English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 62797/95867 (66%)
造访人次 : 3733896      在线人数 : 399
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/121653


    题名: Being excellent: predicting team performance based on social cognitive theory and social identification theory
    作者: Lin, Chieh-Peng;Liu, Chu-Mei;Liao, Wei-Shan
    关键词: dysfunctional conflict;team performance;collective efficacy;hypercompetition
    日期: 2020-08-16
    上传时间: 2021-12-15 17:03:47 (UTC+8)
    出版者: Total Quality Management & Business Excellence
    摘要: This study proposes a model based on social cognitive theory and social identification theory to explain team performance in the technology industry. In the proposed model, dysfunctional conflict and hypercompetition indirectly correlate to team performance via the mediation of collective efficacy and teamwork engagement. At the same time, collective identification is hypothesised to moderate the effects of dysfunctional conflict and hypercompetition on collective efficacy and teamwork engagement, respectively. Empirical testing of this model using team personnel in high-tech firms confirms a seamlessly integrated applicability of social cognitive theory and social identification theory in high-tech work teams. Finally, managerial implications and research limitations are discussed.
    關聯: Total Quality Management & Business Excellence 31(11-12), p.1363-1380
    DOI: 10.1080/14783363.2018.1485483
    显示于类别:[國際企業學系暨研究所] 期刊論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    Being excellent predicting team performance based on social cognitive theory and social identification theory.pdf582KbAdobe PDF2检视/开启
    index.html0KbHTML30检视/开启

    在機構典藏中所有的数据项都受到原著作权保护.

    TAIR相关文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回馈