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008			200702t20192019my a|||fram|| 000 0 eng d
020			_aTHE0008692(Local) _qhardback
040			_aUMP _beng _cUMP _erda
090			_aFKASA .W37 2019 r Bc.
100	1		_aAbdulwasea Al-Malik, Mohammed Abdullah Saeed, _eauthor.
245	1	0	_aIdentifying the critical success factors of BIM implementation in Malaysia / _cMohammed Abdullah Saeed Abdulwasea Al-Malik
264		1	_aKuantan, Pahang : _bUMP, _c2019
264		4	_c© 2019
300			_axi, 57 pages : _billustrations ; _c30 cm. + _e1 CD-ROM
336			_atext _2rdacontent
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
337			_acomputer _2rdamedia
338			_avolume _2rdacarrier
338			_acomputer disc _2rdacarrier
347			_atext file _bPDF _2rda
500			_aFaculty of Civil Engineering and Earth Resources
502			_aProject Paper (Bachelors of Civil Engineering) -- Universiti Malaysia Pahang – 2019
504			_aIncludes bibliographical references
520	3		_aBuilding Information Modelling (BIM) is one of modern technology that promising a lot of benefits towards architecture, engineering and construction (AEC) industries. The potential of BIM will improve overall in the construction performance in term of cost effectiveness, increase quality of project and reduce time to develop the project. It helps architects, engineers, clients, and constructors to visualize what is to be built in through a 3D model and identify potential design, construction or operational problems. In Malaysia, BIM has introduced to AEC industry by public work department(PWD) since 2007, but the rate of implementing BIM is still very low within construction projects. Thus, this study is focusing in identifying the critical success factors for enhancing BIM implementation in Malaysia. To achieve the aim of the study, related objective been set which are study the current situation of BIM adoption in the construction industry, level of awareness among stakeholders and identify CSFs for implementing of BIM. Factors have been identified through literature review and modified by pilot study to suit the situation in Malaysia. These CSFs are classified into four categories are management, process, people, and technology. Consequently, data analysis has done to identify the most critical success factors that play a main role in enhancing implementation of building information modelling by using relative importance index (RII) analysis method.
610	2	0	_aFaculty of Civil Engineering and Earth Resources _xDisertations
650		0	_aUniversities and colleges _xDisertations
650		0	_aTheses
942			_2lcc _cRESTRICT