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| Title: | 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 |
| Authors: | 黃鳳媚
Wong, Fung-Mei |
| Contributors: | 林巧敏
Lin, Chiao-Min
黃鳳媚
Wong, Fung-Mei |
| Keywords: | 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 |
| Date: | 2023 |
| Issue Date: | 2023-08-02 14:29:28 (UTC+8) |
| Abstract: | 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. |
| Reference: | 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：10.9790/0837-2604043340
Ajzen, 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_2
Ajzen, 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-T
Ajzen, I. (2011). The theory of planned behavior: Reactions and reflections. Psychology & Health, 26(9), 1113–1127. https://doi.org/10.1080/08870446.2011.613995
Ajzen, I., Pratkanis, A. R., Breckler, S. J., & Greenwald, A. G. (1989). Attitude structure and behavior. Attitude Structure and Function, Lawrence Erlbanm Associates, Hillsdale, NJ,241-274
Ajzen, 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 Behavior
Ajzen, I., Kuhl, J., & Beckman, J. (1985). From intentions to actions: A theory of planned behavior. Action control: From cognition to behavior
Chang, 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/10.1108/02640470910966899
Chohda, 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.37.10749
Chow, 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/10.1080/08874417.2009.11645392
Codina, L. (2007). Search engines for scientific and academic information, Hipertext.net, num. 5. https://arxiu-web.upf.edu/hipertextnet/en/numero-5/motores-busqueda.html
Dezdar, S. (2017). Green information technology adoption: influencing factors and extension of theory of planned behavior, Social Responsibility Journal, 13(2), 292-306
Du 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 Publishers
Eagly, 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.2007.25.5.582
Garay, 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/ 0047287518771215
Glanz, K., Rimer, B.K., & Viswanath, K. (2015). Health behavior: Theory, Research, and Practice. (5th ed.). Jossey-Bass
Gusenbauer, 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.1378
Ha, 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/ WEB18064
Habiba, 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.42.1.17177
Hair, 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/MTP1069-6679190202
Hsu, 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/10.1177/1096348010390817
Jamali, 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:10.1108/14684521011036990
Joo, 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-12-2016-0201
Kabashi (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%20Artemida
Kim, 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-05-2018-0126
Kling, R., & Callahan, E. (2003). Electronic journals, the Internet, and scholarly communication. Annual Review of Information Science and Technology 38 : 127-177
Kraus, 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/10.1177/0146167295211007
Kumar, 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-03-2012-0009
Kuppusamy, 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/ 012005
Lu, 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.2008.06.002
Manning, 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/10.1348/014466608X393136
Musa (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/00663
Nagel, 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.2020.565062
Ng, 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.2019.06.007
Ng, 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/10.1080/03623319.2020.1735857
Ng, 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. 2020.1866507
Notani, 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_02
Orduna-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/s11192-019-03208-7
Ortega, J. L.(2014). Academic Search Engines: A Quantitative Outlook (1st ed.). Chandos Information Professional Series, Chandos Publishing
Park, 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. 12061
Park, 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. 2016.1141154
QS Top University (2022)a. QS World University Rankings, https://support.qs.com/hc/en-gb/articles/4405955370898-QS-World-University-Rankings
QS Top University (2022)b. QS World University Rankings 2023: Top global universities. https://www.topuniversities.com/university-rankings/world-university- rankings/2023
QS Top University (2022)c. QS World University Rankings 2022: Top global universities. https://www.topuniversities.com/university-rankings/world-university-rankings/2022
Ramaiah, 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.38.2.11195
Ramzan, M., & Singh, D. (2010). Factors Affecting Librarians’ Attitudes toward IT Application in Libraries. Emerald Insight, 28(2), 334–344. https://doi.org/10.1108/02640471011033675
Reddy, 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.38.2.12098
Salim, 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.ch017
Shaffer, 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.pdf
Sivasubramanian, 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/2191
Sniehotta, 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/10.1080/17437199.2013.869710
Soroya, 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-01-2021-0001
Steinerová, 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. 2015.05.024
The Higher Education (2022)a. World University Rankings 2023: methodlogy. https://www.timeshighereducation.com/world-university-rankings/world-university-rankings-2023-methodology
The Higher Education (2022)b. World University Rankings 2023. https://www.timeshighereducation.com/world-university-rankings/2023/world-ranking
The 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/stats
Turaga, 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.x
USNews.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-Rankings
USNews.com (2022)b. 2022-2023 Best Global Universities Rankings. https://www.usnews.com/education/best-global-universities/search?region=asia &country=taiwan
Wu, 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 |
| Description: | 碩士
國立政治大學
圖書資訊與檔案學研究所
110155025 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0110155025 |
| Data Type: | thesis |
| Appears in Collections: | [圖書資訊與檔案學研究所] 學位論文
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