請用此 Handle URI 來引用此文件：
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/6113完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 林晏州 | |
| dc.contributor.author | Shun-Wen Yang | en |
| dc.contributor.author | 楊舜雯 | zh_TW |
| dc.date.accessioned | 2021-05-16T16:21:07Z | - |
| dc.date.available | 2013-08-06 | |
| dc.date.available | 2021-05-16T16:21:07Z | - |
| dc.date.copyright | 2013-08-06 | |
| dc.date.issued | 2013 | |
| dc.date.submitted | 2013-07-30 | |
| dc.identifier.citation | 1.王鑫，(1986)，陽明山國家公園解說與環境教育系統規劃研究報告，台北：內政部營建署。
2.王鑫，(1987)，解說系統規劃說明書，台北：交通部觀光局。 3.吳佩修、朱斌妤，(2001)，解說員影響民眾參觀博物館經驗之研究-以國立科學工藝博物館為例，科技博物，5(4)，65-81。 4.吳宗宏、黃宗成，(2000)，休閒農場遊客對環境解說需求之研究，環境與管理研究，1(2)，119-142。 5.吳忠宏、江宜珍，(2004)，遊客對解說媒體滿意度之研究：以科學工藝博物館為例，台中師院學報，18(1)，159-183。 6.吳忠宏、謝旻熹，(2006)，遊客之旅遊動機與其對解說服務需求之實證研究：以鹿港古蹟景點為例，環境教育研究，3(2)，77-121。 7.李素馨，(1999)，都市視覺景觀偏好之研究，都市與計劃，26，19-40。 8.李銓、黃旭男、陳彗如，(2003)，陽明山國家公園預約解說服務之遊客特性研究，國家公園學報，13(1)，157-183。 9.林達瑤、林喻東、林松村，(2006)，國家森林解說志工參與解說服務動機與工作滿意度之研究-以新竹林區管理處為例，台大實驗林研究報告，20(3)，175-190。 10.張明洵、林玥秀，(2012)，解說與環境教育，台北：松根出版社。 11.張詩悌，(1997)，板橋林家花園解說效果之探討，碩士論文，國立台灣大學園藝學研究所，台北。 12.郭育任，(2005)，解說設施軟、硬體之設計與施工，台北：森林遊憩設施規劃設計與施工研習會暨94年度林務局育樂工程計畫內容說明。 13.陳宗禧、黃悅民、邱柏升、張承憲，(2007)，情境感知行動學習環境學習者行為意向之研究，台北：行政院國家科學委員會。 14.陳羅傑、陳凱凌，(2008），以科技接受模式探討矯正機構遠距接見系統接受度之研究，績效與策略研究，5(2)，17-32。 15.黃芳銘，(2005)，結構方程模式-理論與應用，台北：五南出版社。 16.黃茹蘭、林晏州，(1998)，行道樹視覺景觀偏好影響因素之探討，中國園藝，44，323-337。 17.黃國豪、陳碧茵、賴世偉、林春和，(2009)，博物館學習導覽系統之建置、應用與成效分析，數位學習科技期刊，1(4)，307-325。 18.楊國樞、文崇一、吳聰賢、李亦園，(2001)，社會及行為科學研究法下冊，台北：東華書局。 19.楊婷婷、林晏州，(1996)，台北市立動物園大鳥籠解說摺頁解說效果之探討，戶外遊憩研究，9(1)，31-56。 20.劉瓊如、李銘輝，(1995)，東北角海岸風景特定區遊客對解說服務需求之研究，觀光研究學報，1(4)，21-38。 21.蔡惠民，(1985)，國家公園解說系統規劃與經營管理之研究，台北：內政部營建署。 22.蕭顯勝、蔡福興、游光昭，(2005)，在行動學習環境中實施科技教育教學活動之初探，生活科技教育月刊，38(6)，40-57。 23.蘇郁翔、盧堅富、楊典浩，(2010)，休閒涉入與解說媒體偏好關係之研究：以台灣賞鯨遊客為例，休閒事業研究，8(1)，50-65。 24.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. 25.Ajzen, I., & Madden, T. J. (1985). Prediction of goal-directed behavior: Attitudes, intentions, and perceived behavioral control. Journal of Experimental Social Psychology, 22, 453-474. 26.Alderson, W. T., & Low, S. P. (1985). Interpretation of Historic Sites. Pennsylvania: Rowman & Littlefield Publishing. 27.Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103, 411-423. 28.Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16, 74-94. 29.Bentler, P. M. (1990). Comparative fit indices in structural models. Psychological Bulletin, 107, 238-246. 30.Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness-of-fit in the analysis of covariance structures. Psychological Bulletin, 88, 588-606. 31.Boomsma, A. (1982). The robustness of LISREL against small sample sizes in factor analysis models. In H. Wold & K. Joreskog (Eds.), Systems under indirect observation, (pp.149-173). New York: Elsevier North-Holland. 32.Boomsma, A., & Hoogland, J. J. (2001). The robustness of LISREL modeling revisited. In R. Cudeck, du Toit Stephen & D. Sorbom (Eds.), Structural equation modeling: Present and future. A festschrift in honor of Karl Joreskog, (pp.139-164). IL: SSI. 33.Chang, C. Y., Sheu, J. P., & Chan, T. W. (2003). Concept and design of Ad Hoc and mobile classrooms. Journal of Computer Assisted Learning, 19, 336-346. 34.Chen, Y. S., Kao, T. C., & Sheu, J. P. (2005). Realizing outdoor independent learning with a butterfly-watching mobile learning system. Journal of Educational Computing Research, 33, 395-417. 35.Cherem, G. J. (1977). The professional interpreter: Agent for an awakening giant. Journal of Interpretation, 2(1), 3-16. 36.Cherem, G. J., & Traweek, D. E. (1977). Visitor employed photography: a tool for interpretive planning on river environments. USDA Forest Service, 28, 236-244. 37.Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. 38.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. 39.DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60-95. 40.Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, In-tention and Behavior: An Introduction to Theory and Research. MA: Addison-Wesley Publishing Company. 41.Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 382-388. 42.Ham, S. H. (1992). Environmental Interpretation: A Practical Guide for People With Big Ideas and Small Budgets. US: Fulcrum. 43.Hoyle, R. H. (1995). The structural equation modeling approach: Basic concepts and fundamental issues. In R. H. Hoyle (Eds.), Structural equation modeling: Concepts, issues and applications, (pp.1-15). Thousand Oaks, CA: sage. 44.Hsi, S. (2003). A Study of user experiences mediated by nomadic web content in a museum. Journal of Computer Assisted Learning, 19, 308-319. 45.Igbaria, M., Parasuraman, S., & Baroudi, J. J. (1997). A motivation model of microcomputer usage. Journal of Management Information Systems, 13(1), 127-143. 46.Joreskog, K. G. (1970). A general method for analysis of covariance structures. Biometrika, 57, 239-251. 47.Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40, 191-204. 48.Light, D. (1995). Visitor’s use of interpretive media at heritage sites. Leisure Studies, 14(2), 132-149. 49.Lin, C. C., & Lu, H. (2000). Towards an understanding of the behavioural intention to use a web site. International Journal of Information Management, 20, 197-208. 50.Ma, Q., & Liu, L. (2004). The technology acceptance model: A meta-analysis of empirical findings. Journal of Organizational and End User Computing, 16(1), 59-72. 51.Marsh, H. W., & Hau, K. T. (1999). Confirmatory factor analysis: Strategies for small sample sizes. In R. H. Hoyle (Eds.), Structural strategies for small sample size, (pp.251-360). Thousand Oaks, CA: sage. 52.Mason, R. O. (1978). Measuring information output: A communication systems approach. Information and Management, 1(5), 219-234. 53.Mathieson, K., Peacock, E., & Chin, W. (2001). Extending the technology acceptance model: The influence of perceived user resources. The Data Base for Advances in Information Systems, 32(3), 86-112. 54.McFarlane, A. (2006). ICT and the curriculum canon responding to and exploring ‘alternative knowledge’. In A. Moore (Eds.), Schooling, society and curriculum, (pp.130-141). London and New York: Routledge. 55.Melone, N. (1990). A theoretical assessment of the user-satisfaction construct in information systems research. Management Sci, 36(1), 76-91. 56.Quinn, C. (2000). MLearning：mobile, wireless and in-your-pocket learning. Line Zine Magazine. Found at: http://www. linezine. com/2.1/features/cqmmwiyp.htm 57.Raykov, T. (2001). Approximate confidence interval for difference in fit to structural equation models. Structural Equation Modeling, 8(3), 458-469. 58.Schumacker, R. E., & Lomax, R. G. (1996). A Beginner’s Guide to Structural Equation Modeling. NJ: Lawrence Erlbaum Associates. 59.Schwab, D. P. (2005). Research Methods for Organizationsl Studies. NJ: Lawrence Erlbaum Associates. 60.Scriven, M. (1991). Evaluation Thesaurus. UK: sage. 61.Shannon, C. E., & Weaver, W. (1949). The Mathematical Theory of Communication. London: University of Illinois Press. 62.Sharpe, G. W. (1976). Interpreting the Environment. New York: John Wiley & Sons. 63.Shepherd, M. (2001). M is for Maybe. Tactix: Training and communication technology in context. Found at: http://www.fastrak-consulting.co.uk/tactix/features/mlearning.htm 64.Szajna, B. (1996). Empirical evaluation of the revised technology acceptance model. Management Science, 42(1), 85-92. 65.Todorova, A., Asakawa, S., & Aikoh, T. (2004). Preference for and attitudes towards street flowers and trees in Sapporo, Japan. Landscape and Urban Planning, 69(4), 403-416. 66.Tilden, F. (1977). Interpreting Our Heritage. Chapel Hill: North Carolina University Press. 67.Venkatesh, V. M., Morris, G., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quart, 27(3), 425-478. 68.Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204. 69.Wixom, B. H., & Todd, P. A. (2005). A Theoretical integration of user satisfaction and technology acceptance. Information System Research, 16(1), 85-102. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/6113 | - |
| dc.description.abstract | 近年來資訊科技日新月異，雲端技術與無線網路的應用日趨成熟，加上智慧型手機與平板電腦逐漸普及，資訊得以更快速地傳遞。有鑒於此，眾多國家風景區紛紛開發在行動裝置中可運行之行動解說導覽系統。行動解說導覽系統有別於以往的傳統解說媒介，以新穎且方便的方式達成解說導覽的目的，也因此對於使用者如何接受並使用新科技系統來吸收資訊的相關研究就變得相當地重要。Davis(1989)提出科技接受模式(Technology Acceptance Model)，提到當使用者接觸一項新科技的時候，可以透過科技接受模式來預測與解釋使用者接受的程度或是不接受的原因。本研究以科技接受模式為基礎，根據Wixom & Todd(2005)之滿意度結合科技接受模式來探討利用資通訊科技(Information and Communication Technology)開發之行動解說導覽系統，其解說成效及系統品質對使用者滿意度、認知、態度及行為意向之影響。本研究以陽明山國家公園行動導覽系統為研究媒介，研究方法為利用平板電腦至陽明山國家公園園區內，請受測者實際操作系統後填寫問卷，以得知受測者之使用感受。調查時間為民國102年4月22日至5月2日為止，共得有效問卷260份，資料分析方法主要以結構方程模式進行路徑分析。研究結果發現，以行動解說導覽系統作為解說媒介具有良好之解說成效，除了能帶給使用者正向的解說體驗，亦能帶動公園的觀光效益；而多數受訪者認為此行動解說導覽系統具有良好之系統品質，它除了是方便的解說媒介之外，亦能快速的讓使用者取得新資訊，且節省了詢問的時間；另外透過路徑分析發現解說成效會正向的影響使用者對資訊內容之滿意度，而系統品質則是會正向的影響使用者對系統方面之滿意度，接著滿意度會進一步正向影響使用者之認知有用性及認知易用性，接著認知有用性及認知易用性會進而正向影響使用者對系統的態度，最後透過認知有用性及態度正向影響到使用者的行為意向。應用資通訊技術開發之行動解說導覽系統為未來發展趨勢，本研究結果可提供給相關單位作為參考依據。 | zh_TW |
| dc.description.abstract | Information technology has developed quickly in recent years, and the application of cloud computing and wireless network technology had been skilled. The more popular smartphones and tablets are, the faster information exchange. Under these circumstances, many national parks have developed interpretation applications for mobile devices. Unlike traditional interpretation media, these applications can provide detail information to visitors in more innovation and more convenient ways. Thus, the way users accept and use this new technology becomes an important issue. Fred Davis (1989) had developed Technology Acceptance Model (TAM), and stated that when users adopt a new technology, researchers can use TAM to predict the level of acceptance and explain the reason why people do not accept. This study is based on Wixom and Todd (2005) research, combines TAM theory and satisfaction in order to explore the interpretation effect and quality of the mobile interpretation system which is developed by Information and Communication Technology (ICT), and how this system influences users’ satisfaction, perception, attitude, and behavior intention. In this study, we use the Yangmingshan National Park interpreting application as research media, and the questionnaires were completed by respondents who have immediately operated the app system in the park on April 22 to May 2, 2013. This research totally collected 260 effective questionnaires, and the data was analyzed by path analysis of structural equation model. According to the results, the experience with interpreting application as the interpretation media received good evaluation from users. This interpreting application not only brings positive experience to user but also creates the economic values of National Park. In addition, this interpreting application has good system quality. It is a convenient interpretation media that not only serving information faster but also saving querying time. The path analysis found that the interpretation effect and quality has effect on users’ satisfaction. Satisfaction then influenced on the perceived usefulness and ease of use. Perceived usefulness and ease of use then influenced the user’s attitude. In the end, attitude and perceived usefulness influenced the user’s intension to operate the system. This study concluded that ICT is the trend of future development, and we expect to provide useful references for related administrations. | en |
| dc.description.provenance | Made available in DSpace on 2021-05-16T16:21:07Z (GMT). No. of bitstreams: 1 ntu-102-R00628302-1.pdf: 1750193 bytes, checksum: e38c76d7e21862b8f23c973b90730092 (MD5) Previous issue date: 2013 | en |
| dc.description.tableofcontents | 口試委員會審定書 i
摘要 v Abstract vii 第一章 緒論 1 第一節 研究動機 1 第二節 研究目的 3 第三節 研究內容及流程 4 第二章 文獻回顧 7 第一節 解說與環境教育 7 第二節 資通訊科技 32 第三節 科技接受模式 38 第三章 研究方法 47 第一節 研究架構內容 47 第二節 研究設計 52 第三節 資料處理與分析計畫 54 第四章 研究結果與討論 65 第一節 受測者基本特性分析 65 第二節 變項評值分析 69 第三節 相關分析 74 第四節 路徑分析與檢定 75 第五節 驗證假設 81 第五章 結論與建議 83 第一節 結論 83 第二節 討論 84 第三節 後續研究建議 89 參考文獻 93 附錄一、問卷 97 | |
| dc.language.iso | zh-TW | |
| dc.title | 解說導覽系統使用行為意向之研究 | zh_TW |
| dc.title | A Study of User Behavior Intention about Interpretive Service System | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 101-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 鄭佳昆,張俊彥,歐聖榮,黃章展 | |
| dc.subject.keyword | 資通訊科技,解說導覽,科技接受模式, | zh_TW |
| dc.subject.keyword | Information and Communication Technology,Interpretive service,Technology Acceptance Model, | en |
| dc.relation.page | 99 | |
| dc.rights.note | 同意授權(全球公開) | |
| dc.date.accepted | 2013-07-30 | |
| dc.contributor.author-college | 生物資源暨農學院 | zh_TW |
| dc.contributor.author-dept | 園藝暨景觀學系 | zh_TW |
| 顯示於系所單位： | 園藝暨景觀學系 | |
文件中的檔案：
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-102-1.pdf | 1.71 MB | Adobe PDF | 檢視/開啟 |
系統中的文件，除了特別指名其著作權條款之外，均受到著作權保護，並且保留所有的權利。