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    請使用永久網址來引用或連結此文件: http://ir.lib.ncu.edu.tw/handle/987654321/43947


    題名: 廖健智CHIEN-CHIH LIAO2010-06-11
    作者: 廖健智;CHIEN-CHIH LIAO
    貢獻者: 人力資源管理研究所碩士在職專班
    關鍵詞: 工作適性量表;Job Adaptive Test
    日期: 2010-06-11
    上傳時間: 2010-12-08 14:44:02 (UTC+8)
    出版者: 國立中央大學
    摘要: 工作適性量表之效度驗證 -以某宅配物流公司為例 摘要 對宅配公司來說,如何找到自主性高、工作動機高昂的員工,成為公司成功與否之關鍵。沒有一套系統化的甄選工具,將大大提高招募到不合適人員的風險。本研究之個案公司因應公司未來發展之需要,透過導入適性量表,希望藉由客觀化的數據,作爲員工甄選的標準。 本研究嘗試相關學術文獻所提之研究基礎,並經統計分析驗證適性量表與個案公司工作績效之間的關聯性。進而探討適性量表在甄選個案公司(sales driver, SD)上的可行性以及可能之運用性,並確定適性量表之工作績效預測做爲個案公司在招募甄選與訓練之參考。 本研究發現,受測SD的工作性格中,外向性、合群性、謹慎度、主動性及創新性與平均集配件數呈現正相關;外向性、合群性及創新性與物販成績呈現正相關;外向性、主動性與創新性與自責貨故發生率呈現顯著正相關;穩定性及責任心與自責客訴發生率有顯著負相關。 最後結合分析結果向個案公司提出管理上之建議,希望能對個案公司的經營有所助益。The Validation of Job Adaptive Test - A case of the delivery service company ABSTRACT To a delivery company, the key to success is to employ a high autonomy and good work motivation employee. If we do not have systemic selection tools, the risk of employing inappropriate workers would be raised a lot. In this study, in order to fit the future development, the case company wants to set an employment standard through the applicability scale. This paper attempts to relevant academic literature referred to basic of literature, Job Adaptive Test of analysis to verify the company with the case of the correlation between working performance. Investigating the appropriate scale of SD in the selection of cases on the feasibility of the company and the possibly usage. Determining the validity of the test, as a selection of cases in the recruitment and training reference. It is found that, among the SD’s character, ambition, extraversion, teamwork have a positive impact on selling performance and the number of new contracts. While Ambition, extraversion, teamwork, care, initiative and innovation have a negative impact on self-blame incidences. Stability is a negative impact on complaints from customers. At last, this paper provides some suggestions to the case company in accordance with the empirical conclusions, which may good to the delivery industry
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