Citra Rahayu Indraswari
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THE INFLUENCE OF LIVE STREAMING AND DISCOUNTS ON PURCHASE DECISIONS AT TIKTOK SHOP Syarifah Azzahra, Annisa; Citra Rahayu Indraswari
Contemporary Studies in Economic, Finance and Banking Vol. 3 No. 3 (2024)
Publisher : Fakultas Ekonomi dan Bisnis Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/csefb.2024.03.3.02

Abstract

The purpose of this research is to find out how live streaming features and discounts influence TikTok Shop Generation Z consumers, who are domiciled in Jakarta and aged between 18 and 24 years in purchasing decisions. With a total of 270 respondents, this research uses quantitative methods, employing multiple linear regression analysis. The findings show that the live streaming features positively and significantly influence the purchasing decisions of TikTok Shop Generation Z consumers. Additionally, discounts also have a positive and significant influence on consumer purchasing decisions. Both live streaming features and discounts simultaneously influence the purchasing decisions of TikTok Shop Generation Z consumers in a positive and significant.
The Influence of Gross Regional Domestic Product, Unemployment, and Population on Poverty of Cities in East Java Salsabila, Fathiya Afini; Citra Rahayu Indraswari
Journal of Development Economic and Social Studies Vol. 4 No. 3 (2025)
Publisher : Fakultas Ekonomi dan Bisnis Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jdess.2025.04.3.15

Abstract

Poverty is still a widespread problem in developing countries, including Indonesia, which can occur especially in urban areas. To overcome poverty, it is necessary to understand the contributing factors and economic indicators that influence it, measured by various indicators. This study examines the impact of Gross Regional Domestic Product (GRDP), unemployment rate, and population on poverty rates in nine cities in East Java from 2017 to 2023. This study analyses how GRDP, unemployment rate, and population contribute to poverty rates in these areas over a specified period. This study uses secondary data from the East Java Central Bureau of Statistics (BPS), focusing on a sample of nine cities in the region. Using panel data analysis, the Ordinary Least Squares (OLS) method and the classical assumption test. The study results reveal a significant relationship between GRDP and, unemployment rates on poverty rates, indicating that economic growth and employment status are closely related to poverty. In contrast, population size does not show a significant effect on poverty.