Factors affecting the adoption of IoT-based smart campus: an investigation using analytical hierarchical process (AHP)
The advancement of technology is making university campuses smarter every single day. Despite the benefits of these advanced technologies, the literature concerning the adoption of smart campuses is significantly lacking increased knowledge to provide effective smart campus solutions. This study aim...
| Main Authors: | , , , , |
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| Format: | Article |
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Multidisciplinary Digital Publishing Institute
2022
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| Online Access: | http://psasir.upm.edu.my/id/eprint/101463/ |
| _version_ | 1848863565712195584 |
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| author | Sneesl, Radhwan Jusoh, Yusmadi Yah A. Jabar, Marzanah Abdullah, Salfarina Bukar, Umar Ali |
| author_facet | Sneesl, Radhwan Jusoh, Yusmadi Yah A. Jabar, Marzanah Abdullah, Salfarina Bukar, Umar Ali |
| author_sort | Sneesl, Radhwan |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | The advancement of technology is making university campuses smarter every single day. Despite the benefits of these advanced technologies, the literature concerning the adoption of smart campuses is significantly lacking increased knowledge to provide effective smart campus solutions. This study aims to prioritize the adoption factors of an IoT-based smart campus. The study applied an analytical hierarchical process (AHP) on 25 factors drawn from the literature. The factors were classified into technology specific factors (TSF), organizational specific factors (OSF), environmental specific factors (ESF), and end-user specific factors (USF). Based on the results obtained, the most significant contributing factors were government support, privacy concerns, social influence, facilitating conditions, and service collaboration, whereas the least significant contributing factors were enjoyment, availability, reliability, mobility, and compatibility. Moreover, based on the global ranking computation, 12 factors from the OSF, ESF, and USF categories appeared to be more significant than TSF. The findings of this study could help university administrators, manufacturers, and policy-makers to understand the critical factors of smart campuses in order to improve the adoption and utilization of these solutions effectively. |
| first_indexed | 2025-11-15T13:34:57Z |
| format | Article |
| id | upm-101463 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T13:34:57Z |
| publishDate | 2022 |
| publisher | Multidisciplinary Digital Publishing Institute |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1014632023-08-11T08:21:35Z http://psasir.upm.edu.my/id/eprint/101463/ Factors affecting the adoption of IoT-based smart campus: an investigation using analytical hierarchical process (AHP) Sneesl, Radhwan Jusoh, Yusmadi Yah A. Jabar, Marzanah Abdullah, Salfarina Bukar, Umar Ali The advancement of technology is making university campuses smarter every single day. Despite the benefits of these advanced technologies, the literature concerning the adoption of smart campuses is significantly lacking increased knowledge to provide effective smart campus solutions. This study aims to prioritize the adoption factors of an IoT-based smart campus. The study applied an analytical hierarchical process (AHP) on 25 factors drawn from the literature. The factors were classified into technology specific factors (TSF), organizational specific factors (OSF), environmental specific factors (ESF), and end-user specific factors (USF). Based on the results obtained, the most significant contributing factors were government support, privacy concerns, social influence, facilitating conditions, and service collaboration, whereas the least significant contributing factors were enjoyment, availability, reliability, mobility, and compatibility. Moreover, based on the global ranking computation, 12 factors from the OSF, ESF, and USF categories appeared to be more significant than TSF. The findings of this study could help university administrators, manufacturers, and policy-makers to understand the critical factors of smart campuses in order to improve the adoption and utilization of these solutions effectively. Multidisciplinary Digital Publishing Institute 2022-07-08 Article PeerReviewed Sneesl, Radhwan and Jusoh, Yusmadi Yah and A. Jabar, Marzanah and Abdullah, Salfarina and Bukar, Umar Ali (2022) Factors affecting the adoption of IoT-based smart campus: an investigation using analytical hierarchical process (AHP). Sustainability, 14 (14). art. no. 8359. pp. 1-20. ISSN 2071-1050 https://www.mdpi.com/2071-1050/14/14/8359 10.3390/su14148359 |
| spellingShingle | Sneesl, Radhwan Jusoh, Yusmadi Yah A. Jabar, Marzanah Abdullah, Salfarina Bukar, Umar Ali Factors affecting the adoption of IoT-based smart campus: an investigation using analytical hierarchical process (AHP) |
| title | Factors affecting the adoption of IoT-based smart campus: an investigation using analytical hierarchical process (AHP) |
| title_full | Factors affecting the adoption of IoT-based smart campus: an investigation using analytical hierarchical process (AHP) |
| title_fullStr | Factors affecting the adoption of IoT-based smart campus: an investigation using analytical hierarchical process (AHP) |
| title_full_unstemmed | Factors affecting the adoption of IoT-based smart campus: an investigation using analytical hierarchical process (AHP) |
| title_short | Factors affecting the adoption of IoT-based smart campus: an investigation using analytical hierarchical process (AHP) |
| title_sort | factors affecting the adoption of iot-based smart campus: an investigation using analytical hierarchical process (ahp) |
| url | http://psasir.upm.edu.my/id/eprint/101463/ http://psasir.upm.edu.my/id/eprint/101463/ http://psasir.upm.edu.my/id/eprint/101463/ |