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All Journal Sains Manajemen:Jurnal Manajemen UNSERA JMBI UNSRAT (Jurnal Ilmiah Manajemen Bisnis dan Inovasi Universitas Sam Ratulangi) Jurnal Manajemen Enrichment : Journal of Management JURNAL ILMIAH GLOBAL EDUCATION JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi) Indonesian Journal of Business Analytics (IJBA) Jurnal Pelita Ilmu Kasta: Jurnal Ilmu Sosial, Agama, Budaya dan Terapan
Kurbandi Satpatmantya BR
Universitas Pelita Bangsa
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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From Linear To Nonlinear: Pls Sem And Ann Analysis Of Ai Personalization And Brand Engagement In Muslimah Fashion E Commerce Wening Ken Widodasih; Kurbandi Satpatmantya BR; Wirajannastho ABR; Felina C Young
KASTA : Jurnal Ilmu Sosial, Agama, Budaya dan Terapan Vol. 6 No. 3 (2026): August
Publisher : Lembaga Bale Literasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58218/kasta.v6i3.3489

Abstract

This research investigates brand engagement as a mediator between AI personalization and marketing outcomes in Muslimah fashion e commerce (Jabodetabek), with religiosity as a moderator. A survey of 412 consumers (18–45 years) who bought modest fashion online in the last six months was analyzed using PLS SEM and an artificial neural network (ANN). Four AI components—interaction (?=0.324), information (?=0.281), accessibility (?=0.192), and customization (?=0.358)—positively drive brand engagement (R²=0.672). Brand engagement completely transmits AI’s effects to repurchase intention (indirect ?=0.452), customer lifetime value (?=0.394), and word of mouth (?=0.378). Religiosity only moderates the engagement repurchase intention path (?=0.182, p<0.01). The ANN identifies brand engagement as the most influential predictor (100% normalized importance). This study extends the S O R framework to a religiously sensitive e commerce setting and introduces combined PLS SEM and ANN analysis to Islamic marketing literature.
Co-Authors Ahmad Maulana Burhan Murdani Felina C Young Hafief Ardhya Bakas Hery Gunardi Jizenji Tyas Wirastomo Muhammad Fachry Fadhlurrohman Nabilah Syifa Savira R. R. Wening Ken Widodasih R.R Wening ken Widodasih RR. Wening Ken W Supartono Supartono Supartono Syahrul Alim Wirajannastho ABR Yusmidarina Yusmidarina