博碩士論文 954404003 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:12 、訪客IP:3.140.198.43
姓名 彭鈺娟(Yu-Chuan)  查詢紙本館藏   畢業系所 產業經濟研究所
論文名稱 台灣消費者網路近用、數位學習與數位焦慮之行為分析
(Behavior analysis of Internet access, e-learning and digital anxiety of consumers in Taiwan)
相關論文
★ 論企業重整運作機制---兼論公司重整治理及新資金取得★ 評析我國證券交易法內線交易之規範—以美國立法例為借鏡
★ 不動產投資信託之研究- 以投資人保護為中心★ 婚姻制度之過去、現在及未來-以兩岸為研討對象
★ 論我國公司治理規範-兼論公司內部稽核制度完善★ 從電子商務演進-探討銀行電子金融服務創新
★ 論銀行保證制度之研究★ 非常規交易稅制問題之研究
★ 中國銀行產業分析—兼論台資銀行西進策略★ 財富管理業務之探討─以花旗銀行及合作金庫商業銀行為例
★ 網路購物標價錯誤法律效果之研究★ 數位相機產業市場結構、行為與績效之研究
★ 企業危機處理策略之探討─以台灣非酒精飲料業為例★ 以軟硬整合思維重新探討智慧型手機商業模式
★ 股東表決權-論公開發行公司董事設質股票之表決權限制★ 企業之開放式創新行為探討-以光寶科技為例
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   [檢視]  [下載]
  1. 本電子論文使用權限為同意立即開放。
  2. 已達開放權限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。
  3. 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。

摘要(中) 自1980年代台灣發展電子與高科技產業以來,不論是製造生產技術、產業發展與資訊社會進程均己臻成熟,鑑於資通訊產品在摩爾定律的制約下,我國民眾於資通訊產品的使用與普及率幾居全球之先。以2014年由行政院國家發展委員會所發佈之個人與家戶數位機會調查報告中指出,12歲以上民眾近用智慧型手機和行動網路的比率高達94.6%與91.5%,在如此高資訊滲透率的同時,雖大幅提升生活與工作上的便利,亦可能伴隨負面的影響。因此,本論文以台灣資訊近用行為進行三篇研究議題。首先,先行對台灣第三代行動通訊技術之使用價值進行分析;再者,研析台灣民眾進行單向與雙向數位學習行為;最後,將對台灣網路社群、即時通訊與數位焦慮行為進行關聯分析。
於第一部份3G使用價值分析上,將關注台灣消費者在不同3G服務發展階段的決定因素、使用價值及其數位落差之數值,並與寬頻服務的使用進行比較。利用傾向分數配對法分析後發現,2009年3G成長期與2014年3G成熟期的使用決定因素特徵一致,且迥異於寬頻服務的使用決定因素。於2009年3G成長期之使用價值為新台幣118.189元,於2014年3G成熟期時則躍升至新台幣617.669元。使用價值之數位落差僅存在於2014年3G成熟期,具新台幣50.029元,都會區與非都會區則具些微之實證結果差異。
於第二部份台灣民眾之數位學習行為分析上,主要研究目標在於以個體特徵、資訊近用特徵、個體網路特徵與個體地區特徵計四大面向,研析民眾進行單向與雙向數位學習之行為決定因素,並推估民眾在單向與雙向數位學習後之學習成效。另依樣本區分,將民眾分為學生與非學生族群,檢視不同身份下民眾數位學習行為。利用多元選擇處理效果模型推估後,發現單向和雙向數位學習決定因素之特徵組合具頗大差異,此類差異亦存在學生與非學生民眾之實證結果,單向數位學習行為之數位學習成效高於雙向數位學習行為,且非學生民眾之數位學習成效遠異於學生族群。
最後,於數位焦慮行為的討論上,先行分析台灣民眾使用網路社群與即時通訊服務之決定因素,進而推估民眾使用網路社群與即時通訊服務之使用頻率,與數位焦慮之間的關聯。利用傾向分數配對法分析後,實證結果顯示,主要決定因素為低年齡、女性、高學歷、都會區、高移動性資通訊工具與網路、高網路價值認知和接觸網路年資愈長的民眾特徵,一旦使用網路社群與即時通訊服務,將會誘發15.3~15.7%之數位焦慮形成機率。
綜上而論,本論文所進行之三篇資訊近用議題上,民眾將因較高的網路使用價值,大幅提升採用新世代通訊技術,並經由資通訊技術(如3G技術)的使用,擴展近用數位化相關應用服務(如單向與雙向數位學習、網路社群、即時通訊等應用服務)。另在近用數位化相關應用服務的過程中,民眾將花費大量時間於線上網路的世界,因而產生網路成癮與數位焦慮的情形。資訊近用行為與其應用服務至今發展已臻至成熟、甚為多元,本論文雖無法含蓋所有資訊近用之議題,但已點出資訊近用行為可能對人類社會產生之正向與負面衝擊,進行此三議題的目的除上述動機外,亦可補足目前研究文獻之缺口。
摘要(英) Since the development of electronics and high-tech industries in 1980s, the manufacturing and production technology, industry development and information society progress have all reached a mature state. Meanwhile, information and communication product was still subject to the limit of Moore’s law, the popularity and usage of information and communication product for the citizen of this country was in the top rank of the world. In a survey report of digital opportunity for individual and household as announced in 2014 by National Development Council of the Executive Yuan, the proportion of the access of smartphone and mobile network for citizen above 12 years old was as high as 94.6% and 91.5% respectively, while at such high information penetration rate, although the convenience of work and life had been greatly enhanced, yet negative influence might accompany. Therefore, three research topics were conducted in this paper based on information access behavior. First, the usage value of the third generation mobile communication technology in Taiwan was conducted with value analysis; next, the single-way and dual way e-learning behavior conducted by Taiwan’s people was analyzed; finally, correlation analysis will be conducted on internet community, instant messaging and digital anxiety behavior in Taiwan.
In the 3G usage value analysis of the first part, focus will be put on the decision factors, usage value and the value of its digital divide of Taiwan’s consumers in different 3G service development stages, meanwhile, a comparison will be conducted with the usage of broadband service. After using propensity score matching method to do the analysis, it was found that the usage decision factor characteristic of 3G growth period in 2009 was consistent with that of 3G mature period in 2014, meanwhile, it was totally different than the usage decision factor of broadband service. The usage value in 3G growth period in 2009 was 118.189 NT dollars, but in 3G mature period in 2014, it rose to 617.669 NT dollars. Moreover, the digital divide of usage value only existed in the 3G mature period in 2014, which was about 50.029 NT dollars, however, there was a little bit empirical result difference between metropolitan area and non-metropolitan area.
In the e-learning behavior analysis of Taiwan’s people of the second part, the main research targets were based on four perspectives such as individual feature, information access feature, individual network feature and individual local feature to study and analyze the decision factors when Taiwan’s people were conducting single-way and dual-way e-learning behavior, meanwhile, the learning performance of people after single-way and dual-way e-learning was also estimated. In addition, based on the sample, people were divided into student group and non-student group to inspect people’s e-learning behavior under different identity. After estimation using multi-selection handling effect model, it was found that the feature combination of decision factor between single-way and dual-way e-learning existed pretty large difference, and such difference also existed in the empirical result of the student and non-student people, moreover, the e-learning performance of single-way e-learning behavior was higher than that of dual-way e-learning behavior, meanwhile, the e-learning performance of non-student people was quite different than that of the student group.
Finally, in the discussion of digital anxiety behavior, the decision factors of Taiwan’s people using internet community and instant messaging service was analyzed first so as to estimate the correlation between people’s usage frequency of internet community and instant messaging service and digital anxiety. After using propensity score matching method for analysis, the empirical result showed that the main decision factors were low age, female, high education level, metropolitan area, highly mobile information and communication tool and network, high internet value recognition and people’s feature of longer years of contact with internet, once they have used internet community and instant messaging service, about 15.3~15.7% of formation probability of digital anxiety will be induced.
Generally speaking, in three information access topics as conducted in this paper, people will be expanded for their access to digital related application services (such as application services of single-way and dual-way e-learning, internet community and instant messaging service) due to higher internet usage value, great enhancement of the adoption of new generation communication technology and through the usage of information and communication technology (such as 3G technology). In addition, in the process of access of digital related application service, people will spend large amount of time in online network world, consequently, internet addiction and digital anxiety will be formed. The development of information access behavior and its application service was mature and diversified today, although this paper cannot cover all the information access topics, yet it had pointed out the positive and negative impact the information access behavior might generate on human society. The objective of conducting these three topics, in addition to the above motives, can also supplement the shortage of research literature presently.
關鍵字(中) ★ 資訊近用
★ 第三代行動通訊技術
★ 數位學習
★ 數位焦慮
★ 傾向分數配對法
★ 多元選擇處理效果模型
關鍵字(英) ★ Internet access
★ 3G
★ e-learning
★ digital anxiety
★ propensity score matching method
★ multinomial treatment model
論文目次 中文摘要 i
英文摘要 iii
誌謝 vi
目錄 vii
圖目錄 x
表目錄 xi
第一章 台灣第三代行動通訊技術之使用價值分析 1
1-1 緒論 1
1-1-1 研究動機 1
1-1-2研究目的 4
1-2 文獻回顧 5
1-2-1相關文獻回顧 5
1-2-2政府相關政策 14
1-3 資料來源說明 17
1-4 實證模型設定 20
1-5 實證結果說明 25
1-6 結論與建議 32
1-6-1 結論 32
1-6-2 建議 33
1-7參考文獻 37
第二章 單向與雙向數位學習之決定因素與成效分析 40
2-1緒論 40
2-1-1 研究動機 40
2-1-2 研究目的 43
2-2文獻回顧 44
2-3資料來源與說明 49
2-4實證模型設定 51
2-6結論與建議 68
2-6-1結論 68
2-6-2建議 69
2-7參考文獻 71
第三章 網路社群、即時通訊與數位焦慮行為之關聯分析 74
3-1緒論 74
3-1-1 研究動機 74
3-1-2 研究目的 78
3-2 文獻回顧 79
3-3 資料來源與敘述性統計 94
3-3-1 資料來源說明 94
3-3-2 敘述性統計 95
3-4 實證模型設定 97
3-5 實證結果說明 104
3-6 結論與建議 115
3-6-1 結論 115
3-6-2建議 116
3-7參考文獻 118
參考文獻 第一章
﹝1﹞ 廖俊雄、陳俊偉和張湄萱,「國內第三代行動電話服務之需求預測」,電子商務學報,13(1),第169-196頁,2011年。
﹝2﹞ H. Ahn and M.H. Lee, “An econometric analysis of the demand for access to mobile telephone networks”, Information Economics and Policy, Vol 11, pp. 297-305, 1999.
﹝3﹞ Y. Akematsu, S. Shinohara, and M. Tsujl, “Empirical analysis of factors promoting the Japanese 3G mobile phone”. Telecommunications Policy, Vol 36, pp. 175-186, 2012.
﹝4﹞ F. Bass, “A new product growth for model consumer durables”. Management Science, Vol 15, pp. 215-227, 1969.
﹝5﹞ S.O. Becker and A. Ichino, “Estimation of average treatment effects based on propensity scores”, The Stata Journal, Vol 2(4), pp. 358-377, 2002.
﹝6﹞ N. Corrocher and A. Ordanini, “Measuring the digital divide: A framework for the analysis of cross-country differences”, Journal of Information Technology, Vol 17, pp.9-19, 2002.
﹝7﹞ A. Goolsbee and P.J. Klenow, “The diffusion of the Internet and the geography of the digital divide in the United States”, NBER Working papers, No. 12182, 2006.
﹝8﹞ E. Hagittai, The digital divide and what to do about it, In D.C. Jones(Eds.) New Economy Handbook. CA: Academic Press, pp. 822-841, 2003.
﹝9﹞ J. James, “From the relative to absolute digital divide in developing countries”, Technological Forecasting & Social Change, Vol 76, pp. 1124-1129, 2009.
﹝10﹞ J. James, “Sharing mobile phones in developing countries: Implications for the digital divide”, Technological Forecasting & Social Change, Vol 78, pp. 729-735, 2011.
﹝11﹞ S.L. Jang, S.C. Dai and S. Sung, “The pattern and externality effect of diffusion of mobile telecommunications: The case of the OECD and Taiwan”, Information Economics and Policy, Vol 17, pp. 133-148, 2005.
﹝12﹞ G. Madden and G. Coble-Neal, “Economic determinants of global mobile telephony growth”, Information Economics and Policy, Vol 16, pp. 519-534, 2004.
﹝13﹞ B.E. Mills and B. Whitacre, “Understanding the non-metropolitan-metropolitan digital divide”, Growth and Change, Vol 34, pp. 219-243, 2003.
﹝14﹞ M. Moss and S. Mitra, “Net equity: A report on income and Internet access”, Journal of Urban Technology, Vol 5, pp. 23-32. 1998.
﹝15﹞ R.E. Rice and J.E. Katz, “Comparing internet and mobile phone usage: digital divide of usage, adoption, and dropouts”, Telecommunications Policy, Vol 27, pp.597-623, 2003.
﹝16﹞ P. Rouvinen, “Diffusion of digital mobile telephony: Are developing countries different? ”, Telecommunications Policy, Vol 30, pp.46-63, 2006.
﹝17﹞ J.H. Wu, and S.C. Wang, “What drives mobile commerce? An empirical evaluation of the revised technology acceptance model”, Information & Management, Vol 42, pp. 719-729, 2005.
﹝18﹞ K. Yuguchi, “The digital divide problem: An economic interpretation of the Japanese experience”, Telecommunications Policy, Vol 32, pp.340-348. 2008.
第二章
﹝1﹞ 方武昌,「國小學童資訊學習適應之相關因素研究-以澎湖地區為例」,國立台南大學,碩士論文,民國84年。
﹝2﹞ 趙貞怡,「國小二年級學童數位學習能力與策略之研究」,師大學報:科學教育類,48(2),197-224頁,2003。
﹝3﹞ 吳佳煇,「社會支持對網路成癮的影響」,資訊社會研究,7,173-189頁,2004年。
﹝4﹞ 吳美美,「數位學習現況與未來發展」,圖書館學與資訊科學,30(2),92-106頁,2004年。
﹝5﹞ 王奐敏,「不利偏遠地區學校資訊素養教育推動因素之研究」,國立交通大學,碩士論文,民國94年。
﹝6﹞ 陳台翎,「國中小學生數位學習機會關係模式之研究」,國立宜蘭大學,碩士論文,民國101年。
﹝7﹞ R. Agarwal and A.E. Day, “The impact of the Internet on economic education”, The Journal of Economic Education, Vol 29, pp. 99-110, 1998.
﹝8﹞ J. Anstine and M. Skidmore, “A small sample study of traditional and online courses with sample selection adjustment”, The Journal of Economic Education, Vol 36, pp.107-127, 2005.
﹝9﹞ B.W. Brown and C.E. Liedholm, “Can web courses replace the classroom in principles of microeconomics”, American Economic Review, Vol 92, pp. 444-448, 2002.
﹝10﹞ J.F. Chizmar and M.S. Walbert, “Web-based learning environments guided by principles of good teaching practice”, The Journal of Economic Education, Vol 30, pp. 248-259, 1999.
﹝11﹞ D.N. Figlio , M. Rush and L. Yin, “Is it live or is it internet? Experimental estimates of the effects of online instruction on student learning”, NBER Working Paper No. 16089, 2010.
﹝12﹞ W.L. Goffe and K. Sosin, “Teaching with technology: May you live in interesting times”, The Journal of Economic Education, Vol 36, pp. 278-291, 2005.
﹝13﹞ S.L. Jang , S.C. Dai and S. Sung , “The pattern and externality effect of diffusion of mobile telecommunications: the case of the OECD and Taiwan”, Information Economics and Policy, Vol 17, pp. 133-148, 2005.
﹝14﹞ S.S. Liaw , H.M. Huang and G.D. Chen, “Surveying instructor and learner attitudes toward e-learning”, Computers & Education, Vol 49, pp. 1066-1080, 2007.
﹝15﹞ A. Morri, “A bright future for distance learning: One touch/hughes alliance promotes interactive “e-learning” service ”, Telephony Online, 1997.
﹝16﹞ P. Navarro and J. Shoemaker, “Policy issues in the teaching of economics in cyberspace: Research design, course design, and research results”, Contemporary Economic Policy, Vol 18, pp. 359-366, 2000.
﹝17﹞ M.J. Rosenberg, e-Learning: Strategies for Delivering Knowledge in the Digital Age, McGraw-Hill Co, 2001.
﹝18﹞ D. Zhang , L. Zhou, R.O. Briggs, and Jr., J.F. Nuamaker, “Instructional video in e-learning: Assessing the impact of interactive video on learning effectiveness”, Information & Management, Vol 43, pp. 15-27, 2006.
第三章
﹝1﹞ 于健與邱孟緘, 「以計畫行為理論探討國小學童網路成癮行為及相關因素」,管理資訊計算,3(2),357-374頁,2014。
﹝2﹞ 方紫薇, 「網路沉迷、因應、孤寂感與網路社會支持之關係:男女大學生之比較」,教育心理學報, 41(4),773-797頁,2010。
﹝3﹞ 汪慧瑜, 「模糊統計分析在網路成癮行為的調查應用」,測驗學刊, 52(1),83-104頁,2005。
﹝4﹞ 吳佳煇, 「社會支持對網路成癮的影響」,資訊社會研究, 7,173-189頁,2004。
﹝5﹞ 林以正、王澄華和吳佳煇, 「網路人際互動特質與依戀型態對網路成癮的影響」,中華心理學刊, 47(3),289-309頁,2005年。
﹝6﹞ 林旻沛、丁建谷、賴雅純和柯慧貞, 「不同成人依附型態大學生在網路成癮傾向上之差異」,中華心理衛生學刊, 18(4),93-119頁,2005年
﹝7﹞ 林宜筠, 「青少年網路成癮歷程之敘說分析:理性選擇觀點」,私立逢甲大學,碩士論文,民國103年。
﹝8﹞ 莊智凱、周長青李和建邦, 「探討Facebook涉入程度、人格特質與人際關係對網路成癮之影響」,數據分析, 9(3),165-186頁,2014。
﹝9﹞ 許韶玲和施香如, 「網路成癮是一種心理疾病嗎?從實證與論述文獻的脈絡檢視」,教育心理學報, 44(4),773-792頁,2013。
﹝10﹞ 陳金英, 「網路使用習性、網路交友期望與社交焦慮之分析」,資訊社會研究, 7,111-145頁,2004。
﹝11﹞ 陳明怡, 「網路生活風格:以台灣大學生長時上網者為例」,國立聯合大學,碩士論文,民國98年。
﹝12﹞ 陳冠名, 「青少年網路使用行為及網路沉迷的因素之研究」,國立高雄大學,碩士論文,民國92年。
﹝13﹞ 陳淑惠、翁儷禎、蘇逸人、吳和懋和楊品鳳, 「中文網路成癮量表之編制與心理計量特性研究」,中華心理學刊, 45(3),279-294頁,2003。
﹝14﹞ 陳瑛琪, 「青少年網路成癮-現實與虛擬環境間的拉鋸戰」,商管科技季刊, 14(2),165-193頁,2013。
﹝15﹞ 郭良文、諸葛俊和劉念夏, 「網路成癮:世代差異研究」,國家發展委員會之新興ICT服務與數位應用行為變遷研究報告,2014。
﹝16﹞ 曾怡慧、施綺珍和楊宜青, 「網路成癮症」,基層醫學, 19(2),35-40頁,2004。
﹝17﹞ 個人家戶數位機會調查報告,國家發展委員會:台北,2014年。
﹝18﹞ 黃宏宇和洪素蘋, 「中文網路成癮量表之等級反應模式分析」,測驗學刊, 54(2),331-354頁,2007。
﹝19﹞ 劉子利、徐錦興和蔡存裕, 「國小學童網路成癮及網路素養現況之研究-以雲林縣斗六市為例」,人文社會科學研究, 4(1),13-49頁,2010。
﹝20﹞ 戴秀津、楊美賞和顏正芳, 「台灣南部青少年網路成癮及其對身心健康影響之探討」,慈濟醫學, 16,241-248頁,2004。
﹝21﹞ F. Bass, “A new product growth for model consumer durables ”, Management Science, Vol 15, pp. 215-227, 1969.
﹝22﹞ G.S. Becker and K.M. Murphy, “A theory of rational addiction ”, Journal of Political Economy, Vol 96, pp. 675-700, 1998.
﹝23﹞ S.O. Becker and A. Ichino, “Estimation of average treatment effects based on propensity scores”, The Stata Journal, Vol 2(4), pp. 358-377, 2002.
﹝24﹞ S.L. Jang , S.C. Dai, and S. Sung, “The pattern and externality effect of diffusion of mobile telecommunications: The case of the OECD and Taiwan”, Information Economics and Policy, Vol 17, pp. 133-148, 2005.
﹝25﹞ K.S. Young, “Internet addiction: The emergence of a new clinical disorder”, Cyber Psychology & Behavior, Vol 1(3), pp. 237-244, 1996.
﹝26﹞ K. Yuguchi, “The digital divide problem: An economic interpretation of the Japanese experience”. Telecommunications Policy, Vol 32, pp. 340-348, 2008.
﹝27﹞ Facebook台灣消費者線上行為調查(2014/6/25),http://www.slideshare.net/yuanping/facebook-36279879
指導教授 王弓、鄭有為 審核日期 2016-9-26
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明