Research on predicting the driving forces of digital transformation in Chinese media companies based on machine learning
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View abstract on PubMed
Summary
This summary is machine-generated.Environmental factors are key to predicting the digital transformation of Chinese media companies. Stable economic policies and balanced digital infrastructure are crucial for overcoming industry barriers and promoting this critical shift.
Area Of Science
- Media Economics
- Digital Transformation Studies
- Business Management
Background
- Chinese media companies face significant opportunities and challenges in digital transformation.
- Evaluating business performance is central to media economics, but predicting digital transformation across diverse industry segments remains complex.
- Understanding multi-dimensional drivers is essential for navigating the evolving media landscape.
Purpose Of The Study
- To predict the digital transformation of Chinese media companies using machine learning.
- To analyze the specific modes and primary driving factors influencing this transformation.
- To apply the Technology-Organization-Environment-Innovation (TOE-I) framework to Chinese media firms.
Main Methods
- Utilized machine learning techniques for predictive analysis.
- Employed data from China's A-share-listed media companies spanning 2010-2020.
- Applied the Technology-Organization-Environment-Innovation (TOE-I) theoretical framework.
Main Results
- Environmental drivers demonstrated the highest effectiveness and accuracy in predicting digital transformation.
- Identified specific modes of key driving factors influencing the transformation process.
- Highlighted the predictive power of external environmental factors over internal organizational or technological ones.
Conclusions
- Stable economic and financial policies are vital for fostering digital transformation.
- Guiding inter-industry competition and ensuring equitable digital infrastructure are crucial for bridging internal industry divides.
- Media companies must prioritize policy shifts, economic viability, managerial decisions, and digital talent development during their transformation.
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