The moderating role of general attitude toward artificial intelligence in the effect of job stress on proactive behavior

The aim of this study is to examine the moderating role of general attitude toward artificial intelligence in the effect of job stress on proactive behavior, based on Affective Events Theory. The sample of the study consisted of healthcare professionals. The data were collected at two different times using a convenience sampling method and a longitudinal research design; data from 205 participants were analyzed using simple linear regression and the PROCESS Macro (Model 1). The results of the analysis showed that general attitude toward artificial intelligence had a moderating role in the relationship between job stress and proactive behavior. This study contributes to the development of Affective Events Theory through an AI-based theoretical perspective. Another original aspect of this study is the use of an artificial intelligence-based analysis approach. In this respect, the study further contributes by comparing the results of traditional analysis methods with those of artificial intelligence-based approaches.