When artificial intelligence becomes a job resource: how psychological capital fuels innovation in algorithm-driven...

Area of Science:

• Organizational Psychology
• Human Resource Management
• Technology Adoption

Background:

• Employee innovation is crucial for organizational success.
• Understanding the impact of Artificial Intelligence (AI) on employee behavior is essential.
• The role of psychological capital and error management culture in the AI adoption process requires further investigation.

Purpose of the Study:

• To examine the relationship between AI adoption and employees' innovative work behavior (IWB).
• To investigate the mediating role of psychological capital in the AI adoption-IWB link.
• To explore the moderating effect of perceived error management culture on this relationship.

Main Methods:

• Two-wave survey data were collected from employees.
• Statistical analyses were performed using SPSS 27.0 and Mplus 8.0.
• The study employed a "technology-psychology-behavior" framework, extending Job Demands-Resources (JD-R) theory.

Main Results:

• AI adoption positively influences employees' psychological capital.
• Psychological capital, in turn, positively impacts innovative work behavior (IWB).
• Perceived error management culture enhances the positive relationship between AI adoption and psychological capital, strengthening the indirect effect on IWB.

Conclusions:

• AI can be viewed as a job resource that fosters employee innovation.
• Psychological capital is a key mechanism through which AI adoption influences IWB.
• A positive error management culture is vital for maximizing the innovative potential of AI adoption.