000			03158ntm a2200337 i 4500
999			_c102482 _d102488
003			MY-KuUP
005			20251125111037.0
006			a||||fs|||| 000 0
007			ta
008			250429t20232023my a|||fs|||| 000 0 eng d
020			_aTHE0010017 (Local) _qHardback
040			_aUMPSA _beng _cUMPSA _erda
090			_aPSM .Y37 2023 r Bc.
100	1		_aYap, Kah Hui, _eauthor.
245	1	0	_aComprehensive analysis on the push and pull factors influencing malaysian diaspora outbound / _cYap Kah Hui
264		1	_aKuantan, Pahang : _bUMPSA, _c2023
264		4	_c© 2023
300			_axvii,139 pages : _billustrations ; _e1 CD-ROM
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
347			_2rda _atext file _bPDF
500			_aCentre for Mathematical Sciences
502			_aBachelor of Applied Science in Data Analytics with Honours -- Universiti Malaysia Pahang – 2023
504			_aIncludes bibliographical references
520	3		_aThe number of Malaysian diaspora has been increasing over the years and this indicates that Malaysia needs to bear with huge talent loss each year. In 12th Malaysian Plan, one of the focuses is to strengthen the growth enabler or in other words strengthening the human capital in Malaysia. Human capital has been associated with the country’s development. To facilitate country’s growth, more skilled job of key aspects needs to be filled and this requires more highly skilled individuals to fill in the gap. Therefore, this research aims to understand the characteristics of Malaysian diaspora and predict the future trend of Malaysian diaspora. The methods used in this study are empirical analysis, dashboard visualization, descriptive statistics, hypothesis testing, correlation analysis and logistic regression method to gain insights on the Malaysian diaspora. Data are collected through survey and the Return Expert Programme’s data provided by Talent Corporation Malaysian Berhad. The survey is distributed to Malaysian residing in overseas. These data are analysed and visualized using dashboard to provide a clear view of the diaspora’s characteristics. Hypothesis testing is carried out in this research to obtain the population’s Malaysian diaspora returning rate. Next, this research provides findings in the reason of leaving Malaysia by Malaysian diaspora. From this research, economic factors and education factors are the significant factors which influence the Malaysian diaspora’s decision to return to Malaysia. Logistic regression models are generated in this research to predict the return rate of Malaysian diaspora. This research could possibly provide a direction for government and related parties to development plans or policies that mitigate the brain drain issue in Malaysia. Keywords: Malaysian diaspora, push and pull factors, descriptive statistics, dashboard visualization, logistic regression method.
610	2	0	_aCentre for Mathematical Sciences _xDissertations
650		0	_aUniversities and colleges _xDissertations
650		0	_aFinal Year Project _xDissertations
942			_2lcc _cPSM