The effect of generative artificial intelligence on managerial behavior across functions

GAI is becoming readily available and easily accessible for those who are willing to take advantage of it. As a result, the world is witnessing a transformation regarding how managers perform their daily tasks. This study aims to understand the relationship between managerial behaviors and how they are changing with GAI use at the interaction and automation base of managerial roles. We collected a sample of fifty participants and administered a survey to analyze whether they are utilizing GAI and experience performance increase, whether they are exposed to technostress and whether managers are willing to adapt to the technology. We created four constructs based on EFA analysis and looked for relationships between gender, degree of education, firm size, and managerial roles for target constructs. No significant relationship was found between these categories. A similarity in responses between managerial roles was observed, indicating that different job titles do not create a strong categorization. Overall, these results suggest that managerial behaviors in Turkey may not be subject to change with the introduction of GAI.