In the study examining the effects of academics' demographic characteristics in the field of sports science on technology acceptance and use, a correlational survey model was used within a quantitative research approach. The study population comprises academics working in sports science in Turkey, and the sample group consists of 374 academics selected via simple random sampling. During the data collection phase of the study, the “Personal Information Form” created by the researchers and the “Teachers Technology Acceptance and Use Scale (TTAUS)”—an extension of Davis's (1989) “Technology Acceptance Model (TAM)” that incorporates external variables as proposed by Ursavaş (2014)—were utilized. In the analysis, the t-test and one-way analysis of variance (ANOVA) were used because the normality assumptions were met. According to the data obtained, no significant differences were found by gender or duty area, whereas significant differences were observed in the overall scale and some sub-dimensions, driven by variables such as age, years of service, department, in-service training, and the number of technological tools and equipment used. According to the technology use level variable, significant differences were found across all sub-dimensions of the scale. In conclusion, it has been determined that demographic variables influence the acceptance and use of technology among academics working in sports science, and that the level of technology use affects all factors. This situation illustrates that proficiency in technology use is a significant factor influencing academics’ acceptance and adoption of technological tools.
Gayretli et al. (Thu,) studied this question.