Information System Analysis and Building for Integrated Real Estate Business Management in Real Estate Market

Esse artigo consiste em uma análise específica do mercado imobiliário de São Paulo, maior e mais representativa cidade do Brasil. O objetivo deste trabalho é encontrar fatores que influenciam nas vendas de imóveis no município. Por meio de estudos encontrados na literatura buscaram-se variáveis envolvidas no mercado imobiliário em geral. Após a escolha das variáveis, calculou-se uma matriz de correlação, e, a partir de então, realizou uma regressão linear múltipla somente com as variáveis significativamente correlacionadas. Por fim, conclui-se que as variáveis valor da carta de crédito do Sistema Brasileiro de Poupança e Empréstimo (SBPE) e o valor da Taxa do Sistema Especial de AbstractThis article consists of a specific analysis of the real estate market of São Paulo, the biggest and most representative city in Brazil. The aim of this study is to find factors that has influence in home sales on this city. Through studies in the literature,we sought to variables involved in the real estate market in general. After the choice of variables, we calculated a correlation matrix, and from then,we conducted a multiple linear regression with only significantly correlated variables. Finally, it is concluded that the 2 variables value of letter of credit Brazilian Savings and Loan System (SBPE) and the value of the Special Settlement and Custody System (SELIC) rate explain 74.34% of real estate sales in São Paulo between 2004 and 2015.

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“…Já o tipo de contrato consta-se o mercado de compra e aluguel (BRAUER, 2011;ELMETWALY, 2011;SANFELICI, 2013).…”

Section: Mercado Imobiliáriounclassified

“…As construtoras e incorporadoras estão atentas às flutuações do mercado, para então buscar investimentos e disponibilizar imóveis, cultivando uma rede de compra e venda desses bens de consumo, imóveis (ELMETWALY, 2011;SANFELICI, 2013).…”

Section: Mercado Imobiliáriounclassified

Mercado Imobiliário Paulistano: Interferência Dos Indicadores Econômicos Nas Vendas De Imóveis Residenciais

Moro

Vincenzi

Flores

et al. 2017

P&P

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“…In addition, the artificial neural network method and econometric models have been widely applied to forecast and analyze the economic situation in real estate market [3]- [4]. Up to now, many scholars have theoretically studied the indexes of early warning system [5]- [12], but few have focused on the implementation of the system [13]- [14], in that there are some difficulties to develop early warning system.…”

Section: Introductionmentioning

confidence: 99%

Early Warning and Monitoring System of the Economic Situation in Real Estate Market

Han¹,

Dai²,

Zhang³

2013

JSW

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Currently, many scholars have theoretically studied the early warning index of real estate market, but few have focused on the implementation of the system. Our study provides a system for early warning and monitoring the economic situation in real estate market. We construct a boom index for China’s real estate market based on the state space model. In particular, we provide users with intuitive graphical interface, which helps regulators distinguish the economic situation of real estate market in a scientific and convenient way. In addition, the system implementation includes some key technologies, such as model-solving, conversion and fusion among multi-data sources, cross-language invoking and hybrid programming.

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“…The database application that is commonly used are such as Microsoft Access, Microsoft SQL Server, Oracle Database, or MySQL. The process of software development always requires to establish more and more effort in society to achieve the desired ends and attempt to simplify operations and reduce the time and effort in achieving the outcomes (Elmetwaly, 2011).…”

Section: Ajeasmentioning

confidence: 99%

Managing Waste Elimination Database in Lean Manufacturing: Improve Problem Solving Capability

Puvanasvaran¹

2014

American Journal of Engineering and Applied Sciences

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This study highlighted on managing the waste elimination database in lean manufacturing of the case study company. An application for managing the waste elimination database in lean manufacturing to improve the visual indicators and enhance the problem solving capabilities of the employees in the organization is introduced as the basic success factors to drive the process of continuous improvement culture forward. Ineffective database systems within the organization have caused the inaccurate, redundancy and inconsistency of data. Lean implementations are not successful because there is a lack of communication and involvement of all levels of employees. The study attempts to design an application in a personal database system to the employees at Lean department to keep track of the waste elimination database for analysis and evaluation purpose. Likewise, it's also examined the employees' problem solving capacity in waste eliminating project. Application in Microsoft Access is considered new in the case study company. The problems that faced are such as the human factors such as the fearful in changing and accepting IT systems and procedures. Application in Microsoft Access is considered new in the case study company. The employees in Lean department can easily keep track on the improvement projects and the management can monitor on the improvement task and problem solving capabilities of the employees. The visual indicators are improved because meaningful chart and reports are generated for visual and filling purpose. Besides, implementing the problem solving cycle in the designed application to improve the problem solving activities which is also an important element in creating continuous improvement culture. As the many factors such as human factors and skills in using the database application are affected the effectiveness of the designed application. The cost saving value after implementation the database application is difficult to obtain as some study subject are difficult to measure in term of cost.

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Information System Analysis and Building for Integrated Real Estate Business Management in Real Estate Market

Cited by 3 publications

References 6 publications

Mercado Imobiliário Paulistano: Interferência Dos Indicadores Econômicos Nas Vendas De Imóveis Residenciais

Mercado Imobiliário Paulistano: Interferência Dos Indicadores Econômicos Nas Vendas De Imóveis Residenciais

Early Warning and Monitoring System of the Economic Situation in Real Estate Market

Managing Waste Elimination Database in Lean Manufacturing: Improve Problem Solving Capability

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