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  1. NTU Theses and Dissertations Repository
  2. 文學院
  3. 圖書資訊學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/58348
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor謝寶煖(Pao-Nuan Hsieh)
dc.contributor.authorMei-Ling Hsuen
dc.contributor.author徐枚伶zh_TW
dc.date.accessioned2021-06-16T08:12:08Z-
dc.date.available2014-02-26
dc.date.copyright2014-02-26
dc.date.issued2014
dc.date.submitted2014-02-17
dc.identifier.citation一、中文部分
吳明隆(2005)。SPSS統計應用學習實務—問卷分析與應用統計(二版)。臺北市:知城數位科技。
吳明隆(2009)。結構方程模型:Amos的操作與應用。臺北市:五南。
吳萬益(2000)。企業研究方法。臺北:華泰文化事業。
李志成、姜齊(2006)。電子書使用意願模型之建構與實證-科技接受模型之運用。工研院創新與科技管理研討會。
李靜宜(2010)。以科技接受模式探討電子資源整合查詢系統之使用行為-以師大圖書館MetaLib為例。國立交通大學資訊學院數位圖書資訊學程研究所。未出版碩士論文。臺灣博碩士論文知識加值系統。
沈郁倡(2000)。應用理性行為理論探討高階主管對於資訊科技在企業流程改造之角色。雲林科技大學資訊管理研究所。未出版碩士論文。臺灣博碩士論文知識加值系統。
花英德(2008)。以科技接受模式探討國小學童Moodle教學平台使用行為之研究-以資訊議題教材為例。未出版之碩士論文,東海大學教育研究所,臺中市。
邱皓政(2006)。量化研究與統計分析 spss中文視窗版資料分析範例解析(基礎版)。台北市:五南。
洪惠敏(2009)。行銷活動對信用卡刷卡行為之影響─以計劃行為理論觀點。成功大學高階管理研究所,未出版碩士論文。臺灣博碩士論文知識加值系統。
柯燕茹(2011)。智慧型手機行動銀行消費者使用行為意圖研究─以理性行為理論及科技接受模型觀點。成功大學高階管理研究所,未出版碩士論文。臺灣博碩士論文知識加值系統。
曾靖雅(2009)。應用科技接受模型闡釋使用者對電子化政府學習之行為。未出版之碩士論文,國立交通大學管理科學系所,新竹市。
夏榕文 (2010)。大學生認知好用性、認知有用性、認知有趣性對數位學習意願之影響—以中華大學為研究對象。績效與策略研究,7(2),35-48。
陳宜伶(2009)。電腦自我效能、主觀規範與信任對網路購物意願之影響-科技接受模式與理性行為觀點。成功大學企業管理學研究所論文,未出版碩士論文。臺灣博碩士論文知識加值系統。
陳順宇(2005)。多變量分析,台北:華泰書局。
陳建源(2009)。制度信任、認知有用性、認知易用性對消費者使用意圖之影響-以行動商務為例。成功大學高階管理研究所論文,未出版碩士論文。臺灣博碩士論文知識加值系統。
陳薇竹(2007)。引用文獻索引資料庫之比較研究。國立政治大學圖書資訊與檔案學研究所論文,未出版之碩士論文。臺灣博碩士論文知識加值系統。
張金鐘(2002)。以科技接受模式探討學生與職員採用數位化教材的態度。未出版之碩士論文,國立中山大學資訊管理研究所,高雄市。
張偉豪(2011)。SEM論文寫作不求人 。高雄市:三星統計。
張琡婍(2005)。影響消費者對電子書接受意願因素之研究。未出版之碩士論文,嘉義大學行銷與流通管理研究所,嘉義市。
楊雅婷(2009)。以理性行為理論和科技接受模型來探討消費者對創新科技智慧型手機的購買意願行為之研究。南華大學企業管理系管理科學,未出版之碩士論文。臺灣博碩士論文知識加值系統。
榮泰生(2009)。AMOS與研究方法。臺北市:五南。
臺灣網路資訊中心(2012)。2012年臺灣寬頻網路使用調查報告。上網日期:2013,January, 13。檢自:http://www.twnic.net.tw/download/200307/20120709c.pdf
二、西文部分
Adlington, J., & Benda, C. (2005). Checking under the hood: Evaluating Google Scholar for reference use. Internet reference services quarterly, 10(3-4), 135-148.
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Ajzen, I. & Fishbein, M. (1980). Understanding attitudes and predicting social behavior, Englewood Cliffs, NJ: Prentice-Hall.
Ajzen, I. (1985). From intention to actions behavior in action control from cognition to behavior. Springer Verlag, New York.
Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50, 179-211.
Au, N., Ngai, E. W. T., & Cheng, T. C. E. (2002). A critical review of end-user information system satisfaction research and a new research framework. Omega-International Journal of Management Science, 30(6), 451-478.
Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16 (1), 74-94.
Bloemer, J., & Kasper, H. (1995). The complex relationship between consumer satisfaction and brand loyalty. Journal of Economic Psychology, 16, 311–329
British Library. (2008). The British Library's strategy 2008-2011. Retrieved July 7, 2013, from http://www.bl.uk/aboutus/stratpolprog/strategy0811/blstrategy20052008.pdf
Brophy, J. & Bawden, D. (2005). Is Google enough? Comparison of an internet search engine with academic library resources. Aslib Proceedings, 57(6), 498-512.
Burton-Jones, A., & Hubona, G. S. (2006). The mediation of external variables in the technology acceptance model. Information Management, 43, 706–717.
Callicott, B., & Vaughn, D. (2005). Google Scholar vs. library scholar: Testing the performance of schoogle. Internet reference services quarterly, 10(3-4), 71-88.
Chang, K., & Chang, C. (2009). Library self-service: Predicting user intentions related to self-issue and return systems. The Electronic Library, 27(6), 938-949.
Chen, Lei-da., Gillenson, M. L. and Sherrell, D.L. (2002). Enticing online consumers: an extended technology acceptance perspective. Information & Management, 39(8), 705-719.
Chen, X. (2006). MetaLib, WebFeat, and Google : The strengths and weaknesses of federated search engines compared with Google. Online Information Review, 30(4), 413-427
Chew, K.-W., Shingi, P., & Ahmad, M. (2006). TAM derived construct of perceived customer value and online purchase behavior: an empirical exploration. In R. Suomi, R. Cabral, J. Hampe, A. Heikkila, J. Jarvelainen & E. Koskivaara (Eds.), Project E-Society: building bricks (vol. 226, pp. 215-227): Springer Boston.
Cothran, T. (2011). Google Scholar acceptance and use among graduate students: A quantitative study. Library & Information Science Research, 33(4): 293-301.
Cuieford, J. P., (1965). Fundamental Statistics in Psychology and Education, 4th Edition, New York: McGraw Hill.
Davis, F. D. (1986). A Technology Acceptance Model for empirically testing newend-user information system: theory and results. Doctoral dissertation, Sloan School of Management, Massachusetts Institute of Technology.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, September, 319-340.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35, 982–1003.
Davis, F. D. (1993). User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 38, 475–487.
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. Journal of Management Information Systems, 19(4), 9-30.
Delphi Group (2004). Information Intelligence: Content Classification and the Enterprise Taxonomy Practice. Retrieved Apr. 28, 2012, from http://stratify.com/infocenter/download/DelphiResearchReport2004.pdf
Donlan, R., & Cooke, R. (2005). Running with the devil: Accessing library-licensed full text holdings through Google Scholar. Internet reference services quarterly, 10(3-4), 149-157.
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Fishbein, M., and Ajzen, I. (1975). Belief, Attitude, Intention and Behaviour: An Introduction to Theory and Research, Addison-Wesley. MA.
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Gefen, D. & Straub, D. W. (2003). Managing User Trust in B2C E-Service. E-Service Journal, 2(2), 7-23.
Google Scholar. (2012). About Google Scholar. Retrieved Jul. 11, from 2012 http://scholar.Google.com/intl/en/scholar/about.html
Hair, J. F., Tatham, R. L., Anderson,R. E., Black, W. (1998). Multivariate Data Analysis with Readings(5th ed.). Upper Saddle River, New Jersey: Prentice Hall.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (6th ed.). New Jersey : Prentice-Hall.
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Haya, G., Nygren, E., & Widmark, W. (2007). Metalib and Google Scholar: A user study. Online Information Review, 31, 365–375.
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Hu, P. J., P. Y. K. Chau, et al. (1999). Examining the Technology Acceptance Model using physician acceptance of telemedicine technology. Journal of Management Information Systems, 16(2): 91-112.
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Jacso, P. (2005). Google Scholar: The pros and the cons. Online Information Review, 29(2), 208-214.
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Kim, J. (2006). Toward an understanding of web-based subscription database acceptance. Journal of the American Society for Information Science and Technology, 57, 1715–1728.
Lackie, R. J. (2005). Google's print and scholar initiatives: The value of and impact on libraries and information services. Internet reference services quarterly, 10(3-4), 57-70
Lederer, A. L., Maupin, D. J., Sena, M. P., & Zhuang, Y. (2000). The technology acceptance model and the World Wide Web. Decision Support Systems, 29(3), 269-282
Levine-Clark, M. and Kraus, J. (2007). Finding chemistry information using Google Scholar: a comparison with Chemical Abstracts Service. Science and Technology Libraries 27(4): 3-16
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Robinson, M. L., & Wusterman, J. (2007). Putting Google Scholar to test: A preliminary study. Program, 41(1), 71-80
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/58348-
dc.description.abstract隨著資訊科技之快速更迭,面對多元且與日俱增的電子資源,如何取用及管理所需的學術資訊,已成為使用者和圖書館共同面臨的問題。Google於2004年11月宣布推出Google Scholar (beta版),內容包含經同儕審查的期刊論文、學位論文、圖書以及相關學術資源。Google Scholar提供線上單一學術搜尋之入口,以幫助使用者查找到相關的學術資源。許多圖書館建置電子資源整合系統以服務讀者,但圖書館挹注在電子資源經費的比例逐年增加。反觀Google Scholar提供單一入口之學術資源搜尋工具,免費、簡單且快速的檢索模式,將吸引眾多使用者使用。因此本研究以使用者角度探討對於Google Scholar的認知行為與使用意願。
本研究以Google Scholar為研究系統,臺師大學生為研究對象,以網路問卷方式獲得465份有效問卷,並利用SPSS 12.0與Amos 20.0 進行問卷調查結果統計分析。本研究以科技接受模式為理論並增加滿意度和忠誠度做為外部變數。目的在於探討調查學生對於Google Scholar的知覺有用與知覺好用。研究結果發現,Google Scholar是有助於使用者查尋到所需的資源,以及使用者滿意並認同Google Scholar的功能,大部份人願意進一步推薦他人使用此系統。研究結果顯示,科技接受模式是有助於預測學生使用Google Scholar的行為,並協助學術圖書館員瞭解學生對於資訊的尋求方式。同時證實知覺有用、知覺好用、系統品質、資料廣泛性、主觀規範、滿意度、忠誠度確實會影響使用者對於Google Scholar之認知情形、系統接受度與使用意願。
最後,本研究建議除了研究結果可供師大圖書館作為改善參考服務以及規劃使用者利用教育課程之外,也建議進行與其他整合查詢系統之使用行為研究,探討不同系統間的使用行為與系統接受度的差異性。
zh_TW
dc.description.abstractWith the rapid change of information technology, the face of diverse and growing electronic resources, how to access and manage the necessary academic information, has become a common problem faced by users and libraries. Google released in beta in November 2004, the Google Scholar index includes peer-reviewed journals, thesis, scholarly books, and other scholarly publishers. Google Scholar provides a simple way to broadly search for scholarly literature. Helping users find relevant work across the world of scholarly research. Many libraries have implemented federated search systems to offer integrated services for users. But, the proportion of library budgets for electronic resources is increasing in recent years. In contrast, Google Scholar to use its powerful search engines to crawl academic resources, academic resources to provide a single portal search tools free, simple and fast search mode, will attract many users. Therefore, this study is to investigate the perceptions, acceptance and usage behavior users on Google Scholar.
This study takes Google Scholar as a target system and the faculty and students of NTNU as objects to collect 465 effective questionnaires by online survey. SPSS 12.0 and Amos 20.0 are used to analyze the questionnaire responses. Adding the external variables of satisfaction and loyalty to Fred Davis' technology acceptance model (TAM). This study examined the extent to which students perceived Google Scholar to be a resource that is useful and easy to use. The results show that Google Scholar are helpful to get the needed resources for users. Users recognize the functions of systems and most of them will recommend it to others.This research showed that TAM is an applicable model for predicting student use of Google Scholar, which can help academic librarians seeking to understand student acceptance of new information sources. It is proved that perceived usefulness, perceived ease of use, system quality, comprehensiveness, subjective norm, satisfaction, and loyalty affect the perceptions, acceptance and usage behavior of Google Scholar indeed.
Finally, this study suggests the results of analysis can be offered to NTNU Library for reference service and library Instruction to enhance. Besides, it also recommends to proceed an integrated study about usage behavior of other federated search systems to explore the differences between usage behavior and acceptance of different systems.
en
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Previous issue date: 2014
en
dc.description.tableofcontents摘要 ii
表次 iv
圖次 v
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 3
第三節 研究範圍與限制 3
第四節 名詞解釋 4
第二章 文獻分析 5
第一節 Google Scholar 5
第二節 理性行為理論與科技接受模式 16
第三節 各研究變數間關係之探討 29
第三章 研究方法與步驟 35
第一節 研究架構與研究假設 35
第二節 研究變數與操作型定義 36
第三節 問卷設計 42
第四節 研究步驟及流程 45
第五節 資料分析方法 48
第四章 結果與討論 55
第一節 樣本基本資料分析 55
第二節 信效度分析 77
第三節 結構方程模式分析 93
第五章 結論與建議 105
第一節 結論 105
第二節 建議 110
第三節 進一步之建議 113
參考文獻 115
附錄 研究問卷 122
dc.language.isozh-TW
dc.title大學院校學生使用Google Scholar之意願-以臺灣師範大學為例zh_TW
dc.titleGoogle Scholar acceptance and use among university students -A case study at National Taiwan Normal Universityen
dc.typeThesis
dc.date.schoolyear102-1
dc.description.degree碩士
dc.contributor.oralexamcommittee蔡明月,林雯遙
dc.subject.keywordGoogle Scholar,科技接受模式,使用者研究,zh_TW
dc.subject.keywordGoogle Scholar,Technology Acceptance Model,User Study,en
dc.relation.page126
dc.rights.note有償授權
dc.date.accepted2014-02-17
dc.contributor.author-college文學院zh_TW
dc.contributor.author-dept圖書資訊學研究所zh_TW
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