When employee meets AI: Research on employee-AI collaboration’s construct measurement, antecedent configuration and influence mechanism

Key Points

• This research aims to explore different employee-AI collaboration modes and their antecedents, as well as their impacts on work performance and employee well-being.
• Identified four collaboration modes: enhanced, symbiotic, supportive, and substitutive, using a developed measurement scale.
• Utilized social technical systems theory to analyze influencing factors from employee, AI, task, and organization perspectives.
• Applied cognitive-emotional systems theory to propose intervention strategies for optimizing collaboration.
• Developed a framework that categorizes employee-AI collaboration modes and details their specific impacts.
• Identified significant contributing factors influencing various collaboration modes and their effectiveness.
• Proposed targeted interventions that enhance work performance and employee well-being through effective collaboration modes.