Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Innovative: Journal Of Social Science Research Journal of Business and Information System
Christina, Kezia Dantya
Unknown Affiliation
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice Public Health Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Analisis Pengaruh Brand Awareness, Lokasi, dan Promosi Terhadap Minat Beli pada Minimarket Tasco di Tasikmalaya Mutia, Marsya; Christina, Kezia Dantya; Arsy, Abdillah; Al-Ayyubi, Muhammad Shalahudin; Maesaroh, Syti Sarah
Innovative: Journal Of Social Science Research Vol. 4 No. 3 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i3.11093

Abstract

Memahami minat beli konsumen sangat penting dalam dunia ritel yang kompetitif saat ini, terutama untuk minimarket seperti Tasco Minimart di Tasikmalaya, Indonesia. Tujuan dari penelitian ini adalah untuk menilai dampak dari pengenalan merek, penentuan posisi strategis, dan promosi terhadap minat beli konsumen di Tasco Minimart. Metode penelitian ini menggabungkan penelitian deskriptif dengan pendekatan kuantitatif. Data dikumpulkan melalui kuesioner yang diberikan kepada pelanggan Tasco Minimart. Temuan menunjukkan bahwa pengenalan merek dan promosi memiliki pengaruh yang cukup besar terhadap minat beli konsumen, namun tidak demikian halnya dengan faktor geografis. Penelitian ini membantu untuk lebih memahami perilaku pelanggan dalam situasi persaingan minimarket dan menawarkan wawasan untuk taktik pemasaran.
AI-Driven customer engagement in Tokopedia: Satisfaction mediation on chatbot and recommendation system based on UTAUT Christina, Kezia Dantya; Maesaroh, Syti Sarah; Ar Ridlo, Muhammad Dzikri
Journal of Business and Information Systems (e-ISSN: 2685-2543) Vol. 7 No. 2 (2025): Journal of Business and Information Systems
Publisher : Department of Accounting, Faculty of Business, Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jbis.v7i2.326

Abstract

Artificial intelligence (AI) technologies, including chatbots and recommendation engines, are reshaping customer interaction in digital marketplaces, yet their ability to directly enhance engagement remains uncertain. This research examines the impact of Tokopedia’s AI-driven features, including the TANYA chatbot and automated product recommendations, on customer engagement, with satisfaction serving as an intermediary construct. Employing a quantitative explanatory design, data from 204 Tokopedia users in Jabodetabek were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) with SmartPLS 4.0. The results reveal that chatbot interaction and recommendation systems do not directly strengthen engagement, but both significantly improve satisfaction, which in turn enhances engagement. Satisfaction also mediates the effects of the chatbot and recommendation system on engagement. The findings confirm that AI influences engagement indirectly through user satisfaction, extending the UTAUT model by emphasizing satisfaction as a crucial psychological link in AI-driven e-commerce behavior
Co-Authors Al-Ayyubi, Muhammad Shalahudin Ar Ridlo, Muhammad Dzikri Arsy, Abdillah Maesaroh, Syti Sarah Mutia, Marsya