Which One Should We Click? E-Commerce Platforms from a Consumer Perspective: A Study on Türkiye

Authors : Ahmet GÜRBÜZ, Murat AKSU

Pages : 135-145

Doi:10.48145/gopsbad.1253469

View : 24 | Download : 21

Publication Date : 2023-06-28

Article Type : Research Paper

Abstract :Increasing competition and the global epidemic of Covid-19, which shook the world deeply, increased the rate of use of electronic commerce insert ignore into journalissuearticles values(e-commerce); and put companies on an inevitable path. The purpose of this article is to determine the factors affecting the positioning of e-commerce platforms from the consumer perspective and to show the positions of e-commerce platforms operating in Türkiye from the consumer perspective through the help of perception maps. Qualitative and quantitative methods are applied in the research. A qualitative study was first conducted to determine the factors that are important in the branding of e-commerce platforms. Using the data obtained from this study, a questionnaire in which appropriate statements for the scale to be used in quantitative research were included scale was prepared. As a result of the data obtained by applying the prepared questionnaire scale on the target group, the dimensions were determined, and the final questionnaire practice was made to reveal the perception maps. Within the scope of the dimensions formed as a result of the survey practice, the positions of e-commerce platforms are shown through the perception maps. In the study, explanatory factor analysis was used to determine the factors affecting the positioning of e-commerce platforms. As a result of the analysis, a 7-dimensional structure emerged. However, since the factors should be clear in the perception maps, the structure has been handled in 10 dimensions, and perception maps have been created for 9 e-commerce platforms operating in Türkiye.
Keywords : E Ticaret Platformları, Konumlandırma, Algı Haritaları, Çok Boyutlu Ölçekleme, E Commerce Platforms, Positioning, Perception Maps, Multidimensional Scaling