學術產出-學位論文
文章檢視/開啟
書目匯出
-
題名 應用計畫行為理論探討臺灣公立大學研究人員搜尋學術文獻之意圖與行為
Application of the Theory of Planned Behavior (TPB) to Analyze the Intention and Behavior of Searching Scholarly Literature among Taiwan Academics作者 黃鳳媚
Wong, Fung-Mei貢獻者 林巧敏
Lin, Chiao-Min
黃鳳媚
Wong, Fung-Mei關鍵詞 計畫行為理論
書目資料庫
資訊檢索
檢索行為
研究人員
Theory of Planned Behavior,
Bibliographic databases
Information searching
Searching behavior
Researchers日期 2023 上傳時間 2-八月-2023 14:29:28 (UTC+8) 摘要 本研究探討研究人員在資訊檢索中使用書目資料庫的行為。資訊檢索在學術研究中扮演重要角色，瞭解研究人員的檢索行為對於提升資訊檢索效能和資訊服務的品質至關重要。本研究以計劃行為理論（Theory of Planned Behavior）為概念框架，探討影響研究人員意圖和行為的因素，專注於態度、主觀規範和感知行為控制對研究人員檢索行為的影響。研究採用問卷調查方式收集研究人員對書目資料庫使用行為的數據。通過相關分析和層次回歸模型對數據進行統計分析，以探討變量之間的關係。相關分析結果顯示，檢索意圖和行為有明顯的相關性，而態度、主觀規範和感知行為控制對研究人員的檢索意圖具有不同程度的影響，印證計劃行為理論可以用來解釋研究人員的檢索行為。由於相關分析中自變量之間的解釋力相互重疊，從而放大了單一自變量的影響力。本研究運用層次回歸模型對數據進行進一步分析，結果顯示，態度和感知行為控制對檢索行為具有顯著影響力，而主觀規範對檢索行為則沒有。此外，在態度和感知行為控制對檢索行為有直接影響的前題下，意圖對行為並沒有明顯的影響。此發現能補充計劃行為理論在研究人類行為的運用。本研究建議未來研究在資訊檢索行為研究中應結合多種研究方法，包括定量和定性方法，以獲得更全面、具體和可靠的研究結果。此外，未來研究應探索不同族群、文化和語言背景下的檢索行為差異，並考慮新興技術對檢索行為的影響。這將有助於提高資訊檢索效能和資訊服務的品質，同時豐富對檢索行為的理解。
This study investigates the behavior of researchers using bibliographic databases in information searching. Because information searching plays an important role in academic research, understanding researchers` searching behaviors is essential for improving the effectiveness of information searching and the quality of information services. Using the Theory of Planned Behavior as a conceptual framework, this study examines the effects of attitude, subjective norm, and perceived behavioral control on researchers on their intentions and behaviors of using bibliographic databases.A questionnaire survey was used to collect data on researchers` behavior of using bibliographic databases. The relations between variables were analyzed using correlation analysis and hierarchical regression modeling. The results of the correlation analysis indicated that there was a significant correlation between retrieval intention and behavior, and attitude, subjective norms and perceived behavioral control had different degrees of influence on the researchers` retrieval intention, confirming that the Theory of Planned Behavior can be used to explain the researchers` searching behavior.Because independent variables overlap with each other in explaining the dependent variable, the explanatory power of the Pearson coefficient is often exaggerated. Therefore, this study further analyzed the data using hierarchical regression modeling. The results indicated that attitude and perceived behavioral control had a significant influence on behavior, but subjective norm did not. In addition, under the condition that attitudes and perceived behavioral control had a direct effect on behavior, behavior was not significantly determined by intention. This finding supplements the application of planned behavior theory to the study of human behavior.This study suggests that future research should combine multiple research methods, including quantitative and qualitative methods, in the study of information searching behavior in order to obtain more comprehensive, specific, and reliable results. In addition, future studies should explore the differences in searching behavior across ethnic, cultural, and linguistic backgrounds, and also consider the impact of emerging technologies on searching behavior. This will help improve the effectiveness of information searching and the quality of information services, as well as enrich the understanding of information searching behavior.參考文獻 中文文獻行政院 (2019) 。2030雙語國家政策發展藍圖。https://www.ey.gov.tw/Page/448DE008087A1971/b7a931c4-c902-4992-a00c-7d1b87f46cea吳盛、林東清(2007)。以計劃行為理論探討資訊人員的知識分享行為。資訊管理學報，14(2), 75-110。https://doi.org/10.6382/JIM.200704.0075林東清、孫培真、徐景智 (2000)。影響資訊系統使用者抗拒行為之原因:以計劃行為理論為基礎之整合研究。資訊管理研究，2(2)，1-26。國立雲林科技大學教育部 (2022年5月30日)。110 學年度大專校院一覽表。https://ulist.moe.gov.tw/Browse/UniversityList教育部(2021)。高教雙語政策-推動大專校院學生雙語化學習計畫。https://www.edu.tw/News_Content.aspx?n=9E7AC85F1954DDA8&sms=169B8E91BB75571F&s=2BCAF7C42463717F黃品茲 (2011)。應用計劃行為理論探討彰化地區高職學生不道德學習行為意向之研究。國立彰化師範大學商業教育學系碩士論文。賈澤思、菲斯賓 (2016)。對態度的了解與社會行為的預測 (王國川譯注) 。臺北市 : 聯經。(初版)英文文獻Abdullahi, A., Muhammad, A. N., & Amao, M. A. (2021). Awareness and use of search engines for information retrieval by lecturers of universities in Bauchi State. Journal of Humanities and Social Science (IOSR-JHSS) 26(4): 33-40, Doi：10.9790/0837-2604043340Ajzen, I. (1985). From intention to actions: A theory of planned behavior. In: Kuhl, J., Beckmann, J. (Eds.), Action control. SSSP Springer Series in Social Psychology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-69746-3_2Ajzen, I. (1989). Attitude structure and behavior. In A. R. Pratkanis, S. J. Breckler, & A. G. Greenwald (Eds.), Attitude structure and function (pp. 241-274). Hillsdale, N.J.: L. Erlbaum Associates.Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-TAjzen, I. (2011). The theory of planned behavior: Reactions and reflections. Psychology & Health, 26(9), 1113–1127. https://doi.org/10.1080/08870446.2011.613995Ajzen, I., Pratkanis, A. R., Breckler, S. J., & Greenwald, A. G. (1989). Attitude structure and behavior. Attitude Structure and Function, Lawrence Erlbanm Associates, Hillsdale, NJ,241-274Ajzen, I., & Fishbein, M. (1977). Attitude-Behavior Relations: A theoretical analysis and review of empirical research. Psychological Bulletin, 84, 888-918.Ajzen, I., & Fishbein, M. (1980). Understanding Attitudes and Predicting Social BehaviorAjzen, I., Kuhl, J., & Beckman, J. (1985). From intentions to actions: A theory of planned behavior. Action control: From cognition to behaviorChang, C. C., Lin, C. Y., Chen, Y. C., & Chin, Y. C. (2009). Predicting information‐seeking intention in academic digital libraries. Emerald Insight, 27(3), 448–460, https://doi.org/10.1108/02640470910966899Chohda, N., & Gupta, N. (2017). Use pattern and seeking behaviour of students in National Institute of Technology, Jalandhar, India. Journal of Library & Information Technology, 37(5), 372-376, https://doi.org/10.14429/djlit.37.10749Chow, W. S., & Chen, Y. (2009). Intended belief and actual behavior in green computing in Hong Kong, Journal of Computer Information Systems, 50(2), 136-141, https://doi.org/10.1080/08874417.2009.11645392Codina, L. (2007). Search engines for scientific and academic information, Hipertext.net, num. 5. https://arxiu-web.upf.edu/hipertextnet/en/numero-5/motores-busqueda.htmlDezdar, S. (2017). Green information technology adoption: influencing factors and extension of theory of planned behavior, Social Responsibility Journal, 13(2), 292-306Du Buisson, W. & Naidoo, R. (2014). Exploring factors influencing IT workers’ green computing intention at a South African firm, Proceedings of the Southern African Institute for Computer Scientist and Information Technologists Annual Conference 2014 on SAICSIT 2014 Empowered by Technology, 148-156.Eagly, A. H., & Chaiken, S. (1993). The psychology of attitudes. Harcourt Brace Jovanovich College PublishersEagly, A. H., & Chaiken, S. (2007). The advantages of an inclusive definition of attitude. Social Cognition, 25(5), 582–602. https://doi.org/10.1521/soco.2007.25.5.582Garay, L., Font, X., & Corrons, A. (2019). Sustainability-oriented innovation in tourism: An analysis based on the decom-posed theory of planned behavior. Journal of Travel Research, 58(4), 622–636. https://doi.org/10.1177/ 0047287518771215Glanz, K., Rimer, B.K., & Viswanath, K. (2015). Health behavior: Theory, Research, and Practice. (5th ed.). Jossey-BassGusenbauer, M., & Haddaway, N. R. (2020). Which academic search systems are suitable for systematic reviews or meta-analyses? Evaluating retrieval qualities of Google Scholar, PubMed, and 26 other resources. Research synthesis methods, 11(2), 181–217. https://doi.org/10.1002/jrsm.1378Ha, N.M. & Khoa, B.T. (2021). The Google advertising service adoption behavior of enterprise in the digital transformation age. Special Issue on Information Retrieval and Web Search, 18, 153-170, Webology. https://doi.org/10.14704/WEB/ V18SI02/ WEB18064Habiba, U., Yesmin, S. & Akhter, R. (2022). Information behavior of faculty members of NSTU, Public University of Bangladesh. Journal of Library & Information Technology, 42(1), 38-46, https://doi.org/10.14429/djlit.42.1.17177Hair, J., Ringle, C. M., & Sarstedt, M. (2021). PLS-sem: Indeed a silver bullet. March 2011. The Journal of Marketing Theory and Practice, 19(2):139-15. https://doi.org/10.2753/MTP1069-6679190202Hsu, C. H. C., & Huang, S. (2012). An extension of the theory of planned behavior model for tourists. Journal of Hospitality & Tourism Research, 36(3), 390–417. https://doi.org/10.1177/1096348010390817Jamali, H.R. & Asadi, S (2010). Google and the scholar the role of Google in scientists’ information‐seeking behavior, Online Information Review 34(2):282-294, April 2010,DOI:10.1108/14684521011036990Joo, S., Kim, S., & Kim, Youngseek (2017). An exploratory study of health scientists’ data reuse behaviors examining attitudinal, social, and resource factors. Aslib Journal of Information Management, 69(4), 389–407. https://doi.org/10.1108/ AJIM-12-2016-0201Kabashi (2018). Information seeking in a Balkan country: A case study of college students seeking and use of information. [Unpublished doctoral dissertation]. University of North Texas. https://digital.library.unt.edu/ark:/67531/ metadc1404543/?q=Kabashi%2C%20ArtemidaKim, Y. (2018). An empirical study of biological scientists’ article sharing through ResearchGate: Examining attitudinal, normative, and control. Aslib Journal of Information Management, 70(5), pp.458–480. https://doi.org/10.1108/AJIM-05-2018-0126Kling, R., & Callahan, E. (2003). Electronic journals, the Internet, and scholarly communication. Annual Review of Information Science and Technology 38 : 127-177Kraus, S. J. (1995). Attitudes and the prediction of behavior: A meta-analysis of the empirical literature. Personality and Social Psychology Bulletin, 21(1), 58–75. https://doi.org/10.1177/0146167295211007Kumar, S.B.T. & Kumar, G.T. (2013). Search engines and their search strategies: the effective use by Indian academics, Program: electronic library and information systems. 47(4), 437-449. https://doi.org/10.1108/PROG-03-2012-0009Kuppusamy, P., Samy, G. N., Maarop, N., Magalingam, P., Kamaruddin, N., Shanmugam, B., & Perumal, S. (2020). Systematic Literature Review of Information Security Compliance Behaviour Theories. Journal of Physics: Conference Series, 1551 012005. https://doi.org/10.1088/1742-6596/1551/1/ 012005Lu, Y., Zhou, T., & Wang, B. (2009). Exploring Chinese users’ acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory. Computers in Human Behavior, 25(1), 29–39. https://doi.org/10.1016/j.chb.2008.06.002Manning, M. (2009). The effects of subjective norms on behaviour in the theory of planned behaviour: A meta-analysis. British Journal of Social Psychology, 48(4), 649–705. https://doi.org/10.1348/014466608X393136Musa (2014). Determining the internet search engines used by Library science students in Bayero University, Kano. A Dissertation submitted to the Department of Library and Information Sciences, Bayero University Kano EDU/09/LIS/00663Nagel, M.T., Schäfer, S., Zlatkin-Troitschanskaia, O., Schemer, C., Maurer, M., Molerov, D., Schmidt, S., & Brückner, S. (2020). How do university students’ web search behavior, website characteristics, and the interaction of both influence students’ critical online reasoning? Frontilers in Education 5:565062. https://doi.org/10.3389/feduc.2020.565062Ng, S. L. (2019). Predicting multi-family dwelling recycling behaviors using structural equation modelling: A case study of Hong Kong. Resources, Conservation and Recycling, 149, 468–478. https://doi.org/10.1016/j.resconrec.2019.06.007Ng, S. L. (2020). Knowledge–intention–behavior associations and spillovers of domestic and workplace recycling. The Social Science Journal, 57(2), e1–e20. https://doi.org/10.1080/03623319.2020.1735857Ng, S.L. (2021). Would you speak softly in public? An investigation of pro- environmental behavior of Chinese outbound tourists in Hong Kong, Current Issues in Tourism, 24(22), 3239-3255 https://doi.org/10.1080/13683500. 2020.1866507Notani, A. S. (1998). Moderators of perceived behavioral control’s predictiveness in the theory of planned behavior: A meta-analysis. Journal of Consumer Psychology, 7(3), 247–271. https://doi.org/10.1207/s15327663jcp0703_02Orduna-Malea, E., Aytac, S., & Tran, C. Y. (2019). Universities through the eyes of bibliographic databases: a retroactive growth comparison of Google Scholar, Scopus and Web of Science, Scientometrics 121, 433–450 (2019). https://doi.org/10.1007/s11192-019-03208-7Ortega, J. L.(2014). Academic Search Engines: A Quantitative Outlook (1st ed.). Chandos Information Professional Series, Chandos PublishingPark, J., & Ha, S. (2014). Understanding consumer recycling behavior: Combining the theory of planned behavior and the norm activation model. Family and Consumer Sciences Research Journal, 42(3), 278–291. https://doi.org/10.1111/fcsr. 12061Park, S. H., Hsieh, C. M., & Lee, C. K. (2017). Examining Chinese college students’ intention to travel to Japan using the extended theory of planned behavior: Testing destination image and the mediating role of travel constraints. Journal of Travel and Tourism Marketing, 34(1), 113–131. https://doi.org/10.1080/10548408. 2016.1141154QS Top University (2022)a. QS World University Rankings, https://support.qs.com/hc/en-gb/articles/4405955370898-QS-World-University-RankingsQS Top University (2022)b. QS World University Rankings 2023: Top global universities. https://www.topuniversities.com/university-rankings/world-university- rankings/2023QS Top University (2022)c. QS World University Rankings 2022: Top global universities. https://www.topuniversities.com/university-rankings/world-university-rankings/2022Ramaiah, C.K., & Shimray, S.R. (2018). Information Seeking Behaviour of Engineering College Students: A Case Study. Journal of Library & Information Technology, 38(2), 110-116, https://doi.org/10.14429/djlit.38.2.11195Ramzan, M., & Singh, D. (2010). Factors Affecting Librarians’ Attitudes toward IT Application in Libraries. Emerald Insight, 28(2), 334–344. https://doi.org/10.1108/02640471011033675Reddy, B. S., Krishnamurthy, M., & Asundi, A.Y. Information Use, User, User Needs and Seeking Behaviour: A Review. Journal of Library & Information Technology, 38(2), 82-87, https://doi.org/10.14429/djlit.38.2.12098Salim, F., Saigar, B., Armoham, P. K., Gobalakrishna, S., Jap, M. Y. P., & Lim, N. A. A. (2017). Students’ Information-Seeking Intention in Academic Digital Libraries. Handbook of Research on Leveraging Consumer Psychology for Effective Customer Engagement. https://doi.org/10.4018/978-1-5225-0746-8.ch017Shaffer, L. S. (1983). Toward Pepitone’s vision of a normative social psychology: What is a social norm? The Journal of Mind and Behavior, 4(2), 275–293. https://www.jstor.org/stable/pdf/43852975.pdfSivasubramanian, G.S., Gomathi, P., and Sivasubramanian, G., (2019). Awareness and usage of search engines among the students Sri Ramakrishna College of Arts and Science Coimbatore: A study. Library Philosophy and Practice (e-journal). 2191. https://digitalcommons.unl.edu/libphilprac/2191Sniehotta, F. F., Presseau, J., & Araújo-Soares, V. (2014). Time to retire the theory of planned behaviour. Health Psychology Review, 8(1), 1–7. https://doi.org/10.1080/17437199.2013.869710Soroya, S.H., Mahmood, K., Soroya, M.S., Hussain, S., Ilyas, A. (2021). Green computing intent and behavior of Pakistani academic librarians: PLS-SEM analysis. Library Hi Tech 2021, https://doi.org/10.1108/LHT-01-2021-0001Steinerová, J., & Šušol , J. (2005). Library Users in Human Information Behavior. Emerald Insight, 29(2), pp.139–156. https://doi.org/10.1108/14684520510598020.Tabernero, C., Hernández, B., Cuadrado, E., Luque, B., and Pereira, C. R.(2015), A multilevel perspective to explain recycling behaviour in communities. Journal of Environmental Management, 159, 192-201. https://doi.org/10.1016/j.jenvman. 2015.05.024The Higher Education (2022)a. World University Rankings 2023: methodlogy. https://www.timeshighereducation.com/world-university-rankings/world-university-rankings-2023-methodologyThe Higher Education (2022)b. World University Rankings 2023. https://www.timeshighereducation.com/world-university-rankings/2023/world-rankingThe Higher Education (2022)c. World University Rankings 2022. https://www.timeshighereducation.com/world-university-rankings/2022/world-ranking#!/page/0/length/25/locations/TWN/sort_by/rank/sort_order/asc/cols/statsTuraga, R. M. R., Howarth, R. B., & Borsuk, M. E. (2010). Pro-environmental behavior: Rational choice meets moral motiv- ation. Annals of the New York Academy of Sciences, 1185(1), 211–224. https://doi.org/10.1111/j.1749-6632.2009.05163.xUSNews.com (2022)a. How U.S. News Calculated the 2022-2023 Best Global Universities Rankings. https://support.qs.com/hc/en-gb/articles/4405955370898-QS-World-University-RankingsUSNews.com (2022)b. 2022-2023 Best Global Universities Rankings. https://www.usnews.com/education/best-global-universities/search?region=asia &country=taiwanWu, S.I. & Chen, J.Y. (2014), A model of green consumption behavior constructed by the theory of planned behavior, International Journal of Marketing Studies, 6(5), 119-132 描述 碩士
國立政治大學
圖書資訊與檔案學研究所
110155025資料來源 http://thesis.lib.nccu.edu.tw/record/#G0110155025 資料類型 thesis dc.contributor.advisor 林巧敏 zh_TW dc.contributor.advisor Lin, Chiao-Min en_US dc.contributor.author (作者) 黃鳳媚 zh_TW dc.contributor.author (作者) Wong, Fung-Mei en_US dc.creator (作者) 黃鳳媚 zh_TW dc.creator (作者) Wong, Fung-Mei en_US dc.date (日期) 2023 en_US dc.date.accessioned 2-八月-2023 14:29:28 (UTC+8) - dc.date.available 2-八月-2023 14:29:28 (UTC+8) - dc.date.issued (上傳時間) 2-八月-2023 14:29:28 (UTC+8) - dc.identifier (其他 識別碼) G0110155025 en_US dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/146680 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 圖書資訊與檔案學研究所 zh_TW dc.description (描述) 110155025 zh_TW dc.description.abstract (摘要) 本研究探討研究人員在資訊檢索中使用書目資料庫的行為。資訊檢索在學術研究中扮演重要角色，瞭解研究人員的檢索行為對於提升資訊檢索效能和資訊服務的品質至關重要。本研究以計劃行為理論（Theory of Planned Behavior）為概念框架，探討影響研究人員意圖和行為的因素，專注於態度、主觀規範和感知行為控制對研究人員檢索行為的影響。研究採用問卷調查方式收集研究人員對書目資料庫使用行為的數據。通過相關分析和層次回歸模型對數據進行統計分析，以探討變量之間的關係。相關分析結果顯示，檢索意圖和行為有明顯的相關性，而態度、主觀規範和感知行為控制對研究人員的檢索意圖具有不同程度的影響，印證計劃行為理論可以用來解釋研究人員的檢索行為。由於相關分析中自變量之間的解釋力相互重疊，從而放大了單一自變量的影響力。本研究運用層次回歸模型對數據進行進一步分析，結果顯示，態度和感知行為控制對檢索行為具有顯著影響力，而主觀規範對檢索行為則沒有。此外，在態度和感知行為控制對檢索行為有直接影響的前題下，意圖對行為並沒有明顯的影響。此發現能補充計劃行為理論在研究人類行為的運用。本研究建議未來研究在資訊檢索行為研究中應結合多種研究方法，包括定量和定性方法，以獲得更全面、具體和可靠的研究結果。此外，未來研究應探索不同族群、文化和語言背景下的檢索行為差異，並考慮新興技術對檢索行為的影響。這將有助於提高資訊檢索效能和資訊服務的品質，同時豐富對檢索行為的理解。 zh_TW dc.description.abstract (摘要) This study investigates the behavior of researchers using bibliographic databases in information searching. Because information searching plays an important role in academic research, understanding researchers` searching behaviors is essential for improving the effectiveness of information searching and the quality of information services. Using the Theory of Planned Behavior as a conceptual framework, this study examines the effects of attitude, subjective norm, and perceived behavioral control on researchers on their intentions and behaviors of using bibliographic databases.A questionnaire survey was used to collect data on researchers` behavior of using bibliographic databases. The relations between variables were analyzed using correlation analysis and hierarchical regression modeling. The results of the correlation analysis indicated that there was a significant correlation between retrieval intention and behavior, and attitude, subjective norms and perceived behavioral control had different degrees of influence on the researchers` retrieval intention, confirming that the Theory of Planned Behavior can be used to explain the researchers` searching behavior.Because independent variables overlap with each other in explaining the dependent variable, the explanatory power of the Pearson coefficient is often exaggerated. Therefore, this study further analyzed the data using hierarchical regression modeling. The results indicated that attitude and perceived behavioral control had a significant influence on behavior, but subjective norm did not. In addition, under the condition that attitudes and perceived behavioral control had a direct effect on behavior, behavior was not significantly determined by intention. This finding supplements the application of planned behavior theory to the study of human behavior.This study suggests that future research should combine multiple research methods, including quantitative and qualitative methods, in the study of information searching behavior in order to obtain more comprehensive, specific, and reliable results. In addition, future studies should explore the differences in searching behavior across ethnic, cultural, and linguistic backgrounds, and also consider the impact of emerging technologies on searching behavior. This will help improve the effectiveness of information searching and the quality of information services, as well as enrich the understanding of information searching behavior. en_US dc.description.tableofcontents 目次 i圖次 iii表次 v第一章 緒論 1第一節 研究動機 1第二節 研究目的 2第三節 研究問題 3第四節 研究範圍與限制 3第五節 名詞解釋 5第二章 文獻回顧 7第一節 書目資料庫的發展及對學術的影響 7第二節 書目資料庫的資訊尋求行為 11第三節 計劃行為理論及應用 14第三章 研究設計與實施 21第一節 研究架構 21第二節 研究方法 22第三節 研究對象 22第四節 研究工具 25第五節 資料處理與分析 27第六節 研究實施步驟 28第四章 研究結果分析 31第一節 臺灣研究人員使用書目資料庫背景分析 31第二節 書目資料庫使用行為與背景特徵差異 42第三節 應用計劃行為理論分析使用書目資料庫的因素 81第四節 綜合分析與討論 91第五章 結論與建議 95第一節 結論 95第二節 建議 97第三節 後續研究建議 99參考書目 101附錄一 臺灣研究人員對學術書目資料庫的使用行為與意圖調查問卷 109 zh_TW dc.format.extent 6038672 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0110155025 en_US dc.subject (關鍵詞) 計畫行為理論 zh_TW dc.subject (關鍵詞) 書目資料庫 zh_TW dc.subject (關鍵詞) 資訊檢索 zh_TW dc.subject (關鍵詞) 檢索行為 zh_TW dc.subject (關鍵詞) 研究人員 zh_TW dc.subject (關鍵詞) Theory of Planned Behavior, en_US dc.subject (關鍵詞) Bibliographic databases en_US dc.subject (關鍵詞) Information searching en_US dc.subject (關鍵詞) Searching behavior en_US dc.subject (關鍵詞) Researchers en_US dc.title (題名) 應用計畫行為理論探討臺灣公立大學研究人員搜尋學術文獻之意圖與行為 zh_TW dc.title (題名) Application of the Theory of Planned Behavior (TPB) to Analyze the Intention and Behavior of Searching Scholarly Literature among Taiwan Academics en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) 中文文獻行政院 (2019) 。2030雙語國家政策發展藍圖。https://www.ey.gov.tw/Page/448DE008087A1971/b7a931c4-c902-4992-a00c-7d1b87f46cea吳盛、林東清(2007)。以計劃行為理論探討資訊人員的知識分享行為。資訊管理學報，14(2), 75-110。https://doi.org/10.6382/JIM.200704.0075林東清、孫培真、徐景智 (2000)。影響資訊系統使用者抗拒行為之原因:以計劃行為理論為基礎之整合研究。資訊管理研究，2(2)，1-26。國立雲林科技大學教育部 (2022年5月30日)。110 學年度大專校院一覽表。https://ulist.moe.gov.tw/Browse/UniversityList教育部(2021)。高教雙語政策-推動大專校院學生雙語化學習計畫。https://www.edu.tw/News_Content.aspx?n=9E7AC85F1954DDA8&sms=169B8E91BB75571F&s=2BCAF7C42463717F黃品茲 (2011)。應用計劃行為理論探討彰化地區高職學生不道德學習行為意向之研究。國立彰化師範大學商業教育學系碩士論文。賈澤思、菲斯賓 (2016)。對態度的了解與社會行為的預測 (王國川譯注) 。臺北市 : 聯經。(初版)英文文獻Abdullahi, A., Muhammad, A. N., & Amao, M. A. (2021). Awareness and use of search engines for information retrieval by lecturers of universities in Bauchi State. Journal of Humanities and Social Science (IOSR-JHSS) 26(4): 33-40, Doi：10.9790/0837-2604043340Ajzen, I. (1985). From intention to actions: A theory of planned behavior. In: Kuhl, J., Beckmann, J. (Eds.), Action control. SSSP Springer Series in Social Psychology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-69746-3_2Ajzen, I. (1989). Attitude structure and behavior. In A. R. Pratkanis, S. J. Breckler, & A. G. Greenwald (Eds.), Attitude structure and function (pp. 241-274). Hillsdale, N.J.: L. Erlbaum Associates.Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-TAjzen, I. (2011). The theory of planned behavior: Reactions and reflections. Psychology & Health, 26(9), 1113–1127. https://doi.org/10.1080/08870446.2011.613995Ajzen, I., Pratkanis, A. R., Breckler, S. J., & Greenwald, A. G. (1989). Attitude structure and behavior. Attitude Structure and Function, Lawrence Erlbanm Associates, Hillsdale, NJ,241-274Ajzen, I., & Fishbein, M. (1977). Attitude-Behavior Relations: A theoretical analysis and review of empirical research. Psychological Bulletin, 84, 888-918.Ajzen, I., & Fishbein, M. (1980). Understanding Attitudes and Predicting Social BehaviorAjzen, I., Kuhl, J., & Beckman, J. (1985). From intentions to actions: A theory of planned behavior. Action control: From cognition to behaviorChang, C. C., Lin, C. Y., Chen, Y. C., & Chin, Y. C. (2009). Predicting information‐seeking intention in academic digital libraries. Emerald Insight, 27(3), 448–460, https://doi.org/10.1108/02640470910966899Chohda, N., & Gupta, N. (2017). Use pattern and seeking behaviour of students in National Institute of Technology, Jalandhar, India. Journal of Library & Information Technology, 37(5), 372-376, https://doi.org/10.14429/djlit.37.10749Chow, W. S., & Chen, Y. (2009). Intended belief and actual behavior in green computing in Hong Kong, Journal of Computer Information Systems, 50(2), 136-141, https://doi.org/10.1080/08874417.2009.11645392Codina, L. (2007). Search engines for scientific and academic information, Hipertext.net, num. 5. https://arxiu-web.upf.edu/hipertextnet/en/numero-5/motores-busqueda.htmlDezdar, S. (2017). Green information technology adoption: influencing factors and extension of theory of planned behavior, Social Responsibility Journal, 13(2), 292-306Du Buisson, W. & Naidoo, R. (2014). Exploring factors influencing IT workers’ green computing intention at a South African firm, Proceedings of the Southern African Institute for Computer Scientist and Information Technologists Annual Conference 2014 on SAICSIT 2014 Empowered by Technology, 148-156.Eagly, A. H., & Chaiken, S. (1993). The psychology of attitudes. Harcourt Brace Jovanovich College PublishersEagly, A. H., & Chaiken, S. (2007). The advantages of an inclusive definition of attitude. Social Cognition, 25(5), 582–602. https://doi.org/10.1521/soco.2007.25.5.582Garay, L., Font, X., & Corrons, A. (2019). Sustainability-oriented innovation in tourism: An analysis based on the decom-posed theory of planned behavior. Journal of Travel Research, 58(4), 622–636. https://doi.org/10.1177/ 0047287518771215Glanz, K., Rimer, B.K., & Viswanath, K. (2015). Health behavior: Theory, Research, and Practice. (5th ed.). Jossey-BassGusenbauer, M., & Haddaway, N. R. (2020). Which academic search systems are suitable for systematic reviews or meta-analyses? Evaluating retrieval qualities of Google Scholar, PubMed, and 26 other resources. Research synthesis methods, 11(2), 181–217. https://doi.org/10.1002/jrsm.1378Ha, N.M. & Khoa, B.T. (2021). The Google advertising service adoption behavior of enterprise in the digital transformation age. Special Issue on Information Retrieval and Web Search, 18, 153-170, Webology. https://doi.org/10.14704/WEB/ V18SI02/ WEB18064Habiba, U., Yesmin, S. & Akhter, R. (2022). Information behavior of faculty members of NSTU, Public University of Bangladesh. Journal of Library & Information Technology, 42(1), 38-46, https://doi.org/10.14429/djlit.42.1.17177Hair, J., Ringle, C. M., & Sarstedt, M. (2021). PLS-sem: Indeed a silver bullet. March 2011. The Journal of Marketing Theory and Practice, 19(2):139-15. https://doi.org/10.2753/MTP1069-6679190202Hsu, C. H. C., & Huang, S. (2012). An extension of the theory of planned behavior model for tourists. Journal of Hospitality & Tourism Research, 36(3), 390–417. https://doi.org/10.1177/1096348010390817Jamali, H.R. & Asadi, S (2010). Google and the scholar the role of Google in scientists’ information‐seeking behavior, Online Information Review 34(2):282-294, April 2010,DOI:10.1108/14684521011036990Joo, S., Kim, S., & Kim, Youngseek (2017). An exploratory study of health scientists’ data reuse behaviors examining attitudinal, social, and resource factors. Aslib Journal of Information Management, 69(4), 389–407. https://doi.org/10.1108/ AJIM-12-2016-0201Kabashi (2018). Information seeking in a Balkan country: A case study of college students seeking and use of information. [Unpublished doctoral dissertation]. University of North Texas. https://digital.library.unt.edu/ark:/67531/ metadc1404543/?q=Kabashi%2C%20ArtemidaKim, Y. (2018). An empirical study of biological scientists’ article sharing through ResearchGate: Examining attitudinal, normative, and control. Aslib Journal of Information Management, 70(5), pp.458–480. https://doi.org/10.1108/AJIM-05-2018-0126Kling, R., & Callahan, E. (2003). Electronic journals, the Internet, and scholarly communication. Annual Review of Information Science and Technology 38 : 127-177Kraus, S. J. (1995). Attitudes and the prediction of behavior: A meta-analysis of the empirical literature. Personality and Social Psychology Bulletin, 21(1), 58–75. https://doi.org/10.1177/0146167295211007Kumar, S.B.T. & Kumar, G.T. (2013). Search engines and their search strategies: the effective use by Indian academics, Program: electronic library and information systems. 47(4), 437-449. https://doi.org/10.1108/PROG-03-2012-0009Kuppusamy, P., Samy, G. N., Maarop, N., Magalingam, P., Kamaruddin, N., Shanmugam, B., & Perumal, S. (2020). Systematic Literature Review of Information Security Compliance Behaviour Theories. Journal of Physics: Conference Series, 1551 012005. https://doi.org/10.1088/1742-6596/1551/1/ 012005Lu, Y., Zhou, T., & Wang, B. (2009). Exploring Chinese users’ acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory. Computers in Human Behavior, 25(1), 29–39. https://doi.org/10.1016/j.chb.2008.06.002Manning, M. (2009). The effects of subjective norms on behaviour in the theory of planned behaviour: A meta-analysis. British Journal of Social Psychology, 48(4), 649–705. https://doi.org/10.1348/014466608X393136Musa (2014). Determining the internet search engines used by Library science students in Bayero University, Kano. A Dissertation submitted to the Department of Library and Information Sciences, Bayero University Kano EDU/09/LIS/00663Nagel, M.T., Schäfer, S., Zlatkin-Troitschanskaia, O., Schemer, C., Maurer, M., Molerov, D., Schmidt, S., & Brückner, S. (2020). How do university students’ web search behavior, website characteristics, and the interaction of both influence students’ critical online reasoning? Frontilers in Education 5:565062. https://doi.org/10.3389/feduc.2020.565062Ng, S. L. (2019). Predicting multi-family dwelling recycling behaviors using structural equation modelling: A case study of Hong Kong. Resources, Conservation and Recycling, 149, 468–478. https://doi.org/10.1016/j.resconrec.2019.06.007Ng, S. L. (2020). Knowledge–intention–behavior associations and spillovers of domestic and workplace recycling. The Social Science Journal, 57(2), e1–e20. https://doi.org/10.1080/03623319.2020.1735857Ng, S.L. (2021). Would you speak softly in public? An investigation of pro- environmental behavior of Chinese outbound tourists in Hong Kong, Current Issues in Tourism, 24(22), 3239-3255 https://doi.org/10.1080/13683500. 2020.1866507Notani, A. S. (1998). Moderators of perceived behavioral control’s predictiveness in the theory of planned behavior: A meta-analysis. Journal of Consumer Psychology, 7(3), 247–271. https://doi.org/10.1207/s15327663jcp0703_02Orduna-Malea, E., Aytac, S., & Tran, C. Y. (2019). Universities through the eyes of bibliographic databases: a retroactive growth comparison of Google Scholar, Scopus and Web of Science, Scientometrics 121, 433–450 (2019). https://doi.org/10.1007/s11192-019-03208-7Ortega, J. L.(2014). Academic Search Engines: A Quantitative Outlook (1st ed.). Chandos Information Professional Series, Chandos PublishingPark, J., & Ha, S. (2014). Understanding consumer recycling behavior: Combining the theory of planned behavior and the norm activation model. Family and Consumer Sciences Research Journal, 42(3), 278–291. https://doi.org/10.1111/fcsr. 12061Park, S. H., Hsieh, C. M., & Lee, C. K. (2017). Examining Chinese college students’ intention to travel to Japan using the extended theory of planned behavior: Testing destination image and the mediating role of travel constraints. Journal of Travel and Tourism Marketing, 34(1), 113–131. https://doi.org/10.1080/10548408. 2016.1141154QS Top University (2022)a. QS World University Rankings, https://support.qs.com/hc/en-gb/articles/4405955370898-QS-World-University-RankingsQS Top University (2022)b. QS World University Rankings 2023: Top global universities. https://www.topuniversities.com/university-rankings/world-university- rankings/2023QS Top University (2022)c. QS World University Rankings 2022: Top global universities. https://www.topuniversities.com/university-rankings/world-university-rankings/2022Ramaiah, C.K., & Shimray, S.R. (2018). Information Seeking Behaviour of Engineering College Students: A Case Study. Journal of Library & Information Technology, 38(2), 110-116, https://doi.org/10.14429/djlit.38.2.11195Ramzan, M., & Singh, D. (2010). Factors Affecting Librarians’ Attitudes toward IT Application in Libraries. Emerald Insight, 28(2), 334–344. https://doi.org/10.1108/02640471011033675Reddy, B. S., Krishnamurthy, M., & Asundi, A.Y. Information Use, User, User Needs and Seeking Behaviour: A Review. Journal of Library & Information Technology, 38(2), 82-87, https://doi.org/10.14429/djlit.38.2.12098Salim, F., Saigar, B., Armoham, P. K., Gobalakrishna, S., Jap, M. Y. P., & Lim, N. A. A. (2017). Students’ Information-Seeking Intention in Academic Digital Libraries. Handbook of Research on Leveraging Consumer Psychology for Effective Customer Engagement. https://doi.org/10.4018/978-1-5225-0746-8.ch017Shaffer, L. S. (1983). Toward Pepitone’s vision of a normative social psychology: What is a social norm? The Journal of Mind and Behavior, 4(2), 275–293. https://www.jstor.org/stable/pdf/43852975.pdfSivasubramanian, G.S., Gomathi, P., and Sivasubramanian, G., (2019). Awareness and usage of search engines among the students Sri Ramakrishna College of Arts and Science Coimbatore: A study. Library Philosophy and Practice (e-journal). 2191. https://digitalcommons.unl.edu/libphilprac/2191Sniehotta, F. F., Presseau, J., & Araújo-Soares, V. (2014). Time to retire the theory of planned behaviour. Health Psychology Review, 8(1), 1–7. https://doi.org/10.1080/17437199.2013.869710Soroya, S.H., Mahmood, K., Soroya, M.S., Hussain, S., Ilyas, A. (2021). Green computing intent and behavior of Pakistani academic librarians: PLS-SEM analysis. Library Hi Tech 2021, https://doi.org/10.1108/LHT-01-2021-0001Steinerová, J., & Šušol , J. (2005). Library Users in Human Information Behavior. Emerald Insight, 29(2), pp.139–156. https://doi.org/10.1108/14684520510598020.Tabernero, C., Hernández, B., Cuadrado, E., Luque, B., and Pereira, C. R.(2015), A multilevel perspective to explain recycling behaviour in communities. Journal of Environmental Management, 159, 192-201. https://doi.org/10.1016/j.jenvman. 2015.05.024The Higher Education (2022)a. World University Rankings 2023: methodlogy. https://www.timeshighereducation.com/world-university-rankings/world-university-rankings-2023-methodologyThe Higher Education (2022)b. World University Rankings 2023. https://www.timeshighereducation.com/world-university-rankings/2023/world-rankingThe Higher Education (2022)c. World University Rankings 2022. https://www.timeshighereducation.com/world-university-rankings/2022/world-ranking#!/page/0/length/25/locations/TWN/sort_by/rank/sort_order/asc/cols/statsTuraga, R. M. R., Howarth, R. B., & Borsuk, M. E. (2010). Pro-environmental behavior: Rational choice meets moral motiv- ation. Annals of the New York Academy of Sciences, 1185(1), 211–224. https://doi.org/10.1111/j.1749-6632.2009.05163.xUSNews.com (2022)a. How U.S. News Calculated the 2022-2023 Best Global Universities Rankings. https://support.qs.com/hc/en-gb/articles/4405955370898-QS-World-University-RankingsUSNews.com (2022)b. 2022-2023 Best Global Universities Rankings. https://www.usnews.com/education/best-global-universities/search?region=asia &country=taiwanWu, S.I. & Chen, J.Y. (2014), A model of green consumption behavior constructed by the theory of planned behavior, International Journal of Marketing Studies, 6(5), 119-132 zh_TW
