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Ulayya, Jihan; Bayangkara, Agasta Veda; Ramawati, Diah Bintang; Lintang, Queendira; Damayanti, Citra +1 more

Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN) 2025 FEB Universitas Maritim Semarang

The purpose of this study was to see how promotions and live streaming features impact the decision of Shopee users to purchase fashion products in the 2022 intake. This quantitative study involved 54 respondents from a population of 117 students selected through a simple random sampling method. Primary data were collected through online questionnaires and analyzed using multiple regression using SPSS. Validity, reliability, classical assumptions, and hypothesis tests were also conducted. The study shows that students of Economics Education, Sebelas Maret University, 2022 intake significantly choose fashion products because of promotions and Shopee's live streaming features. Promos are considered to be able to save consumer spending, thus increasing interest and enthusiasm for transacting through the Shopee application. Meanwhile, the live streaming feature makes it easier for consumers to see products directly, assess quality, and make purchases more practically. As for further researchers, it is recommended to add other variables (for example, consumer trust), compare with other e-commerce platforms, use mixed methods, analyze different user segments, and examine the long-term impact on brand loyalty.

Nur Riana, Isna; Pamikatsih, Tri Ratna

Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN) 2024 FEB Universitas Maritim Semarang

This study aims to determine the influence of online customer reviews, online customer ratings, and live streaming features on the purchase decisions of fashion products on the Shopee marketplace in the Surakarta region. This research was conducted in October 2023. The number of samples in this study was 147 respondents from Shopee users in Surakarta. Sampling is done using the purposive sampling method. The data collection technique used in this study is the quantitative method of distributing questionnaires online through social media. Multiple regression is the analysis method used in this study. The results of this study show that online customer reviews, online customer ratings, and live streaming features partially have a significant positive influence on the purchase decisions of fashion products in Surakarta.