Theoretical framework

Disability theory 

Bolt, D. (2005). From blindness to visual impairment: Terminological typology and the social model of disability. Disability & Society, 20(5), 539-552.

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.

Dewsbury, G., Clarke, K., Randall, D., Rouncefield, M., & Sommerville, I. (2004). The anti‐social model of disability. Disability & society, 19(2), 145-158.

Grue, J. (2011). Discourse analysis and disability: Some topics and issues. Discourse & Society, 22(5), 532-546.

Haegele, J. A., & Hodge, S. (2016). Disability discourse: Overview and critiques of the medical and social models. Quest, 68(2), 193-206.

Oliver, M. (2013). The social model of disability: Thirty years on. Disability & society, 28(7), 1024-1026.

Shakespeare, T. (2004). Social models of disability and other life strategies. Scandinavian Journal of Disability Research, 6(1), 8-21.

Terzi, L. (2004). The social model of disability: A philosophical critique. Journal of Applied Philosophy, 21(2), 141–157.

Technology Acceptance Model (TAM)

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.

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.

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.

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.

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.

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.

Venkatesh, & Davis, F. D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186–204.

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.

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).

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

 Bates, M. J. (1979). Information search tactics. Journal of the American Society for Information Science, 30(4), 205–214.

Bates, M. J. (1989). The design of browsing and berrypicking techniques for the online search interface. Online Review, 13(5), 407–424.

Ellis, D. (1989). A behavioural approach to information retrieval system design. Journal of Documentation, 45(3), 171–212.

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.

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.

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.

Savolainen, R., & Kari, J. (2006). Facing and bridging gaps in Web searching. Information Processing and Management, 42(2), 519–537.

Thatcher, A. (2008). Web search strategies: The influence of Web experience and task type. Information Processing and Management, 44(3), 1308–1329.

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.

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).

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.