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Risk Identification In Game Supply Chain And Research On Game Supply Chain Risk Contagion

Posted on:2023-01-20Degree:MasterType:Thesis
Country:ChinaCandidate:J L LiFull Text:PDF
GTID:2557306767985999Subject:Business management
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In recent years,as an important pillar of the new digital economy,the game industry has developed vigorously,presenting a prosperous state.When facing risks,the game supply chain is often hindered by insufficient external information in the supply chain or the complex environment,which makes it difficult for risk factors to be quickly identified and actively dealt with.With the continuous development and improvement of big data technology,the availability of external data in the supply chain has gradually increased.The external data of the supply chain reveals the potential disasters and uncertainties in the external environment.The use of big data technology is expected to discover potential risk factors from the external data of the supply chain as soon as possible.At the same time,as a light asset-operated supply chain,the degree to which game supply chain members are affected by risks is closely related to the type of asset portfolio.Participants in different game supply chains will connect with other participants in the game supply chain of operating similar assets or products,forming a complex risk contagion network.The individual risk faced by a single game supply chain participant will spread to other game supply chain participants through a complex infection network,and eventually develop into a systemic risk.In this context,this article studies the risk identification and infection mechanism in the game supply chain.First,this article collects large quantities of external data from the game supply chain,uses natural language processing methods to extract information related to risks in the game supply chain from a large amount of semi-structured and structured data,and then further integrates and summarizes the establishment of a risk database on the game supply chain.,And used the text classifier to identify and predict the risk points in the game supply chain.Secondly,in order to prevent individual risks faced by individual game supply chain participants from spreading to other game supply chain participants through complex infection networks and eventually developing into system risks,this article uses complex network theory to build a game supply chain risk propagation model and analyze the game supply chain Contagion mechanism of risk.At present,the related research on the game supply chain is still relatively limited,and this research is expected to supplement the existing research gaps.By identifying risks in the game supply chain and clarifying the risk transmission path mechanism between game supply chain participants,this research helps maintain the stability and security of the game supply chain and provides enlightenment for enhancing the risk resistance of the game supply chain.
Keywords/Search Tags:Game supply chain, Risk identification, Risk contagion, LSTM classifier, CoVaR, Complex network theory
PDF Full Text Request
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