Value Chain
Analyzing generative content's impact on creative industries' value chains.
Data Collection
Gathering diverse datasets for comprehensive analysis and insights.
Value Analysis
Examining generative content's effects on industry value chains.
Case Studies
Validating impacts of generative content through real-world examples.
Validation Process
Confirming findings with typical case studies and analysis.
The expected outcomes of this research include:
Theoretical Contribution: Propose a theoretical framework for the reconstruction of the value chain of the creative industries by generative content, filling the research gap in this field.
Technical Contribution: Develop a set of efficient generative content value chain analysis tools, providing technical support for the digital transformation of the creative industries.
Social Impact: By analyzing the reconstruction effects of generative content on the value chain of the creative industries, help industry participants better adapt to technological changes and promote the sustainable development of the creative industries.
Policy Recommendations: Provide specific optimization suggestions for policymakers to promote the rational application of generative content in the creative industries. This research will deepen our understanding of generative AI technology and its societal impact, driving technology toward greater fairness and inclusivity.

