Alamo Realty: The Effects of Technology Changes on Real Estate Brokerage

Guttery, Randall S.; Baen, John; Benjamin, John D.

doi:10.1080/10835547.2000.12091567

Cited by 16 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Baen and Roulac (1998) and Jud and Roulac (2001) stated that technological changes will have a tremendous affect on how real estate is bought and sold in the future. Guttery, Baen, and Benjamin (2000) speculated that information technology and greater efficiency in the matching of buyers and sellers will lead to fewer active sales agents. Muhanna (2000) suggested lower commission rates will occur.…”

Section: The Impact Of Buyer/seller Separate Agentsmentioning

confidence: 99%

See 1 more Smart Citation

International Real Estate Review

Delcoure¹,

Miller²

2002

IRER

View full text Add to dashboard Cite

It is commonly understood that residential real estate brokerage fees in the US tend to run 6% or 7% within local markets for existing property resales. Exceptions to these historically uniform going rates are starting to appear, and utilization of the internet will provide new efficiencies that should lead to lower commission rates in the future. One possible indication of where the long term commission rates may head, should price competition increase, is provided by a review of commission rates around the world. This study is a first attempt to gather such data and begin the process of global comparisons. Most industrialized country brokerage rates are significantly below those of the US, although there are clearly differences in the services provided, red tape, and liabilities, as well as information access. An exploratory model attempts to explain variations in fees around the world and deepen our understanding of possible equilibriums for US firms should price competition increase.

show abstract

Section: The Impact Of Buyer/seller Separate Agentsmentioning

confidence: 99%

“…To effectively compete with on-line multiservice real estate brokerage e-tailers, traditional real estate companies must make the Internet their ally. In their analysis of the effects of technology changes on real estate brokerage, Guttery, et. al.…”

Section: The Impact Of Buyer/seller Separate Agentsmentioning

confidence: 99%

International Real Estate Review

Delcoure¹,

Miller²

2002

IRER

View full text Add to dashboard Cite

show abstract

“…And then we use the Unified Modeling Language (UML) to describe the transactions in the real estate industry both traditional and using Internet. (Grady et al, 2000) On the other hand, Guttery, Baen and Benjamin(2000) express their concerns about broker disintermediation. They consider that if more information about real estate markets is available to the general public through technology, this would signal a transfer of power to consumers that will devalue information and services previously available only through REALTORS@.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Internet Impact on the Real Estate Industry

Chérif

2013

International Journal of Service Science, Management, Engineering, and Technology

View full text Add to dashboard Cite

Real estate is an information intensive industry where realtors/agents represent information intermediaries between buyers and sellers. This paper analyzes the evolution that the Internet brings to the real estate transactions at different levels. The authors discuss the stages of both traditional and internet based residential real estate transaction. The authors perform UML language modelling and analysis of the transactions in the real estate industry for both traditional and using Internet. The authors also compare their models to the frameworks in the service science area. Then the authors discuss how transactions costs may be reduced and provide competitive advantage for new services.

show abstract

“…throughout the world there are many examples of the adoption of web-based information and intelligent systems in real estate. some of them are as follows: e-commerce (muhanna, 2000; teicholz, 2000), valuation (Zavadskas et al, 2007a;Šliogerienė et al, 2009), brokerage (Guttery et al, 2000;ham and Atkinson, 2003;Zumpano et al, 2003), facility management and maintenance (ArchIbUs, Inc., 2009;fm:systems, 2009;ko, 2009), mortgages (mortgage.com, 2009;E-Loan, Inc., 2009), real estate management (drawbase software, 2009), insurance (bIG, 2009), project development (realdata, Inc., 2009), sustainable development and planning (onishi, 2002;curwell et al, 2005;Zavadskas et al, 2007b;jakaitis et al, 2009;Jauneikaitė and Carreno, 2009;Simão et al, 2009;Stankevičius et al, 2010), evaluation for real estate investment (wang, 2005;Guo et al, 2007), matching/listing services (benjamin et al, 2000; ford et al, 2005), negotiation (Kaklauskas and Urbanavičienė, 2005;Urbanavičienė et al, 2009aUrbanavičienė et al, , 2009b, real estate's transaction process (cao et al, 2001;Fang et al, 2009), procurement (Vitkauskaitė and Gatautis, 2008) etc. for example, in forbes (2000a, 2000b, 2000c opinion, the corporation of tomorrow must successfully integrate facilities management with finance and administrative activities, sales and marketing, human resources, information management, manufacturing, distribution, and these should be web centric.…”

Section: Introductionmentioning

confidence: 99%

Real Estate's Knowledge and Device‐based Decision Support System

Zavadskas

Kaklauskas

Banaitis

2010

International Journal of Strategic Property Management

View full text Add to dashboard Cite

The authors of this paper participated in the European Union's Sixth Framework Programme project Intelligent Cities (INTELCITIES, 2005). One of INTELCITIES's goals (on the Lithuanian side) was to develop a Real Estate's Knowledge and Device‐based Decision Support System (KDDSS‐RE). Major KDDSS ‐RE functions include creating and maintaining customer's personalized real estate objectives, preferences, and evaluation criteria; participation of various stakeholders (buyers, sellers, brokers, etc.) in joint determination of criteria (criteria system, values and weights) defining real estate; market signalling, provide device‐based data about indoor microclimates and allergens causing allergy in buildings; searching for real estate alternatives, finding alternatives and making an initial negotiation table, completing a multiple criteria analysis of alternatives, making electronic negotiations based on real calculations, determining the most rational real estate purchase variant, and completing an analysis of loan alternatives offered by certain banks. The authors of the present research have suggested the idea to integrate knowledge‐based, devices‐based and decision support systems. In order to demonstrate the integration decision support, knowledge and devices systems in the real estate sector a Real Estate's Knowledge and Devices‐based Decision Support System have been considered in the paper as an example. Santruka Šio darbo autoriai dalyvavo šeštosios bendrosios programos projekte ‘Intelektualūs miestai” (INTELCITIES). Vienas iš INTELCITIES tikslu (Lietuvoje) – sukurti žiniomis ir prietaisais pagrista nekilnojamojo turto sprendimu paramos sistema (KDDSS‐RE). Pagrindines KDDSS‐RE funkcijos yra šios: sukurti ir pletoti klientui asmeniškai pritaikytus nekilnojamojo turto tikslus, pageidavimus ir vertinimo kriterijus; ivairioms suinteresuotosioms grupems (pirkejams, pardavejams, tarpininkams ir pan.) suteikti galimybe drauge nustatyti nekilnojamaji turta apibūdinančius kriterijus (kriteriju sistema, vertes ir reikšmingumus); rinkos tyrimas, iš prietaisu gautu duomenu apie patalpu mikroklimata ir pastatuose esančius alergenus pateikimas; alternatyviu nekilnojamojo turto variantu paieška, ju radimas ir pradines derybu lenteles sudarymas, alternatyvu daugiakriterine analize, realiais skaičiavimais pagristos elektronines derybos, racionaliausio nekilnojamojo turto varianto pirkimui nustatymas ir tam tikru banku siūlomu alternatyviu paskolu variantu analize. Šio tyrimo autoriai pasiūle ideja integruoti žiniomis ir prietaisais pagristas bei sprendimu paramos sistemas. Siekiant sprendimu paramos, žiniu ir prietaisu sistemu integravima pademonstruoti nekilnojamojo turto sektoriuje, darbe nagrinejama žiniomis ir prietaisais pagrista nekilnojamojo turto sprendimu paramos sistema.

show abstract

Alamo Realty: The Effects of Technology Changes on Real Estate Brokerage

Cited by 16 publications

References 0 publications

International Real Estate Review

International Real Estate Review

Analysis of the Internet Impact on the Real Estate Industry

Real Estate's Knowledge and Device‐based Decision Support System

Contact Info

Product

Resources

About