Abstract
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.
Highlights
The e-commerce revolution has begun to transform a host of information-based service industries – including travel services, banking, and securities trading – bringing new efficiencies, reduced costs, and more consumer choices
The real estate industry has lagged behind many other industries in e-transformation and still relies largely on face-to-face transactions, paper-intensive processes, and mediators to negotiate a myriad of complex facets of a typical purchase
Major KDDSS-RE functions include creating and maintaining customer’s personalized real estate objectives, preferences, and evaluation criteria; participation of various stakeholders in joint determination of criteria defining real estate; market signalling, providing device-based data about the indoor microclimate and allergens causing allergy in the building; 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 the loan alternatives offered by certain banks
Summary
The e-commerce revolution has begun to transform a host of information-based service industries – including travel services, banking, and securities trading – bringing new efficiencies, reduced costs, and more consumer choices. Throughout the world there are many examples of the adoption of Web-based information and intelligent systems in real estate. One of the INTELCITIES’s goals (on the Lithuanian side) was to develop a Real Estate’s Knowledge and the Device-based Decision Support System (KDDSS-RE) that can use best practices as well as explicit and tacit knowledge. This paper is structured as follows: following this introduction, Section 2 describes Real Estate’s Knowledge and the Device-based Decision Support System.
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