自從1973年哈佛商學院教授Dr. David C. McClelland發表「職能」(competency)這個概念後，各種研究及數據皆早已證明職能用來預測傑出工作績效之重要性。本研究之個案公司，為目前台灣市場上唯一提供專業主管司機派遣服務者，曾榮獲經濟部新創事業金質獎，可說是一家相當有發展潛力的公司。但隨著業務量擴大，個案公司對於人才甄選與推薦的制度上漸感不足，因此本研究欲透過高階主管司機之職能模式的建立，提供一套客觀完善的人才甄選模式，並從中找出能有效預測高績效的職能項目，增益個案公司在經營管理上的幫助，使其增加經營績效，維持企業的永續發展。
本研究第一階段為質化研究取向，採專家訪談的方式建構出高階主管司機初步的職能模式，初步歸納六大職能群組和十一個職能項目；第二階段則採量化研究的方式，發展職能評鑑量表，分別針對個案公司高績效與一般績效的員工進行問卷調查，共回收94份有效問卷，透過因素分析和獨立樣本t檢定後，得到以下結論：
1. 確立高階主管司機之專業職能模式，共計六大職能群組，分別為車輛操控與管理、交通安全認知、忠誠可靠、服務態度與熱忱、主管行程時間管理、緊急事故處理能力。
2. 忠誠可靠和交通安全認知兩職能構面具鑑別性，可預測員工傑出績效。

Since 1973, Harvard Business School professor Dr. David C. McClelland issued the concept “competency”, various studies and data have proven this concept which are used to predict the outstanding performance. The case study company is the only one professional service company which provide executive managers’ drivers in Taiwan market and can be said that a considerable potentialcompany. But with the expansion of business, the company's selection system isn’t enough. This study develops a competency model and provides a comprehensive and objective selection criteria. And this study also find out four competency criterions to predict the performance effectively.
The first phase of this study is qualitative research approach, and construct the initial competency of drivers by interview. The second phase of quantitative research approach is adopted, the questionnaire is respectively send to the company's high-performance and the general performance employees. A total of 94 valid questionnaires, through the factor analysis and independent samples t test we get the following conclusion:
1. To establish a competency model on executive managers’ driver. There are six competency groups and 10 competency items, which aren vehicle control and management, traffic safety awareness, loyal and reliable, service attitude and enthusiasm, traffic time management of managers and emergency handling capabilities.
2. Loyal and reliable (including loyalty to supervisor, honesty and reliability), and traffic safety awareness (including traffic safety awareness attitude, knowledge of traffic laws) can predict outstanding employee performance.

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