ISSN 1671-3710
CN 11-4766/R
主办:中国科学院心理研究所
出版:科学出版社

心理科学进展 ›› 2015, Vol. 23 ›› Issue (2): 268-279.doi: 10.3724/SP.J.1042.2015.00268

• 研究前沿 • 上一篇    下一篇

工作投入的短期波动

陆欣欣1;涂乙冬2   

  1. (1中国人民大学劳动与人事学院, 北京 100872) (2武汉大学经济与管理学院, 武汉 430072)
  • 收稿日期:2014-03-10 出版日期:2015-02-14 发布日期:2015-02-14
  • 通讯作者: 涂乙冬, E-mail: ydtu@whu.edu.cn
  • 基金资助:

    国家自然科学基金项目(71372125, 71402127), 中国人民大学2014年度研究生科学研究基金项目(14XNH051)。

The Short-term Fluctuation of Work Engagement

LU Xinxin1; TU Yidong2   

  1. (1 School of Labor and Human Resources, Renmin University of China, Beijing 100872, China) (2 Economics and Management School, Wuhan University, Wuhan 430072, China)
  • Received:2014-03-10 Online:2015-02-14 Published:2015-02-14
  • Contact: TU Yidong, E-mail: ydtu@whu.edu.cn

摘要:

随着研究取向从静态到动态、从个体间到个体内部的转变, 工作投入的短期波动开始成为研究主流。针对国内尚未涉及工作投入波动研究的现状, 将引入状态性工作投入的概念, 并分析其波动的理论和构成来源。介绍了状态性工作投入的测量工具、日记研究和经验取样方法, 以及重复测量的多层线性模型。在分析现有工作投入波动理论、相关变量和边界条件的基础上, 构建了工作投入的研究框架, 总结了工作投入波动的形式。

关键词: 状态性工作投入, 短期波动, 个体内部视角, 研究框架, 多层线性模型

Abstract:

As research focus is shifting from static to dynamic approach and from between-person difference to within-person variation, short-term fluctuation of work engagement has dominated the mainstream of the extant literature. Considering that few studies have tapped work engagement fluctuation in mainland China, we introduced the concept of state work engagement and identified theoretical and compositional sources of its fluctuation. Furthermore, this paper illustrated instrument to assess state work engagement, diary study and experience sampling for data collection, as well as Hierarchical Linear Modeling with repeated measurement for data analysis in fluctuation research. Based on the literature review concerning theories, relates and boundary conditions of the relevant relations, the present paper established research framework of state work engagement and summarized the patterns of its fluctuation.

Key words: state work engagement, short-term fluctuation, within-person perspective, research framework, Hierarchical Linear Modeling