INTEGRATING STAKEHOLDER VIEWS INTO REAL ESTATE CURRICULA - ADAPTING THE CDIO APPROACH TO A SOUTH AFRICAN REAL ESTATE PROGRAM

2014 ◽  
Author(s):  
Samuel Azasu ◽  
Karen Gibler
2018 ◽  
Author(s):  
S. Nurick ◽  
L. Boyle ◽  
O. Allen ◽  
G. Morris ◽  
J. Potgieter
Keyword(s):  

2004 ◽  
Vol 7 (2) ◽  
pp. 341-367 ◽  
Author(s):  
H Du Toit ◽  
CE Cloete

This paper provides a concise overview of the development of an integrated property and asset market model (IPAMM) for South African property markets, utilising the Pretoria office market as case study. The IPAMM simulates the interrelationships between property and asset markets in a diagrammatic quadrant model configuration. The Fischer-DiPasquale-Wheaton (FDW) real estate model, arguably the most advanced diagrammatic quadrant real estate model available at present, served as basis for the development of IPAMM. IPAMM is essentially a regression model based on a system of stochastic equations that captures the interrelationships between property and asset markets. The model advances beyond mere conceptualisation of these relationships to a quantified interpretation and application of the theoretical premises that represent the micro-foundations of economic behaviour in property and asset markets.


2020 ◽  
Vol 4 (2) ◽  
pp. 1-23
Author(s):  
Dane Bax ◽  
◽  
Temesgen Zewotir ◽  
Delia North ◽  

Due to the heterogeneous nature of residential properties, determining selling prices which will reconcile supply and demand is difficult. Establishing realistic listing prices is vitally important for sellers to prevent prolonged time on market. Sellers have several resources available to assist in this endeavour, all of which involve understanding current market dynamics through analysing recent sales and listing data. Property portals which aggregate real estate agencies’ data, hosting it on online platforms, are one such resource, along with individual real estate agencies. Leveraging this data to develop solutions that could aid sellers in listing price decision making is a potential business objective that could not only add value to sellers but create a competitive advantage by increasing traffic to an online real estate platform. Using data provided by a South African online property portal, this paper creates a web application using machine learning to estimate listing prices for different types of homes throughout South Africa. This study compared log linear and gradient boosted models, estimating residential listing prices over a four-year period. The results indicate that although log linear models are suitable to account for spatial dependency in the data through the inclusion of a fixed location effect, the assumption of linear functional form was not satisfied. The gradient boosted models do not impose explicit functional form requirements, making them flexible candidates. Similarly, these models were able to handle the spatial dependency adequately. The gradient boosted models also achieved a lower out of sample error compared to the log linear models. The findings show that over observation periodperiod, larger properties consistently experience a diminishing return at some point over the marginal distribution of physical characteristics. The web application details how sellers are easily able to obtain mean listing price estimates and gauge the growth thereof, by simply inputting their property interest criteria.


2020 ◽  
pp. 1-25
Author(s):  
Hangwei Li ◽  
Gilbert Siame

Abstract As Zambia’s chief administrative centre and a major financial, transportation, and manufacturing hub for the country, the City of Lusaka has become one of the fasted growing cities in Southern Africa. Encouraged by the Chinese government’s ‘going out’ policy, Chinese investment and trade with Zambia have risen dramatically since the 2000s. Chinese investment is increasingly shaping the growth of Lusaka City and its hinterland in significant ways. On the other hand, South Africa as a regional geo-economic power has also amplified its strategic engagement with Lusaka. The paper explores how these two geo-economic powers have shaped the development of the City of Lusaka. Findings show that investments from South Africa into the City are private capital backed and are predominantly in the retail and real estate sectors. Chinese engagement in the city are dominated by large government-related construction projects, which have often been state-backed. Analysing the findings through the lens of urban assemblage and polarisation, the paper argues that the City is increasingly becoming more socio-spatially divided with the poor being more adversely affected by the nature and location of investments.


2018 ◽  
Vol 22 (6) ◽  
pp. 471-478 ◽  
Author(s):  
Samuel Azasu ◽  
Yewande Adewunm ◽  
Oluwayomi Babatunde

The aim of this study is to evaluate South African stakeholder views of the content of the recently developed postgraduate course in Facilities Management at the University of the Witwatersrand in South Africa. The study was done using a questionnaire survey of a cross-section of professionals registered with the South African Facilities Management Association (SAFMA). It covers technical, personal, interpersonal and professional skills as well as the ability to conceive, design, implement and operate business systems. It also highlights the degree of importance of these skills. The findings of this research will enable those designing FM programmes of study to ensure that their curricula are current and relevant to the needs of the relevant stakeholders within their contexts. The paper goes beyond previous research in the built environment in specifying the requisite proficiency levels in terms of the relevant skills and competencies.


2011 ◽  
Vol 11 (1) ◽  
Author(s):  
Justin Beneke ◽  
Alexander Acton ◽  
Dominic Richardson ◽  
Fiona White

Research Statement: With an increase in competition within the South African property sector, real estate agencies need to ensure that their channels are as effective as possible. Using the Internet and mobile technologies represents a new means to reach customers and achieve lower operating costs. This study seeks to ascertain which factors potential buyers consider important when perusing residential property in an online environment. Hence, the dimensions of e-service quality, which constitute their online experience, will be explored. In addition, this research explores buyer typologies and probes whether other forms of technology, such as a mobile interface, may be of commercial value to the realtor. Methodology: The empirical analysis was conducted by means of a quantitative survey. A questionnaire was designed to test the application of the e-service quality construct in the South African real-estate sector. Data was obtained from 300 respondents, across the age spectrum, who filled the criteria of being prospective buyers. Convenience sampling was primarily used to collect responses as the researchers were unable to obtain access to a specific database of listed property buyers. Results & Conclusion: As mirrored in other studies of this nature, it was found that trust is paramount when initiating property sales online. All other variables in the construct (site features, information, accessibility, communication, reliability, responsiveness and personalisation) also proved significant. A cluster analysis revealed that older respondents preferred a higher level of support - across all attributes of e-service quality - when interacting with online property services. Lastly, the mobile interface appears to appeal to 'students' as well as 'mature workers'. It is surmised that these individuals have access to smart phones capable of being used for accessing property portals. However, the 'young workers' appear less enthusiastic about the mobile interface, seemingly preferring to either access such portals via the Internet or visiting agents personally.


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