A Governance-Oriented Smart Library Pod Reservation System: A Design Science Research Approach

Junaid Ali Saeed Rana, Jeremy Christian, Alvino Wilbert Ho, Caroline Natalia Kurniadi, Seeman Sohail Butt, Daniel Joseph Nyanda

Abstract


The growing demand for flexible, focused learning spaces led universities to introduce individual study pods in academic libraries. However, the absence of structured reservation mechanisms led to inefficient utilization, no-shows, and limited accountability. This study aimed to address these challenges by employing a Design Science Research approach to develop a governance-oriented smart library pod reservation system as a design artifact. The research followed a pre-implementation design process encompassing problem identification, requirement elicitation, system design, and conceptual evaluation. Data were collected using a mixed-methods approach, including a survey of undergraduate students and semi-structured interviews with administrative stakeholders. The findings revealed that although students perceived study pods as effective for focused academic activities, their usage was constrained by accessibility issues, misuse, and lack of transparency. These insights informed the development of a rule-based reservation system incorporating real-time availability, user check-in validation, automated cancellation, and administrative monitoring. The study demonstrated that embedding governance mechanisms directly into reservation workflows enhanced fairness, accountability, and efficiency in the management of shared learning spaces. The proposed design provided a scalable, practical solution to improve the utilization of learning spaces in higher education environments.


Keywords


Design science research; governance; library systems; reservation system; smart campus.

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References


Adewojo, A. A., & Monjolaoluwa, O. P. (2025). Smart library environments: IoT and automation for next-generation services. Business Information Review, 42(4), 232-237. https://doi.org/10.1177/02663821251384884

Ajab Mohideen, Z., Sheikh, A., & Kaur, K. (2022). Mobile app in library services. Digital Library Perspectives, 38(3), 283–300. https://doi.org/10.1108/DLP-08-2021-0064

Alotaibi, N. S. (2024). The Impact of AI and LMS Integration on the Future of Higher Education: Opportunities, Challenges, and Strategies for Transformation. Sustainability, 16(23), 10357. https://doi.org/10.3390/su162310357

Amberger, C., & Schreyer, D. (2024). What do we know about no-show behavior? A systematic, interdisciplinary literature review. Journal of Economic Surveys, 38(1), 57–96. https://doi.org/10.1111/joes.12534

Arévalo-Cordovilla, F. E., & Peña, M. (2024). Comparative Analysis of Machine Learning Models for Predicting Student Success in Online Programming Courses: A Study Based on LMS Data and External Factors. Mathematics, 12(20). https://doi.org/10.3390/math12203272

Asim, M., & Arif, M. (2023). Internet of things adoption and use in academic libraries: A review and directions for future research. Journal of Information Science, 52(1), 228-243. https://doi.org/10.1177/01655515231188338

Bogonko, B. M., Nyakweba, I., & Nakhungu, N. (2025). A framework for implementing data governance and artificial intelligence in higher education libraries. Edulib, 15(2), 199–218. https://doi.org/10.17509/edulib.v15i2.87417

Cao, G., Liang, M., & Li, X. (2018). How to make the library smart? The conceptualization of the smart library. The Electronic Library, 36(5), 811–825. https://doi.org/10.1108/EL-11-2017-0248

Chan, H. C. Y., & Chan, L. (2018). Smart library and smart campus. Journal of Service Science and Management, 11(6), 543–564. https://doi.org/10.4236/jssm.2018.116037

Chen, M., & Shen, C. (2020). The correlation analysis between the service quality of intelligent library and the behavioral intention of users. The Electronic Library, 38(1), 95–112. https://doi.org/10.1108/EL-07-2019-0163

DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success. Journal of Management Information Systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.11045748

Gefen, D., Karahanna, E., & Straub, D. (2003). Trust and TAM in online systems. MIS Quarterly, 27(1), 51–90. https://doi.org/10.2307/30036519

Gregor, S., & Hevner, A. R. (2013). Positioning and presenting design science research. MIS Quarterly, 37(2), 337–355. https://doi.org/10.25300/MISQ/2013/37.2.01

Hevner, A. R., March, S. T., Park, J., & Ram, S. (2004). Design science in information systems research. MIS Quarterly, 28(1), 75–105. https://doi.org/10.2307/25148625

Khan, A. U., Rafi, M., & Zhang, Z. (2023). Determining the impact of technological modernization and management capabilities on user satisfaction and trust in library services. Global Knowledge, Memory and Communication, 72(6-7), 593–611. https://doi.org/10.1108/GKMC-06-2021-0095

Kim, Y., & Yang, E. (2022). Academic library spaces and student activities during the COVID-19 pandemic. The Journal of Academic Librarianship, 48(4), 102529. https://doi.org/10.1016/j.acalib.2022.102529

Li, L. H., Wu, F., & Su, B. (2018). Impacts of Library Space on Learning Satisfaction – An Empirical Study of University Library Design in Guangzhou, China. The Journal of Academic Librarianship, 44(6), 724–737. https://doi.org/10.1016/j.acalib.2018.10.003

Maepa, M. R., & Moeti, M. N. (2021). IoT-based smart library seat occupancy and reservation system using RFID and FSR technologies for South African universities of technology. Proceedings of the International Conference on Artificial Intelligence and Its Applications, 1–8. https://doi.org/10.1145/3487923.3487933

Maepa, M. R., & Moeti, M. N. (2023). A systematic review on IoT-based smart technologies for seat occupancy and reservation needs in smart libraries at institution of higher learning. In M. K. Habib (Ed.), Internet of things - New insights. IntechOpen. https://doi.org/10.5772/intechopen.113329

Montgomery, S. E. (2014). Library space assessment: User learning behaviors in the library. Journal of Academic Librarianship, 40(1), 70–75. https://doi.org/10.1016/j.acalib.2013.11.003

O’Donnell, P., & Anderson, L. (2022). The University Library: Places for Possibility. In New Review of Academic Librarianship 28(3), 232–255. Routledge. https://doi.org/10.1080/13614533.2021.1906718

Peffers, K., Tuunanen, T., Rothenberger, M. A., & Chatterjee, S. (2007). A design science research methodology. Journal of Management Information Systems, 24(3), 45–77. https://doi.org/10.2753/MIS0742-1222240302

Polat, C., & Eroğlu, E. B. (2021). Learning Analytics and an Evaluation Specific to University Libraries. Journal of Balkan Libraries Union, 8(1), 23–32. https://doi.org/10.16918/jblu.937396

Rivo, K., & Žumer, M. (2022). Academic Libraries and Use of Mobile Devices: Case Study of Slovenia. The Journal of Academic Librarianship, 48(3), 102507. https://doi.org/10.1016/j.acalib.2022.102507

Rowe, J., Leuzinger, J., Hargis, C., & Harker, K. R. (2021). The impact of library instruction on undergraduate student success: A four-year study. College & Research Libraries, 82(1), 7–28. https://doi.org/10.5860/crl.82.1.7

Scoulas, J. M., & de Groote, S. L. (2019). The library’s impact on university students’ academic success and learning. Evidence Based Library and Information Practice, 14(3), 2–27. https://doi.org/10.18438/eblip29547

Scoulas, J. M., de Groote, S. L., Shotick, K., & Osorio, N. L. (2024). A holistic approach to understanding undergraduates: Campus engagement, library use and psychological factors. Journal of Academic Librarianship, 50(5), 102936. https://doi.org/10.1016/j.acalib.2024.102936

Shahzad, K., Khan, S. A., Iqbal, A., & Javeed, A. M. D. (2024). Identifying university librarians’ readiness to adopt artificial intelligence (AI) for innovative learning experiences and smart library services: An empirical investigation. Global Knowledge, Memory and Communication, 75(1/2), 646–668. https://doi.org/10.1108/GKMC-12-2023-0496

Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending UTAUT. MIS Quarterly, 36(1), 157–178. https://doi.org/10.2307/41410412

Wang, C., Wu, R., Deng, L., Chen, Y., Li, Y., & Wan, Y. (2020). A bibliometric analysis on no-show research: Status, hotspots, trends and outlook. Sustainability, 12(10), 3997. https://doi.org/10.3390/su12103997




DOI: https://doi.org/10.17509/edulib.v16i1.95740

DOI (PDF): https://doi.org/10.17509/edulib.v16i1.95740.g36412

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