Browse > Article

Online Searching Behavior of Social Science Researchers' in IR Interfaces of E-journal Database Systems: A Study on JMI, JNU, and DU  

Kumar, Shailendra (Department of Library and Information Science University of Delhi)
Rai, Namrata (Department of Library and Information Science University of Delhi)
Publication Information
Journal of Information Science Theory and Practice / v.1, no.4, 2013 , pp. 48-66 More about this Journal
The aim of this study is to examine the user's online searching behavior in IR interfaces of e-journal database systems. The study is purely based on survey methods and tries to analyse the online searching behavior of respondents of social science disciplines who were doing research in three target central universities of Delhi (i.e. DU, JMI, and JNU). For measuring the responses of the respondents in IR interfaces of e-journal database systems, a total of 396 questionnaires were distributed among the students and out of all, 305 responses were used for the study. The findings of the study reveal that most of the students were not using all the facilities offered in IR interfaces of e-journal database systems for their retrieval process and also encourages menu based searches rather than command based searching.
e-journal database systems; IR interface; retrieval features; user study; online searching behavior; browsing;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Espelt, Constanca (1998). Improving subject retrieval: User-friendly interfaces and effectiveness, Retrieved November 5, 2012 from
2 Feuer, A., Savev, S. & Aslam, J. A. (2009). Implementing and evaluating Phrasal Query suggestion for Proximity Search, Information Systems, 34, 711-723.   DOI   ScienceOn
3 Frants, V. I., Shapiro, J., Taksa, I. & Voiskunskii, V. G. (1999). Boolean Search: Current state and perspectives, Journal of the American Society for Information Science, 50(1), 86-95.   DOI
4 Hildreth, Charles R. (1997). The use and understanding of Keyword Searching in a university online catalog, Information Technology Libraries, 16(6).
5 Kostoff, R. N. (2010). Expanded information retrieval using full-text searching, Journal of Information Science, 36(1), 104-13.   DOI   ScienceOn
6 Kristensen, J. (1993). Expanding End- Users' query statements for Free Text Searching with a searchaid Thesaurus, Information Processing and Management, 29(1), 733-44.   DOI   ScienceOn
7 Larson, R., (1991). The Decline of Subject Searching: Long-Term Trends and Patterns of Index use in an Online Catalog, Journal of the American Society for Information Science, 42(3), 197-215.   DOI
8 Lin, J. (2009). Is Searching Full text more effective than searching abstracts? BMC Bioinformatics, 1-15. Retrieved on September 11, 2010 from http://www
9 Martzoukou, K., (2008). Students' Attitudes towards web search engines- increasing appreciation of sophisticated search strategies. Libri, 58, 182-201.
10 Weare, W. H. (1998). Find It on the Web using the Search concepts you already know, Library Media Connection, 56-58. Retrieved on September 12, 2010. From
11 Wolfram, D., (2000). A Query-Level Examination of End-User Searching Behaviour on the Excite Search Engine,Milwaukee: University of Wisconsin.
12 Xie, H. (2003). Supporting ease-of-use and user control: desired features and structure of Web-based online IR systems, Information Processing and Management, 39(6), 899-922.   DOI   ScienceOn
13 Xie, H. & Cool, C. (2000). Ease of use versus user control: An evaluation of Web and non-Web interfaces of online databases, Online Information Review, 24(2), 102-15.   DOI   ScienceOn
14 Beall, J. (2008). The weaknesses of Full- Text Searching, Journal of Academic Librarianship, 34 (5), 438-444.   DOI   ScienceOn
15 Bates, M. J. (1986). Subject access in online catalogs: A design model, Journal of American Society for Information Science, 37(6), 357-76.   DOI
16 Bates, M. J. (1998). Indexing and access for digital libraries and the internet: Human, database and domain factors, Journal of American Society for Information Science, 49(13), 1185-205.   DOI
17 Bates, M. J. (1989). The design of Browsing and Berrypicking Techniques for the Online Search Interface , Online Review, 13(5), 407-24.   DOI   ScienceOn
18 Cove, J. F. & Walsh, B. C. (1988). Online Text Retrieval via Browsing, Information Processing and Management, 24(1), 31-37.   DOI   ScienceOn
19 Diercks, T. (2003). Database evaluation report: Expanded Academic ASAP vs Academic Search Premier, Retrieved May 5, 2011 from http://liweb/
20 Eastman, C. M. & Jansen, B. J. (2003). Coverage, relevance, and ranking: The impact of query operators on Web search engine results, ACM Transactions on Information Systems, 21(4), 383-411.   DOI   ScienceOn
21 Sife, A. S., (2013). Web Search Behaviour of Postgraduate Students at Sokoine University of Agriculture, Tanzania, Lincoln: University of Nebraska,
22 Okada, E. (n.d.). Basic database searching techniques (Information Commons), Libraries, Retrieved October 14, 2010 from.
23 Pane, J. F. & Myers, B. A. (2000). Tabular and textual methods from selecting objects from groups, Proceedings of VL 2000: IEEE International Symposium on Visual Languages, Seattle, WA: IEEE Computer Society.10.1109.(157-164).
24 Pollard, R. (1993). A Hyper-Text based thesaurus as a subject browsing aid for Bibliographic database, Information Processing and Management, 29(3), 345-57.   DOI   ScienceOn
25 Sinh, N. H. & Nhung, H. T. H., (2012). Users' searching behaviour in using online databases at Vietnam National University - Ho Chi Minh City. Library Management, 33(8/9), 458-468.   DOI   ScienceOn
26 Spink, A. e., (1999). Users' Interactions with the Excite Web Search Engine: A Query Reformulation and Relevance Feedback Analysis. Toronto, CAIS.
27 Shiri, A. A., Revie, C. & Chowdhury, G. (2002). Thesaurus enhanced Search Interfaces, Journal of Information Science, 28(2), 111-22.   DOI
28 Shneiderman, B., Byrd, D. & Croft, W. B. (1998). Sorting out Searching: A User-Interface Framework for Text-searches, Communication of the ACM, 41(4), 95-98.
29 Tenopir, C. & Hover, K. (1993). When is the same database not the same? Database differences among systems, Online, 17(2), 20-28.
30 Thompson, R. H. & Croft, W. B. (1989). Support for browsing in an Intelligent Text Retrieval System, International Journal of Man-Machine Studies, 30, 639-68.   DOI   ScienceOn