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題名:台灣失業求職者使用就業服務網站行為研究:融合TPC及UTAUT2模型觀點
作者:黃國裕
作者(外文):HUANG, KUO-YU
校院名稱:輔仁大學
系所名稱:商學研究所博士班
指導教授:莊雅茹
學位類別:博士
出版日期:2017
主題關鍵詞:失業求職者未失業求職者就業服務網站科技績效鏈延伸性整合科技與接受使用模型任務科技配適度unemployed jobseekersemployed jobseekersemployment websitestechnology-to-performance chain (TPC)extending the unified theory of acceptance and use of technology (UTAUT2)task-technology fit (TTF)
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本研究依據科技績效鏈(TPC)、延伸性整合科技與接受使用模型(UTAUT2)等理論,建構就業服務網站接受與使用行為及對求職績效表現的模型,以能較完整的解釋求職者的就業服務網站使用行為及其對求職績效的影響。本研究價值旨在一般消費者環境中結合任務科技配適度(TTF)與UTAUT2模型的前置預測因素(績效期望、預期努力、社會影響、促進條件、愉悅動機及習慣),探討TTF對UTAUT2模型前置預測因素的影響程度,並同時探討TTF與實際使用行為對個人績效表現的影響,使探討網路求職行為模式更加完整。
本研究對象為台灣北中南六個公立就業服務中心的求職者,問卷採便利抽樣調查方法取得有效問卷為885份,再分為428位失業求職者與457位未失業求職者兩群組,以偏最小平方法(PLS)進行測量及結構模式的驗證性因素分析,驗證研究模型內各潛在變項間的關係與差異。
研究結果顯示,TTF對UTAUT2模型的前置預測因素們,均達到顯著性的正向影響,同樣地TTF對個人求職績效的影響程度,明顯高於就業服務網站實際使用行為對個人求職績效的影響程度。習慣、績效期望及促進條件正向影響就業服務網站行為意圖,習慣及行為意圖正向影響就業服務網站實際使用行為。另外,失業求職者與未失業求職者群組間,研究模型的預測因素除促進條件對就業服務網站實際使用行為之路徑無顯著差異外,其餘路徑分析結果,皆有顯著性差異。
This study has developed a research model for acceptance of employment websites, user behavior and job-seeking performance based on theories including the technology-to-performance chain (TPC) and the unified theory of acceptance and use of technology (UTAUT2) for more comprehensive explanations regarding the effect of user behavior in employment websites on job-seeking performance. The value of this study lies in the research model for online job-seeking behavior made more comprehensive through the combination of task-technology fit (TTF) and the precursors identified in the UTAUT2 in a general consumer context for the purpose of examining the effects of TTF on these precursors as well as the effects of both TTF and actual user behavior on individual job-seeking performance.
For the purpose of this study, a survey was conducted on jobseekers that had registered with six public employment centers in North, Central and South Taiwan, had had experience with employment websites, and had been selected via convenient sampling for this survey. 885 valid questionnaires were obtained, which consisted of two groups: 428 unemployed jobseekers and 457 employed ones. The partial least squares (PLS) path modeling was applied for measurement and confirmatory factor analysis of the structured model to verify differences in the relations between the aforementioned latent variables.
The results of this study show that TTF has significant positive effects on the precursors identified in the UTAUT2, and similarly has effects on individual job-seeking performance, which are greater than those of actual user behavior in employment websites on the latter. Habit, performance expectancy and facilitating conditions all have positive effects on behavioral intention in employment websites while habit and behavioral intention both have positive effects on actual user behavior. In addition, except for no significant difference in the effects of facilitating conditions on actual user behavior in employment websites, the path analyses of the other factors reveal significant differences in their effects on the same between the unemployed and employed groups. The contribution of this study is the development of a research model that integrates TTF as a better indicator of individual job-seeking performance, the precursors identified in the UTAUT2, behavioral intention and user behavior, which has identified differences in the relations between the latent variables in this model.
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