从自我决定理论的角度理解公务员的公共服务动机、退出行为和负责行为

IF 0.7 Q4 PUBLIC ADMINISTRATION
Shenghao Guo, Bo Wen, Xiaochun Zhu
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引用次数: 0

摘要

当代公共管理研究主要侧重于公共服务动机(PSM)的后果。然而,只有少数研究制定了与背景无关的测量量表,以反映这一核心概念的性质。本研究以自我决定理论(SDT)为基础,提出了一个新的 PSM 模型,并利用中国广东省的数据对基于 SDT 的 PSM 的两个行为要素进行了实证验证。具体而言,研究发现:(1) 公职人员的退出行为受外部 PSM 的正向影响,与识别型和内倾型 PSM 负相关,与内在型和综合型 PSM 无关;(2) 内倾型、内在型、识别型 PSM 与负责行为之间存在正向关系;(3) 综合型和外部型 PSM 没有显示出显著的结果效应。本文承认,基于 SDT 的 PSM 所依据的不同动机维度在刺激退缩行为和承担责任行为方面的重要性各不相同,因此,本文最后提出了 SDT 和 PSM 相关研究的未来议程,以丰富理论或启发实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding civil servants’ public service motivation, withdrawal behavior, and taking-charge behavior through the lens of self-determination theory
Contemporary public management research has focused heavily on the consequences of public service motivation (PSM). However, only a handful of studies have been conducted to develop context-indifferent measurement scales that reflect the nature of this central concept, which ranges along a continuum from controlled to autonomous motivation. This study proposes a new PSM model grounded in self-determination theory (SDT) and empirically validates two behavioral elements for the SDT-based PSM using data from Guangdong Province of China. Specifically, it is found that (1) the withdrawal behavior of public employees is positively influenced by their external PSM, negatively associated with identified and introjected PSM, and independent of intrinsic and integrated PSM; (2) there are positive relationships between introjected-, intrinsic-, identified-PSM, and taking-charge behavior; and (3) integrated and external PSM do not show significant outcome effects. Acknowledging that different motivational dimensions underlying the SDT-based PSM vary in their importance to the stimulation of withdrawal and taking-charge behaviors, the paper concludes with a future agenda for SDT- and PSM-related research that can be furthered in a manner that enriches theory or illuminates practice.
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来源期刊
Chinese Public Administration Review
Chinese Public Administration Review PUBLIC ADMINISTRATION-
CiteScore
0.80
自引率
0.00%
发文量
23
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