Artificial Intelligence Awareness Scale Development Study

Abstract

The aim of the study is to develop a valid and reliable measurement tool to measure employees' perceptions of artificial intelligence awareness. In the first stage of the three-stage scale development study, in-depth interviews were conducted. As a result of the content analysis of the data obtained from the interviews, a 41-item proposition pool was created. In the second stage, a draft of the items was created and the scale was structured by consulting expert opinions in order to ensure meaning, face and scope validity. In the last stage, the scale was evaluated and a 14-item draft scale was created. As a result of the pilot application conducted on 132 employees working in the healthcare sector using the draft scale, it was decided to remove one item from the scale. Then, the final scale consisting of 13 items was reached: 139 employees in the automotive sector and 152 employees in the logistics sector. As a result of the analysis, a 13-item one-dimensional scale emerged. The CFA server determined that the scale provided an acceptable level of fit. Cronbach's Alpha values were 0.834 in the healthcare sector; It was calculated as 0.810 in the automotive sector and 0.867 in the logistics sector, and the scale was found to be valid and reliable. The scale is an important measurement tool to be used to analyze individuals' awareness of AI in measuring the level of individual awareness, determining educational needs, conducting attitude analysis, developing policies and strategies, and academic research.

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