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The relationship between trends in technology use and repurchase intention
International Journal of Data and Network Science ; 7(1):449-456, 2023.
Article in English | Scopus | ID: covidwho-2202640
ABSTRACT
Technology use to buy products online as a new innovation on marketing is significantly influencing the buyer's behavior in marketing and important to understand. The way suppliers present their product is interesting, especially to encourage people repurchase from their shops. The purpose of the study is to explore the relationship between advertisement, promotion, and lifestyle towards repur-chase intention of the university students doing online shopping at e-commerce Shopee platform during the pandemic of COVID-19. The study uses a quantitative method for research. The data were collected using an electronic questionnaire on Microsoft Forms from 212 university students who used the e-commerce Shopee platform during the COVID-19 pandemic to shop. The purposive sampling method was used to collect the data from all the students. SEM-AMOS was used to analyze the data. The results indicated as follows the advertisement variable has no significant effect on repurchase intention. Promotion and Lifestyle variables have a significant effect on the repurchase intention of university students at Jabodetabek area in shopping online at Shopee during the COVID-19 pandemic. From this study we can conclude that technology to advertise products has no relationship with repurchase intention of students while promotion and lifestyle has a significant relationship for students to repurchase products in the transformation of new normal activities in Indo-nesia. © 2023 by the authors;licensee Growing Science, Canada.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: International Journal of Data and Network Science Year: 2023 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: International Journal of Data and Network Science Year: 2023 Document Type: Article