EVALUATING THE RECEPTIVENESS OF ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGIES IN SINGAPORE �S FACILITIES MANAGEMENT (FM) INDUSTRY

Bachelor's

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: YEO ANNIE
مؤلفون آخرون: BUILDING
التنسيق: Dissertation
اللغة:English
منشور في: 2018
الموضوعات:
PFM
الوصول للمادة أونلاين:https://scholarbank.nus.edu.sg/handle/10635/222230
الوسوم: إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
id sg-nus-scholar.10635-222230
record_format dspace
spelling sg-nus-scholar.10635-2222302024-10-24T17:19:22Z EVALUATING THE RECEPTIVENESS OF ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGIES IN SINGAPORE �S FACILITIES MANAGEMENT (FM) INDUSTRY YEO ANNIE BUILDING JONATHAN LIAN KHIN MING Building PFM Project and Facilities Management Jonathan Lian 2018/2019 PFM Bachelor's BACHELOR OF SCIENCE (PROJECT AND FACILITIES MANAGEMENT) 2018-12-21T02:27:33Z 2022-04-22T18:01:11Z 2019-09-26T14:14:04Z 2022-04-22T18:01:11Z 2018-12-21 Dissertation YEO ANNIE (2018-12-21). EVALUATING THE RECEPTIVENESS OF ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGIES IN SINGAPORE �S FACILITIES MANAGEMENT (FM) INDUSTRY. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/222230 en https://lib.sde.nus.edu.sg/dspace/handle/sde/4377
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
language English
topic Building
PFM
Project and Facilities Management
Jonathan Lian
2018/2019 PFM
spellingShingle Building
PFM
Project and Facilities Management
Jonathan Lian
2018/2019 PFM
YEO ANNIE
EVALUATING THE RECEPTIVENESS OF ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGIES IN SINGAPORE �S FACILITIES MANAGEMENT (FM) INDUSTRY
description Bachelor's
author2 BUILDING
author_facet BUILDING
YEO ANNIE
format Dissertation
author YEO ANNIE
author_sort YEO ANNIE
title EVALUATING THE RECEPTIVENESS OF ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGIES IN SINGAPORE �S FACILITIES MANAGEMENT (FM) INDUSTRY
title_short EVALUATING THE RECEPTIVENESS OF ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGIES IN SINGAPORE �S FACILITIES MANAGEMENT (FM) INDUSTRY
title_full EVALUATING THE RECEPTIVENESS OF ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGIES IN SINGAPORE �S FACILITIES MANAGEMENT (FM) INDUSTRY
title_fullStr EVALUATING THE RECEPTIVENESS OF ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGIES IN SINGAPORE �S FACILITIES MANAGEMENT (FM) INDUSTRY
title_full_unstemmed EVALUATING THE RECEPTIVENESS OF ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGIES IN SINGAPORE �S FACILITIES MANAGEMENT (FM) INDUSTRY
title_sort evaluating the receptiveness of artificial intelligence (ai) technologies in singapore �s facilities management (fm) industry
publishDate 2018
url https://scholarbank.nus.edu.sg/handle/10635/222230
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