Yudi Nur Supriadi
Universitas Pembangunan Nasional Veteran Jakarta, Jakarta, Indonesia

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

Analysis of Purchase Decisions for Counterfeit Fashion Products in E-Commerce Jelita Puspita Wiyana; Iwan Kresna Setiadi; Yudi Nur Supriadi
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 8 No 1 (2025): Sharia Economics
Publisher : Universitas KH. Abdul Chalim Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v8i2.6261

Abstract

This research examines the impact of electronic word-of-mouth, Live Streaming, and Counterfeit Fashion Products, with Price acting as a moderator, on purchase decisions in Shopee e-commerce. The study employed SmartPLS SEM with 208 respondents. The findings reveal that Electronic Word of Mouth significantly positively influences purchase decisions by enhancing consumer trust and intentions. Counterfeit fashion products also positively impact purchase decisions, attracting consumers through affordable prices despite lower quality. Live streaming, as a promotional tool, significantly boosts purchase decisions by increasing consumer interest and trust through live demonstrations and real-time interactions. Price strengthens the relationship between interest in counterfeit fashion products and purchase decisions. These results highlight the crucial role of price, Electronic Word of Mouth, and live streaming in digital marketing strategies to drive purchase decisions in e-commerce.
The Effect of Capital Structure, Business Risk, and Asset Structure on Financial Performance: An Empirical Study of Automotive Companies Listed on the Indonesia Stock Exchange for the 2019–2023 Period Irmayanti Irmayanti; Yudi Nur Supriadi; Etty Nurwati; Sri Purwanto; Moeljadi Moeljadi
Dinasti International Journal of Education Management And Social Science Vol. 6 No. 4 (2025): Dinasti International Journal of Education Management and Social Science (April
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijemss.v6i4.4202

Abstract

This study aims to analyze the effect of capital structure (Debt-to-Equity Ratio/DER), business risk (Beta), and asset structure (Current Asset to Total Asset Ratio/CATA) on the financial performance (Return on Assets/ROA) of automotive companies listed on the Indonesia Stock Exchange during the 2019–2023 period. This research employs a quantitative approach utilizing secondary data. The population consists of all automotive companies listed on the Indonesia Stock Exchange from 2019 to 2023, with purposive sampling used to select the sample. The study applies Descriptive Statistical Analysis, Classical Assumption Tests, Multiple Linear Regression Analysis, t-test, F-test, and the Coefficient of Determination (R²). The results show that Beta and CATA have a positive and significant effect on the ROA of automotive companies in Indonesia, while DER does not have a significant effect. Simultaneously, the three independent variables (DER, Beta, and CATA) have a significant effect on ROA, with an Adjusted R² of 86.23%, reflecting the model's ability to explain the variability in financial performance. This study is original as it integrates the analysis of capital structure, business risk, and asset structure to provide a comprehensive assessment of financial performance in the automotive sector, while also updating the analysis period through 2023.
The Dark Side Of Artificial Intelligence-Based Personalization: Intrusiveness, Trust, And Consumer Resistance On E-Commerce Platforms Bonitian Rifiansyah; Yudi Nur Supriadi; Alfatih Sikki Manggabarani
JHSS (JOURNAL OF HUMANITIES AND SOCIAL STUDIES) Vol. 10 No. 02 (2026): JHSS (Journal of Humanities and Social Studies) (SI)
Publisher : UNIVERSITAS PAKUAN

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The development of Artificial Intelligence (AI) has encouraged companies to implement personalization strategies in digital marketing through e-commerce platforms and social media. Although AI-based personalization can improve consumer experience and marketing effectiveness, overly intensive personalization may also generate negative responses in the form of consumer resistance. This study aims to analyze the effect of AI personalization on consumer resistance by considering the mediating roles of perceived intrusiveness and customer trust. This study employed a quantitative approach using an explanatory research method. Data were obtained by distributing online questionnaires to 400 active users of digital platforms in Indonesia and were analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS). The results show that AI personalization affects perceived intrusiveness, customer trust, and consumer resistance. Perceived intrusiveness is proven to increase resistance behavior, whereas customer trust reduces resistance behavior. In addition, perceived intrusiveness and customer trust are able to mediate the relationship between AI personalization and consumer resistance, both partially and sequentially. This study shows that overly intensive AI personalization can generate intrusive perceptions, reduce consumer trust, and increase resistance to digital marketing. These findings contribute to the development of the literature on the dark side of AI-based personalization and provide input for companies in designing personalization strategies that are more balanced and oriented toward consumer comfort.