This paper is to report the progress of the research which aims to determine the acceptance of Malaysian polytechnic students towards Institutional Repository for learning. User acceptance of a new technology or innovation is carried out to assess the level of user acceptance and response and has been adopted user acceptance theories such as Unified Theory and Use of Technology (UTAUT) and added attitudes as an external variables. This study hold significant important for the visibility and sustainability of the Institutional Repository platform for the long term. However, the study of technology acceptance at the Institutional Repository in Malaysian polytechnics seems to still lack research data related to user acceptance for the Institutional Repository platform to ensure that this service is implemented effectively to assist library users. Objective of this study is to examine user acceptance towards Institutional Repository platform for facilitating the learning process among Malaysian polytechnics students. This quantitative empirical study will conducted at four Malaysia polytechnic in Malaysia which is used propulsive sampling technique which is Politeknik Sultan Abdul Aziz Shah, Politeknik Kuching Sarawak, Politeknik Seberang Perai and Politeknik Kota Bharu. The three constructs of the UTAUT model are used as direct determinants of behavior intention and added with attitudes as external variables as moderators. Data analysis will use SPSS for descriptive and Smart PLS SEM for structural equation modelling. Next, there are needs of the user’s acceptance study towards Institutional Repository platform since it has never implemented. The benefits of technology adoption will reflect students' perceptions of its adoption and the stakeholders who should be responsible for planning, managing and promoting digital libraries for the benefit of students
Adedimeji, A. A., & Adekoya, C. O. (2019). Attitude of university students towards the use of institutional repositories. PervasiveHealth: Pervasive Computing Technologies for Healthcare, 42–48. https://doi.org/10.1145/3372454.3372486
Akanni, O. T., & Adetimirin, A. E. (2017). Performance Expectancy as a Determinant of Use of Open Access Resources by Lecturers in University Of Ibadan , Nigeria. International Journal of Academic Library and Information Science, 5(March), 58–65. https://doi.org/10.14662/IJALIS2017.007
Alajmi, M. A. (2018). The acceptance and use of electronic information resources among faculty of selected Gulf Cooperation Council States universities. Information Development, 35(3), 447–466. https://doi.org/10.1177/0266666918755535
Ammarukleart, S. (2017). Factors Affecting Faculty Acceptance and Use of Institutional Repositories in Thailand. In ProQuest Dissertations and Theses. https://login.pallas2.tcl.sc.edu/login?url=https://search.proquest.com/docview/2009054900?accountid=13965%0Ahttp://resolver.ebscohost.com/openurl?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&rfr_id=info:sid/ProQuest+Dissertations+%26+Theses+Global&rft_v
Bahari, S. F. (2012). Qualitative Versus Quantitative Research Strategies: Contrasting Epistemological And Ontological Assumptions. Jurnal Teknologi, 17–28. https://doi.org/10.11113/jt.v52.134
Baro, E. E., & Nwabueze-Echedom, A. U. (2023). An evaluation of institutional repository development in African universities. IFLA Journal, 49(1), 18–38. https://doi.org/10.1177/03400352221089672
Bervell, B., & Umar, I. N. (2018). Utilization decision towards LMS for blended learning in distance education?: Modeling the effects of personality factors in exclusivity University of Cape Coast , Ghana Irfan Naufal Umar Recommended citation?: Bervell , B ., & Umar , I . N . ( 2018 ). Ut. Knowledge Management & E-Learning, 10(3), 309–333.
Chang, C. C., Lin, C. Y., Chen, Y. C., & Chin, Y. C. (2009). Predicting information-seeking intention in academic digital libraries. Electronic Library, 27(3), 448–450. https://doi.org/10.1108/02640470910966899
Crow, R. (2002). The Case for Institutional Repositories: A SPARC Position Paper. Scholarly Publishing, 223(August), 1–37.
Ding, Z., Saide, S., Siti Astuti, E., Muwardi, D., Najamuddin, N., Jannati, M., & Herzavina, H. (2019). An adoption of acceptance model for the multi-purpose system in university library. Economic Research-Ekonomska Istrazivanja , 32(1), 2393–2403. https://doi.org/10.1080/1331677X.2019.1635898
Dulle, F. W., & Minishi-Majanja, M. K. (2011). The suitability of the unified theory of acceptance and use of technology (utaut) model in open access adoption studies. Information Development, 27(1), 32–45. https://doi.org/10.1177/0266666910385375
Gibson, S. G., Harris, M. L., & Colaric, S. M. (2008). Technology Acceptance in an Academic Context: Faculty Acceptance of Online Education. Journal of Education for Business, 83(6), 355–359. https://doi.org/10.3200/joeb.83.6.355-359
Imoro, O., & Saurombe, N. (2023). Institutional repository infrastructure: a survey of Ghanaian public universities. Collection and Curation, February. https://doi.org/10.1108/CC-11-2022-0038
Khalid, S. ., Mohd Ali, K. ., & Makhbul, Z. . (2019). Assessing The Effect of Higher Education Service. Scientific Journal of Logistics, 15(3), 425–436.
http://doi.org/10.17270/J.LOG.2019.356
Kim, Y. J., Chun, J. U., & Song, J. (2009). Investigating the role of attitude in technology acceptance from an attitude strength perspective. International Journal of Information Management, 29(1). https://doi.org/10.1016/j.ijinfomgt.2008.01.011
Kohnke, A., Cole, M. L., & Bush, R. (2014). Incorporating UTAUT predictors for understanding home care patients’ and clinician’s acceptance of healthcare telemedicine equipment. Journal of Technology Management and Innovation, 9(2).
https://doi.org/10.4067/S0718-27242014000200003
Liu, L., Su, X., Akram, U., & Abrar, M. (2020). The user acceptance behavior to mobile digital libraries. International Journal of Enterprise Information Systems, 16(2), 38–53. https://doi.org/10.4018/IJEIS.2020040103
Lwoga, E. T., & Questier, F. (2014). Faculty adoption and usage behaviour of open access scholarly communication in health science universities. New Library World, 115(3), 116–139. https://doi.org/10.1108/NLW-01-2014-0006
Madu, A., & Haruna, B. (2019). Impact of Users ’ Characteristics in the Intention to use the Library: An SEM Approach. International Journal of Library Science, 17(1).
Memon, M. A., Ting, H., Cheah, J.-H., Thurasamy, R., Chuah, F., & Cham, T. H. (2020). Sample Size for Survey Research: Review and Recommendations. Journal of Applied Structural Equation Modeling, 4(2), i–xx. https://doi.org/10.47263/jasem.4(2)01
Milan, S., Sani, R., & Sani, K. (2014). Inisiatif digital Perpustakaan Politeknik Kuching Sarawak; Repositori Institusi.
http://dspace.poliku.edu.my/jspui/bitstream/123456789/1270/1/Inisiatif digital Perpustakaan PKS.pdf
Moorthy, K., Chun T’ing, L., Ming, K. S., Ping, C. C., Ping, L. Y., Joe, L. Q., & Jie, W. Y. (2018). Behavioral Intention to Adopt Digital Library by the Undergraduates. International Information and Library Review, 51(2), 128–144.
https://doi.org/10.1080/10572317.2018.1463049
Nguyen, H. T. T., Hwang, W. Y., Pham, T., Truong, T. T. T., & Chang, H. W. (2023). Development of a mobile Web library application for an institutional repository and investigation of its influences on learning. Electronic Library, 41(5), 578–616. https://doi.org/10.1108/EL-03-2023-0062
Ofori, E. (2019). Using Technology Acceptance Model To Promote Students Adoption And Use of Digital Technology In The Sunyani Technical University. Journal of Basic and Applied Research International, 25(3), 1–13.
https://www.researchgate.net/publication/333758846
Okoroma, F. N. (2018). Awareness, knowledge and attitude of lecturers towards institutional repositories in university libraries in Nigeria. Digital Library Perspectives, 34(4), 288–307. https://doi.org/10.1108/DLP-04-2018-0011
Onaolapo, S., & Oyewole, O. (2018). Performance Expectancy, Effort Expectancy, and Facilitating Conditions as Factors Influencing Smart Phones Use for Mobile Learning by Postgraduate Students of the University of Ibadan, Nigeria. Interdisciplinary Journal of E-Skills and Lifelong Learning, 14, 095–115. https://doi.org/10.28945/4085
Owusu-Ansah, C. M., Rodrigues, A., & Van Der Walt, T. (2018). Factors influencing the use of digital libraries in distance education in Ghana. Libri, 68(2), 125–135. https://doi.org/10.1515/libri-2017-0033
Oye, N. D., A.Iahad, N., & Ab.Rahim, N. (2014). The history of UTAUT model and its impact on ICT acceptance and usage by academicians. Education and Information Technologies, 19(1), 251–270. https://doi.org/10.1007/s10639-012-9189-9
Prikshat, V., Montague, A., Connell, J., & Burgess, J. (2020). Australian graduates’ work readiness – deficiencies, causes and potential solutions. Higher Education, Skills and Work-Based Learning, 10(2), 369–386. https://doi.org/10.1108/HESWBL-02-2019-0025
Samaradiwakara G D M, & Gunawardena C G. (2014). Comparison of existing technology acceptance theories and models to suggest a well improved theory/model. International Technical Sciences Journal, 1(1), 21–36. file:///C:/Users/Toni/Documents/Citavi 5/Projects/SafeMate/Citavi Attachments/Samaradiwakara G. D. M. N., Gunawardena C. G. 2014 - Comparison of existing technology acceptance.pdf M4 - Citavi
Sharif, A., & Raza, S. A. (2017). The influence of hedonic motivation, self-efficacy, trust and habit on adoption of internet banking: A case of developing country. International Journal of Electronic Customer Relationship Management, 11(1), 1–22. https://doi.org/10.1504/IJECRM.2017.086750
Singeh, F. W., & Abdullah, A. (2010). Applying UTAUT Model to understand Malaysian authors’ readiness to self-archive in Open Access repositories?: a study in progress. ICOLIS, 359–371.
Tarman, B. (2019). Barriers to the Effective Use of Technology Integration in Social Studies Education. Contemporary Educational Technology, 19(4), 736–753.
Tosunta?, B., Karada?, E., & Orhan, S. (2015). The factors affecting acceptance and use of interactive whiteboard within the scope of FATIH project: A structural equation model based on the Unified Theory of acceptance and use of technology. Computers and Education, 81, 169–178. https://doi.org/10.1016/j.compedu.2014.10.009
Ukwoma, S. C., & Dike, V. W. (2017). Academics’ Attitudes toward the Utilization of Institutional Repositories in Nigerian Universities. Libraries and the Academy, 17(1), 17–32. https://doi.org/https://doi.org/10.1353/pla.2017.0002
VanDerSchaaf, H. P., Daim, T. U., & Basoglu, N. A. (2021). Factors Influencing Student Information Technology Adoption. IEEE Transactions on Engineering Management, 1–13. https://doi.org/10.1109/TEM.2021.3053966
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology?: toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/DOI: 10.2307/30036540
Yu, K., & Huang, G. (2020). Exploring consumers’ intent to use smart libraries with technology acceptance model. Electronic Library, 38(3), 447–461. https://doi.org/10.1108/EL-08-2019-0188
Zainab, A. M., Kiran, K., Karim, N. H. A., & Sukmawati, M. (2018). UTAUT’S performance consistency: Empirical evidence from a library management system. Malaysian Journal of Library and Information Science, 23(1), 17–32.
https://doi.org/10.22452/mjlis.vol23no1.2
