Research Article

[Retracted] An Intelligent Digital Media Asset Management Model Based on Business Ecosystem

Table 1

Variables in the system flow chart.

Variable typeThe number of variablesVariable names

State variable4The stock of content assets on the platform, the number of content assets utilized, profitability of platform participants, the value positioning ability of platform participants
Rate variable5The increase of the number of content assets, content assets utilization increment, platform participants' income, platform participants' input, the cognition degree of platform participants to user requirements
Auxiliary variable30Degree of sharing of content asset, the amount of content asset integration, the amount of content asset innovation, content asset innovation rate, the amount of content asset flow, content assets acquisition rate, content asset flow rate, content asset utilization rate, content asset utilization capability, relevant industry support, digital content assets value increment, content asset integration capability, degree of standardization of content assets, business process management capabilities, digital media asset management capability, the rationality of cooperation performance distribution, digital media asset management investment, digital media asset management investment rate, stakeholders' willingness to collaborate, the intensity of the platform operation input, the intensity of digital media asset management technology input, the quality of content products and services, user satisfaction, user requirements, value realization environment, technology environment, policy environment, social environment, media organization environment, average content asset price
Constants3Platform participants' other incomes, platform participants' other inputs, the intensity of manpower input