FACTORS INFLUENCING THE DEMAND FOR HEALTH INSURANCE: AN EMPIRICAL INVESTIGATION OF THE KLANG VALLEY AREA IN MALAYSIA

2016 ◽  
Vol 16 (3) ◽  
pp. 33-46
Author(s):  
Dineswary Nadarajan ◽  
Naail Kamil ◽  
Sandrakala Ramasamy ◽  
Neeta Jayabalan ◽  
Mathavi Massilamany
2020 ◽  
Vol 7 (2) ◽  
pp. 77
Author(s):  
JieSheng Mang ◽  
Rozlin Zainal ◽  
Indera Syahrul Mat Radzuan

Focusing on Klang Valley, this research studies the outcome of house purchase factors in Malaysia. This research identifies the house purchase factors that affect home buyers’ purchase decisions. The researcher collected data using SurveyMonkey by using a questionnaire to elicit the opinions of Klang Valley residents on housing purchase factors and purchase decision. The factors were evaluated and studied to identify their influence on home buyers’ purchase decision. Findings show that home buyers’ purchase decision are influenced by house structure, space, finance, location, and neighbourhood factors. The findings have laid a foundation for the housing industry to improve.


2021 ◽  
Vol 19 (16) ◽  
Author(s):  
Rohayu Ab Majid ◽  
Rosli Said ◽  
Jamalunlaili Abdullah ◽  
Rohana Ngah ◽  
Qi Jie Kwong

Light Rail Transit (LRT) is one of the public transports that provides a lot of benefits to the Malaysian. Yet this consumption depends on the diverse tastes of potential ridership which are influenced by various factors. However, it is very challenging to predict significant factors influencing ridership preferences. As such, the identification of these factors is very important in ensuring this transportation service really attract ridership attention. Thus, this paper intends to identify the main factors that influence ridership preference in taking LRT transportation. 28 attributes have been identified in this research which expands from four (4) main components. Data were collected from ridership’s survey, site observations and ridership statistical data. Pearson Chi-square has been employed to justify the significant status and the influence level of each LRT attribute and component factors toward ridership preference. The results show that 23 attributes recorded a significant status (<0.00) in two (2) different directions of correlation. Overall, three (3) component factors namely i) Comfortable Service, ii) Economics and iii) Indoor Environment Conditions, have influenced and contributed to the same effect on ridership considerations, as compared to the negative effects displayed by the Site Design Attributes.


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