RETRACTED ARTICLE: From cognitive alignment to technological adaptation: understanding rural digital governance...

Area of Science:

• Rural Digital Governance
• Human-Data Interaction
• Sustainable Collaboration

Background:

• China's digitalization and rural revitalization drive digital transformation in governance.
• Artificial intelligence (AI) and big data integration necessitate AI-augmented human-data collaboration.
• Sustainable multi-stakeholder collaboration (SMC) is crucial for effective rural digital governance.

Purpose of the Study:

• Investigate determinants of SMC in rural digital governance.
• Propose strategies to enhance stakeholder synergy.
• Provide empirical basis for AI-supported human-data interaction in rural governance.

Main Methods:

• Grounded theory analysis of 26 semi-structured interviews.
• Structural equation modeling (SEM) validation with 1,370 questionnaire responses.
• Identification and validation of six key factors influencing SMC.

Main Results:

• Six factors identified: awareness intensity, technical adaptability, institutional completeness, scenario compatibility, interest relevance, and situational appeal.
• All six factors significantly promote SMC (p < 0.001).
• Awareness intensity and interest relevance demonstrated stronger positive effects on SMC.

Conclusions:

• Strategies proposed: enhance publicity, tiered training, data interoperability, public rights protection, optimized evaluation, and refined institutional frameworks.
• Research advances understanding of sustainable governance and digital technology implementation in rural China.
• Findings support adaptive and inclusive digital governance systems through AI-integrated human-data collaboration.