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All Journal International Journal of Supply Chain Management
Rozlin Zainal
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Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering Transportation

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Housing Decision Making Technical Information: An Approach for Improving Quality Housing Delivery during the Initiation Development Phase Process Rozlin Zainal; Sulzakimin Mohamed; Norliana Sarpin; Seow Ta Wee; Zarina Shamsudin; Indera Syahrul Mat Radzuan
International Journal of Supply Chain Management Vol 7, No 3 (2018): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

Incomplete communication between decision maker, proposer, and secretariat happened due to time constraint and distance's factor among them in the decision-making process for housing development project. Consequently, the convenience of information becomes limited due to the restricted amount of data given by the developer. The problem is to make the best decision in construction; it must come from various information sources and specialists, especially in housing where the sector is near to the public (social) objective. Due to these decision-making problems, the developer faces a late delivery and sick housing project conflict. This paper aims to identify the technical decision making information for housing development at the initiation phase in Malaysia. Delphi method is employed by using questionnaire survey which involved 50 private developers for the first round of data collection. However, only 34 developers contributed to the second round of the data collection process. At the last round, only 12 developers were finalized as the main contributor in the final process. As a result, the findings are work schedule, location and size of project are most necessary information in technical information part which are required for decision making for housing development among Malaysian developers. Moreover, the advancement of skill must be improved and developers should not be easily pleased with their achievement as the information technology advances at a pace we can hardly keep up with.
Influence of Location Attributes on Home Buyers’ Purchase Decision Jiesheng Mang; Rozlin Zainal; Indera Syahrul Mat Radzuan
International Journal of Supply Chain Management Vol 7, No 3 (2018): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (13.161 KB)

Abstract

Owning a home at a bad location is detrimental to its market value. Besides, demographic forces have influenced the demand for housing over the past decades. This study identifies the type of location attributes and demographic characteristics influences on housing purchase decisions of home buyers in Iskandar Malaysia. This research intends to collect data through questionnaire. The respondents are the house owners of Taman Nusa Sentral. The data is then analysed with correlation to study the relationship between demographic and location variables. Most of the demographic characteristics, except Gender and Income, have significant influences on location facilities and services when it comes to house purchase decision. This study is able to overcome the problems of low house owning rate and oversupply and provides preferable location attributes to the housing developers.
Prediction Supply Modelling for High-Cost Housing in Malaysia Fazilah Ramli; Rozlin Zainal; Maimunah Ali
International Journal of Supply Chain Management Vol 8, No 3 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

Oversupply and overhang among the high-cost housing type has become a blazing field that is often discussed in the press due to the failure in getting a balance of construction demand and supply unit. The basic purpose of the research is to develop a prediction modelling for high-cost housing supply based on the macroeconomic factors. The investigation involved the improvement of the analytical framework by synthesizing the models and framework advanced by a past analyst on the housing supply market framework. As initial, macroeconomic data of MHPI, GDP, BLR, CPI, population size, PCI, CBI, housing demand rate and housing stock index from 2007 to 2017 are collected from National Property and Information Centre (NAPIC) and Department of Statistics Malaysia (DOSM) website. The prediction of the housing supply is investigated using Multiple Regression Analysis (MRA). Based on these problem, the investigation contended that the housing supply prediction model will be accomplish using experimental data from economic data with supported from macroeconomic factors such as world borrowing cost, outflows of foreign capital, subprime crisis, population characteristics, migration, urbanization, stamp duty exemption, moratorium, RPGT, and also microeconomic factors such as location and accessibility, basic and public facility, financial loan, location and placement, credit facility, construction cost, development approval, price and rental and housing stock.
Co-Authors Fazilah Ramli Indera Syahrul Mat Radzuan Jiesheng Mang Maimunah Ali Norliana Sarpin Seow Ta Wee Sulzakimin Mohamed Zarina Shamsudin