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ANALISIS PERKEMBANGAN START-UP SAYURBOX YANG TIDAK SESUAI DENGAN TARGET PASAR Zebua, Nimfa Kristiani; Laia, Devi Krisdayanti; Cibro, Elfi Juliana; Anastasya, Aisyah Afifah; Sirait, Nadia Theresia; Maulana, Ikhsan
Jurnal PLANS : Penelitian Ilmu Manajemen dan Bisnis Vol 16, No 1 (2021): JURNAL PLANS
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/plans.v16i1.52241

Abstract

Penelitian ini bertujuan untuk mengetahui perkembangan startup sayurbox yang tidak sesuai dengan target pasar. Metode yang dipakai pada penelitian ini adalah kualitatif. Hasil dari penelitian ini, pengaruh penurunan pertumbuhan sayurbox adalah ketidaksesuaian target pasar. Kurangnya promosi dan branding sayurbox dalam meningkatkan kesadaran merek dan menarik lebih banyak pelanggan potensial.
The Influence of Chatbot Usage and Product Recommendation Features on Customer Satisfaction in Shopee E-Commerce Sirait, Nadia Theresia; Saputra, Hendra
Economic: Journal Economic and Business Vol. 4 No. 3 (2025): ECONOMIC: Journal Economic and Business
Publisher : Lembaga Riset Mutiara Akbar (LARISMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/ejeb.v4i3.1134

Abstract

This study aims to determine the effect of Chatbot and Product Recommendation Features in increasing customer satisfaction in Shopee E-Commerce. This study uses a quantitative approach with a descriptive method. Data were obtained by distributing questionnaires to 97 respondents who were active students at Medan State University class of 2021 who had used Shopee. The data analysis technique used was multiple linear regression. The results of the study showed that Chatbot had a positive and significant effect on Customer Satisfaction, as did the Product Recommendation Feature which showed a positive effect. Simultaneously, both variables had a significant effect on Customer Satisfaction. This study provides implications that service quality and a relevant and trusted recommendation system can increase customer satisfaction on e-commerce platforms.