Every year the library of IIUM subscribes to quite a number of online databases with huge expenses but the utilization of these databases is countable. 10 out of 53 subscriptions have been terminated by 2015 to save the cost go in vain. The purpose of this paper is to develop a model based on the ISB elements to identify the reason behind this low usage and to increase the usage of online databases in the future. It has undertaken a quantitative approach to identify the elements of ISB among undergraduate (UG) students. The primary data has been collected through questionnaires based on the variables identified in the objective. There are 118 samples participating in this research and the proposed model has been adapted from Savolainen and Wilson. Psychological perception, searching strategies and the information resources have been considered as the independent variable and measured the usage of the online database among UG students as the dependent variable. The results have shown that there are seven elements which have an influence on the usage of the online database among IIUM UG students. Despite the limited number of samples and a specific group of students, the proposed model can enhance the usage of online database system subscribed to by IIUM library and a search engine can be developed to get the usage increased. In that sense, it is recommended to involve more participants from the different levels of students and users to get diverse elements of ISB. However, the paper contributes to bridging the gap between the online database usage and the users, believed to have an effective outcome for online database subscription. It is hoped that the proposed model would significantly fill this gap and help the library to increase the number of users for their expensive databases.
Savolainen R. (2007), Information behavior and information practice: Reviewing the “Umbrella Concepts” of information-seeking studies. The Library Quarterly 77(2), 109–132. http://doi.org/10.1086/517840
Wilson T. D. (2000), Human information behaviour. Informing Science, 3(2), 49–55. Retrieved from http://inform.nu/Articles/Vol3/v3n2p49-56.pdf
Xie I. (2011), Information Searching and Search Models. In: Encyclopedia of Library and Information Sciences, Third Edition, (August 2013), 2592–2604. http://doi.org/10.1081/E-ELIS3-120043745
Pal A. , Poyen E. F. (2017), Problem solving approach. International Journal of Advanced Engineering Research and Science (IJAERS), 4(5), 184–189.
Hjørland B. (2013), Theories of knowledge organization. Theories of Knowledge Organization, 40(3), 169–182.
Shakeel A. , Vinayagamoorthy P. (2013), Information seeking behaviour of business school students: A special study of universities and colleges located in Academic City, Dubai, UAE. Academic Journals, 5(11), 447–456. http://doi.org/10.5897/IJLIS2013.0402
Malik A. (2009), Web search behavior of university students: A case study at University of the Punjab. Webology, 6(2), 1–14.
Goel S. , Yadav S. (2012), An overview of search engine evaluation strategies. International Journal of Applied Information Systems, 1(4), 7–10. http://doi.org/10.5120/ijais12-450156.
Bhatt A. A. (2014), Information needs, perceptions and quests of law faculty in the digital era. The Electronic Library, 32(5), 659–669. http://doi.org/10.1108/EL-11-2012-0152
Roy P. , Kumar S., Satija M. P. (2012), Problems in searching online databases: A case study of select central university libraries in India. DESIDOC Journal of Library and Information Technology, 32(1), 59–63.
Atilgan D. , Bayram O. (2006), An Evaluation of the Use of the Digital Libraries at Ankara University, Turkey, 1–19. Retrieved from http://eprints.rclis.org/7197/
Mbabu L. G. , Bertram A., Varnum K. (2013), Patterns of undergraduates' use of scholarly databases in a large research university. The Journal of Academic Librarianship, 39(2), 189–193. http://doi.org/10.10167j.acalib.2012.10.004
Azoulay-Schwartz R. , Ilani Z. (2007), An intelligent tutoring system for efficient usage of databases. ITRE 2006. In: 4th International Conference on Information Technology: Research and Education, Proceedings, pp. 18–22. http://doi.org/10.1109/ITRE.2006.381524
Bates M. J. (2010), Information behavior. In: Encyclopedia of Library and Information Sciences, pp. 2381–2391. http://doi.org/doi:10.1081/E-ELIS3-120043263\r10.1081/E-ELIS3-120043263
Yamin F. M. , Ramayah T. (2011), User web search behavior on query formulation. In: International Conference on Semantic Technology and Information Retrieval, STAIR 2011, pp. 182–188. http://doi.org/10.1109/STAIR.2011.5995786
Sriram B. (2016), Factors influencing the internet resource users satisfaction: An analytical study on omani undergraduate learners. Education and Information Technologies, 21, 729–745. http://doi.org/10.1007/s10639-014-9351-7
Wilson T. D. (2007), Evolution in information behavior modeling: Wilson's model. Theories of Information Behavior, (Journal Article), 31–36. Retrieved from http://informationr.net/tdw/publ/papers/2005SIGUSE.html
Niu X. , Hemminger B. M. (2012), A study of factors that affect the information-seeking behavior of academic scientists. Journal of the American Society for Information Science and Technology, 63(2), 336–353. http://doi.org/10.1002/asi.21669
Wilson T. D. (1966), Models in information behavior research. Journal of Documentation, 22(3), 266–268. http://doi.org/10.1108/eb026404
Wilson T. D. (1999), Models in information behavior research. Journal of Documentation, 55(3), 249–270. http://doi.org/10.1108/EUM0000000007145
Simon M. K. , Goes J. (2011), Developing a Theoretical Framework. Dissertation recepies. http://doi.org/10.1186/1472-6963-11-23
Bacon-Shone J. (2015), Introduction to Quantitative Research Methods. Graduate School, The University of Hong Kong. http://doi.org/10.13140/2.1. 4466.3040.
Creswell J. W. (2012), Research Design: Qualitative, Quantitative and Mixed Method Approaches. (Knight V., Young J., Koscielak K., (eds.) (2014), 4th ed. United Kingdom: SAGE Publications. Department of Information Science & University of South Africa. Practical Portfolio User Surveys
Subramaniam A. , Silong A. D., Uli J., Ismail I. A. (2015), Effects of coaching supervision, mentoring supervision and abusive supervision on talent development among trainee doctors in public hospitals: moderating role of clinical learning environment. BMC Medical Education, 15, 129. http://doi.org/10.1186/s12909-015-0407-1
Ferrari A. (2011), Electronic Resources for Library Users: A Survey by the Washington State Library. Washington State.
UW-Sheboygan Library Services (2014), UW-Sheboygan Library Services Student Satisfaction & Usage Survey.
Daud J. M. (2014), Morel dan Pengaruhnya Terhadap Motivasi dan Komitmen Dalam Kalangan Anggota Tentera Darat Malaysia.