本研究旨在透過研究來瞭解在民意機關內員工對於職場上的領導行為、組織氣候與工作意度所知覺之情形,並且得知機關領導行為、組織氣候與工作滿意度之關係。本研究使用問卷調查法,以「民意機關領導行為、組織氣候與工作滿意度之研究問卷」為研究工具,對雲林縣各級民意機關,以普查方式研究調查,正式問卷總計發放202份,回收167份,有效問卷165份,可用率為98.80%。調查所得之有效樣本,採用SPSS 套裝軟體為主要分析工具,以描述性統計、t 檢定 (t-test) 、單因子變異數分析 (One-Way ANOVA)、Scheffe事後比較、LSD事後比較、皮爾森積差相關 (Pearson product-moment correlation)及迴歸分析等統計方法進行資料分析。 研究結果如下: 一、民意機關領導者透過關懷員工的領導行為,可使員工對組織氣候之各構面都有正向的知覺反應。 二、民意機關領導者透過關懷員工的領導行為使員工對工作滿意之各構面都有正向的知覺反應。 三、民意機關之組織氣候知覺反應愈高,員工的工作滿意度愈高。 四、民意機關領導行為與組織氣候對於工作滿意度具有預測力。
The purpose of this study is to understand the perceptions of leadership behavior, organizational climate, and job satisfaction in the workplace, and to understand the relationship among organizational leadership behavior, organizational climate, and job satisfaction at the local Democratic Organs. In this study, questionnaire survey was used to study “the Local Democratic Organs Leadership Behavior, Organizational Climate and Job Satisfaction questionnaire” of Yunlin County. The questionnaire was distributed to 202 people to the Yunlin County at all levels of the Local Democratic Organs, 167 were recovered, 165 valid questionnaires were available, and the availability rate was 98.80%. The data were analyzed by descriptive statistics, t-test, One-Way ANOVA, Scheffe ex post comparison, LSD post hoc comparisons, Pearson correlation analysis, Pearson product-moment correlation, and regression analysis were used to analyze the data. The results are as follows: First, the leader of Local Democratic Organs through the leadership of staff behavior, employees can make the climate of the organization have a positive perception of the various aspects of response.Second, the leaders of Local Democratic Organs through the care of staff leadership behavior so that employees are satisfied with the work of all facets have a positive perceptionThird, the organization of Local Democratic Organs, the higher the climate perception response, the higher the job satisfaction of employees. Finally, the behavior of public opinion leaders and organizational climate for job satisfaction has a predictive power.