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Ika Diyah Candra Arifah
Contact Email
ikaarifah@unesa.ac.id
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+6282110736474
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jdbim@unesa.ac.id
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G2 Building Floor 1 Faculty of Economics and Business Universitas Negeri Surabaya Campus Ketintang Surabaya 60231
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Kota surabaya,
Jawa timur
INDONESIA
Journal of Digital Business and Innovation Management
Published by Universitas Negeri Surabaya
ISSN : -     EISSN : 29623898     DOI : 10.2670
Core Subject : Science,
Decision Sciences, Operations Research & Management Library & Information Science
Journal of Digital Business and Innovation Management (JDBIM) is a new, Open Access journal from Universitas Negeri Surabaya that aims to publish original research articles, reviews, and reports on the digitalization of business and management, how digital technologies can innovate the business, and what this means for the future of work. The journal will encourage submissions from diverse fields and areas of practice, from business, economics, marketing, and potentially computer science and information technology management. JDBIM publish twice a year (June and December).
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Menejemen Teknologi dan Inovasi
Articles 62 Documents
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Examining the Impact of User Experience, Electronic Word of Mouth, and Brand Trust on Purchase Intention among Generation Z Consumers of Local Skincare Products via TikTok Shop in Indonesia Rohmah, Fadia Nur; Andarini Indarwati, Tias
Journal of Digital Business and Innovation Management Vol. 4 No. 2 (2025): December 2025-Article in Press
Publisher : Universitas Negeri Surabaya

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Abstract

This study aims to examine the influence of user experience, electronic word of mouth (eWOM), and brand trust on the purchase intention of Generation Z consumers of local skincare products via TikTok Shop in Indonesia. The “Doctor Detective” phenomenon highlights the importance of active ingredient transparency and digital reviews, with eWOM playing a key role in shaping consumer perception and trust. Within the social commerce framework of TikTok Shop, user experience includes ease of navigation, visual appeal, and emotional engagement. As active and critical digital consumers, Gen Z increasingly relies on community-based recommendations. Guided by the Theory of Planned Behavior (TPB), this research offers strategic insights for local skincare brands to enhance user experience, strengthen brand trust, and leverage eWOM to effectively drive purchase intention in the digital.
A Systematic Literature Review on Artificial Intelligence Features Driving Purchase Intention on Web Commerce: Insights into Customer Experience and Trust Using Python-Based Analysis Siska Erliana
Journal of Digital Business and Innovation Management Vol. 4 No. 2 (2025): December 2025-Article in Press
Publisher : Universitas Negeri Surabaya

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

Abstract

This study presents a Systematic Literature Review (SLR) exploring how artificial intelligence (AI) features influence purchase intention on web commerce platforms, with a focus on customer experience and trust as mediating factors. Using Python-based bibliometric and text mining tools, the review examines academic literature published between 2017 and 2024. Findings suggest that AI features such as personalization, chatbots, recommendation systems, and virtual try-ons significantly contribute to enhancing user experience and building trust, which in turn foster purchase intention. The study also highlights methodological trends and proposes directions for future research.

Page 7 of 7 | Total Record : 62

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