文章引用说明 更多>> (返回到该文章)

邵凤雨(2007). 基于胜任力模型的高校辅导员绩效管理模式研究. 硕士论文, 重庆: 重庆大学.

被以下文章引用:

  • 标题: 企业R & D员工胜任力模型的构建——以某市22名R & D员工为例The Construction of Competency Model of R & D Employees in Enterprises—A Research on 22 R & D Employees in a City

    作者: 高峰强, 郭苗, 朱新立, 王鹏

    关键字: 企业R & D员工, 胜任力, 行为事件访谈法R & D Employees in Enterprises, Competency, Behavior Event Interview

    期刊名称: 《Advances in Psychology》, Vol.5 No.5, 2015-05-27

    摘要: 目的:构建企业R & D员工的胜任力模型。方法:首先通过综合标准选取了两组企业R & D员工,优秀绩效组11名,一般绩效组11名;对其进行行为事件访谈,访谈内容是要求被访谈者讲述在工作中3件成功的和3件不成功的事。然后,通过对访谈录音转录的文本进行分析和编码。结果:企业R & D员工的核心胜任力包括:成就导向、自信、乐观精神、监控能力、全局观念、抗压能力、服务精神、献身组织精神、关系建立;企业R & D员工的基准胜任力包括:洞察力、企业归属感、责任感、态度谦和、坚持不懈、创新能力、务实严谨、科研能力、沟通能力、逻辑思维、影响能力、信息收集能力、积极主动、诚实正直、人际理解能力、组织意识、领导能力,合作精神、灵活性。结论:本研究构建的企业R & D员工胜任力模型有着较高的信度和效度,可以对此类员工的选拔、安置、晋升提供有针对性的专业参考。 Objective: To construct competency model of R & D employees in enterprises. Methods: Firstly, the superior group (n = 11) and ordinary group (n = 11) who were R & D employees in enterprises in a city were selected based on certain standards to conduct a behavior event interview (BEI), which contained three successful and failed experiences respectively. Then we analyzed and encoded the interview recording. Results: The employees’ core competencies included achievement orientation, self-confidence, optimism, monitoring capability, overall conception, capability against stress, spirit of service, a spirit of sacrifice, building relationship; the basic competencies were: insight, sense of belonging to enterprise, sense of responsibility, humble attitude, persistence, innovation ability, research capacity, communication capability, logical skills, ability to influence, information aggregation ability, initiatives, honesty and integrity, communicative competence, organization awareness, leadership, cooperation, flexibility. Conclusion: The competency model of high validity and reliability can provide pointed professional references for the selection, placement and pro-motion of R & D employees.

在线客服:
对外合作:
联系方式:400-6379-560
投诉建议:feedback@hanspub.org
客服号

人工客服,优惠资讯,稿件咨询
公众号

科技前沿与学术知识分享