Özet:

The main problem of the study is that new technologies are studied by taking into account the effects of the COVID-19 epidemic of factors affecting user acceptance and user satisfaction. In the model established in accordance with the objectives and objectives of the study, the technology acceptance model (TKM) is often used in the research of the acceptance of new technologies. In addition, the detected (Supply) Security variable, adapted to the epidemic period in order to make the effect of COVID-19 more clearly understood, has been added to the research model in order to measure the customer satisfaction along with TKM. Since the structure of the model examined the interaction of several variables with each other, the study used structural equality modeling. For the analysis of the structural equality modeling, the Smart PLS 3 program, which exists in literature, was used. The route analysis of the existing variables in the model of the study was carried out with the cronbach's alpha values, average variance value (AVE), factor loads and the necessary requirements for the result of composite reliability, reliability and validity analyses made with the Smart PLS 3 program. Of the hypotheses that the study contained, there was no meaningful relationship between H8 alone, detected usability (ACC) and usability intention (KN). Other hypotheses are accepted. Customer satisfaction, an important point in the study, has been positively influenced by the users’ active use of these applications and the delivery security they perceive. Customer satisfaction is affected by the most perceived delivery security. The final consumer has reached the conclusion that in his daily shopping through mobile applications during the COVID-19 epidemic process, he has taken attention to the subject of "Defense".