Theoretical framework
- Disability theory
- Technology Acceptance Model
- Information search tactics, strategies and coping tactics
Disability theory
Bolt, D. (2005). From blindness to visual impairment: Terminological typology and the social model of disability. Disability & Society, 20(5), 539-552. https://doi.org/10.1080/09687590500156246
Brisenden, S. (1986). Independent living and the medical model of disability. Disability, Handicap & Society, 1(2), 173-178.
Burchardt, T. (2004). Capabilities and disability: the capabilities framework and the social model of disability. Disability & society, 19(7), 735-751. https://doi.org/10.1080/0968759042000284213
Dewsbury, G., Clarke, K., Randall, D., Rouncefield, M., & Sommerville, I. (2004). The anti‐social model of disability. Disability & society, 19(2), 145-158. https://doi.org/10.1080/0968759042000181776
Grue, J. (2011). Discourse analysis and disability: Some topics and issues. Discourse & Society, 22(5), 532-546. https://doi.org/10.1177/0957926511405572
Haegele, J. A., & Hodge, S. (2016). Disability discourse: Overview and critiques of the medical and social models. Quest, 68(2), 193-206. https://doi.org/10.1080/00336297.2016.1143849
Oliver, M. (2013). The social model of disability: Thirty years on. Disability & society, 28(7), 1024-1026. https://doi.org/10.1080/09687599.2013.818773
Shakespeare, T. (2004). Social models of disability and other life strategies. Scandinavian Journal of Disability Research, 6(1), 8-21. http://doi.org/10.1080/15017410409512636
Terzi, L. (2004). The social model of disability: A philosophical critique. Journal of Applied Philosophy, 21(2), 141–157. https://doi.org/10.1111/j.0264-3758.2004.00269.x
Technology Acceptance Model (TAM)
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340. https://doi.org/10.2307/249008
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management science, 35(8), 982-1003. https://doi.org/10.1287/mnsc.35.8.982
Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & management, 40(3), 191-204. https://doi.org/10.1016/S0378-7206(01)00143-4
Marangunić, N., & Granić, A. (2015). Technology acceptance model: a literature review from 1986 to 2013. Universal access in the information society, 14(1), 81-95. https://doi.org/10.1007/s10209-014-0348-1
Maruping, L. M., Bala, H., Venkatesh, V., & Brown, S. A. (2017). Going beyond intention: Integrating behavioral expectation into the unified theory of acceptance and use of technology. Journal of the Association for Information Science and Technology, 68(3), 623-637. https://doi.org./10.1002/asi.23699
Moon, H., Cheon, J., Lee, J., Banda, D. R., Griffin-Shirley, N., & Ajuwon, P. M. (2020). Factors influencing the intention of persons with visual impairment to adopt mobile applications based on the UTAUT model. Universal Access in the Information Society, 1-15. https://doi.org/10.1007/s10209-020-00757-0
Venkatesh, & Davis, F. D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS quarterly, 157-178. https://doi.org/10.2307/41410412
Digital Libraries and Technology Acceptance Model
Alotaibi, F. A. A., Johnson, F., & Rowley, J. (2022). Google Scholar or University Digital Libraries: A comparison of student perceptions and intention to use. Journal of Librarianship and Information Science, 0(0). https://doi.org/10.1177/09610006221111197
Booker, L.D., Detlor, B., & Serenko, A. (2012). Factors affecting the adoption of online library resources by business students. Journal of the American Society for Information Science and Technology, 63(12), 2503– 2520. https://doi.org/10.1002/asi.22723
Chen, J. F., Chang, J. F., Kao, C. W., & Huang, Y. M. (2016). Integrating ISSM into TAM to enhance digital library services: a case study of the Taiwan digital meta-library. The Electronic Library. 34(1), 58-73. https://doi.org/10.1108/EL-01-2014-0016
Cheng, Y. M. (2014). Why do users intend to continue using the digital library? An integrated perspective. Aslib Journal of Information Management. 66(6), 640-662. https://doi.org/10.1108/AJIM-05-2013-0042
Hong, W., Thong, J. Y., Wong, W. M., & Tam, K. Y. (2002). Determinants of user acceptance of digital libraries: an empirical examination of individual differences and system characteristics. Journal of management information systems, 18(3), 97-124. https://doi.org/10.1080/07421222.2002.11045692
Liu, L., Su, X., Akram, U., & Abrar, M. (2020). The user acceptance behavior to mobile digital libraries. International Journal of Enterprise Information Systems (IJEIS), 16(2), 38-53. https://doi.org/10.4018/IJEIS.2020040103
Nov, O., & Ye, C. (2009). Resistance to change and the adoption of digital libraries: An integrative model. Journal of the American Society for Information Science and Technology, 60(8), 1702-1708. https://doi.org/10.1002/asi.21068
Moorthy, K., Chun T’ing, L., Ming, K. S., Ping, C. C., Ping, L. Y., Joe, L. Q., & Jie, W. Y. (2019). Behavioral intention to adopt digital library by the undergraduates. International Information & Library Review, 51(2), 128-144. https://doi.org/10.1080/10572317.2018.1463049
Omotayo, F. O., & Haliru, A. (2020). Perception of task-technology fit of digital library among undergraduates in selected universities in Nigeria. The Journal of Academic Librarianship, 46(1), 102097. https://doi.org/10.1016/j.acalib.2019.102097
Park, N., Roman, R., Lee, S., & Chung, J. E. (2009). User acceptance of a digital library system in developing countries: An application of the Technology Acceptance Model. International journal of information management, 29(3), 196-209. https://doi.org/10.1016/j.ijinfomgt.2008.07.001
Rafique, H., Almagrabi, A. O., Shamim, A., Anwar, F., & Bashir, A. K. (2020). Investigating the acceptance of mobile library applications with an extended technology acceptance model (TAM). Computers & Education, 145, 103732. https://doi.org/10.1016/j.compedu.2019.103732
Thong, J. Y. L., Hong, W., & Tam, K. (2002). Understanding user acceptance of digital libraries: What are the roles of interface characteristics, organizational context, and individual differences?. International Journal of Human–Computer Studies, 57(3), 215–242. https://doi.org/10.1016/S1071-5819(02)91024-4
Zha, X., Wang, W., Yan, Y., Zhang, J., & Zha, D. (2015). Understanding information seeking in digital libraries: antecedents and consequences. Aslib Journal of Information Management. 67(6), 715-734. https://doi.org/10.1108/AJIM-12-2014-0167
Khan, A. and Qutab, S. (2016). Understanding research students’ behavioural intention in the adoption of digital libraries: a Pakistani perspective. Library Review, 65 (4/5), 295-319. https://doi.org/10.1108/LR-06-2015-0070
Shivdas, A., Menon, D. G., & Nair, C. S. (2020). Antecedents of acceptance and use of a digital library system: experience from a tier 3 Indian city. The Electronic Library, 38 (1), 170-185. https://doi.org/10.1108/EL-03-2019-0074
Bates, M. J. (1979). Information search tactics. Journal of the American Society for Information Science, 30(4), 205–214. https://doi.org/10.1002/asi.4630300406
Bates, M. J. (1989). The design of browsing and berrypicking techniques for the online search interface. Online Review, 13(5), 407–424. https://doi.org/10.1108/eb024320
Ellis, D. (1989). A behavioural approach to information retrieval system design. Journal of Documentation, 45(3), 171–212. https://doi.org/10.1108/eb026843
Han, H., & Wolfram, D. (2016). An exploration of search session patterns in an image-based digital library. Journal of Information Science, 42(4), 477–491. https://doi.org/10.1177/016555151559895
Lin, S. J., & Belkin, N. J. (2005). Validation of a model of information seeking over multiple search sessions. Journal of the American Society for Information Science and Technology, 56(4), 393–415. https://doi.org/10.1002/asi.20127
Saracevic, T. (1997). The stratified model of information retrieval interaction: Extension and applications. Proceedings of the 60th Annual Meeting of the American Society for Information Science, 34, 313–327.
Savolainen, R. (2007). Filtering and withdrawing: strategies for coping with information overload in everyday contexts. Journal of information Science, 33(5), 611-621. https://doi.org/10.1177/0165551506077418
Savolainen, R., & Kari, J. (2006). Facing and bridging gaps in Web searching. Information Processing and Management, 42(2), 519–537. https://doi.org/10.1016/j.ipm.2005.01.009
Thatcher, A. (2008). Web search strategies: The influence of Web experience and task type. Information Processing and Management, 44(3), 1308–1329. https://doi.org/10.1016/j.ipm.2007.09.004
Xie, I., Babu, R., Lee, T. H., Wang, S., & Lee, H. S. (2021). Coping tactics of blind and visually impaired users: Responding to help-seeking situations in the digital library environment. Information Processing and Management, 58(5), 102612. https://doi.org/10.1016/j.ipm.2021.102612
Xie, I. & Joo. S. (2010). Transitions in Search Tactics during the Web-based Search Process. Journal of American Society for Information and Science Technology. 61(11). https://doi.org/10.1002/asi.21391
Xie, I., & Joo, S. (2012). Factors affecting the selection of search tactics during the web-based searching process. Information Processing and Management, 48(2), 254–270. https://doi.org/10.1016/j.ipm.2011.08.009