Factors Associated with AI Use in a Norwegian Sample

Area of Science:

• Organizational Psychology
• Technology Adoption
• Workplace Studies

Background:

• Artificial intelligence (AI) integration in the workplace is rapidly increasing.
• Understanding factors influencing employee AI adoption is crucial for effective implementation.
• Previous research often focuses on technical aspects, with less attention to organizational and leadership factors.

Purpose of the Study:

• To investigate predictors of self-reported workplace artificial intelligence (AI) use among Norwegian employees.
• To examine the association of demographic, job-related, and leadership variables with AI adoption.
• To explore the role of perceived strengths-based leadership (SBL) in explaining AI use.

Main Methods:

• Cross-sectional survey of 196 Norwegian employees.
• Hierarchical logistic regression analysis.
• Variables included education, job sector, gender, age, leadership role, perceived SBL, work training, and work engagement.

Main Results:

• Higher education, male gender, employment in knowledge-intensive sectors, and higher perceived strengths-based leadership (SBL) were significantly associated with increased odds of AI use.
• Age, leadership role, general work training, and work engagement were not significantly associated with AI use.
• Perceived SBL emerged as a potentially important organizational factor.

Conclusions:

• Organizational context, particularly perceived strengths-based leadership (SBL), may significantly influence workplace artificial intelligence (AI) adoption.
• Findings suggest that factors beyond individual demographics and job sectors are relevant to understanding AI use.
• Results are tentative due to the study's exploratory nature, cross-sectional design, and reliance on self-reported data.