This study examines the database search behaviors of individuals, focusing on gender differences and the impact of planning habits on information retrieval. Data were collected from a survey of 198 respondents, categorized by their discipline, schooling background, internet usage, and information retrieval preferences. Key findings indicate that females are more likely to plan their searches in advance and prefer structured methods of information retrieval, such as using library portals and leading university websites. Males, however, tend to use web search engines and self-archiving methods more frequently. This analysis provides valuable insights for educational institutions and libraries to optimize their resources and services based on user behavior patterns.
References
[1]
Hargittai, E. (2001) Second-Level Digital Divide: Mapping Differences in People’s Online Skills. arXiv: cs/0109068. https://doi.org/10.48550/arXiv.cs/0109068
[2]
van Deursen, A.J. and van Dijk, J.A. (2013) The Digital Divide Shifts to Differences in Usage. New Media & Society, 16, 507-526. https://doi.org/10.1177/1461444813487959
[3]
Jackson, L.A., Ervin, K.S., Gardner, P.D. and Schmitt, N. (2001) Gender and the Internet: Women Communicating and Men Searching. Sex Roles, 44, 363-379. https://doi.org/10.1023/a:1010937901821
[4]
Ayyanar, K. and Thirunavukkarasu, A. (2019) Information Literacy Skills of Alagappa Chettiar Government College of Engineering & Technology Students in Karaikudi, Tamilnadu: A Case Study. Library Philosophy and Practice (e-Journal), Article No. 2640.
[5]
Bates, M.J. (1979) Information Search Tactics. Journal of the American Society for Information Science, 30, 205-214. https://doi.org/10.1002/asi.4630300406
[6]
Bilal, D. (2000) Children’s Use of the Yahooligans! Web Search Engine: I. Cognitive, Physical, and Affective Behaviors on Fact-Based Search Tasks. Journal of the American Society for Information Science, 51, 646-665. https://doi.org/10.1002/(sici)1097-4571(2000)51:7<646::aid-asi7>3.0.co;2-a
[7]
Fidel, R., Davies, R.K., Douglass, M.H., Holder, J.K., Hopkins, C.J., Kushner, E.J., et al. (1999) A Visit to the Information Mall: Web Searching Behavior of High School Students. Journal of the American Society for Information Science, 50, 24-37. https://doi.org/10.1002/(sici)1097-4571(1999)50:1<24::aid-asi5>3.0.co;2-w
[8]
Head, A.J. and Eisenberg, M.B. (2011) How College Students Use the Web to Conduct Everyday Life Research. First Monday, 16. https://doi.org/10.5210/fm.v16i4.3484
[9]
Leeder, C. and Shah, C. (2016) Practicing Critical Evaluation of Online Sources Improves Student Search Behavior. The Journal of Academic Librarianship, 42, 459-468. https://doi.org/10.1016/j.acalib.2016.04.001
[10]
Tsai, M., Liang, J., Hou, H. and Tsai, C. (2012) University Students’ Online Information Searching Strategies in Different Search Contexts. Australasian Journal of Educational Technology, 28, 881-895. https://doi.org/10.14742/ajet.822
[11]
Eshet, Y. (2004) Digital Literacy: A Conceptual Framework for Survival Skills in the Digital Era. Journal of Educational Multimedia and Hypermedia, 13, 93-106.
[12]
Chu, S.K. and Law, N. (2007) Development of Information Search Expertise: Postgraduates’ Knowledge of Searching Skills. Portal: Libraries and the Academy, 7, 295-316. https://doi.org/10.1353/pla.2007.0028
[13]
Catalano, A. (2013) Patterns of Graduate Students’ Information Seeking Behavior: A Meta‐synthesis of the Literature. Journal of Documentation, 69, 243-274. https://doi.org/10.1108/00220411311300066
[14]
Motamedi, F., Khanjani, N., Talebian, A., Behzadifard, S. and Bakhtyari, F. (2019) Rate of Agreement between Database Users’ and Authors’ Keywords in SID and Magiran Databases and Its Effect on Information Retrieval. Open Access Library Journal, 6, 1-16. https://doi.org/10.4236/oalib.1105330
[15]
Su, W. and Sun, Y. (2020) Research on the Library Users’ Information Retrieval Behaviour: From a Bibliometric Perspective. Open Access Library Journal, 7, 1-23. https://doi.org/10.4236/oalib.1106460
[16]
Warwick, C., Rimmer, J., Blandford, A., Gow, J. and Buchanan, G. (2009) Cognitive Economy and Satisficing in Information Seeking: A Longitudinal Study of Undergraduate Information Behavior. Journal of the American Society for Information Science and Technology, 60, 2402-2415. https://doi.org/10.1002/asi.21179
[17]
Conway, K. (2011) How Prepared Are Students for Postgraduate Study? A Comparison of the Information Literacy Skills of Commencing Undergraduate and Postgraduate Information Studies Students at Curtin University. Australian Academic & Research Libraries, 42, 121-135. https://doi.org/10.1080/00048623.2011.10722218
[18]
Hersh, W. (2020) Information Retrieval: A Biomedical and Health Perspective. Sprin-ger.
[19]
Savolainen, R. (2018) Pioneering Models for Information Interaction in the Context of Information Seeking and Retrieval. Journal of Documentation, 74, 966-986. https://doi.org/10.1108/jd-11-2017-0154
[20]
Chen, J., Chen, H. and Li, Y. (2023) Transitions in Daily Search Tactics: During the Cross-App Interaction Search Process. Information Technology & People, 37, 1379-1402. https://doi.org/10.1108/itp-10-2022-0814
[21]
Tariq, M., Rehman, S.U., Mahmood, K. and Mustafa, G. (2018) Online Information Searching Skills of Business Students. Pakistan Journal of Information Management and Libraries, 20, 39-59. https://doi.org/10.47657/2018201221
[22]
Hyman, H., Sincich, T., Will, R., Agrawal, M., Padmanabhan, B. and Fridy, W. (2015) A Process Model for Information Retrieval Context Learning and Knowledge Discovery. Artificial Intelligence and Law, 23, 103-132. https://doi.org/10.1007/s10506-015-9165-y
[23]
Yuan, X. and Belkin, N.J. (2010) Evaluating an Integrated System Supporting Multiple Information-Seeking Strategies. Journal of the American Society for Information Science and Technology, 61, 1987-2010. https://doi.org/10.1002/asi.21352
[24]
James, N.T. and Kannan, R. (2017) A Survey on Information Retrieval Models, Techniques and Applications. International Journal of Advanced Research in Computer Science and Software Engineering, 7, 16-19. https://doi.org/10.23956/ijarcsse.v7i7.90
[25]
Kolomiyets, O. and Moens, M. (2011) A Survey on Question Answering Technology from an Information Retrieval Perspective. Information Sciences, 181, 5412-5434. https://doi.org/10.1016/j.ins.2011.07.047
[26]
Bouadjenek, M.R., Hacid, H. and Bouzeghoub, M. (2016) Social Networks and Infor-mation Retrieval, How Are They Converging? A Survey, a Taxonomy and an Analysis of Social Information Retrieval Approaches and Platforms. Information Systems, 56, 1-18. https://doi.org/10.1016/j.is.2015.07.008
[27]
Ruambo, F.A. and Nicholaus, M.R. (2019). Towards Enhancing Information Retrieval Systems: A Brief Survey of Strategies and Challenges. 2019 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), Dublin, 28-30 October 2019, 1-8. https://doi.org/10.1109/icumt48472.2019.8970954
[28]
Gao, J., Xiong, C. and Bennett, P. (2020). Recent Advances in Conversational Information Retrieval. Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 25-30 July 2020, 2421-2424. https://doi.org/10.1145/3397271.3401418
[29]
Liu, J., Kong, X., Zhou, X., Wang, L., Zhang, D., Lee, I., et al. (2019) Data Mining and Information Retrieval in the 21st Century: A Bibliographic Review. Computer Science Review, 34, Article ID: 100193. https://doi.org/10.1016/j.cosrev.2019.100193
[30]
Ahmad, W. and Ali, R. (2016). Information Retrieval from Social Networks: A Survey. 2016 3rd International Conference on Recent Advances in Information Technology (RAIT), Dhanbad, 3-5 March 2016, 631-635. https://doi.org/10.1109/rait.2016.7507972
[31]
Sharma, M. and Morwal, S. (2015) A Survey on Cross Language Information Retrieval. International Journal of Advanced Research in Computer and Communication Engineering, 4, 384-387. https://doi.org/10.17148/ijarcce.2015.4287
[32]
Dwivedi, S.K. and Chandra, G. (2016) A Survey on Cross Language Information Retrieval. International Journal on Cybernetics & Informatics, 5, 127-142. https://doi.org/10.5121/ijci.2016.5113
[33]
Ghorab, M.R., Zhou, D., O’Connor, A. and Wade, V. (2012) Personalised Information Retrieval: Survey and Classification. User Modeling and User-Adapted Interaction, 23, 381-443. https://doi.org/10.1007/s11257-012-9124-1
[34]
Sharma, A. (2013) Intelligent Information Retrieval System: A Survey. Advance in Electronic and Electric Engineering, 3, 2231-1297.
[35]
Riloff, E. and Hollaar, L. (1996) Text Databases and Information Retrieval. ACM Computing Surveys, 28, 133-135. https://doi.org/10.1145/234313.234371
[36]
Tao, C., Feng, J., Yan, R., Wu, W. and Jiang, D. (2021). A Survey on Response Selection for Retrieval-Based Dialogues. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, Montreal, 19-27 August 2021, 4619-4626. https://doi.org/10.24963/ijcai.2021/627
[37]
Patel, V., Hiran, D. and Dangarwala, K. (2024) Recent Trends of Information Retrieval System: Review Based on IR Models and Applications. Lecture Notes in Networks and Systems, 873, 619-629. https://doi.org/10.1007/978-981-99-9442-7_51
[38]
Fan, Y., Xie, X., Cai, Y., Chen, J., Ma, X., Li, X., et al. (2022) Pre-Training Methods in Information Retrieval. Foundations and Trends®in Information Retrieval, 16, 178-317. https://doi.org/10.1561/1500000100
[39]
Bawden, D. and Robinson, L. (2008) The Dark Side of Information: Overload, Anxiety and Other Paradoxes and Pathologies. Journal of Information Science, 35, 180-191. https://doi.org/10.1177/0165551508095781
