本研究嘗試透過工作抱怨的角度，去剖析員工的心理狀態，並特別聚焦於員工的離職傾向。本文從職場友誼與工作壓力的角度切入，探討上述二者心理概念是如何影響員工的離職傾向，並提出兩個相互競爭的中介模型。根據過去的研究發現，本文在推導員工離職傾向的心理歷程時，職場友誼與工作壓力皆可作為中介變項。故本研究透過實徵研究方式檢驗，何者作為中介變項時，可以描述員工的離職傾向。在研究方法上，本文除了採用傳統的問卷調查法之外，也使用了字詞分析的技術交叉檢驗兩個競爭模型。
本研究發現，工作壓力可以中介職場友誼對於離職傾向的效果；然而，職場友誼卻無法中介工作壓力對於離職傾向的效果。此一結果說明，兩個中介模型競爭結果，只有單一模型得到支持。更重要的是，該模型在問卷調查法與字詞分析結果上皆得到雙重驗證，確定了此一中介模型的穩定性與可複製性。競爭模型的結果除了填補了過去的研究發現缺口之外，在方法上，也展現字詞分析作為測量工具的可行性，以提供未來商管研究面對巨量資料時有更多分析策略的選擇。

This study attempts to dissect the mental state of employees from the perspective of job complaints, specifically focuses on employees' turnover intention. This study starts from the angle of workplace friendship and work stress to discuss how the above two psychological concepts affect the employee's turnover intention, and proposes two competing mediation models to examine. According to previous research findings, both workplace relationship and work stress can be used as mediating variables when explaining the psychological process of turnover intention. Therefore, this study examines which could be used as a mediating variable to describe the employee's turnover intention in an empirical approach.
In terms of research methods, in addition to the traditional questionnaire survey method, this study also uses the technique of language analysis to cross check two competing models. This study found that work stress mediates the effect of workplace relationship on turnover intention; however, workplace relationship does not mediate the effect of work stress on turnover intention. This finding indicates that only one model is supported among the two models in mediational analysis. More importantly, the model is cross-validated in questionnaires and language analysis, and the stability and reproducibility of this mediation model was determined. In addition to filling in gaps in the past research findings, the results of the competition model also show the feasibility of language analysis as a measurement tool to provide another analytical strategy for future business research to manage big data.

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