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Research On Risk Of Development And Utilization Of Government Housing Information Resources

Posted on:2014-01-05Degree:MasterType:Thesis
Country:ChinaCandidate:Q L LiFull Text:PDF
GTID:2249330398452959Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
Since1998, the housing market has been developing rapidly with housing monetization in China. Housing information resources and products become an important basis for consumers, real estate developers and other partners to consume, develop and so on. At the same time, Government has been holding mass housing information resources with authoritative, complete and timely, so development and utilization posses a very high potential value. However, due to the limitations of the policies, technical, socio-economic conditions, managements and other reasons, they were idle waste and not to maximize the role of market value. Therefore, the strengthening of government housing information resources development and utilization (GHIRDU) has important practical significance. In order to maximize the value of the government housing information, while avoiding the risks. This paper studies on the uncertainty from a risk management point of view, and proposes risk control system for GHIRDU.(1) Introduce the theories and practices of Government Information Resources Development and Utilization at home and abroad. Defined GHIRDU after analyze meanings of government information resources and development and utilization. Besides introduce the Risk Management theories, Bayesian Networks and Analytic Hierarchy Process which is related to research.(2) Summarize the workflow of GHIRDU through analyze GHIRDU activities by using Work Breakdown Structure (WBS), then divide it into three sessions according to the work contents before and after logic, find out the risk factors and consequences which may influence GHIRDU, at last listed the risk list of GHIRDU. (3) Use Bayesian Networks technology to build risk assessment model of GHIRDU. Fix the probability of risk factors by expert research, use AHP to fix risk factors weights, calculate the risk evaluation value. Besides utilize the inference function of Bayesian Networks to calculate the probability of the target node. At last analyze the risk factors which have a greater impact.(4) Build a risk control system based on risk management theories and analysis results from risk assessment model. Propose three coping strategies to control the risk of GHIRDU including mitigation, transfer and reception.
Keywords/Search Tags:Government Housing Information Resources, Risk Management, Bayesian Networks, Analytic Hierarchy Process
PDF Full Text Request
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