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題名 即時通訊軟體（LINE）的使用對工作倦怠之影響：以工作資源為調節變數
The Impact of Using Instant Messaging Software（LINE）on Job Burnout：Job Resources as a Moderator
作者 陳巧穎
Chen, Chiao-Ying
貢獻者 陳敦源
Chen, Don-Yun
陳巧穎
Chen, Chiao-Ying
關鍵詞 即時通訊
工作倦怠
工作要求－資源模型
Instant Messaging
Job Burnout
Job Demands-Resources Model
日期 2020
上傳時間 2-Sep-2020 12:53:30 (UTC+8)
摘要 本研究目的是研究使用即時通訊軟體（LINE）對工作倦怠的影響。基於工作要求－資源模型理論，探討 LINE 之工作要求、工作資源與工作倦怠之間的關係。本研究採用問卷調查，總共回收 368 份有效樣本。這些資料以 SPSS 與 LISREL 軟體進行各項分析。
研究結果顯現：在 LINE 之工作要求部分，科技干擾、科技超載、及科技侵犯，對工作倦怠有顯著正向影響；工作資源部分，職場正義、社會支援在 LINE 之工作要求與工作倦怠之間具有調節作用。
最後，本研究建議應減少過度的 LINE 之工作要求，增加重要的工作資源（即職場正義、社會支援），從而降低工作倦怠的風險。
The purpose of this study was to inquiry the impact of using instant messaging software（LINE）on job burnout. Based on the job demands-resources（JD-R）model, this study was to investigate the relationship between job demands（LINE）, job resources, and job burnout. This study used questionnaire survey, we received total 368 effective samples. Data were analyzed by SPSS and LISREL.
Results showed that: Regarding the job demands（LINE）dimension, technology interruption, technology overload, and technology invasion have significant positive impact on job burnout; In the job resources dimension, workplace justice and social support have regulating effect between the job demands（LINE）and job burnout.
Finally, this study suggest that policy makers should reduce excessive job demands（LINE）and increasing important job resources（i.e., workplace justice and social support）, which in turn, may decrease the risk for job burnout.
參考文獻 中文部分
【LINE App 2019 熱門功能排行榜】跨螢使用、增加工作效率，與促進人際互動功能最受青睞！（2019年12月13日）。LINE 臺灣官方網站。取自：https://linecorp.com/zh-hant/pr/news/zh-hant/2019/3020
99U、約瑟琳‧葛雷（2014）。管理你的每一天：建立好習慣、鍛鍊專注力、磨練創意。台北：圓神出版社。
LINE的使用大數據首次公開！台灣用戶使用 LINE 的方式原來是這樣（2019年10月24日）。LINE 臺灣官方 BLOG。取自：http://official-blog.line.me/tw/archives/81291901.html
下班後長官傳Line指派工作？ 可申請加班（2015年1月26日）。自由時報新聞網。取自：https://news.ltn.com.tw/news/life/breakingnews/1215411
克里斯‧貝利（2019）。極度專注力：打造高績效的聰明工作法。台北：天下文化。
呂純怡（2009）。大專校院學生事務人員工作壓力與工作倦怠之研究。國立臺灣師範大學公民教育與活動領導學系碩士論文，未出版，臺北市。
狂加班好累！北市府「關懷」員工每晚 10 點後禁用 LINE（2013年3月4日）。ETtoday 新聞雲。取自：https://www.ettoday.net/news/20160304/656962.htm
周彥妤（2018年12月31日）。柯市府休假也要回 line 惹怨北市府：檢討改進。自由時報。取自：https://news.ltn.com.tw/news/politics/breakingnews/2657950
邱皓政（2014）。結構方程模式：LISREL／SIMPLIS 原理與應用（二版）。臺北市：雙葉書廊。
邱皓政（2018）。量化研究法（三）：測驗原理與量表發展技術。臺北市：雙葉書廊。
邱皓政（2019）。量化研究與統計分析（六版）：SPSS 與 R 資料分析範例解析。臺北市：五南。
洪瑞斌（2013）。職業倦怠研究在台灣之回顧與前瞻，人力資源管理學報，13（3），107–140。
洪瑞斌、邱發忠（2018）。資產抑或保險：釐清工作資源對工作要求－資源模式之健康折損路徑的作用。復興崗學報，113，181–202。
唐鎮宇（2014年6月27日)。上司深夜 WhatsApp 派工作 40 歲女過勞死。蘋果日報，A1 版。
徐木蘭（1984）。見樹又見林。台北：經濟與生活。
徐嘉珮、張莉萍、陳旺儀（2016）。雇主於下班後指揮勞工工作之現況及案例研究（編號：ILOSH104–R311）。新北市：勞動部勞動及職業安全衛生研究所。
張潼、陳燕珩 、陳芃、黃意涵（2016年3月4日）。被關懷還得交報告 員工：恐怖！不敢再「報加班」。中國時報新聞網。取自：https://www.chinatimes.com/newspapers/20160304000415-260102?chdtv
陳敦源、吳舜文、陳揚中、王光旭（2019）。從工作要求資源模式檢視公共衛生護理人員職業倦怠因素：以公共服務動機為調節變數。臺灣公共衛生雜誌，38（5），478–497。
陸洛、李惠美、謝天渝（2005）。牙醫師職業壓力與身心健康及職業倦怠之關係：以高雄市牙醫師為例。應用心理研究，27，59–80。
曾如瑩（2014年9月）。Line 時代溝通必勝手冊。商業週刊，1399，70–77。
游森期、余民寧（2006）。網路問卷與傳統問卷之比較：多樣本均等性方法學之應用。測驗學刊，53（1），103–127。
黃泰瑋（2011）。基於組織支持理論下的資訊技術壓力影響角色壓力之實證研究－以鋁金屬產業為例，國立中山大學高階經營研究所碩士論文，未出版，高雄市。
葉婉榆、鄭雅文、陳美如、邱文祥（2008）。職場疲勞量表的編制與信效度分析。臺灣公共衛生雜誌，27（5），349–364。
葛樹人（1987）。心理測驗學。台北：桂冠圖書公司。
劉幸宜（2015）。台灣老人日間照顧主要從業人員職場疲勞之探討。東海大學社會工作學系碩士論文，未出版，台中市。
劉敏熙、汪美伶、許淑晴（2019）。「科技使員工更幸福？」─工作要求－資源模式。組織與管理，12（1），83–125。
劉璟萱（2017）。台灣筆譯工作者工作特性與職業疲勞調查研究。國立臺灣師範大學翻譯研究所碩士論文，未出版，臺北市。
鄭怡世、巫麗雪、劉幸宜（2017）。臺灣老人日間照顧服務從業人員職場疲勞之探究。社會政策與社會工作學刊，21（2），1–53。
鍾沛君（2015年01月22日）。柯「已讀速回」官員緊繃滑 LINE 手快發炎。TVBS 新聞網。取自：https://news.tvbs.com.tw/entry/564107
 
英文部分
2019 Cigna 360 Well-Being Survey–Well and Beyond (2019, March 26). Cigna. Retrieved from https://wellbeing.cigna.com
Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423. doi: 10.1037/0033-2909.103.3.411
Bagozzi, R. P., & Yi,Y. (1988). On the evaluation of structural equation models. Journal of Academy of Marketing Science, 16(1), 74–94.
Bartlett, M. S. (1950). Tests of significance in factor analysis. British Journal of Psychology, 3(2), 77–85.
Bentler, P. M. (1995). EQS structural equations program manual. Encino, CA: Multivariate Software.
Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588–606. doi: 10.1037/0033-2909.88.3.588
Burke, R. J., & Greenglass, E. R. (2001). Effects of changing hospital units during organizational restructuring. The Health Care Manager, 20(1), 10–18.
Burn-out an "occupational phenomenon": International Classification of Diseases(2019, May 28). World Health Organization. Retrieved from https://www.who.int/mental_health/evidence/burn-out/en/
Camacho, S., Hassanein, K., & Head, M. (2013). Second Hand Technostress and its Determinants in the Context of Mobile Device Interruptions in Work Meetings. International Conference on Mobile Business, 16. Retrieved from http://aisel.aisnet.org/icmb2013/16
Carayon P. (2007). Healthy and efficient work with computers and information and communication technology–are their limits? Scand J Work Environ Health, 33(3), 10–16.
Comrey, A. L. (1988). Factor-analytic methods of scale development in personality and clinical psychology. Journal of Consulting and Clinical Psychology, 56(5), 754–761. doi: 10.1037/0022-006X.56.5.754
Coraggio, L. (1990). Deleterious effects of intermittent interruptions on the task performance of knowledge workers: A laboratory investigation. Unpublished doctoral dissertation , University of Arizona, Arizona.
Davis G. B. (2002). Anytime / anyplace computing and the future of knowledge work. Commun. Communications of the ACM, 45(12), 67–73.
Demerouti, E., Bakker, A. B., Nachreiner, F., & Schaufeli, W. B. (2001). The job demands-resources model of burnout. Journal of Applied Psychology, 86(3), 499–512. doi: 10.1037/0021-9010.86.3.499
Demerouti, E., Bakker, A. B., Nachreiner, F., & Schaufeli, W. B. (2000). A model of burnout and life satisfaction among nurses. Journal of Advanced Nursing, 32(2), 454–464. doi: 10.1046/j.1365-2648.2000.01496.x
Derks D., & Bakker A. B. (2014). Smartphone use, work–home interference, and burnout: a diary study on the role of recovery. Applied psychology , 63(3), 411–440. doi: 10.1111/j.1464-0597.2012.00530.x
Derks, D., ten Brummelhuis, L. L., Zecic, D., & Bakker, A. B. (2014). Switching on and off…: Does smartphone use obstruct the possibility to engage in recovery activities? European journal of work and organizational psychology , 23(1), 80–90.
Derks, D., van Duin, D., Tims, M., & Bakker, A. B. (2015). Smartphone use and work-home interference: The moderating role of social norms and employee work engagement. Journal of occupational and organizational psychology, 88(1), 155–177. doi: 10.1111/joop.12083
Dworkin, A. G. (2001). Perspectives on teacher burnout and school reform. International Education Journal, 4(2), 69–78.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. doi: 10.2307/3151312
Freudenberger, H. J. (1974). Staff burn-out. Journal of Social Issues, 30(1), 159–165. doi: org/10.1111/j.1540-4560.1974.tb00706.x
Fried, I. (2005, December 5). Driven to distraction by technology. CNET News. Retrieved from https://www.cnet.com/news/driven-to-distraction-by-technology/
Gaudioso, F., Turel, O., & Galimberti, C. (2015). Explaining work exhaustion from a coping theory perspective: roles of techno-stressors and technology-specific coping strategies. Annual Review of Cybertherapy and Telemedicine, 13, 14–20
Gorsuch, R. L. (1983). Factor analysis (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates.
Green, N. (2002). On the move: Technology, mobility, and the mediation of social time and space. The Information Society, 18(4), 281–292. dio: 10.1080/01972240290075129
Guilford, J. P. (1954). Psychometric methods (2nd ed.). New York: McGraw-Hill.
Gupta, A., Li, H., & Sharda, R. (2013). Should I send this message? Understanding the impact of interruptions, social hierarchy and perceived task complexity on user performance and perceived workload. Decision Support Systems, 55(1), 135–145. doi: 10.1016/j.dss.2012.12.035
Hackman, J. R., & Oldham, G. R. (1976). Motivation through the design of work: Test of a theory. Organizational Behavior and Human Performance, 16(2), 250–279. doi: 10.1016/0030-5073(76)90016-7
Hair, J. F. Jr., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (6th ed.). Upper Saddle River, NJ: Prentice-Hall.
Heinemann, L.V., & Heinemann, T. (2017). Burnout Research: Emergence and Scientific Investigation of a Contested Diagnosis. Sage Open, 7(1), 1–12. doi: org/10.1177/2158244017697154
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55.
Jarvenpaa, S.L., & Lang, K.R. (2005). Managing the paradoxes of mobile technology. Information Systems Management Journal, 22(4), 7–23. dio: 10.1201/1078.10580530/45520.22.4.20050901/90026.2
Jöreskog, K. G. (1970). A general method for analysis of covariance structures. Biometrika, 57(2), 239–251. doi:10.1093/biomet/57.2.239
Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39(1), 31–36. doi: 10.1007/BF02291575
Karr-Wisniewski, P., & Lu, Y. (2010). When more is too much : Operationalizing technology overload and exploring its impact on knowledge worker productivity. Computers in Human Behavior, 26(5), 1061–1072. doi: 10.1016/j.chb.2010.03.008
Kirkman, B.L., & Rosen, B. (1997) A Model of Work Team Empowerment. Research in Organizational Change and Development, 10(1), 131–167.
Lee, R. T., & Ashforth, B. E. (1996). A meta-analytic examination of the correlates of the three dimensions of job burnout. Journal of Applied Psychology, 81(2), 123–133. doi: org/10.1037/0021-9010.81.2.123
Leiter, M. P. (1993). Burnout as a developmental process: Consideration of models. In Schaufeli, W.B., Maslach, C., & Marek, T. (Eds.), Professional burnout: Recent developments in theory and research, 237–250. Washington, D.C.: Taylor & Francis.
Lewig, K., Xanthopoulou, D., Bakker, A.B., Dollard, M., & Metzer, J. (2007). Burnout and connectedness among Australian volunteers: A test of the Job Demands-Resources model. Journal of Vocational Behavior, 71(3), 429–445. doi: 10.1016/j.jvb.2007.07.003.
Mahapatra, M., & Pati , S. P. (2018) .Technostress creators and burnout: A Job Demands-Resources Perspective. In Kishore, R., Beimborn, D. & Bandi, R. K. (Chair), Doing Research That Matters: Reflecting on the Past and Charting a Future for ICT4D, Proceedings of the 2018 ACM SIGMIS Conference on Computers and People Research, Buffalo-Niagara Falls , NY USA. doi:10.1145/3209626.3209711
Managers in Germany banned from calling, emailing staff out of working hours (2013, September 26). TODAYonline. Retrieved from https://www.todayonline.com/world/europe/managers-germany-banned-calling-emailing-staff-out-working-hours
Markus, M. L. (1994). Finding a Happy Medium: Explaining Negative Effects of Electronic Communication on Social Life at Work. ACM Transactions on Information Systems, 12(2), 119–149. doi: 10.1145/196734.196738
Maslach, C. (1976). Burned-out. Human Behavior, 5(9), 16–22.
Maslach, C., & Jackson, S. E. (1981). The measurement of experienced burnout. Journal of Organizational Behavior, 2(2), 99–113.
Maslach, C., Jackson, S. E., & Leiter, M. P. (1996). Maslach burnout inventory manual (3rd ed.). Palo Alto, CA: Consulting Psychologists Press.
Maslach, C., Schaufeli, W. B., & Leiter, M. P. (2001). Job burnout. Annual Review of Psychology, 52, 397-422. doi:10.1146/annurev.psych.52.1.397
McDonald, R. P., & Ho, M.-H. R. (2002). Principles and practice in reporting structural equation analyses. Psychological Methods, 7(1), 64–82.
McFarlane, D.C., & Latorella, K.A. (2002). The scope and importance of human interruption in human–computer interaction design. Human–Computer Interaction, 17(1), 1–61. doi: 10.1207/S15327051HCI1701_1
Miller, D. B. (1986). Managing professionals in research and development: A guide for improving productivity and organizational effectiveness. San Francisco, CA: Jossey-Bass Inc.
Ou, C. X. J., & Davison, R. M. (2011). Interactive or interruptive? Instant messaging at work. Decision Support Systems, 52(1), 61–72.
Powright, A., AFP (2016, December 31). French workers now have the legal `right to disconnect`. Business Insider. Retrieved from https://www.businessinsider.com/afp-french-workers-win-right-to-disconnect-2016-12
Rennecker, J., & Godwin, L. (2005). Delays and interruptions: A self-perpetuating paradox of communication technology use. Information and Organization,15(3), 247–266. doi:10.1016/j.infoandorg.2005.02.004
Schaufeli, W. B., & Buunk, B. P. (2003). Burnout: An overview of 25 years of research and theorizing. In Schabracq, M. J., Winnubst, J. A. M., Cooper, C. L. (Eds.). The handbook of work and health psychology (2nd ed.). New York: John Wiley & Sons.
Schaufeli, W.B., Leiter, M.P., & Maslach, C. (2009). Burnout: 35 years of research and practice. Career development international , 14(3), 204–220 doi: 10.1108/13620430910966406
Sonnentag, S. (2001). Work, recovery activities, and individual well-being: A diary study. Journal of Occupational Health Psychology, 6(3), 196–210. doi: org/10.1037/1076-8998.6.3.196
Stuart, K. (2014, August 29). German minister calls for anti-stress law ban on emails out of office hours. The Guardian. Retrieved from https://www.theguardian.com/technology/2014/aug/29/germany-anti-stress-law-ban-on-emails-out-of-office-hours
Suh, A., & Lee, J. (2017). Understanding teleworkers’ technostress and its influence on job satisfaction. Internet Research. 27(1), 140–159. dio: 10.1108/IntR-06-2015-0181
Tabachnick, B. G., & Fidell, L. S. (2006). Using Multivariate Statistics (5th ed.). Needham Heights, MA: Allyn & Bacon.
Tams, S., Craig, K., Thatcher, J., & Murphy, R. (2011). Coping with interruptions in computer-mediated environments: the role of computer self-efficacy. Proceedings of South Association for information systems conference, Atlanta, 175–180.
Tarafdar, M., Tu, Q., Ragu-Nathan, B. S., & Ragu-Nathan, T. S. (2007). The impact of technostress on role stress and productivity. Journal of Management Information Systems, 24(1), 301–328.
Tarafdar, M., Tu, Q., Ragu-Nathan, T. S., & Ragu-Nathan, B. S. (2011). Crossing to the dark side: Examining creators, outcomes, and inhibitors of technostress. Communications of the ACM, 54(9), 113–120.
描述 碩士
國立政治大學
行政管理碩士學程
107921091
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0107921091
資料類型 thesis
dc.contributor.advisor 陳敦源zh_TW
dc.contributor.advisor Chen, Don-Yunen_US
dc.contributor.author (Authors) 陳巧穎zh_TW
dc.contributor.author (Authors) Chen, Chiao-Yingen_US
dc.creator (作者) 陳巧穎zh_TW
dc.creator (作者) Chen, Chiao-Yingen_US
dc.date (日期) 2020en_US
dc.date.accessioned 2-Sep-2020 12:53:30 (UTC+8)-
dc.date.available 2-Sep-2020 12:53:30 (UTC+8)-
dc.date.issued (上傳時間) 2-Sep-2020 12:53:30 (UTC+8)-
dc.identifier (Other Identifiers) G0107921091en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/131824-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 行政管理碩士學程zh_TW
dc.description (描述) 107921091zh_TW
dc.description.abstract (摘要) 本研究目的是研究使用即時通訊軟體（LINE）對工作倦怠的影響。基於工作要求－資源模型理論，探討 LINE 之工作要求、工作資源與工作倦怠之間的關係。本研究採用問卷調查，總共回收 368 份有效樣本。這些資料以 SPSS 與 LISREL 軟體進行各項分析。
研究結果顯現：在 LINE 之工作要求部分，科技干擾、科技超載、及科技侵犯，對工作倦怠有顯著正向影響；工作資源部分，職場正義、社會支援在 LINE 之工作要求與工作倦怠之間具有調節作用。
最後，本研究建議應減少過度的 LINE 之工作要求，增加重要的工作資源（即職場正義、社會支援），從而降低工作倦怠的風險。		zh_TW
dc.description.abstract (摘要) The purpose of this study was to inquiry the impact of using instant messaging software（LINE）on job burnout. Based on the job demands-resources（JD-R）model, this study was to investigate the relationship between job demands（LINE）, job resources, and job burnout. This study used questionnaire survey, we received total 368 effective samples. Data were analyzed by SPSS and LISREL.
Results showed that: Regarding the job demands（LINE）dimension, technology interruption, technology overload, and technology invasion have significant positive impact on job burnout; In the job resources dimension, workplace justice and social support have regulating effect between the job demands（LINE）and job burnout.
Finally, this study suggest that policy makers should reduce excessive job demands（LINE）and increasing important job resources（i.e., workplace justice and social support）, which in turn, may decrease the risk for job burnout.		en_US
dc.description.tableofcontents 第一章 緒論 1
第一節 研究背景 1
第二節 研究目的與問題 3
第二章 文獻探討 5
第一節 工作倦怠 5
第二節 即時通訊之工作要求對工作倦怠之影響 9
第三節 工作資源對即時通訊與工作倦怠之間的影響 15
第三章 研究設計 17
第一節 研究架構與假設 17
第二節 研究工具 20
第三節 問卷實施程序 26
第四章 資料分析 35
第一節 背景統計資料描述 35
第二節 研究工具信效度的檢驗 40
第三節 使用 LINE 之工作要求、工作倦怠的現況分析 48
第四節 不同背景變數對工作倦怠的差異分析 53
第五節 使用 LINE 之工作要求與工作倦怠分析 57
第六節 工作資源之調節效果檢驗 60
第五章 結論與建議 73
第一節 研究結論 73
第二節 管理建議 79
第三節 研究限制與未來建議 82

參考文獻 83
中文部分 83
英文部分 86
附錄一 專家內容效度審查 93
附錄二 預試問卷 101
附錄三 預試之項目分析 107
附錄四 正式問卷 113		zh_TW
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0107921091en_US
dc.subject (關鍵詞) 即時通訊zh_TW
dc.subject (關鍵詞) 工作倦怠zh_TW
dc.subject (關鍵詞) 工作要求－資源模型zh_TW
dc.subject (關鍵詞) Instant Messagingen_US
dc.subject (關鍵詞) Job Burnouten_US
dc.subject (關鍵詞) Job Demands-Resources Modelen_US
dc.title (題名) 即時通訊軟體（LINE）的使用對工作倦怠之影響：以工作資源為調節變數zh_TW
dc.title (題名) The Impact of Using Instant Messaging Software（LINE）on Job Burnout：Job Resources as a Moderatoren_US
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) 中文部分
【LINE App 2019 熱門功能排行榜】跨螢使用、增加工作效率，與促進人際互動功能最受青睞！（2019年12月13日）。LINE 臺灣官方網站。取自：https://linecorp.com/zh-hant/pr/news/zh-hant/2019/3020
99U、約瑟琳‧葛雷（2014）。管理你的每一天：建立好習慣、鍛鍊專注力、磨練創意。台北：圓神出版社。
LINE的使用大數據首次公開！台灣用戶使用 LINE 的方式原來是這樣（2019年10月24日）。LINE 臺灣官方 BLOG。取自：http://official-blog.line.me/tw/archives/81291901.html
下班後長官傳Line指派工作？ 可申請加班（2015年1月26日）。自由時報新聞網。取自：https://news.ltn.com.tw/news/life/breakingnews/1215411
克里斯‧貝利（2019）。極度專注力：打造高績效的聰明工作法。台北：天下文化。
呂純怡（2009）。大專校院學生事務人員工作壓力與工作倦怠之研究。國立臺灣師範大學公民教育與活動領導學系碩士論文，未出版，臺北市。
狂加班好累！北市府「關懷」員工每晚 10 點後禁用 LINE（2013年3月4日）。ETtoday 新聞雲。取自：https://www.ettoday.net/news/20160304/656962.htm
周彥妤（2018年12月31日）。柯市府休假也要回 line 惹怨北市府：檢討改進。自由時報。取自：https://news.ltn.com.tw/news/politics/breakingnews/2657950
邱皓政（2014）。結構方程模式：LISREL／SIMPLIS 原理與應用（二版）。臺北市：雙葉書廊。
邱皓政（2018）。量化研究法（三）：測驗原理與量表發展技術。臺北市：雙葉書廊。
邱皓政（2019）。量化研究與統計分析（六版）：SPSS 與 R 資料分析範例解析。臺北市：五南。
洪瑞斌（2013）。職業倦怠研究在台灣之回顧與前瞻，人力資源管理學報，13（3），107–140。
洪瑞斌、邱發忠（2018）。資產抑或保險：釐清工作資源對工作要求－資源模式之健康折損路徑的作用。復興崗學報，113，181–202。
唐鎮宇（2014年6月27日)。上司深夜 WhatsApp 派工作 40 歲女過勞死。蘋果日報，A1 版。
徐木蘭（1984）。見樹又見林。台北：經濟與生活。
徐嘉珮、張莉萍、陳旺儀（2016）。雇主於下班後指揮勞工工作之現況及案例研究（編號：ILOSH104–R311）。新北市：勞動部勞動及職業安全衛生研究所。
張潼、陳燕珩 、陳芃、黃意涵（2016年3月4日）。被關懷還得交報告 員工：恐怖！不敢再「報加班」。中國時報新聞網。取自：https://www.chinatimes.com/newspapers/20160304000415-260102?chdtv
陳敦源、吳舜文、陳揚中、王光旭（2019）。從工作要求資源模式檢視公共衛生護理人員職業倦怠因素：以公共服務動機為調節變數。臺灣公共衛生雜誌，38（5），478–497。
陸洛、李惠美、謝天渝（2005）。牙醫師職業壓力與身心健康及職業倦怠之關係：以高雄市牙醫師為例。應用心理研究，27，59–80。
曾如瑩（2014年9月）。Line 時代溝通必勝手冊。商業週刊，1399，70–77。
游森期、余民寧（2006）。網路問卷與傳統問卷之比較：多樣本均等性方法學之應用。測驗學刊，53（1），103–127。
黃泰瑋（2011）。基於組織支持理論下的資訊技術壓力影響角色壓力之實證研究－以鋁金屬產業為例，國立中山大學高階經營研究所碩士論文，未出版，高雄市。
葉婉榆、鄭雅文、陳美如、邱文祥（2008）。職場疲勞量表的編制與信效度分析。臺灣公共衛生雜誌，27（5），349–364。
葛樹人（1987）。心理測驗學。台北：桂冠圖書公司。
劉幸宜（2015）。台灣老人日間照顧主要從業人員職場疲勞之探討。東海大學社會工作學系碩士論文，未出版，台中市。
劉敏熙、汪美伶、許淑晴（2019）。「科技使員工更幸福？」─工作要求－資源模式。組織與管理，12（1），83–125。
劉璟萱（2017）。台灣筆譯工作者工作特性與職業疲勞調查研究。國立臺灣師範大學翻譯研究所碩士論文，未出版，臺北市。
鄭怡世、巫麗雪、劉幸宜（2017）。臺灣老人日間照顧服務從業人員職場疲勞之探究。社會政策與社會工作學刊，21（2），1–53。
鍾沛君（2015年01月22日）。柯「已讀速回」官員緊繃滑 LINE 手快發炎。TVBS 新聞網。取自：https://news.tvbs.com.tw/entry/564107
 
英文部分
2019 Cigna 360 Well-Being Survey–Well and Beyond (2019, March 26). Cigna. Retrieved from https://wellbeing.cigna.com
Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423. doi: 10.1037/0033-2909.103.3.411
Bagozzi, R. P., & Yi,Y. (1988). On the evaluation of structural equation models. Journal of Academy of Marketing Science, 16(1), 74–94.
Bartlett, M. S. (1950). Tests of significance in factor analysis. British Journal of Psychology, 3(2), 77–85.
Bentler, P. M. (1995). EQS structural equations program manual. Encino, CA: Multivariate Software.
Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588–606. doi: 10.1037/0033-2909.88.3.588
Burke, R. J., & Greenglass, E. R. (2001). Effects of changing hospital units during organizational restructuring. The Health Care Manager, 20(1), 10–18.
Burn-out an "occupational phenomenon": International Classification of Diseases(2019, May 28). World Health Organization. Retrieved from https://www.who.int/mental_health/evidence/burn-out/en/
Camacho, S., Hassanein, K., & Head, M. (2013). Second Hand Technostress and its Determinants in the Context of Mobile Device Interruptions in Work Meetings. International Conference on Mobile Business, 16. Retrieved from http://aisel.aisnet.org/icmb2013/16
Carayon P. (2007). Healthy and efficient work with computers and information and communication technology–are their limits? Scand J Work Environ Health, 33(3), 10–16.
Comrey, A. L. (1988). Factor-analytic methods of scale development in personality and clinical psychology. Journal of Consulting and Clinical Psychology, 56(5), 754–761. doi: 10.1037/0022-006X.56.5.754
Coraggio, L. (1990). Deleterious effects of intermittent interruptions on the task performance of knowledge workers: A laboratory investigation. Unpublished doctoral dissertation , University of Arizona, Arizona.
Davis G. B. (2002). Anytime / anyplace computing and the future of knowledge work. Commun. Communications of the ACM, 45(12), 67–73.
Demerouti, E., Bakker, A. B., Nachreiner, F., & Schaufeli, W. B. (2001). The job demands-resources model of burnout. Journal of Applied Psychology, 86(3), 499–512. doi: 10.1037/0021-9010.86.3.499
Demerouti, E., Bakker, A. B., Nachreiner, F., & Schaufeli, W. B. (2000). A model of burnout and life satisfaction among nurses. Journal of Advanced Nursing, 32(2), 454–464. doi: 10.1046/j.1365-2648.2000.01496.x
Derks D., & Bakker A. B. (2014). Smartphone use, work–home interference, and burnout: a diary study on the role of recovery. Applied psychology , 63(3), 411–440. doi: 10.1111/j.1464-0597.2012.00530.x
Derks, D., ten Brummelhuis, L. L., Zecic, D., & Bakker, A. B. (2014). Switching on and off…: Does smartphone use obstruct the possibility to engage in recovery activities? European journal of work and organizational psychology , 23(1), 80–90.
Derks, D., van Duin, D., Tims, M., & Bakker, A. B. (2015). Smartphone use and work-home interference: The moderating role of social norms and employee work engagement. Journal of occupational and organizational psychology, 88(1), 155–177. doi: 10.1111/joop.12083
Dworkin, A. G. (2001). Perspectives on teacher burnout and school reform. International Education Journal, 4(2), 69–78.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. doi: 10.2307/3151312
Freudenberger, H. J. (1974). Staff burn-out. Journal of Social Issues, 30(1), 159–165. doi: org/10.1111/j.1540-4560.1974.tb00706.x
Fried, I. (2005, December 5). Driven to distraction by technology. CNET News. Retrieved from https://www.cnet.com/news/driven-to-distraction-by-technology/
Gaudioso, F., Turel, O., & Galimberti, C. (2015). Explaining work exhaustion from a coping theory perspective: roles of techno-stressors and technology-specific coping strategies. Annual Review of Cybertherapy and Telemedicine, 13, 14–20
Gorsuch, R. L. (1983). Factor analysis (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates.
Green, N. (2002). On the move: Technology, mobility, and the mediation of social time and space. The Information Society, 18(4), 281–292. dio: 10.1080/01972240290075129
Guilford, J. P. (1954). Psychometric methods (2nd ed.). New York: McGraw-Hill.
Gupta, A., Li, H., & Sharda, R. (2013). Should I send this message? Understanding the impact of interruptions, social hierarchy and perceived task complexity on user performance and perceived workload. Decision Support Systems, 55(1), 135–145. doi: 10.1016/j.dss.2012.12.035
Hackman, J. R., & Oldham, G. R. (1976). Motivation through the design of work: Test of a theory. Organizational Behavior and Human Performance, 16(2), 250–279. doi: 10.1016/0030-5073(76)90016-7
Hair, J. F. Jr., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (6th ed.). Upper Saddle River, NJ: Prentice-Hall.
Heinemann, L.V., & Heinemann, T. (2017). Burnout Research: Emergence and Scientific Investigation of a Contested Diagnosis. Sage Open, 7(1), 1–12. doi: org/10.1177/2158244017697154
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55.
Jarvenpaa, S.L., & Lang, K.R. (2005). Managing the paradoxes of mobile technology. Information Systems Management Journal, 22(4), 7–23. dio: 10.1201/1078.10580530/45520.22.4.20050901/90026.2
Jöreskog, K. G. (1970). A general method for analysis of covariance structures. Biometrika, 57(2), 239–251. doi:10.1093/biomet/57.2.239
Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39(1), 31–36. doi: 10.1007/BF02291575
Karr-Wisniewski, P., & Lu, Y. (2010). When more is too much : Operationalizing technology overload and exploring its impact on knowledge worker productivity. Computers in Human Behavior, 26(5), 1061–1072. doi: 10.1016/j.chb.2010.03.008
Kirkman, B.L., & Rosen, B. (1997) A Model of Work Team Empowerment. Research in Organizational Change and Development, 10(1), 131–167.
Lee, R. T., & Ashforth, B. E. (1996). A meta-analytic examination of the correlates of the three dimensions of job burnout. Journal of Applied Psychology, 81(2), 123–133. doi: org/10.1037/0021-9010.81.2.123
Leiter, M. P. (1993). Burnout as a developmental process: Consideration of models. In Schaufeli, W.B., Maslach, C., & Marek, T. (Eds.), Professional burnout: Recent developments in theory and research, 237–250. Washington, D.C.: Taylor & Francis.
Lewig, K., Xanthopoulou, D., Bakker, A.B., Dollard, M., & Metzer, J. (2007). Burnout and connectedness among Australian volunteers: A test of the Job Demands-Resources model. Journal of Vocational Behavior, 71(3), 429–445. doi: 10.1016/j.jvb.2007.07.003.
Mahapatra, M., & Pati , S. P. (2018) .Technostress creators and burnout: A Job Demands-Resources Perspective. In Kishore, R., Beimborn, D. & Bandi, R. K. (Chair), Doing Research That Matters: Reflecting on the Past and Charting a Future for ICT4D, Proceedings of the 2018 ACM SIGMIS Conference on Computers and People Research, Buffalo-Niagara Falls , NY USA. doi:10.1145/3209626.3209711
Managers in Germany banned from calling, emailing staff out of working hours (2013, September 26). TODAYonline. Retrieved from https://www.todayonline.com/world/europe/managers-germany-banned-calling-emailing-staff-out-working-hours
Markus, M. L. (1994). Finding a Happy Medium: Explaining Negative Effects of Electronic Communication on Social Life at Work. ACM Transactions on Information Systems, 12(2), 119–149. doi: 10.1145/196734.196738
Maslach, C. (1976). Burned-out. Human Behavior, 5(9), 16–22.
Maslach, C., & Jackson, S. E. (1981). The measurement of experienced burnout. Journal of Organizational Behavior, 2(2), 99–113.
Maslach, C., Jackson, S. E., & Leiter, M. P. (1996). Maslach burnout inventory manual (3rd ed.). Palo Alto, CA: Consulting Psychologists Press.
Maslach, C., Schaufeli, W. B., & Leiter, M. P. (2001). Job burnout. Annual Review of Psychology, 52, 397-422. doi:10.1146/annurev.psych.52.1.397
McDonald, R. P., & Ho, M.-H. R. (2002). Principles and practice in reporting structural equation analyses. Psychological Methods, 7(1), 64–82.
McFarlane, D.C., & Latorella, K.A. (2002). The scope and importance of human interruption in human–computer interaction design. Human–Computer Interaction, 17(1), 1–61. doi: 10.1207/S15327051HCI1701_1
Miller, D. B. (1986). Managing professionals in research and development: A guide for improving productivity and organizational effectiveness. San Francisco, CA: Jossey-Bass Inc.
Ou, C. X. J., & Davison, R. M. (2011). Interactive or interruptive? Instant messaging at work. Decision Support Systems, 52(1), 61–72.
Powright, A., AFP (2016, December 31). French workers now have the legal `right to disconnect`. Business Insider. Retrieved from https://www.businessinsider.com/afp-french-workers-win-right-to-disconnect-2016-12
Rennecker, J., & Godwin, L. (2005). Delays and interruptions: A self-perpetuating paradox of communication technology use. Information and Organization,15(3), 247–266. doi:10.1016/j.infoandorg.2005.02.004
Schaufeli, W. B., & Buunk, B. P. (2003). Burnout: An overview of 25 years of research and theorizing. In Schabracq, M. J., Winnubst, J. A. M., Cooper, C. L. (Eds.). The handbook of work and health psychology (2nd ed.). New York: John Wiley & Sons.
Schaufeli, W.B., Leiter, M.P., & Maslach, C. (2009). Burnout: 35 years of research and practice. Career development international , 14(3), 204–220 doi: 10.1108/13620430910966406
Sonnentag, S. (2001). Work, recovery activities, and individual well-being: A diary study. Journal of Occupational Health Psychology, 6(3), 196–210. doi: org/10.1037/1076-8998.6.3.196
Stuart, K. (2014, August 29). German minister calls for anti-stress law ban on emails out of office hours. The Guardian. Retrieved from https://www.theguardian.com/technology/2014/aug/29/germany-anti-stress-law-ban-on-emails-out-of-office-hours
Suh, A., & Lee, J. (2017). Understanding teleworkers’ technostress and its influence on job satisfaction. Internet Research. 27(1), 140–159. dio: 10.1108/IntR-06-2015-0181
Tabachnick, B. G., & Fidell, L. S. (2006). Using Multivariate Statistics (5th ed.). Needham Heights, MA: Allyn & Bacon.
Tams, S., Craig, K., Thatcher, J., & Murphy, R. (2011). Coping with interruptions in computer-mediated environments: the role of computer self-efficacy. Proceedings of South Association for information systems conference, Atlanta, 175–180.
Tarafdar, M., Tu, Q., Ragu-Nathan, B. S., & Ragu-Nathan, T. S. (2007). The impact of technostress on role stress and productivity. Journal of Management Information Systems, 24(1), 301–328.
Tarafdar, M., Tu, Q., Ragu-Nathan, T. S., & Ragu-Nathan, B. S. (2011). Crossing to the dark side: Examining creators, outcomes, and inhibitors of technostress. Communications of the ACM, 54(9), 113–120.		zh_TW
dc.identifier.doi (DOI) 10.6814/NCCU202001686en_US