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題名 人力招募網站行動裝置應用程式之使用意願影響因素研究——以104人力銀行為例
A Study on the Influencing Factors of Use Intention for Mobile Application of Job Search Website — Taking 104 Job Search Service as an Example作者 邱昱綺
Chiu, Yu-Chi貢獻者 張愛華<br>韓志翔
Chang, Ai-Hwa<br>Han, Tzu-Shian
邱昱綺
Chiu, Yu-Chi關鍵詞 整合型科技接受模型
線上人力招募
人力招募應用程式
網站使用經驗
Theory of Acceptance and Use of Technology
E-recruitment
Job Search Application
Website User Experience日期 2021 上傳時間 2-Sep-2021 18:19:45 (UTC+8) 摘要 行動裝置的移動性與隨時維持登入的特性有利於培養黏著度更高的使用者，隨著行動裝置普及，人力招募平台紛紛推出行動裝置服務，目前網站對於求職者來說仍是不可或缺的求職管道，求職者經常跨載具使用線上人力招募服務，因此本研究希望可以了解影響求職者採用應用程式的因素，並且分析網站的使用經驗對於應用程式行為意圖發展的影響。本研究以整合型科技接受模型（UTAUT）為基礎（Venkatesh, Morris, Davis, G. B. & Davis, F. D., 2003），考量績效預期、努力預期與社群影響，並加入知覺風險與即時性兩項因素，針對有求職需求且使用過104人力銀行網站與應用程式的使用者發放問卷，並針對求職者對於目前「104工作快找」應用程式的使用心得進行調查。 研究結果顯示績效預期、努力預期、社群影響、知覺風險與即時性皆為影響應用程式行為意圖的重要構念，其中以績效預期與社群影響的影響最大。而越長期使用網站，績效預期以及即時性對於行為意圖的影響會降低，努力預期以及知覺風險的影響力則會提高。網站使用頻率越高，績效預期的影響會降低，社群影響的影響效果會提高。對於網站的整體評價越高，會提高績效預期對使用意圖的影響，即時性影響程度則會降低。此外，介面是否直覺使用是求職者滿意的主要因素，而職缺豐富為採用應用程式的重要原因，然而卻也認為職缺品質參差不齊有待改善。對於大部分求職者來說，應用程式目前仍與網站搭配使用，應用程式提供即時性與移動性，有助於提高使用者的黏著度，然而大部分求職者仍偏好使用網站投遞職缺與編輯履歷，因此網站與應用程式發展不應偏廢，應善用不同載具獨特的優勢，使兩者相輔相承，面對行動裝置趨勢則需要加強應用程式的易用性，使介面更加符合直覺操作。最後，職缺數量與品質是求職者關注的核心，應盡可能在豐富平台上職缺的同時把關職缺品質，如此才能使企業擁有長期競爭力。
The mobility of mobile devices and the ability to keep logged in any time are conducive to cultivating users with higher stickiness. With the growing popularity of mobile usage, e-recruiting platform companies have launched mobile device services. Job seekers often use online human recruitment services on both PC and mobile phone. The websites are still an indispensable job seeking channel for users. In view of this, this research develops a model based on Unified Theory of Acceptance and Use of Technology (UTAUT) (Venkatesh, Morris, Davis, G.B. & Davis, F.D., 2003) and aims to explore the factors that influence the behavioral intentions of using apps, and to examine the impact of website usage experience. The constructs include Performance Expectancy, Effort Expectancy and Social Influence, Perceived Risks and Mobility. Using an online survey of users with both 104 Job Search website and application experiences.The research results show that Performance Expectancy, Effort Expectancy, Social Influence, Perceived Risk, and Immediacy are all important constructs that affect application behavioral intentions. Among them, Performance Expectancy and Social Influence have the greatest impact. The research also finds out the longer you use the website, the lower the impacts of Performance Expectancy and Immediacy are, and the greater the impacts of Effort Expectancy and Perceived Risk are. The higher the frequency of website usage, the lower the impact of Performance Expectancy is, and the greater the impact of Social Influence is. The higher the overall evaluation of the website, the higher the impact of Performance Expectancy is, and the lower the impact of Immediacy is.This research also collected job seekers’ experience of using the 104 Job Search app, and found that an intuitive interface is the main factor for job seekers’ satisfaction. The richness of job vacancies is an important reason for adopting the app, but the quality of job openings is still a concern and needs to be improved.Most job seekers are both application and website users. While application provides mobility, which helps to increase user stickiness, most job seekers still prefer to use the website to apply for jobs and edit resumes. Therefore, application development should be as important as website development and the advantages of different devices should be utilized to make greatest synergy. With the global mobile trends, it is necessary for e-recruiting companies to enhance the ease of use of the application, make it more compatible and intuitive operational. Finally, because the number and quality of job vacancies are the core concerns of job seekers, the long-term competitiveness of e-recruiting platform companies depends on how great their abilities are to provide opportunities as many as possible but ensure the quality at the same time.參考文獻 一、 中文文獻余鑑、于俊傑、鄭宇珊與張文卿（2012）。有關台灣旅遊業在行動學習的使用意願之研究。中華管理評論，15（3），1-29。孫思源、羅月秀、趙珮如與吳章瑤（2008）。人力資源招募網站使用意向影響因素之探討。人力資源管理學報，8（3），1-23。陳寬裕（2018）。 結構方程模型分析實務： SPSS 與 SmartPLS 的運用。 五南圖書出版股份有限公司。粟四維與莊友豪（2009）。Wiki使用者與使用行為之研究。電子商務學報，11（1），185-212。劉仲矩與潘彥蓁（2019）。人力資源網站美學建構衡量重要性分析之研究。科技與人力教育季刊，5（3），53-69。郭俊桔（2019）。電子雜誌 Apps 上閱讀介面設計之探討。圖資與檔案學刊，94， 92-127。二、 英文文獻Adipat, B., Zhang, D., & Zhou, L. (2011). The effects of tree-view based presentation adaptation on mobile web browsing. Mis Quarterly, 99-121.Ajzen, I. (1991). 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Journal of the American society for information science, 51(14), 1253-1268.三、 網站資源Alexa (2021, May 29). Competitive analysis, marketing mix and traffic. Retrieved from https://www.alexa.com/siteinfo/104.com.tw#section_trafficBlacker, A. & Lenahan, M. (2021). Worldwide & US Download Leaders 2020. Apptopia. Retrieved from https://blog.apptopia.com/worldwide-us-download-leaders-2020Deloitte Touche Tohmatsu Limited (2012). So many apps –So little to download. Retrieved from https://www.mondaq.com/uk/it-and-internet/192692/so-many-apps--so-little-to-downloadForrester Research (2010). How Mature Is Your Mobile Strategy? Retrieved from https://www.forrester.com/report/How+Mature+Is+Your+Mobile+Strategy/-/E-RES57180Statista (2020). Number of smartphone users worldwide from 2016 to 2023. Retrieved from https://www.statista.com/statistics/330695/number-of-smartphone-users-worldwide/Youens, R (2011). 7 Habits of Highly Effective Apps. GIGAOM, July 16. Retrieved from: https://gigaom.com/2011/07/16/7-habits-of-highly-effective-apps/一零四資訊科技股份有限公司（2021年3月31日）。一零四資訊科技109年度年報。取自https://corp.104.com.tw/archive/files/stock/109Annual%20Report.pdfT客邦（2011年9月23日）。誰在用手機找工作？104 公佈手機求職的統計數字，上網日期：2021年7月1日。取自https://www.techbang.com/posts/7077-phone-job-yourself-104-single-handedly-get-work-quickly-to-find陳君毅（2021年2月18日）。518人力銀行宣布改名「518熊班」，瞄準哪類人才打造第一徵才品牌。數位時代。取自https://www.bnext.com.tw/article/61394/new-581-bear-works 描述 碩士
國立政治大學
企業管理研究所(MBA學位學程)
108363029資料來源 http://thesis.lib.nccu.edu.tw/record/#G0108363029 資料類型 thesis dc.contributor.advisor 張愛華<br>韓志翔 zh_TW dc.contributor.advisor Chang, Ai-Hwa<br>Han, Tzu-Shian en_US dc.contributor.author (Authors) 邱昱綺 zh_TW dc.contributor.author (Authors) Chiu, Yu-Chi en_US dc.creator (作者) 邱昱綺 zh_TW dc.creator (作者) Chiu, Yu-Chi en_US dc.date (日期) 2021 en_US dc.date.accessioned 2-Sep-2021 18:19:45 (UTC+8) - dc.date.available 2-Sep-2021 18:19:45 (UTC+8) - dc.date.issued (上傳時間) 2-Sep-2021 18:19:45 (UTC+8) - dc.identifier (Other Identifiers) G0108363029 en_US dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/137176 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 企業管理研究所(MBA學位學程) zh_TW dc.description (描述) 108363029 zh_TW dc.description.abstract (摘要) 行動裝置的移動性與隨時維持登入的特性有利於培養黏著度更高的使用者，隨著行動裝置普及，人力招募平台紛紛推出行動裝置服務，目前網站對於求職者來說仍是不可或缺的求職管道，求職者經常跨載具使用線上人力招募服務，因此本研究希望可以了解影響求職者採用應用程式的因素，並且分析網站的使用經驗對於應用程式行為意圖發展的影響。本研究以整合型科技接受模型（UTAUT）為基礎（Venkatesh, Morris, Davis, G. B. & Davis, F. D., 2003），考量績效預期、努力預期與社群影響，並加入知覺風險與即時性兩項因素，針對有求職需求且使用過104人力銀行網站與應用程式的使用者發放問卷，並針對求職者對於目前「104工作快找」應用程式的使用心得進行調查。 研究結果顯示績效預期、努力預期、社群影響、知覺風險與即時性皆為影響應用程式行為意圖的重要構念，其中以績效預期與社群影響的影響最大。而越長期使用網站，績效預期以及即時性對於行為意圖的影響會降低，努力預期以及知覺風險的影響力則會提高。網站使用頻率越高，績效預期的影響會降低，社群影響的影響效果會提高。對於網站的整體評價越高，會提高績效預期對使用意圖的影響，即時性影響程度則會降低。此外，介面是否直覺使用是求職者滿意的主要因素，而職缺豐富為採用應用程式的重要原因，然而卻也認為職缺品質參差不齊有待改善。對於大部分求職者來說，應用程式目前仍與網站搭配使用，應用程式提供即時性與移動性，有助於提高使用者的黏著度，然而大部分求職者仍偏好使用網站投遞職缺與編輯履歷，因此網站與應用程式發展不應偏廢，應善用不同載具獨特的優勢，使兩者相輔相承，面對行動裝置趨勢則需要加強應用程式的易用性，使介面更加符合直覺操作。最後，職缺數量與品質是求職者關注的核心，應盡可能在豐富平台上職缺的同時把關職缺品質，如此才能使企業擁有長期競爭力。 zh_TW dc.description.abstract (摘要) The mobility of mobile devices and the ability to keep logged in any time are conducive to cultivating users with higher stickiness. With the growing popularity of mobile usage, e-recruiting platform companies have launched mobile device services. Job seekers often use online human recruitment services on both PC and mobile phone. The websites are still an indispensable job seeking channel for users. In view of this, this research develops a model based on Unified Theory of Acceptance and Use of Technology (UTAUT) (Venkatesh, Morris, Davis, G.B. & Davis, F.D., 2003) and aims to explore the factors that influence the behavioral intentions of using apps, and to examine the impact of website usage experience. The constructs include Performance Expectancy, Effort Expectancy and Social Influence, Perceived Risks and Mobility. Using an online survey of users with both 104 Job Search website and application experiences.The research results show that Performance Expectancy, Effort Expectancy, Social Influence, Perceived Risk, and Immediacy are all important constructs that affect application behavioral intentions. Among them, Performance Expectancy and Social Influence have the greatest impact. The research also finds out the longer you use the website, the lower the impacts of Performance Expectancy and Immediacy are, and the greater the impacts of Effort Expectancy and Perceived Risk are. The higher the frequency of website usage, the lower the impact of Performance Expectancy is, and the greater the impact of Social Influence is. The higher the overall evaluation of the website, the higher the impact of Performance Expectancy is, and the lower the impact of Immediacy is.This research also collected job seekers’ experience of using the 104 Job Search app, and found that an intuitive interface is the main factor for job seekers’ satisfaction. The richness of job vacancies is an important reason for adopting the app, but the quality of job openings is still a concern and needs to be improved.Most job seekers are both application and website users. While application provides mobility, which helps to increase user stickiness, most job seekers still prefer to use the website to apply for jobs and edit resumes. Therefore, application development should be as important as website development and the advantages of different devices should be utilized to make greatest synergy. With the global mobile trends, it is necessary for e-recruiting companies to enhance the ease of use of the application, make it more compatible and intuitive operational. Finally, because the number and quality of job vacancies are the core concerns of job seekers, the long-term competitiveness of e-recruiting platform companies depends on how great their abilities are to provide opportunities as many as possible but ensure the quality at the same time. en_US dc.description.tableofcontents 謝辭 2摘要 3ABSTRACT 5第一章 緒論 11第一節 研究背景與研究動機 11第二節 研究問題與研究目的 12第三節 研究範圍 13第四節 研究流程 14第二章 文獻回顧與研究假說 16第一節 線上人力招募發展與應用 16一、 人力招募網站 16二、 行動裝置趨勢 17第二節 資訊科技接受模型發展 18第三節 整合型科技接受模型 18一、 績效預期 19二、 努力預期 20三、 社群影響 20四、 促成條件 20五、 經驗 21六、 性別、年齡與自願性 22第三章 研究方法 23第一節 研究架構 23第二節 研究假說 23一、 應用程式行為意圖影響因素 23二、 網站使用經驗調節效果 25第三節 問卷發展 29一、 研究母體與樣本選取 29二、 問卷設計 29第四章 研究分析 31第一節 樣本結構 31第二節 「104 工作快找」應用程式行為意圖分析 32一、 信度與效度分析 32二、 共線性分析 33三、 路徑係數與顯著性分析 34四、 模型解釋力與預測相關性 38五、 假說檢定結果討論 38第三節 「104 工作快找」應用程式使用心得分析 44一、 應用程式使用心得整體分析結果 44第五章 研究結論與建議 48第一節 研究結論 48一、 應用程式行為意圖影響因素 48二、 網站使用經驗的影響 48三、 對「104 工作快找」應用程式使用心得 49第二節 對實務應用之建議 49第三節 研究限制與未來研究之建議 50參考文獻 51附錄 完整問卷 56 zh_TW dc.format.extent 2085541 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0108363029 en_US dc.subject (關鍵詞) 整合型科技接受模型 zh_TW dc.subject (關鍵詞) 線上人力招募 zh_TW dc.subject (關鍵詞) 人力招募應用程式 zh_TW dc.subject (關鍵詞) 網站使用經驗 zh_TW dc.subject (關鍵詞) Theory of Acceptance and Use of Technology en_US dc.subject (關鍵詞) E-recruitment en_US dc.subject (關鍵詞) Job Search Application en_US dc.subject (關鍵詞) Website User Experience en_US dc.title (題名) 人力招募網站行動裝置應用程式之使用意願影響因素研究——以104人力銀行為例 zh_TW dc.title (題名) A Study on the Influencing Factors of Use Intention for Mobile Application of Job Search Website — Taking 104 Job Search Service as an Example en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) 一、 中文文獻余鑑、于俊傑、鄭宇珊與張文卿（2012）。有關台灣旅遊業在行動學習的使用意願之研究。中華管理評論，15（3），1-29。孫思源、羅月秀、趙珮如與吳章瑤（2008）。人力資源招募網站使用意向影響因素之探討。人力資源管理學報，8（3），1-23。陳寬裕（2018）。 結構方程模型分析實務： SPSS 與 SmartPLS 的運用。 五南圖書出版股份有限公司。粟四維與莊友豪（2009）。Wiki使用者與使用行為之研究。電子商務學報，11（1），185-212。劉仲矩與潘彥蓁（2019）。人力資源網站美學建構衡量重要性分析之研究。科技與人力教育季刊，5（3），53-69。郭俊桔（2019）。電子雜誌 Apps 上閱讀介面設計之探討。圖資與檔案學刊，94， 92-127。二、 英文文獻Adipat, B., Zhang, D., & Zhou, L. 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