科技部專題研究計畫主持人
MOST- 105-2410-H-259 -016 -SSS
負面領導行為前因與後果的探討:不當督導與威權領導為例
Exploring the antecedents and consequences of negative leadership: abusive leadership and authoritative leadership as examples
科技部
Ministry of Science and Technology
國立東華大學企業管理學系暨研究所
National Dong Hwa University Department of Business Administration
林家五
Chia-wu Lin
國立東華大學企業管理學系暨研究所
National Dong Hwa University Department of Business Administration
林家五
教授
(03)890-3026
jwlin@gms.ndhu.edu.tw
計畫執行期間起:2016-08-01
計畫執行期間迄:2017-07-31
2017-01-20
2017-03-30
母體界定於部屬與主管接觸頻率高的台灣各大保險公司的保險從業人員; 排除服務未滿六個月的員工; 對象的工作性質涵蓋業務外勤或行政內勤。
1
003
01
不當督導;內隱部屬理論;威權領導;原型部屬;領導-部屬交換關係
abusive leadership;implicit followership theory(IFT);authoritative leader;prototype;leader-employee exchange(LMX)
領導研究,在近期已經從天真地探討正面領導風格的潮流,開始正視負面領導的現象。西方基礎的不當督導,與東方基礎的威權領導,正好是負面領導風格的兩種代表。因此,架構一個完整前因與後果的分析,將有助於我們更瞭解此兩 種領導風格。本計畫第一年,欲從內隱部屬理論的觀點,探討不當督導(Abusive leadership)的前因,也就是當部屬被主管認為不符合好部屬的原型(prototype)時,會如何反應?哪些調節因素,會強化(弱化)此種負面對待(不當督導)?第二 年,將從領導者的價值觀出發,探討威權領導的正、負面效果。近年來,針對領 導前因,多數強調領導者的特質或領導者的自我概念,相對較少研究從內隱觀點 與價值觀來探討。本計畫規劃同時從主管、部屬觀點與脈絡多種視角,以內隱部屬理論(implicit followership theory, IFT)、價值觀及個人認知為基礎,探討負面領 導的前因與後果。具體而言,本研究將嘗試驗證兩個架構(進行兩個不同樣本的 調查研究);探討當主管知覺部屬是反原型、主管具社會支配價值時,在脈絡因素(部屬自尊、LMX)變數的調節下,是否容易讓部屬知覺到他們的負面領導行為。
The purpose of this project is to investigate the factors that shape followers’ perception of negative leaders, ex. abusive leader and authoritative leader. Based on the literature on implicit followership theory (IFT), leaders’ value and cognitive preference, it was hypothesized that leaders’ perception of anti-prototype of followers and the interaction with followers’ self-esteem, LMX would predict followers’ perception of abusive leadership, which would then induce bad performance(1st year project). And, the hypothesized mediation model would be moderated by contextual factors, such as counter-factual thinking. For 2nd year project, we proposed the social dominance orientation of leaders will associate with authoritative leadership and employee’s identification (positive consequence), but also leads to poor performance (negative consequence). Planned to collect two empirical data for the verification of these two models.
否,無直接識別資料
除檢查有無可識別個人身份資料外,另檢查個案編號是否重複、變項及選項數值說明是否與問卷一致或未被定義,發現前述狀況時,將於確認後協助修改。
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