Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/221738
DC Field | Value | |
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dc.title | SMART FM, THE WAY TO GO? - ADOPTION OF SMART FM IN SINGAPORE �S COMMERCIAL BUILDINGS FROM A USER PERSPECTIVE | |
dc.contributor.author | TAN SZE YING JACELYN | |
dc.date.accessioned | 2019-05-27T04:07:49Z | |
dc.date.accessioned | 2022-04-22T17:47:10Z | |
dc.date.available | 2019-09-26T14:14:02Z | |
dc.date.available | 2022-04-22T17:47:10Z | |
dc.date.issued | 2019-05-27 | |
dc.identifier.citation | TAN SZE YING JACELYN (2019-05-27). SMART FM, THE WAY TO GO? - ADOPTION OF SMART FM IN SINGAPORE �S COMMERCIAL BUILDINGS FROM A USER PERSPECTIVE. ScholarBank@NUS Repository. | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/221738 | |
dc.description.abstract | Due to the lack of studies in SMART FM adoption present in the commercial building of the local context, a study was undertaken to address the issue of low adoption to discover underlying challenges and barriers, as well as attributes and factors that are important for SMART FM adoption in the built environment. This study aims to provide building owners with a better understanding on the adoption of Smart FM technologies and solutions. Findings from the study, which included inputs from employees of the lower management team will enable building owners to gain a better perspective into factors that should be taken into consideration before SMART FM tools are adopted in their facilities. Both the quantitative and qualitative approach was utilized, by means of survey questionnaire and interviews conducted to gain insightful information about SMART FM adoption in the FM industry. After data was collected from these two methods, a thorough analysis was done and recommendations were given with hopes to improve SMART FM adoption rate in the built environment over the next few years, aligning the industry with that of the nation’s goal of becoming the first SMART Nation in the world. | |
dc.language.iso | en | |
dc.source | https://lib.sde.nus.edu.sg/dspace/handle/sde/4536 | |
dc.subject | Building | |
dc.subject | PFM | |
dc.subject | Project and Facilities Management | |
dc.subject | Daniel Wong | |
dc.subject | 2018/2019 PFM | |
dc.subject | Smart | |
dc.subject | Facilities Management | |
dc.subject | Automation | |
dc.subject | Intelligent system | |
dc.subject | Smart Nation | |
dc.subject | Artificial Intelligent | |
dc.subject | Big data | |
dc.subject | Technology | |
dc.subject | Internet of things | |
dc.subject | Sensors | |
dc.subject | Data Analytics | |
dc.subject | Digitalization | |
dc.type | Dissertation | |
dc.contributor.department | BUILDING | |
dc.contributor.supervisor | WONG HWEE BOON DANIEL | |
dc.description.degree | Bachelor's | |
dc.description.degreeconferred | BACHELOR OF SCIENCE (PROJECT AND FACILITIES MANAGEMENT) | |
dc.embargo.terms | 2019-06-10 | |
Appears in Collections: | Bachelor's Theses |
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File | Description | Size | Format | Access Settings | Version | |
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Tan Sze Ying Jacelyn 2018-2019.pdf | 21.02 MB | Adobe PDF | RESTRICTED | None | Log In |
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