Artificial Intelligence (AI) and Employee Adaptation: Development and Validation of a New Scale

Abstract

This study aimed to develop a valid and reliable measurement tool to measure employees’ awareness perceptions of AI integration and employee adaptation. In the first stage of scale development, in-depth interviews were conducted and a suggestion pool of 40 items was created as a result of content analysis. In the second stage, a draft item was created and the scale was structured by consulting expert opinions in order to ensure semantic, face and content validity. In the last stage, the scale was evaluated and a draft scale of 30 items was created. The draft scale was applied to 281 people working in the information technologies, education and customer service sectors. As a result of the analyses, it was determined that the scale had a one-dimensional structure and consisted of 6 items. Confirmatory factor analysis showed that the scale had an acceptable level of fit. According to the CFA results, it was seen that the factor loadings of the remaining 6 items in the scale were higher than 0.40 and the t values of all items were significant. The Cronbach Alpha coefficient for the entire scale was found to be 0.94 and the item-total correlation for all items was found to be higher than 0.30 (between 0.76 and 0.89). According to the validity and reliability analysis findings, the AI Integration and Employee Adaptation Scale was found to be a reliable and valid scale with its 6 items and one-dimensional structure.