於其他傳統方式;由此可知國人利用網路來進行線上求職已經成為趨勢。然而,國內多數人力銀行系統以興趣、價值觀、人格特質等角度幫助職位與求職者的配對,這對於企業所開出的職缺與求職者之間媒合度是否真正落實有待商榷。 為改善職缺與求職者間差異度,本研究設計一套以案例式推理方法結合職能模式觀點建置一套類似人力銀行求職的職能差異分析系統,使企業能夠使用此系統開出職缺及設定職缺相關職能,接著系統可對現有求職者進行職能差異分析及排名,讓求職者了解職缺相關所需職能也可以讓系統推薦最適合求職給公司,進而提升公司職缺與求職者之間的合適度。
According to research company survey, most candidate use online website for job action was significantly higher than other traditional methods; people use the Internet to conduct online job search has become a trend. However, the majority of domestic banking systems to human interests, values, personality traits, help pairing candidate, is open to question whether this is really implement degrees for matchmaking between enterprises out of job openings and job seekers. In order to improve this situation. Therefore, this study designs a system for candidate and enterprises. Using competency mode and case base reasoning. This study established a much more efficient system for the hiring companies and job applicants to match their job demand and needs. Through this process, the system can gradually produce a list of recommended candidates. Recommend the most suitable candidates for enterprises.
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