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題名 會展廠商之創新技術持續使用意願研究
Research on the continuance intention of companies attending exhibitions to use innovative technology
作者 陳奕君
貢獻者 洪叔民
陳奕君
關鍵詞 持續使用意願
資訊品質
系統品質
使用者滿意度
資訊系統成功模型
個人創新特質
continuance intention
information quality
system quality
user satisfaction
IS success model
personal innovativeness
日期 2011
上傳時間 30-十月-2012 10:39:13 (UTC+8)
摘要 本研究以針對B2B資訊系統設計之資訊系統成功模型(IS Success Model)作為假設架構，探討使用者滿意度與持續使用意願間的關係，並加入個人創新特質做為影響持續使用意願之假設，在研究架構中，分別探討資訊品質與系統品質與使用者滿意度的關係，以及使用者滿意度與個人創新特質分別對持續使用意願的關係。
本研究透過問卷法抽樣進行資料蒐集，選擇2010台北國際電子產業科技展之參展廠商作為研究對象，在回顧大量文獻與研究架構，並且排除無效問項後，進行問卷調查與分析，總共回收117份有效問卷，以PLS(Partial Least Squares)法進行分析後，得到以下結論：
使用者對於資訊系統的滿意度與系統品質及資訊品質呈現正相關，當資訊品質越高，也就是資訊系統產出的資訊之品質越好時；使用者滿意度會越高；當系統品質越高時，也就是資訊系統本身的特性越好時，使用者滿意度會越高。本研究更進一步發現，資訊系統持續使用意願受到使用者滿意度及個人創新特質影響，使用者滿意度與持續使用意願有正相關，滿意度越高時，持續使用的意願會越高；個人創新特質與持續使用意願也呈現正相關，當使用者之個人創新特質越強烈時，持續使用資訊系統的意願會越高。
This research, based on the IS Success Model proposed by DeLone and McLean(1992), the B2B information system regarding the relationship between user satisfaction and continuance usage. Personal innovativeness was added to test its relationship with continuance usage. Within the hypothesized framework, the impacts of latent variables in system quality and information quality on user satisfaction are examined and tested, respectively.
The research is conducted through sampling by a survey from companies attending the 2010 Taipei International Electronics Show. Of 121 samples collected, 117 are effective. By analyzing the samples with the PLS (Partial Least Squares) method, the research concluded the following:
User satisfaction is positively influenced by system quality and information quality, which represents the characteristics of the information system itself and the form of information produced by the information system respectively. User satisfaction, together with personal innovativeness of the users, positively influence the continuance intentions to use the information systems.
參考文獻 中文文獻：
1. 溫世仁文教基金會網站。http://www.saylingwen.org.tw/dispPageBox/SWFHP.aspx?ddsPageID=ROOTSWFHOME
2. 潘瑛如 (2010)。部分最小平方路徑法在教育研究上的應用。教育人力與專業發展雙月刊。27 (5)，99-100。

英文文獻：
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描述 碩士
國立政治大學
企業管理研究所
99355036
100
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0099355036
資料類型 thesis
dc.contributor.advisor 洪叔民zh_TW
dc.contributor.author (作者) 陳奕君zh_TW
dc.creator (作者) 陳奕君zh_TW
dc.date (日期) 2011en_US
dc.date.accessioned 30-十月-2012 10:39:13 (UTC+8)-
dc.date.available 30-十月-2012 10:39:13 (UTC+8)-
dc.date.issued (上傳時間) 30-十月-2012 10:39:13 (UTC+8)-
dc.identifier (其他 識別碼) G0099355036en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/54288-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 企業管理研究所zh_TW
dc.description (描述) 99355036zh_TW
dc.description (描述) 100zh_TW
dc.description.abstract (摘要) 本研究以針對B2B資訊系統設計之資訊系統成功模型(IS Success Model)作為假設架構，探討使用者滿意度與持續使用意願間的關係，並加入個人創新特質做為影響持續使用意願之假設，在研究架構中，分別探討資訊品質與系統品質與使用者滿意度的關係，以及使用者滿意度與個人創新特質分別對持續使用意願的關係。
本研究透過問卷法抽樣進行資料蒐集，選擇2010台北國際電子產業科技展之參展廠商作為研究對象，在回顧大量文獻與研究架構，並且排除無效問項後，進行問卷調查與分析，總共回收117份有效問卷，以PLS(Partial Least Squares)法進行分析後，得到以下結論：
使用者對於資訊系統的滿意度與系統品質及資訊品質呈現正相關，當資訊品質越高，也就是資訊系統產出的資訊之品質越好時；使用者滿意度會越高；當系統品質越高時，也就是資訊系統本身的特性越好時，使用者滿意度會越高。本研究更進一步發現，資訊系統持續使用意願受到使用者滿意度及個人創新特質影響，使用者滿意度與持續使用意願有正相關，滿意度越高時，持續使用的意願會越高；個人創新特質與持續使用意願也呈現正相關，當使用者之個人創新特質越強烈時，持續使用資訊系統的意願會越高。		zh_TW
dc.description.abstract (摘要) This research, based on the IS Success Model proposed by DeLone and McLean(1992), the B2B information system regarding the relationship between user satisfaction and continuance usage. Personal innovativeness was added to test its relationship with continuance usage. Within the hypothesized framework, the impacts of latent variables in system quality and information quality on user satisfaction are examined and tested, respectively.
The research is conducted through sampling by a survey from companies attending the 2010 Taipei International Electronics Show. Of 121 samples collected, 117 are effective. By analyzing the samples with the PLS (Partial Least Squares) method, the research concluded the following:
User satisfaction is positively influenced by system quality and information quality, which represents the characteristics of the information system itself and the form of information produced by the information system respectively. User satisfaction, together with personal innovativeness of the users, positively influence the continuance intentions to use the information systems.		en_US
dc.description.tableofcontents 第一章、緒論 1
第一節、研究背景與動機 1
第二節、研究流程 8
第貳章、文獻探討 9
第一節、資訊系統成功模型(IS Success Model) 9
第二節、個人創新特質 18
第三節、資訊系統持續使用模型 24
第參章、研究架構與方法 28
第一節、研究架構 28
第二節、研究變數與假說 30
第三節、變數衡量與問卷設計 33
第肆章、研究結果與分析 50
第一節、研究發現 50
第二節、研究分析 58
第伍章、結論與建議 60
第一節、研究結論 60
第二節、實務建議 62
第三節、研究貢獻 68
第四節、研究限制與未來研究建議 69
附錄 71
參考文獻 71
研究問卷 80		zh_TW
dc.language.iso en_US-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0099355036en_US
dc.subject (關鍵詞) 持續使用意願zh_TW
dc.subject (關鍵詞) 資訊品質zh_TW
dc.subject (關鍵詞) 系統品質zh_TW
dc.subject (關鍵詞) 使用者滿意度zh_TW
dc.subject (關鍵詞) 資訊系統成功模型zh_TW
dc.subject (關鍵詞) 個人創新特質zh_TW
dc.subject (關鍵詞) continuance intentionen_US
dc.subject (關鍵詞) information qualityen_US
dc.subject (關鍵詞) system qualityen_US
dc.subject (關鍵詞) user satisfactionen_US
dc.subject (關鍵詞) IS success modelen_US
dc.subject (關鍵詞) personal innovativenessen_US
dc.title (題名) 會展廠商之創新技術持續使用意願研究zh_TW
dc.title (題名) Research on the continuance intention of companies attending exhibitions to use innovative technologyen_US
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) 中文文獻：
1. 溫世仁文教基金會網站。http://www.saylingwen.org.tw/dispPageBox/SWFHP.aspx?ddsPageID=ROOTSWFHOME
2. 潘瑛如 (2010)。部分最小平方路徑法在教育研究上的應用。教育人力與專業發展雙月刊。27 (5)，99-100。

英文文獻：
1. Agarwal, R., and Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9(2), 204–215.
2. Agarwal, R., and Karahanna, E. (2000). Time flies when you’re having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24(4), 665-694.
3. Alloway, R. M. (1980). Defining success for data processing: A practical approach to strategic planning for the DP department. CISR Working Paper No. 52, Center for Information Systems Research, Massachusetts Institute of Technology.
4. Altman, E. I. (1968). Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. The Journal of Finance, 23(4), 589-609.
5. Anderson, T. W., and Rubin, H. (1956). Statistical inference in factor analysis. In J. Neyman (Ed.). Proceedings of the third Berkeley symposium for mathematical statistics and probability, 5, 111-150. Berkeley: University of California Press.
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