Factors Related to the Selection of a Real Estate Agency or Agent

1988 ◽  
Vol 3 (2) ◽  
pp. 109-118 ◽  
Author(s):  
Joyce Johnson ◽  
Hugh Nourse ◽  
Ellen Day
Author(s):  
Pi-Fang Hsu ◽  
Hung-Yu Chueh ◽  
Chia-Wen Tsai

When enterprises want to gain visibility in the short term, the fastest way is through the TV media, with a penetration rate of 90%, to reach as many consumers possible. To ensure the optimal allocation of the media budget, the content of an enterprise's TV commercial should be well-grounded in the principles of advertising effectiveness. This study develops a model to aid businesses' selection of TV commercial scripts and the model is divided into two parts using the example of a real estate agency. The first is to build suitable criteria to evaluate TV commercial script via an analysis of relevant literature and the Modified Delphi method; the relative weights of the criteria were then determined via Analytic Hierarchy process (AHP). The other part is to determine the optimum script for TV commercial using the Grey Relational Analysis (GRA). The example of a famous real estate agency in Taiwan is used to show how TV commercial scripts can be selected using this model. The results address factors such as “Ease in Leading to Consumer Acceptance”, “Appearance of The Advertisement”, “Purpose of Community Message”, “Effects of The Advertisement”, and “Commercial Script Content Settings” that are the most vital criteria in sequence. How advertising appeals and gains consumer acceptance, how it renders consumers' needs, its effects, and the script's content that are the most vital criteria in the selection of brand TV commercial scripts. The proposed model helps the real estate agency to effectively select TV commercial scripts, making it highly applicable for both academia and commerce.


2017 ◽  
pp. 528-548
Author(s):  
Pi-Fang Hsu ◽  
Hung-Yu Chueh ◽  
Chia-Wen Tsai

When enterprises want to gain visibility in the short term, the fastest way is through the TV media, with a penetration rate of 90%, to reach as many consumers possible. To ensure the optimal allocation of the media budget, the content of an enterprise's TV commercial should be well-grounded in the principles of advertising effectiveness. This study develops a model to aid businesses' selection of TV commercial scripts and the model is divided into two parts using the example of a real estate agency. The first is to build suitable criteria to evaluate TV commercial script via an analysis of relevant literature and the Modified Delphi method; the relative weights of the criteria were then determined via Analytic Hierarchy process (AHP). The other part is to determine the optimum script for TV commercial using the Grey Relational Analysis (GRA). The example of a famous real estate agency in Taiwan is used to show how TV commercial scripts can be selected using this model. The results address factors such as “Ease in Leading to Consumer Acceptance”, “Appearance of The Advertisement”, “Purpose of Community Message”, “Effects of The Advertisement”, and “Commercial Script Content Settings” that are the most vital criteria in sequence. How advertising appeals and gains consumer acceptance, how it renders consumers' needs, its effects, and the script's content that are the most vital criteria in the selection of brand TV commercial scripts. The proposed model helps the real estate agency to effectively select TV commercial scripts, making it highly applicable for both academia and commerce.


2016 ◽  
Vol 48 (4) ◽  
pp. 161-171 ◽  
Author(s):  
Martyna Sosnowska ◽  
Izabela Karsznia

Abstract Geographic information systems (GIS) and their tools support the process of real estate trading. Of key importance is the ability to visualise information about real estate in the form of maps of average real estate transaction prices. The following study presents a methodology for mapping average real estate transaction prices using GIS. The map development process comprised three main stages. In the first stage, the input data was processed and statistically analysed. Official data came from the Register of Real Estate Prices and Values, and open data from the National Register of Boundaries. The second stage involved the visualization of the data in the form of maps of average apartment prices using the cartographic methods of choropleth maps and diagrams. The commercial tool ArcMap 10.3 and the free Quantum GIS software were used in the design of the maps of average real estate transaction prices, to check the options for using these types of programs. As a result, eight maps were designed presenting the average transaction prices for residential properties in the Warsaw district of Ursynów in 2015. The final stage was the analysis of the designed maps. The influence of the selection of the reference units on the visualization content, and the impact of combining cartographic presentation methods on the complexity of the presentation of real estate information, were also analysed.


2021 ◽  
Vol 15 (1) ◽  
pp. 81-101
Author(s):  
Joseph Mensah ◽  
Daniel Tucker-Simmons

In 2015, the predominantly visible minority immigrant community of Herongate, in Ottawa, Ontario, was slated for redevelopment by its landlord, Timbercreek Asset Management. This redevelopment involved mass eviction of the incumbent tenants, demolition of the existing affordable housing and its replacement with luxury rentals, which, by all indications, are beyond the financial reach of the former Herongage tenants. This paper seeks to problematize large-scale residential real estate redevelopment in Canada and examine its impact, using the Herongate situation as a case study. Among other things, it profiles the Herongate community, its history and present redevelopment, and explores the legal framework, and the limits thereof, constraining mass evictions of this type in Ontario. The findings indicate that the selection of Herongate for redevelopment was not fortuitous; generally, racialized and immigrant communities like Herongate are disproportionately likely to be selected for large-scale redevelopment projects, and thus subjected to mass-evictions. Further results suggest that the dissolution of the Herongate community – and the attendant dislocation of its members – has exacted a pronounced social and economic toll and compounded the racial discrimination already experienced by the former Herongate residents, most of whom are visible minorities. The paper concludes with an appeal to imbue the redevelopment process with a greater regard for social justice, and a right to housing as a policy solution to address the injustice caused by real estate redevelopment.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ayodele Samuel Adegoke ◽  
Timothy Tunde Oladokun ◽  
Timothy Oluwafemi Ayodele ◽  
Samson Efuwape Agbato ◽  
Ahmed Ademola Jinadu

PurposeThe study analysed the factors influencing real estate firms' (REFs) decision to adopt virtual reality (VR) technology using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method. This was done to enhance the practice of real estate agency in Nigeria.Design/methodology/approachData were elicited from eight real estate experts. These experts were heads of the agency department of firms that had been in existence for a minimum of five years in the Lagos property market. The data analysed in this study were collected with the aid of a questionnaire.FindingsThe result revealed that use intention was influenced by performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, price value and UB. Also, facilitating conditions, habit and use intention did not influence use behaviour. Overall, six constructs, which include price value (Ri − Cj value = 0.1284), use behaviour (Ri − Cj value = 0.0666), social influence (Ri − Cj value = 0.0583), facilitating conditions (Ri − Cj value = 0.0323), performance expectancy (Ri − Cj value = 0.0196) and effort expectancy (Ri − Cj value = 0.0116), were significant predictors of the factors influencing the decision of REFs to adopt VR. Of these constructs, the Ri − Cj values indicated that price value had the highest causative influence.Practical implicationsThe result of this study will bring REFs to the consciousness of the factors that could affect their adoption of VR technology. This study will also assist the Nigerian Institution of Estate Surveyors and Valuers in appropriately enlightening REFs on the integration of VR technology into the agency practice especially at this time when all health protocols and guidelines need to be observed to help flatten the curve of the Covid-19 pandemic.Originality/valueThis study is the first to have an insight into the analysis of the factors influencing REFs' decision to adopt VR technology using the DEMATEL method.


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