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Research On The Enterprise's Crisis Forewarning Module And It's Application Under Network Environment

Posted on:2008-12-09Degree:DoctorType:Dissertation
Country:ChinaCandidate:Z P WangFull Text:PDF
GTID:1119360272466881Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
Each enterprise will find its daily occurrence to face risk and crisis in its existence and development. The widespread of Internet has offered a broad stage full of information transmission. On one hand, the enterprises have facilitated a perfect and individual service for both consumers and public with the aid of the technique of networks; on the other hand, Internet has been to some extent a hub of certain negative information on account of social disorganization. With the outbreak of crisis, Internet has played the role of accelerating fake information. Rumors run rampant before the truth has been seriously investigated and revealed to the public because the internet is"too fast".Therefore, a series of studies on the internet internet-based enterprise crisis forewarning theory must be strengthened and the active application and development of it will help the enterprises take timely preventions and control the crises accurately and effectively. It also helps the enterprises solve the crises in time. Consequently, the study on crisis froewaring theory has become a lasting and systematic topic in modern enterprise crisis management and drawn great attention in public.The main contents of this paper lie in:1, Construction of enterprise crisis froewaring system(ECFS). ECFS has been constructed structurally; it analyzes and designs the concerete function of separate module, puts forward the constructing formula of ECFS and analyzes the operating principles, circulating mode and working pattern.2, Study on the enterprises crisis forewarning monitoring module based on Intelligent meta-search engine. On the basis of analyzing enterprise crisis internet transmitting structure and transmitting process, it systematically analyzes and designs the froewaring monitoring working module and focuses on the intelligent meta-search engine consumering individual searching mode and implementing strategy of search engine optimization including search engine response speed, results volume, member search engine adjusting strategy and selective monitoring strategy based on result quality evaluation. 3, Study on enterprise crisis information evaluation mode based on 2-level froewaring principle. Level-1 froewaring evaluation ensures whether crisis is relied on the true information crisis and calculates the total froewaring degree; Level-2 targets at the internet rumors and also calculates the total froewaring degree. By buliding the 2-level froewaring mode, it designs the level-1 and level-2 index and analyzes the transmitting structure from the angle of information identification, information tracing and transmitting process. In the light of 2-level froewaring principles and application pattern recognition, it can foretell the froewaring degree of enterprise internet crisis and predict the development of enterprise crisis by applying grey system theory.4, Study on enterprise internet crisis evaluation implementation and optimization of froewaring decision-making. In a crisis, the enterprise will face many stakeholders, and the Internet crisis will have a great influence on them. Therefore, we need to adopt a multifunctional fuzzy comprehensive evaluation to value the related stakeholders, combining the multiple targets of enterprise crisis froewaring. When making decisions and draft choices, application of benchmarking method sounds a better one. By employing it, beneficiaries, rivals and enterprises can set up benchmarking standards; optimize the froewaring policies, improve the effectiveness and value of the enterprises and promote the long term development of the enterprises in the risky situation.
Keywords/Search Tags:Enterprise Internet Crisis, Enterprise Crisis Management, Crisis Froewaring System, Crisis Froewaring Monitoring Module
PDF Full Text Request
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