

徐芳
競爭情報與危機預警、用戶體驗、交互設計、循環經濟、科技政策等。
個性化簽名
- 姓名:徐芳
- 目前身份:
- 擔任導師情況:
- 學位:
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學術頭銜:
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學科領域:
圖書館、情報與文獻學
- 研究興趣:競爭情報與危機預警、用戶體驗、交互設計、循環經濟、科技政策等。
徐芳,男,1980年生,湖南岳陽人,蘇州大學社會學院檔案與電子政務系講師,軟件設計師,博士畢業于南開大學商學院情報學專業。
研究興趣:
競爭情報與危機預警、用戶體驗、交互設計、循環經濟、科技政策等。
社會兼職:
《Information & management》(SCI)、《中國科技論壇》(CSSCI)、《現代情報》同行評審。
科研方面:
主持教育部人文社科項目“數字圖書館用戶交互模型與服務改進研究”、蘇州大學校級青年后期資助項目“用戶體驗、交互設計與IA理論創新:理論模型與實證分析”;參與過國家自然科學基金項目“基于戰爭游戲法的企業競爭情報作戰室模式設計與運行機制”、國家社科基金重點項目“當代國際情報學理論進展與中國情報學的理論創新”,國家社科基金一般項目“情報分析中的個體認知偏差及其干預策略研究”、“全球背景下知識流程外包與中國知識型服務業發展戰略研究”等;參編著作5部。在《中國圖書館學報》、《情報理論與實踐》等期刊上已發表學術論文60多篇,其中人大復印資料全文收錄11篇。
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Xu Fang, Jia Tina Du
Computers in Human Behavior,2018,83(6):64-72
2018年06月10日
Users' loyalty to digital libraries is declining. There are quite a few studies on user satisfaction in digital libraries. However, the affinity theory and the loyalty theory are rarely applied to study digital library use.The purpose of this study is to integrate the information system success theory, Technology Acceptance Model, and affinity theory to identify the factors that may affect user satisfaction and user loyalty to digital libraries. A total of 426 valid survey questionnaires were collected. The structural equation modeling was employed to test the proposed research model and hypotheses. The results indicated that, instead of information quality, system and service quality significantly affected perceived ease of use, perceived usefulness and digital libraries (DLs)’ affinity. Both perceived ease of use and DLs' affinity impacted on perceived usefulness. Moreover, perceived usefulness and DLs' affinity had significant effects on user satisfaction, thereby affecting user loyalty. We also found that user differences, including age, gender, and educational level, significantly affected DLs’ affinity, which further influenced user satisfaction and loyalty. Implications for librarians and service providers to improve the quality of digital libraries are provided.
Digital libraries', quality TAM Information system success theory Affinity theory User satisfaction U
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【期刊論文】Study on Applying Multi-level Fuzzy Evaluation Method to Library Pre-warning Index System
徐芳
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-1年11月30日
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