scholarly journals Technologies To Improve The Decision-Making Process Of Real Estate Appraisers: XML, Intelligent Agents, Avms, And Web Services

Author(s):  
Timothy H. Greer ◽  
Mirza B. Murtaza

<p class="MsoBlockText" style="margin: 0in 0.5in 0pt 1in;"><span style="font-style: normal; mso-bidi-font-style: italic;"><span style="font-size: x-small;"><span style="font-family: Times New Roman;">Pressure to expedite mortgage originations has prompted the need to accelerate the appraisal process for residential real estate.<span style="mso-spacerun: yes;">&nbsp; </span>The appraisal aspect of a mortgage origination is one area where decision support can play a major role in redefining the process. This study presents propositions that incorporate new technologies into the decision-making process of a residential real estate appraiser.<span style="mso-spacerun: yes;">&nbsp; </span>The four propositions deal with intelligent agents, XML, automated valuation models (AVMs), and web services. Intelligent agents have the ability to redefine how appraisal firms create, maintain, and update their databases.<span style="mso-spacerun: yes;">&nbsp; </span>XML offers enhanced data handling capabilities, while automated valuation models offer the ability to drastically reduce the time required to render an estimate of value. These two technologies can be combined with web services to make the real estate appraisal application available anywhere and anytime of the day.</span></span></span></p>

2021 ◽  
Vol 13 (14) ◽  
pp. 7550
Author(s):  
Roberto Cervelló-Royo ◽  
Marina Segura ◽  
Regina García-Pérez ◽  
Baldomero Segura-García del Río

This paper examines key aspects of the behavior of housing demand from a sustainable standpoint. Most studies have mainly focused on housing supply, looking at quantitative predictions without considering the qualitative relationship found between housing values and housing demand on a sustainable and microeconomic scale. We used a multicriteria decision methodology (analytic hierarchy process—AHP) for the analysis of preferences in demand, based on the theory of multi-attribute utility of housing, to determine the relative importance of each characteristic of housing and its influence on the decision-making process. For this purpose, we carried out the study over three main groups of stakeholders in the housing market: real estate surveyors, real estate agents, and housing buyers (the latter representing the housing demand). Results show that although there might be some slight discrepancies among the three groups in the decision-making process and the weighting of housing attributes, the three groups agree in most of the process, especially when defining the criteria and the importance that each criterion has on the process of valuation. This study provides important managerial and sustainable implications for the real estate market related to urban public policy, as we highlight which criteria are most preferred.


2020 ◽  
Vol 18 (3) ◽  
pp. 211-217
Author(s):  
I. Kancheva

Purpose: Children play a significant role as active participants in different markets through their own spending power. They are also able to exert considerable influence – explicit or implicit - over other family members’ consumer behavior. The combination of various spatial, structural, financial and practical aspects place the purchase of a real estate among the most complex for the family. The objective of the present paper is to reveal the degree and form of children’s influence throughout family real estate purchase decision-making process. Methods: This paper represents the results of an empirical study focused on parental perceptions of children’s influence in a family real estate purchase. Data were gathered using a convenience sample of 286 respondents – 156 men and 130 women from different Bulgarian families. Frequency distributions, analysis of variance, paired samples and independent samples t-test were applied for the aims of the analysis. Results: Children are found to exert moderate indirect influence throughout the family real estate purchase. They are most influential in the final phase of the real estate purchase decision-making process. Although high influence scores are detected in some attributive decisions, children are found least influential over choices related to technical and financial aspects of the purchase.


2021 ◽  
Vol 13 (8) ◽  
pp. 4352
Author(s):  
Nomeda Dobrovolskienė ◽  
Anastasija Pozniak ◽  
Manuela Tvaronavičienė

Today, sustainability, sustainable development and clean environment come to the fore worldwide. Consequently, the concept of sustainability has been introduced in project management. Sustainability issues have gained particular attention in the real estate sector. However, despite the fact that this sector has a huge impact on the environment and society, real estate projects are most commonly chosen taking into account only their risk and return, and a very limited number of indices and methods are available to assess their sustainability. Moreover, all of the existing indices and models for assessing the sustainability of an investment project take into account only three dimensions of sustainability—environmental, social and economic. Therefore, the novelty of this work lies in constructing a real estate sustainability index (RESI) relying on an additional sustainability aspect—i.e., a technological dimension. The developed sustainability index could be useful in evaluating and comparing real estate projects. It would also promote technological progress and investments in new technologies within projects as sustainability is also considered in a new, technological dimension. A research study was carried out between September 2020 and December 2020. Following an analysis of the literature and different sustainability-related standards relevant for the real estate industry, sustainability criteria were chosen and then grouped into four (environmental, social, economic and technological) categories. The selection and ranking of the most relevant sustainability criteria were performed through a survey. The index was compiled by applying multi-criteria decision making methods.


2021 ◽  
Vol 13 (2) ◽  
pp. 622
Author(s):  
Marzia Morena ◽  
Genny Cia ◽  
Alessandra Migliore ◽  
Stefano Mantella

The debate on public real estate enhancement is prominent and requires innovative strategies to assure economic and social sustainability. This article aims at systematizing the currently available methods and tools of public property enhancement in Italy, proposing a system of criteria to support the public administration (PA) in the decision-making process when managing public real estate enhancement oriented towards public utility. Namely, this article considers and assesses consolidated and innovative public real estate enhancement methods and tools currently available to the Italian PA according to the “endogenous criteria” of the real estate tools and “criteria of purpose” of the public administration promoting the enhancement process. The final aim is to support the decision-making process of PAs and help both public and private actors in grasping and managing the complexity of public real estate enhancement. An overview of the literature and of reference laws on public property enhancement builds the research framework, together with a path of research, dialogues, and fieldworks with the Italian State Property Agency (Agenzia del Demanio). The decision-making process of PAs for selecting a suitable enhancement strategy or tool should rest on endogenous criteria and criteria of purpose. Specifically: (i) the distinct technical features of each public asset; (ii) the public utility aim that the public entity intends to pursue; (iii) the needs of the community (i.e., the demand); (iv) the skills available within the PA that promotes the strategy.


2016 ◽  
Vol 24 (4) ◽  
pp. 70-78 ◽  
Author(s):  
Alina Źróbek-Różańska

Abstract Predicting demand on the residential real estate market and the behavior of the purchasers requires a wide knowledge of both the economic mechanisms and psychology of decision-making. Decisions on the real estate market are often made by people without professional skills, and using simplified strategies. However, the decision-making process, on top of its heuristic nature, is dynamic and changing. As a result, a discrepancy in the preferred characteristics of planned and actually bought real estate can be observed. Such a discrepancy can be explained with the occurrence of the compensation process. The aim of this article was to recognize and describe the compensation process on the example of the suburban residential real estate market. The aim was achieved by analyzing the preferences of potential buyers in terms of particular characteristics of the location of suburban plots destined for single-family housing (respondents divided into age groups: 25 and 26-40), analyzing the real settlement trend in the suburban zone (the result of actual transactions) and comparing the results, including compensation.


2019 ◽  
Vol 38 (3) ◽  
pp. 457-477
Author(s):  
Benjamin Gbolahan Ekemode ◽  
Abel Olaleye

Purpose In a bid to broaden the understanding of the real estate investment decision-making framework, the purpose of this paper is to examine the real estate asset allocation decision-making practices of real estate funds in Nigeria, a developing economy. This is with a view to providing information toward enhancing real estate investment decisions. Design/methodology/approach A mixed-methods approach comprising a combination of literature review, expert interviews and semi-structured questionnaire survey is adopted for this study. Through literature review and expert interviews, the asset allocation decision-making process of institutional real estate funds was identified. Based on the literature review and expert discussions, a semi-structured questionnaire was developed and self-administered on fund/portfolio managers of 59 institutional real estate funds in Nigeria to investigate their asset allocation decision-making practice. Data were analyzed using descriptive and inferential statistics for the closed-ended questions while the open-ended questions were content analyzed. Findings The findings revealed that the asset allocation decision-making process utilized by public and private real estate funds follows an opportunistic asset accumulation approach. The decision-making process also varies depending on the nature of the fund. Further findings showed that government policies, political uncertainties and regulatory mechanism motivate asset allocation decisions. Moreover, majority of the sampled real estate funds employed a combination of in-house personnel and external consultants (hybrid), while mean/standard deviation and cash flow analysis (DCF, NPV) were mostly utilized by the funds in making property investment decisions. Practical implications The findings implied that the real estate asset allocation decision-making process of institutional property investors in Nigeria deviates from the normative model of the asset allocation process prescribed in the literature and varies depending on the nature of the real estate funds. As such, familiarization of institutional investors with government policies, political climate and other regulatory mechanism (barriers to entry) guiding the ownership and operation of real estate assets in the country could improve their real estate investment decisions. Originality/value The study complements and extends existing literature on real estate asset allocation decision-making process of institutional investors from the viewpoint of the actors involved in a developing African economy.


2018 ◽  
Vol 1 (3) ◽  
pp. 53
Author(s):  
Bushra Mahadin

Purpose-This paper aims to investigate factors that affect customer switching from Internal Combustion Engine Vehicles (ICEV’s) to Hybrid Electrical Vehicles (HEV’s), in Jordan for the period of (2010-2014).Design/methodology/approach-A self-administered survey was hand-delivered to the targeted sample of car users in Jordan. The authors delivered 400 questionnaires to customers, from which 333 were deemed valid for the analysis, corresponding to the percentage of (83.25%) which indicates the validity of the study. Findings- There was no difference in switching behavior between (ICEV’s) and (HEV’s) based on gender in the Jordanian market. Fuel consumption efficiency was the number one variable that supports the switching behavior towards (HEV's), followed by Eco friendliness, lower taxes and technological features. Price and the current trend in the market were the least supporting factors. In addition to that the perception of the battery life of (HEV's), limited choices in the market, lack of information and fear of the relatively new technology were the major hindering factors of choosing an (HEV).Research limitations-Future research needs to investigate other factors that may affect customers’ behavior such as perceived image, trust, and subjective norms. Future research should investigate into the importance of environmental awareness and new technologies, and gender differences in behavior. From an international marketing standpoint, comparative studies between Jordanian and non-Jordanian customers are potential areas of future research for international marketing strategies and cross-cultural consumer behaviour analysis. Practical implications-The paper identifies the determinants of switching behavior. marketers should focus addressing customers concerns in terms of providing enough information and building awareness towards the technology and it's benefits towards the society and the environment.Originality/value-Our study is one of the few in Jordan that investigates the switching behavior towards vehicles technology. Our study is thought to have made a modest contribution to consumer behaviour literature and, specifically, for decision making process. It offers marketers insights into the determinants of switching behavior towards the hybrid vechicle technology and how this contribute to consumers’ decision making process and attitudes to achieve the intended behavioural outcomes


2021 ◽  
Vol 24 (2) ◽  
pp. 139-183
Author(s):  
Kristoffer B. Birkeland ◽  
◽  
Allan D. D’Silva ◽  
Roland Füss ◽  
Are Oust ◽  
...  

We develop an automated valuation model (AVM) for the residential real estate market by leveraging stacked generalization and a comparable market analysis. Specifically, we combine four novel ensemble learning methods with a repeat sales method and tailor the data selection for each value estimate. We calibrate and evaluate the model for the residential real estate market in Oslo by producing out-of-sample estimates for the value of 1,979 dwellings sold in the first quarter of 2018. Our novel approach of using stacked generalization achieves a median absolute percentage error of 5.4%, and more than 96% of the dwellings are estimated within 20% of their actual sales price. A comparison of the valuation accuracy of our AVM to that of the local estate agents in Oslo generally demonstrates its viability as a valuation tool. However, in stable market phases, the machine falls short of human capability.


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