Learning demand and job autonomy of IT personnel: Impact on turnover intention
學年 100
學期 1
出版（發表）日期 2011-11-01
作品名稱 Learning demand and job autonomy of IT personnel: Impact on turnover intention
作品名稱（其他語言）
著者 Shih, Sheng-pao; Jiang, James J.; Klein, Gary; Wang, Eric
單位 淡江大學資訊管理學系
出版者 Kidlington: Pergamon
著錄名稱、卷期、頁數 Computers in Human Behavior 27(6), pp.2301-2307
摘要 Information technology jobs require a significant amount of learning to maintain currency and perform expected activities, more so than in many other professions. The sheer volume of learning can increase work exhaustion, with a negative effect on turnover. However, jobs can be designed to provide a large amount of autonomy over pace and process in the hands of the IT employee. According to job demand and control models, the ability of an employee to pace oneself and make task decisions can lessen negative impacts. From another perspective, IT employees differ in their desires to learn as part of personal and career growth. Thus, negative effects of learning demand should be lessened by the IT employee’s motivation to learn, and motivation is a crucial antecedent in turnover models. A model based on the job demand-control model establishes and tests these relationships and finds them to hold in a sample of 306 IT employees. Work exhaustion is reduced by instilling job autonomy in the presence of learning demands and motivation, which then lessens turnover intentions of the IT workers.
關鍵字 Information technology personnel; Learning demand; Job control; Job autonomy; Learning motivation; Work exhaustion
語言 en
ISSN 0747-5632 1873-7692
期刊性質 國外
收錄於 SSCI
產學合作
通訊作者 Klein, Gary
審稿制度
國別 GBR
公開徵稿
出版型式 紙本
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