簡易檢索 / 詳目顯示

研究生: 李宜嬬
Li, Yi-Ru
論文名稱: 行政機關公務員選擇遠距辦公影響因素之研究
A Study on the Influencing Factors of the Public Service Workers Choosing Telework in the Government Agency
指導教授: 林弘昌
Lin, Hung-Chang
口試委員: 張文龍
Chang, Wen-long
張玉山
Chang, Yu-Shan
林弘昌
Lin, Hung-Chang
口試日期: 2022/01/19
學位類別: 碩士
Master
系所名稱: 科技應用與人力資源發展學系人力資源發展碩士在職專班
Department of Technology Application and Human Resource Development_Continuing Education Master's Program of Human Resource Development
論文出版年: 2022
畢業學年度: 110
語文別: 中文
論文頁數: 91
中文關鍵詞: COVID-19行政機關遠距辦公解構計畫行為理論
英文關鍵詞: COVID-19, administrative agency, Telework, Decomposed Theory of Planned Behavior
研究方法: 調查研究
DOI URL: http://doi.org/10.6345/NTNU202200396
論文種類: 學術論文
相關次數: 點閱:185下載:14
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • COVID-19傳染性肺炎讓各地政府、各國企業均紛紛啟動遠距辦公(Telework)。本文透過「解構計畫行為理論」(Decomposed Theory of Planned Behavior, DTPB)架構,探討影響公務員選擇遠距辦公之影響因素,進而預測其遠距辦公的使用意圖程度。為達上述研究目的,本研究於2021年4月中旬至5月上旬於網路平台發放「公務員使用遠距辦公之意願調查」問卷,以期研究結果能推論至相關議題上,計有492人接受填答,刪除答題不完整之無效問卷後,計439份有效問卷,有效樣本達89.2%,有效資料透過SPSS與AMOS統計軟體進行分析。研究結果發現感知有用性、上級影響、自我效能、資源便利條件、態度、主觀規範、認知行為控制對公務員選擇遠距辦公之意願具正向顯著結果。希望本研究能夠進一步了解機關同仁對於遠距辦公的感受,提供公務同仁友善職場環境,以期能夠提升行政機關的行政效益,增進國家競爭力。

    The COVID-19 contagious pneumonia has caused governments and enterprises in various countries to start telework. In order to explore civil servants' intention of using telework, this paper discusses the influencing factors of their intention to use telecommuting with the "Decomposed Theory of Planned Behavior" (DTPB) model. From mid-April to early May of 2021, the questionnaire titled “Intention to Use Telework of Civil Servants” was distributed online. Overall, a total of 492 questionnaires respond to the study. After deleting incomplete and invalid questionnaires, the study retrieved 439 valid questionnaires, resulting in a return rate of 89.2%. The study applied SPSS and AMOS statistical software to analyze the research data. The research finds that: perceived usefulness, superior influence, self-efficacy, resource convenience, attitude, subjective norm, and perceived behavioral control have positive and significant impact on civil servants' willingness to use telework. It is hoped that this study can further understand civil servants’ feelings on telework and provide a friendly workplace environment for government colleagues to improve the administrative efficiency of public administrative agencies and enhance our national competitiveness.

    第一章 緒論 1 第一節 研究背景與動機 1 第二節 研究目的與待答問題 2 第三節 名詞解釋 3 第四節 研究範圍與限制 3 第二章 文獻探討 5 第一節 遠距辦公的定義及優點限制 5 第二節 各國遠距辦公現況 7 第三節 資訊科技接受相關理論 10 第四節 應用解構計畫行為理論之相關研究 16 第三章 研究設計與實施 23 第一節 研究架構 23 第二節 研究對象 23 第三節 研究法及研究工具 24 第四節 資料處理與分析 29 第五節 研究程序 31 第四章 結果與討論 33 第一節 信效度分析 33 第二節 描述性統計分析 40 第三節 結構模型分析 42 第四節 綜合討論 51 第五章 結論與建議 57 第一節 結論 57 第二節 管理意涵 59 第三節 建議 60 第四節 研究限制與未來研究建議 62 參考文獻 63 附錄 73

    一、中文部份
    李勇輝、黃靖文、邱怡嘉(2016,12月)。以消費價值理論與理性行為理論探討Instagram使用者實際行為之研究。管理研究學報,16(2),31-57。取自https://www.AiritiLibrary.com/Publication/Index/16830881-201612-201804260004-201804260004-31-57
    李慶長、張銀益、黃柏翔(2015,9月)。以計畫行為理論探討穿戴型裝置的使用意圖-以Google眼鏡為例。Electronic Commerce Studies,13(3),315-334。取自https://www.airitilibrary.com/Publication/alDetailedMesh?docid=17262364-201509-201510280001-201510280001-315-334#Summary
    徐嘉欣(2011)。以科技接受模式探討公務人員數位學習之研究-以公務員資訊學習網為例(未出版之碩士論文)。國立臺灣師範大學科技應用與人力資源發展學系,臺北。
    徐嘉珮、徐國淦、陳旺儀、梁涵維(2018)。電傳勞動者勞動契約實證研究(初版)。新北市:勞動部勞動及職業安全衛生研究所。
    黃芳銘(2007)。結構方程模式理論與應用(初版)。臺灣:五南。
    黃煥榮(2019,3月)。以電傳勞動促進工作生活平衡-兼論芬蘭的經驗與啟示。臺灣勞工季刊(57),86-96。取自https://www.AiritiLibrary.com/Publication/Index/P20170803002-201903-201904300008-201904300008-86-96
    黃麗玲、吳迪文、許素惠、程元中、莊文瑄、劉瀞文、楊雨凡(2019)。法國公務人力遷調、友善工作措施、資訊技術發展及行政法人業務運作考察。研究報告(C10803043)。台北市:行政法人總處行政院人事行政總處。
    張偉豪(2011)。論文寫作-SEM不求人。臺北:鼎茂。
    董祥開、簡粲綺、蘇姵文(2019,7月)。公務人力高齡化現象下之人力資源管理對策。文官制度季刊,11(3),71-103。
    趙達瑜(2016,9月)。工作與生活平衡的制度:美國聯邦政府實施遠距工作制度之初探。中國地方自治,69(9),20-53。取自 https://dx.doi.org/10.6581/lsgc.2016.69(9).03
    銓敘部(2021,12月11日)。歷年全國公務人員人事異動狀況。取自https://www.mocs.gov.tw/pages/detail.aspx?Node=1090&Page=4043&Index=4
    蔡英子(2013)。綜合所得稅網路申報行為之研究-以計畫行為理論觀點(未出版之碩士論文)。國立成功大學高階管理碩士在職專班(EMBA),臺南。
    賴偉文(2020,5月)。新冠肺炎下新工作模式的轉變。經濟前瞻(189),25-30。取自https://www.AiritiLibrary.com/Publication/Index/10190376-202005-202005210007-202005210007-25-30
    二、外文部份
    Aboelmaged, M. G., & El Subbaugh, S. M. (2012). Factors influencing perceived productivity of Egyptian teleworkers: An empirical study. Measuring Business Excellence, 16(2), 3-22. doi:10.1108/13683041211230285
    Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhl (Ed.), Action control (pp. 11-39). Berlin: Springer.
    Ajzen, I. (1989). Attitude structure and behavior. In A. R. Pratkanis, S. J. Breckler, & A. G. Greenwald (Eds.), Attitude structure and function (Vol. 241, pp. 274). Lawrence Erlbaum Associates: Psychology Press.
    Ajzen, I., & Driver, B. L. (1992). Application of the Theory of Planned Behavior to Leisure Choice. Journal of Leisure Research, 24(3), 207-224. doi:10.1080/00222216.1992.11969889
    Ajzen, I., & Fishbein, M. (1980).Understanding attitudes and predicting social behavior. Engle-wood-Cliffs, NJ: Prentice-Hall.
    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. (1981). Attitudes, intentions, and behavior: A test of some key hypotheses. Journal of Personality and Social Psychology, 41(4), 607-627. doi:10.1037/0022-3514.41.4.607
    Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94. doi:10.1007/BF02723327
    Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191-215. doi:10.1037/0033-295X.84.2.191
    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
    Bhattacherjee, A. (2000). Acceptance of e-commerce services: The case of electronic brokerages. IEEE Transactions on Systems, Man, and Cybernetics- Part A: Systems and Humans, 30(4), 411-420. doi:10.1109/3468.852435
    Boell, S. K., Campbell, J., Cecez-Kecmanovic, D., & Cheng, J. E. (2013, August). The transformative nature of telework: A review of the literature. Paper presented at the the 19th Americas Conference on Information Systems, AMCIS 2013 - Hyperconnected World: Anything, Anywhere, Anytime, America. Conference paper retrieved from http://hdl.handle.net/1885/154058
    Bollen, K. A. (1989). Structural equations with latent variables. New York, NY: Wiley.
    Bongsik, S., Higa, K., & Sheng, O. R. L. (1997). An adoption model of telework for organizations. Proceedings of the Thirtieth Hawaii International Conference on System Sciences (pp. 110-119). USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/HICSS.1997.663369
    Carillo, K., Cachat-Rosset, G., Marsan, J., Saba, T., & Klarsfeld, A. (2021). Adjusting to epidemic-induced telework: Empirical insights from teleworkers in France. European Journal of Information Systems, 30(1), 69-88. doi:10.1080/0960085X.2020.1829512
    Chau, P. Y. K., & Hu, P. J.-H. (2002). Investigating healthcare professionals’ decisions to accept telemedicine technology: an empirical test of competing theories. Information & Management, 39(4), 297-311. doi:10.1016/S0378-7206(01)00098-2
    Cheon, J., Lee, S., Crooks, S. M., & Song, J. (2012). An investigation of mobile learning readiness in higher education based on the theory of planned behavior. Computers & Education, 59(3), 1054-1064. doi:10.1016/j.compedu.2012.04.015
    Clark, S. D. (1998). The decision to telework: A synthesized model (pp. 393-402). USA: IEEE. doi:10.1109/HICSS.1998.653124
    Close Michael, A., Lytle Leslie, A., Chen, D.-G., & Viera Anthony, J. (2018). Using the theory of planned behavior to explain intention to eat a healthful diet among Southeastern United States office workers. Nutrition & Food Science, 48(2), 365-374. doi:10.1108/NFS-06-2017-0123. Retrieved from https://doi.org/10.1108/NFS-06-2017-0123
    Curran, P. J., West, S. G., & Finch, J. F. (1996). The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. Psychological Methods, 1(1), 16-29. doi: 10.1037/1082-989X.1.1.16
    Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003. doi:10.1287/mnsc.35.8.982
    Doll, W. J., Xia, W., & Torkzadeh, G. (1994). A confirmatory factor analysis of the end-user computing satisfaction instrument. MIS Quarterly, 18(4), 453. doi:10.2307/249524
    Donati, S., Viola, G., Toscano, F., & Zappalà, S. (2021). Not all remote workers are similar: Technology acceptance, remote work beliefs, and wellbeing of remote workers during the second wave of the COVID-19 pandemic. International Journal of Environmental Research and Public Health, 18(22), 12095. doi:10.3390/ijerph182212095
    Feldman, D. C., & Gainey, T. W. (1997). Patterns of telecommuting and their consequences: Framing the research agenda. Human Resource Management Review, 7(4), 369-388. doi:10.1016/S1053-4822(97)90025-5
    Fishbein, M. & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research. MA: Addison-Wesley.
    Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
    Garcia-Contreras, R., Munoz-Chavez, P., Valle-Cruz, D., Ruvalcaba-Gomez, E. A., & Becerra-Santiago, J. A. (2021, June). Some Lessons for the Public Sector from the Emergent Implementation During the Pandemic Period: Teleworking in times of COVID-19. Paper presented at the 22nd Annual International Conference on Digital Government Research, Omaha, NE, USA. Paper retrieved from https://doi.org/10.1145/3463677.3463700
    Giovanis, A., Athanasopoulou, P., Assimakopoulos, C., & Sarmaniotis, C. (2019). Adoption of mobile banking services: A comparative analysis of four competing theoretical models. International Journal of Bank Marketing, 37(5), 1165-1189. doi:10.1108/IJBM-08-2018-0200. Retrieved from https://doi.org/10.1108/IJBM-08-2018-0200
    Golden, T. (2007). Co-workers who telework and the impact on those in the office: Understanding the implications of virtual work for co-worker satisfaction and turnover intentions. Human Relations, 60(11), 1641-1667. doi:10.1177/0018726707084303
    Gómez-Ramirez, I., Valencia-Arias, A., & Duque, L. (2019). Approach to M-learning acceptance among university students: An integrated model of TPB and TAM. International Review of Research in Open and Distributed Learning, 20(3), 142-164. doi:10.19173/irrodl.v20i4.4061
    Hartwick, J., & Barki, H. (1994). Explaining the role of user participation in information system use. Management Science, 40(4), 440-465. doi:10.1287/mnsc.40.4.440
    Hooper, D., Coughlan, J., & Mullen, M. (2008, 6). Evaluating model fit: A synthesis of the structural equation modelling literature. Paper presented at the 7th European Conference on research methodology for business and management studies, London, UK. Paper retrieved from https://books.google.com.tw/books?id=ZZoHBAAAQBAJ
    Hsieh, P. -J. (2015). Physicians’ acceptance of electronic medical records exchange: An extension of the decomposed TPB model with institutional trust and perceived risk. International Journal of Medical Informatics, 84(1), 1-14. doi:10.1016/j.ijmedinf.2014.08.008
    Hung, S.-Y., Chang, C.-M., & Kuo, S.-R. (2013). User acceptance of mobile e-government services: An empirical study. Government Information Quarterly, 30(1), 33-44. doi:10.1016/j.giq.2012.07.008
    Kim, S., & Garrison, G. (2009). Investigating mobile wireless technology adoption: An extension of the technology acceptance model. Information Systems Frontiers, 11(3), 323–333. doi:10.1007/s10796-008-9073-8
    Lai, H. J. (2017). Examining civil servants’ decisions to use Web 2.0 tools for learning, based on the decomposed theory of planned behavior. Interactive Learning Environments, 25(3), 295-305. doi:10.1080/10494820.2015.1121879
    MacCallum, R. C., & Hong, S. (1997). Power analysis in covariance structure modeling using GFI and AGFI. Multivariate Behavioral Research, 32(2), 193-210. doi:10.1207/s15327906mbr3202_5
    Mathieson, K. (1991). Predicting user intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior. Information Systems Research, 2(3), 173-191. doi:10.1287/isre.2.3.173
    McDonald, R. P., & Ho, M. R. (2002). Principles and practice in reporting structural equation analyses. Psychological Methods, 7(1), 64-82. doi:10.1037/1082-989X.7.1.64
    Miniwatts Marketing Group. (2021, July 3). Internet users distribution in the world – 2021 [stats]. Retrieved from https://www.internetworldstats.com/stats.htm
    Nätti, J., Tammelin, M., Anttila, T., & Ojala, S. (2011). Work at home and time use in Finland. New Technology, Work and Employment, 26(1), 68-77. doi:10.1111/j.1468-005X.2010.00258.x
    Nilles, J. (1976). The telecommunication transportation trade-off. New York: Wiley Interscience.
    Nyasulu, C., & Dominic Chawinga, W. (2019). Using the decomposed theory of planned behaviour to understand university students’ adoption of WhatsApp in learning. E-Learning and Digital Media, 16(5), 413-429. doi:10.1177/2042753019835906
    Ojiako, U., Choudrie, J., Nwanekezie, U., & Chikelue, C.O. (2019). Adoption and use of tablet devices by older adults: A quantitative study. In I. O. Pappas, P. Mikalef, Y. K. Dwivedi, L. Jaccheri, J. Krogstie, & M. Mäntymäki (Eds.), Digital transformation for a sustainable society in the 21st century (pp. 545-558). Norway: Springer, Cham. doi: 10.1007/978-3-030-29374-1_44
    Ollo-López, A., Goñi-Legaz, S., & Erro-Garcés, A. (2020). Home-based telework: Usefulness and facilitators. International Journal of Manpower, 1, 644-660. doi:10.1108/IJM-02-2020-0062
    Raghuram, S., Wiesenfeld, B., & Garud, R. (2003). Technology enabled work: The role of self-efficacy in determining telecommuter adjustment and structuring behavior. Journal of Vocational Behavior, 63(2), 180-198. doi:https://doi.org/10.1016/S0001-8791(03)00040-X
    Rogers, E. M. (1983). Diffusion of innovations (3rd ed.). New York: Free Press.
    Sadaf, A., & Gezer, T. (2020). Exploring factors that influence teachers’ intentions to integrate digital literacy using the decomposed theory of planned behavior. Journal of Digital Learning in Teacher Education, 36(2), 124-145. doi:10.1080/21532974.2020.1719244
    Sadaf, A., Newby, T. J., & Ertmer, P. A. (2012). Exploring factors that predict preservice teachers’ intentions to use Web 2.0 technologies using Decomposed Theory of Planned Behavior. Journal of Research on Technology in Education, 45(2), 171-196. doi:10.1080/15391523.2012.10782602
    Sheppard, B. H., Hartwick, J., & Warshaw, P. R. (1988). The theory of reasoned action: A meta-analysis of past research with recommendations for modifications and future research. Journal of Consumer Research, 15(3), 325-343. doi:10.1086/209170
    Shimp, T. A., & Kavas, A. (1984). The theory of reasoned action applied to coupon usage. Journal of Consumer Research, 11(3), 795-809. doi:10.1086/209015
    Silva-C, A., Montoya R, I. A., & Valencia A, J. A. (2019). The attitude of managers toward telework, why is it so difficult to adopt it in organizations? Technology in Society, 59, 1-10. Retrieved from https://doi.org/10.1016/j.techsoc.2019.04.009
    Sousa-Uva, M., Sousa-Uva, A., E Sampayo, M. M., & Serranheira, F. (2021). Telework during the COVID-19 epidemic in Portugal and determinants of job satisfaction: A cross-sectional study. BMC Public Health, 21(1), 2217. doi:10.1186/s12889-021-12295-2
    Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A Test of competing models. Information Systems Research, 6(2), 144-176. doi:10.1287/isre.6.2.144

    下載圖示
    QR CODE