scholarly journals Research and analysis of real estate virtual e-commerce model based on big data under the background of the COVID-19

2021 ◽  
Vol 33 (6) ◽  
pp. 0-0

The sudden attack of the new crown virus in 2020 has brought an unprecedented impact on the real estate market economy and has completely disrupted people's work and life rhythm! With the rapid development of the Internet, the Internet has penetrated into all aspects of people's lives. As soon as e-commerce was introduced, it was loved by the majority of young people and brought tremendous changes to people's lives. Based on this, this paper studies a real estate virtual e-commerce model based on big data. In the study of this model, this paper combines the advantages of e-commerce and virtual communities to design a more effective virtual e-commerce model. The analysis of e-commerce and virtual communities shows that the virtual e-commerce model designed in this paper is a more effective model, and the real estate virtual e-commerce model based on big data technology can serve the real estate industry. Do a good job in the sales reform of the real estate industry.

2021 ◽  
Vol 33 (6) ◽  
pp. 1-16
Author(s):  
Delong Zhu

The sudden attack of the new crown virus in 2020 has brought an unprecedented impact on the real estate market economy and has completely disrupted people's work and life rhythm! With the rapid development of the Internet, the Internet has penetrated into all aspects of people's lives. As soon as e-commerce was introduced, it was loved by the majority of young people and brought tremendous changes to people's lives. Based on this, this paper studies a real estate virtual e-commerce model based on big data. In the study of this model, this paper combines the advantages of e-commerce and virtual communities to design a more effective virtual e-commerce model. The analysis of e-commerce and virtual communities shows that the virtual e-commerce model designed in this paper is a more effective model, and the real estate virtual e-commerce model based on big data technology can serve the real estate industry. Do a good job in the sales reform of the real estate industry.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Daniel Piazolo ◽  
Utku Cem Dogan

PurposePrevious research on automation and job disruption is only marginally related to the real estate industry and its characteristics. This study investigates the effects of digitization on jobs in German real estate sector, in order to assess the proportion of jobs threatened to be replaced by automation. Since Germany is the largest EU economy insights for the German real estate market allow a first approximation for Europe.Design/methodology/approachAn extensive database of the German Federal Employment Agency containing job definitions and occupation titles is matched with real estate criteria to create a subset with the relevant real estate occupations. This data is combined with a database of the German Institute of Employment Research reflecting to what extent tasks within jobs can be automated by current technical capabilities.FindingsFor the 286 identified occupations within the real estate sector a weighted average of 47 percent substitution probability through current technological capabilities is derived for tasks within the examined occupations.Practical implicationsThis contribution indicates the extent of the structural change the real estate sector has to face due to digitization: One out of two real estate jobs will have to be re-created.Originality/valueThis research quantifies the magnitude of the job killer aspect of digitization in the real estate sector.


2021 ◽  
Vol 4 (3) ◽  
pp. 73-75
Author(s):  
Ruoke Hu ◽  
Fangke Li

In recent years, due to the rapid development of the real estate industry in China, land speculation has begun in addition to the significant growth in economy. However, this rapid development has led to an extreme rise in housing prices, largely owing to high property tax. This article analyzed the impact of property tax on the development of real estate industry and provided countermeasures.


Author(s):  
Emna Cherif

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.


2016 ◽  
Vol 04 (01) ◽  
pp. 1650003 ◽  
Author(s):  
Yeqiang WANG

Under the economic “new normal”, the real estate industry experiences a transition from seller’s market to buyer’s market; the construction of indemnificatory housing becomes the main approach of macroeconomic control; the source of real estate funds turns from single credit to diverse financing; the mechanism of macro control gradually becomes market-oriented and the development mode gradually turns pluralistic. At the same time, the real estate industry is facing challenges from local debt crisis, tax reformation, online businesses and transformation of production mode. However, this paper proposes that there’s no fundamental alternation in the basic aspects of macroeconomy that supports China’s real estate development, and the “new normal” of China’s real estate market should be led by reformation and innovation.


2004 ◽  
Vol 48 (1) ◽  
Author(s):  
Susanne Heeg

Mobilization of the real estate market? Financial market and real estate economy. Since the late 1980s the real estate industry in Germany is transforming from a locally embedded industry towards an internationally oriented one. In this article it is asked how this fundamental change was possible and how the internationalisation is taking place and is coordinated. A starting point of the internationalisation is the deregulation of the national financial system which resulted in a mobilisation and professionalisation of real estate agents. After describing the changes in the politicoinstitutional embedding of the real estate market, the restructuring of networks and its effects upon spatio-economic patterns is analysed. By dividing the real estate market in an user, land, developer and investment market it is possible to show different degrees of internationalisation in the markets and the interdependency of the different market agents upon each other. It is claimed that the financial deregulation is a central motor in transforming the spatial orientation of the agents.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Qing Liu

At this stage, broadening the consumer market, upgrading the consumption system and gradually establishing a consumption-led development concept are key factors in promoting high-quality economic development. At the same time, China's macro economy is also experiencing another test. The rapid development of China's real estate market in recent years has attracted a large number of investors, and real estate prices have produced irrational and substantial increases. Behind the boom of the real estate market is a social system crisis driven by profiteering and the growing seriousness of real estate financial bubble. So exploring the mechanism of the influence of real estate prices on the upgrading of residents' consumption is important for the current stage of China. Therefore, it is important to investigate the mechanism of real estate price impact on consumer upgrading for the coordinated development of real estate industry and national economy. In this paper, we analyze and examine the theory on the consumption improvement by the literature survey method. We also summarize the present research on the correlation and the influence mechanism of the real estate price and the consumption improvement and choose the index which reflects the present state of the real estate industry and the consumption of the inhabitant. Besides the input indicators that qualitatively manage the impact of housing prices on the improvement of residents' consumption, we first use the descriptive statistics method to understand the level of the Chinese real estate market and improve consumer spending. Based on this, the descriptive statistical method is applied to define the current state of China's real estate market and the level of improvement in consumption, and to define the standard for improving consumption in China. On the other hand, based on the spatial and spatial spillover points of view, we use spatial analysis framework combined with exploratory spatial data analysis and GIS to investigate spatial correlation between consumption structure and housing price, and accurately reflect the spatial clustering status of the index by drawing. Moran dispersion plot and Lisa cluster plot, then the spatial Darwinian model, are used to investigate the impact of real estate prices on the increase in occupant consumption from a macro perspective.


Author(s):  
Ke Ma ◽  
Yichuan Zhang ◽  
Zhongxuan Yang ◽  
◽  

With the rapid development of the real estate market, real estate evaluation is becoming more and more important and active. The real estate is now evaluated according to the expertise and experience of the appraiser. The evaluation results are often influenced by the subjective randomness of the evaluation personnel and the complicated and changeable environmental factors. It is not only a professional technology, but also a complicated art. Therefore, how to improve the scientific, accuracy and efficiency of real estate evaluation has become an important issue that needs to be studied and solved in the real estate evaluation industry. This paper takes mass real estate evaluation system as the research object, adopts the BP neural network to research the design principles of the evaluation system and the design method of the model, and designs and develops the mass intelligent evaluation system to improve the intelligence, scientific, accuracy and credibility of the evaluation system.


2013 ◽  
Vol 689 ◽  
pp. 444-447
Author(s):  
Jia Li Yang ◽  
Ying Peng ◽  
Yu Shui Chen

With the rapid development of economic globalization, the competition of the real estate enterprises is increasingly fiercer, and the real estate market changes from seller's market to buyer's market; moreover, requests for technology, scale, function of the construction project, etc. is being more advanced, all of which put forward higher demand to real estate enterprises. Under this background, real estate enterprises must set up a more scientific and more normative management procedure to improve their competition; moreover, Lean Construction is an advanced construction system. It can improve the efficiency of construction, and realize enterprises' own goals finally. It is proved that Lean Construction is advanced and feasibility and it will be the direction of the construction development in the future. This essay defines Lean Construction and introduces some background information of Chinese real estate market at first, then puts forward three measures for improving the competitiveness of real estate enterprise; last but not least, this essay studies on the improvement of enterprise competitiveness based on the idea of Lean Construction from three aspects.


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