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     Research Journal of Applied Sciences, Engineering and Technology

    Abstract
2014(Vol.7, Issue:16)
Article Information:

Identifying Critical Factors of Sale Failure on Commercial Property Types, Shop Houses by Using Multi Attribute Variable Technique

N.I. Mohamad, N.M. Tawil, I.M. Usman and M.M. Tahir
Corresponding Author:  N.I. Mohamad 
Submitted: March 05, 2013
Accepted: May 18, 2013
Published: April 25, 2014
Abstract:
The focus of this research is to identify the critical factors of shop houses sale failure in Bandar Baru Nilai and further up to discover the critical factors of sale failure of commercial property types, shop houses in new township as report by valuation and Property services department (JPPH) showed 5,931 units of shop houses in Malaysia is currently completed but remained unsold where Johor was recorded as the highest with unsold units followed by Negeri Sembilan. Bandar Baru Nilai (a district of Negeri Sembilan) is chosen as research sample for unsold shop houses units due to its strategic location which is near to KLIA, International Sepang Circuit, educational instituitions and surrounded by housing scheme but yet still has numbers of unsold units. Data of the research is obtained from literature review and survey question between developers, local authority, purchasers/tenant and local residents. Relative Importance Index (RII) method is applied in identifying the critical factor of shop houses sale failure. Generally, the factors of sale failure are economy, demography, politic, location and access, public and basic facilities, financial loan, physical of product, current stock of shop houses upon completion, future potential of subsale and rental, developer’s background, promotion and marketing, speculation and time.

Key words:  Sale failure factor of shop houses, sale of shop houses, shop houses, , , ,
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Cite this Reference:
N.I. Mohamad, N.M. Tawil, I.M. Usman and M.M. Tahir, . Identifying Critical Factors of Sale Failure on Commercial Property Types, Shop Houses by Using Multi Attribute Variable Technique. Research Journal of Applied Sciences, Engineering and Technology, (16): 3230-3235.
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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