Enterprise AI Analysis
AI Acceptance, Job Insecurity, and Resistance to Change: Impacts on Innovative Work Behavior
Published: 05 March 2026, ICDEIT 2025: International Conference on Digital Economy and Information Technology
This research explores how AI acceptance can mitigate the negative impacts of job insecurity on innovative work behavior, mediated by resistance to change, drawing on survey data from 350 hotel employees in China.
Executive Impact & Key Findings
Rapid technological advancements and global economic instability are intensifying job insecurity, threatening employee innovation. This study, grounded in Conservation of Resources Theory, reveals that AI acceptance can buffer the adverse effects of job insecurity on innovative work behaviors by reducing resistance to change, offering a critical pathway for organizations to foster innovation in the era of AI.
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of current jobs estimated to be displaced by 2027 due to AI (World Economic Forum), intensifying job insecurity.
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Hotel Employees Surveyed in China, forming the core data for this study.
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
Market Trends
Methodology
Core Findings
Actionable Insights
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of current jobs estimated to be displaced by 2027 due to AI, intensifying job insecurity.
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Hotel Employees Surveyed in China, forming the core data for this study.
Impact Pathway of Job Insecurity on Innovation
Job Insecurity
→
Resistance to Change
→
Lower Innovative Work Behavior
Perceived Acceptance of AI moderates the links between Job Insecurity and Resistance to Change, and Resistance to Change and Innovative Work Behavior, reducing negative impacts.
| Relationship | With Low AI Acceptance | With High AI Acceptance |
|---|---|---|
| Job Insecurity → Resistance to Change | Stronger positive correlation (simple slope = 0.36, p < 0.01) | Weaker positive correlation (simple slope = 0.15, p < 0.01) |
| Indirect Effect on Innovative Work Behavior (via Resistance to Change) | More pronounced negative indirect effect | Diminished negative indirect effect |
Implementing AI for Workforce Resilience and Innovation
The study highlights that job insecurity significantly inhibits innovative work behavior by increasing resistance to change. This is critical for organizations relying on innovation for competitive advantage.
However, employees' perceived acceptance of AI serves as a protective factor. By fostering a positive view of AI and investing in relevant training, organizations can empower their workforce to adapt to technological changes, mitigate job insecurity-induced stress, and thereby enhance innovative behaviors.
This implies a need for strategic human resource initiatives that focus on AI literacy, skill development, and psychological support during AI adoption, transforming potential threats into opportunities for growth and innovation.
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Estimated Annual Savings
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Reclaimed Annual Employee Hours
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Your AI Implementation Roadmap
A typical journey to integrate AI and foster a resilient, innovative workforce, inspired by research findings.
Phase 1: AI Readiness Assessment & Education
Conduct an organizational assessment of AI literacy and acceptance. Implement training programs to improve perceived usefulness and ease of use of AI tools, directly addressing initial resistance to change.
Phase 2: Pilot Programs & Skill Development
Initiate small-scale AI pilot projects. Focus on roles where AI can augment rather than replace, providing hands-on experience. This builds competence and reduces job insecurity through skill enhancement.
Phase 3: Strategic Integration & Support Systems
Scale successful pilots across departments. Establish robust psychological and emotional support systems for employees, especially those impacted by job shifts, reinforcing perceived AI acceptance as a resource.
Phase 4: Continuous Innovation & Feedback Loop
Foster an environment for continuous learning and adaptation. Regularly solicit employee feedback on AI tools and processes to refine strategies, ensuring AI integration actively supports innovative work behaviors.
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