Responsive image
博碩士論文 etd-0711121-132309 詳細資訊
Title page for etd-0711121-132309
論文名稱
Title
以科技接受模式探討政府機關LINE官方帳號之使用行為意圖:以高雄市政府為例
Behavioral Intention to Use of the LINE Official Accounts of Government Agencies Based on the Technology Acceptance Model: A Case Study on Kaohsiung City Government, Taiwan
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
102
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2021-07-12
繳交日期
Date of Submission
2021-08-11
關鍵字
Keywords
電子化政府、科技接受模式、LINE官方帳號、行為意圖、資訊品質
electronic government, technology acceptance model, LINE official account, behavioral intention, information quality
統計
Statistics
本論文已被瀏覽 224 次,被下載 214
The thesis/dissertation has been browsed 224 times, has been downloaded 214 times.
中文摘要
在資訊科技社會中,網際網路的廣泛應用改變閱聽人接收訊息方式,也影響了政府機關行銷模式,紛紛將社群網站運用於政府網站與公共政策服務上,以提升民眾參與度。然而行動網路與智慧型手機日益普及,即時通訊軟體LINE使用者大增,成為另一項值得關注的新興社群媒體。目前我國LINE官方帳號共有20個政府相關單位成立LINE官方帳號,就實際操作面而言,LINE官方帳號與Facebook粉絲專頁有諸多不同,民眾必須先加入LINE官方帳號才可接受公共政策與資訊服務,因此,哪些因素會影響民眾之使用意願為本研究關注重點。

本研究以高雄市政府LINE官方帳號為例,並以科技接受模式為理論基礎,採用認知有用性、認知易用性、使用行為態度、使用行為意圖等四個構面,另加入參與動機、社會影響、資訊品質、個人創新性等外部因素建立研究架構,針對行動通訊軟體LINE使用者進行網路問卷調查,回收有效樣本數為444份,再以量化統計方法檢驗相關變數間的關係,期能提供政府機關經營官方帳號之建議。

研究結果發現,認知有用性受資訊品質之新奇性、易懂性、可靠性等三構面正向顯著影響,認知易用性則受資訊品質之易懂性、可靠性以及個人創新性正向影響;使用行為態度之影響因素,包括參與動機之內外部刺激以及認知有用性,最後在使用行為意圖部分,則會顯著受到使用行為態度及社會影響等構面的正向影響,惟認知有用性與使用行為意圖之間無直接關聯性。
Abstract
In the world full of information technology, the widely used internet has changed the way audience receiving message as well as the marketing in the government sector. The government agencies started to use social media in their official websites and public services to improve the willingness of people’s participation in the activities. In addition to that, the ever widespread mobile networks and smartphones have largely increased the number of users of the instant messaging application LINE, which becomes another notable new social media platform. The current number of LINE official accounts of the government agencies in Taiwan is 20. In terms of the actual use, LINE official accounts differ much from the fan pages on Facebook. Users need to add the LINE official accounts first to access information services and public policies, hence the influential factors on the behavioral intention to use are the main focus in the thesis.
The LINE official account of Kaohsiung city government is analyzed in this research as a case study based on the technology acceptance model, with four aspects discussed: perceived usefulness, perceived ease of use, attitudes towards using, and behavioral intention to use. The structure is composed of participation motivation, social impact, quality of information, personal innovativeness, and other exterior factors. This research conducted an online survey on users of the mobile messaging application LINE and adopted quantitative methods to verify the connections among the variables by using the 444 valid samples collected, hoping to give suggestions for government agencies to manage their official accounts.
As a result, the research found that the significant positive effect of perceived usefulness is attributed to novelty, understandability, and reliability of information quality, and the positive effect of perceived ease of use is in light of understandability, reliability, and personal innovativeness of information quality. The attitudes towards using are effected by the interior and exterior stimulation of participation motivation as well as perceived usefulness. For the positive effect on the behavioral intention to use, it is influenced notably by the attitudes towards using, social impacts, and others factors, while only perceived usefulness does not have direct relevance to behavioral intention to use.
目次 Table of Contents
論文審定書……………………………………………………………….i
誌謝………………………………………………………………….…...ii
中文摘要……………………………………………………..………….iii
英文摘要……………………………………………………..…...……. iv
第一章 緒論…………………………………………………………..….1
第一節 研究背景與動機……………………………………………………..……..1
第二節 研究目的與研究問題………………………………………………..……..6
第二章 文獻探討…………………………………………………….......8
第一節 電子化政府………………………………………………………….…...…8
第二節 行動通訊軟體LINE………………………………………………………12
第三節 使用行為意圖相關研究…………………………………………………..16
第四節 外部變數…………………………………………………………………..23
第三章 研究方法……………………………………………………….31
第一節 研究架構與假說…………………………………………………………..31
第二節 操作型定義與問卷設計…………………………………………………..37
第三節 研究對象與研究工具……………………………………………………..41
第四節 資料分析方法……………………………………………………………..41
第四章 分析與結果…………………………………………………….45
第一節 前測資料分析……………………………………………………………..45
第二節 描述性統計………………………………………………………………..47
第三節 信效度分析………………………………………………………………..50
第四節 獨立樣本T檢定分析………………………………………….………….53
第五節 變異數分析………………………………………………………………..53
第六節 迴歸分析……………………………………………………….………….57
第七節 研究假說檢定結果…………………………………………….………….62
第五章 結論與建議…………………………………………….………65
第一節 研究結論……………………………………………………….………….65
第二節 研究貢獻……………………………………………………….………….71
第三節 研究限制與未來研究建議…………………………………….………….73
參考文獻……………………………………………….……………….76
附錄…………………………………………………….……………….84
參考文獻 References
一、中文部分
王國政、柯炳式(2011)。主要先進國家社會網路應用實例。研考雙月刊,35(4), 54-72。
王嵩音(2007)。網路使用之態度、動機與影響。資訊社會研究,12,57-85。
王緗沅(1997)。部落格使用行為之研究─以無名小站部落格為例。國立東華大學碩士論文。
行政院研究發展考核委員會(2008)。電子化政府年度報告書(96年度)。台北:行政院研究發展考核委員會。
余曉婷(2011)。候選人Facebook粉絲專頁之使用意圖研究-UTAUT模型驗證。中國文化大學碩士論文。
宋雅雯(2012)。影響社群網站持續使用意圖因素之研究 ─以Facebook粉絲專頁為例。國立東華大學碩士論文。
宋餘俠、蔡世田(2011)。政府參與社會網絡新思維。研考雙月刊,35(4),10-22。
宋曉玫(2011)。以科技接受模式探討中高齡者使用網路即時通訊軟體之意圖與行為。國立臺灣師範大學碩士論文。.
李政諺(2013)。影響社群APP使用意圖之因素研究-以臉書APP為例。國立中央大學碩士論文。
吳明隆(2007)。SPSS操作與應用:問卷統計分析實務。臺北市:五南圖書出版股份有限公司。
吳坤錨(2006)。服務品質、產品品質、產品價格對顧客滿意度關聯性之研究-以3G行動通訊產業為例。南華大學資訊管理學研究所碩士論文。
吳俊毅(2000)。科技接受模式之實徵研究。國立中央大學碩士論文。
尚修國(2013)。以科技接受模式與創新擴散理論為基礎評估影響行動即時通訊軟體使用意願的關鍵因素。中原大學碩士論文。
房彥岑(2014)。行動即時通訊軟體持續使用意圖之研究-以LINE為例。虎尾科技大學碩士論文。
林素蓮(2013)。結合科技接受模式及社會資本理論探討即時通訊App之持續使用意圖。中原大學碩士論文。
林靜儀、劉昌佑。(2013)。個人創新和知覺樂趣性對智慧型手機使用者的態度和行為意圖之影響。國立屏東商業技術學院學報。15,179-206。
林靈宏(1993)。消費品類型、創新類型與新產品行銷策略關係研究。國立政治大學博士論文。
邱馨儀(2014)。LINE企業官方帳號不持續關注之影響因素。國立高雄大學碩士論文。
洪新原、梁定澎、張嘉銘(2005)。科技接受模式之彙總研究. [A Meta-Analysis of Empirical Research Using TAM]。資訊管理學報,12(4),211-234。
洪榮志(2008)。即時通訊軟體使用行為研究。國立中山大學碩士論文。
徐佳綾(2011)。公部門利用社群網站從事活動行銷之效果研究:以 Facebook 粉絲專頁為例。中華大學碩士論文。
張世邦(2015)。以整合型科技接受理論探討消費者對行動通訊軟體語音服務使用意願之研究。佛光大學碩士論文。
莊豐州(2011)。以科技接受模式探討國小教師使用多功能e化數位教室於教學之意向研究。國立屏東教育大學碩士論文。
許祐嘉(2013)。民眾參與政府社群媒體之實證研究─以交通部觀光局經營 Facebook為例。國立中興大學碩士論文。
郭俊添(2011)。地方政府導入社會網絡經驗談-以嘉義市政府為例。研考雙月刊,35(4),101-104。
陳世智、吳智鴻、吳彥濬、陳靚(2014)。探討影響Facebook粉絲專頁持續使用意圖之因素:社會資本觀點。中山管理評論,22(2),205-238。
陳念群(2014)。個人創新及從眾行為對科技接受模式影響之研究-以台灣 LINE App 為例。龍華科技大學碩士論文。
曾健銓(2010)。從電子化政府到行動政府: 台北市里長使用市長信箱與 1999 市民熱線之研究。國立政治大學碩士論文。
游騏良(2013)。以科技接受模式探討行動即時通訊平台LINE使用意願之研究。國立屏東商業技術學院碩士論文。
資策會FIND(2014)。2014臺灣消費者行動裝置暨APP使用行為研究調查報告。
資策會FIND/經濟部技術處(2016)。服務系統體系驅動新興事業研發計畫(2/4)。
廖久慧(2013)。探討行動通訊軟體之使用行為-以臺灣LINE App為例。南華大學碩士論文。
劉揚翊(2018)。探討資訊品質對LINE企業官方帳號的影響:兼論官方帳號加入動機之調節效果。東海大學碩士論文。
劉滄碩(2017)。LINE@行動行銷 邁向百萬星級店家。台北:碁峰資訊股份有限公司。
鍾旻杰(2018)。軍校生使用即時通訊軟體應用之研究-以LINE為例。國防大學碩士論文。
鍾欣倫(2011)。以科技接受模式探討影響使用行動上網之行為意願。國立東華大學碩士論文。
簡宏偉(2012)。電子化政府推動成果。研考雙月刊,36(6),72-79。
簡苡其(2013)。行動通訊軟體持續使用意圖之研究。世新大學碩士論文。
蘇毅寬(2013)。影響民眾持續使用社交型電子化政府服務之因素。國立中正大學碩士論文。
欒斌、詹博仁(2010)。影響企業部落格瀏覽者行為意向因素之探討。行銷評論,7(4),471-495。

二、英文部分
Adams, D. A., Nelson, R. R., & Todd, P. A.,(1992), Perceived usefulness, ease of use and usage of information technology: A replication, MIS Quarterly, 16(2), 227-247.

Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9(2), 204-215.

Ahn, T., Ryu, S., & Han, I. (2007). The impact of web quality and playfulness on user acceptance of online retailing. Information & Management, 44(3), 263-275.

Al-Hujran, O., Al-dalahmeh, M., & Aloudat, A. (2011). The role of national culture on citizen adoption of egovernment services: An empirical study. Electronic Journal of e-Government, 9(2), 93-106.

Carter, L., & Bélanger, F. (2005). The utilization of e‐government services: citizen trust, innovation and acceptance factors. Information Systems Journal, 15(1), 5-25.

Chen, Q. & Wells W. D. (1999). Attitude toward the Site. Journal of Advertising Research, 39(5), 27-54.

Chen, S. C., & Lin, C. P. (2015).The impact of customer experience and perceived value on sustainable social relationship in blogs: An empirical study. Technological Forecasting and Social Change, 96, 40-50.

Chun, S. A., Shulman, S., Sandoval, R., & Hovy, E. (2010). Government 2.0: Making connections between citizens, data and government. Information Polity, 15(1), 1-9.

Chiu, C.-M., Wang, E. T. G. (2008). Understanding web-based learning continuance intention: The role of subjective task value. Information & Management, 45(3), 194-201.

Davis, F. D.(1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-339.

Dumitrache, M. (2010). E-Commerce applications ranking. Informatica Economică, 14(2), 120-132.

Dwivedi, Y. K., Williams, M. D., Rana, N. P., & Williams, J. (2011). Reflecting on e-government research: toward a taxonomy of theories and theoretical constructs. International Journal of Electronic Government Research, 7(4), 64-88.

Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An Introduction to Theory and Research. Reading. MA:Addison-Wesiey.

Guilford, J. P. (1965). Fundamental statistics in psychology and education, New York: McGraw-Hill.

Horst, M., Kuttschreuter, M., & Gutteling, J. M. (2007). Perceived usefulness, personal experiences, risk perception and trust as determinants of adoption of e-government services in The Netherlands. Computers in Human Behavior, 23(4), 1838-1852.

Hoyer, W., & MacInnis, D. (1997). Customer behavior: Boston: Houghton Mifflin.

Hamid, A., Razak, F., Bakar, A.,& Abdullah, W.,(2016). The effects of perceived usefulness and perceived ease of use on continuance intention to use e-government. Procedia Economics and Finance, 35, 644-649.

Jaeger, P. T. (2003). The endless wire: E-government as global phenomenon. Government Information Quarterly, 20(4), 323-331.

Kotler, P., & Lee, N. (2009). Marketing in the Public Sector: A Roadmap for Improved Performance. 台北: 台灣培生教育出版股份有限公司.

Kaiser, H. F. (1974). An index of factorical simplicity. Psychometrica, 31-36.

Lee, A. R., Son, S. M., & Kim, K. K. (2016). Information and communication technology overload and social networking service fatigue: A stress perspective. Computers in Human Behavior, 55, 51–61.

Liron H. B. (2018). Mobile Messaging App Map-February 2018.March 7, 2018, from https://www.similarweb.com/blog/mobile-messaging-app-map-2018#

Lu, J., Yao, J. E., & Yu, C.-S. (2005). Personal innovativeness, social influences and adoption of wireless internet services via mobile technology. The Journal of Strategic Information Systems, 14(3), 245-268.

Luo, X. (2002). Uses and Gratifications Theory and E-consumer Behaviors: A Structural Equation Modeling Study. Journal of Interactive Advertising, 2(2), 34-41.

Maslow, A. H. (1943). A theory of human motivation. Psychological Review, 50, 370-396.

McKinney, V., Yoon, K., & Zahedi, F. M. (2002). The measurement of web-customer satisfaction: An expectation and disconfirmation approach. Information Systems Research, 13(3), 296–315.

Nelson, M.R. (2001). We have the information you want, but getting it will cost you: Being held hostage by information overload. Retrieved November 11, 2013, from http://www.acm.org/crossroads/xrds1-1/mnelson.html

Nam, T., & Sayogo, D. S. (2011). Who uses e-government?: examining the digital divide in e-government use. Paper presented at the ICEGOV 2011, Tallinn, Estonia.

Parveen, F., Abessi, M., & Ainin, S. (2009). Wireless internet-using mobile devices(WIMDs) in Malaysia. International Journal of Mobile Communications, 7(5), 580-593.

Perse, Elizabeth M.(1992). Predicting attention to local television news: Need for cognition and motives for viewing. Communication Reports, 5(1), 41-49.

Pihlström, M. H. (2008). Perceived value of mobile service use and its consequences. Swedish School of Economics and Business Administration. http://urn.fi/URN:ISBN:978-951-555-977-7

Pitchayadejanant, K. (2011). Intention to use of smart phone in bangkok extended utaut model by perceived value. In International Conference on Management (ICM 2011) Proceeding. Conference Master Resources.

Tang, J.-t. E., Tang, T.-I., Chiang, C.-H. (2012). Blog learning: effects of users' usefulness and efficiency towards continuance intention. Behaviour & Information Technology, 33(1), 36-50.

Taylor, S. & Todd, P.A. (1995). Understanding information technology usage: A test of competing models. Information System Research, 6(2), 144-176.

Renny , Suryo G., & Hotniar S. (2013). Perceived usefulness, ease of use, and attitude towards online shopping usefulness towards online airlines ticket purchase. Procedia - Social and Behavioral Sciences, 81, 212-216.

Rogers, E. M., & Shoemaker, F. (1983). Diffusion of innovation: A cross-cultural approach. New York.

Ryan, R.M., & Deci, E.L.(2008). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist,55, 68-79.

Schroder, H. M., Driver, M. J., & Streufert, S. (1967). Human information processing individuals and groups functioning in complex social situations, Holt, Rinehart, and Winston.

Scott B.M., Richard J. L., George E. B. (1986).The Role of attitude toward the Ad as a mediator of advertising effectiveness:A test of competing explanations. Journal of Marketing Research, 23(2), 130-143.

Sheth, J. N., Newman, B. I., & Gross, B. L. (1991). Why we buy what we buy: A theory of consumption value. Journal of Business Research, 22, 159–170.

Szajna, B.(1996). Empircal evauation of the revised technology acceptance model. Management Science, 42(1), 85-92.

Vandijck, E., & Musa, F. (2009). Best-practice framework for developing and implementing e-Government: uitgeverij VUBPRESS Brussels Press.

Venkatesh, V.,Morris, M. G., & Davis, G. B. (2003). User acceptance of information technology: Tower a unified view. MIS Quaterly 27(3),425-478.

Verdegem, P., & Verleye, G. (2009). User-centered e-government in practice: A comprehensive model for measuring user satisfaction. Government Information Quarterly, 26(3), 487-497.

Wang, R. Y. & Strong, D. M. (1996). Beyond accuracy: What data quality means to data consumers. Journal of Management Information Systems, 12(4), 5-33.

Wangpipatwong, S., Chutimaskul, W., & Papasratorn, B. (2008). Understanding citizen's continuance intention to use e-government website: A composite view of technology acceptance model and computer self-efficacy. Electronic Journal of e-Government, 6(1), 55-64.

Wright, S. (1921). Systems of mating. I. The biometric relations between parent and offspring. Genetics 6 (2), 111-23.

Yang, K. C. C.(2005). Exploring factors affecting the adoption of mobile commerce in Singapore. Telematics and Informatics, 22(3), 257-277.
電子全文 Fulltext
本電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。
論文使用權限 Thesis access permission:校內校外完全公開 unrestricted
開放時間 Available:
校內 Campus: 已公開 available
校外 Off-campus: 已公開 available


紙本論文 Printed copies
紙本論文的公開資訊在102學年度以後相對較為完整。如果需要查詢101學年度以前的紙本論文公開資訊,請聯繫圖資處紙本論文服務櫃台。如有不便之處敬請見諒。
開放時間 available 已公開 available

QR Code