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All Journal Applied Information System and Management Kasta: Jurnal Ilmu Sosial, Agama, Budaya dan Terapan
Nasywa Ghaida Salsabila
Lambung Mangkurat University
Education Languange, Linguistic, Communication & Media

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Does Work Engagement Explain Job Characteristics and Job Satisfaction in Rural Education? Meiske Claudia; Muhammad Fahrin Noor; Nasywa Ghaida Salsabila; Megi Nediawan
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.v6i3.4095

Abstract

Teacher job satisfaction is important for educational quality, yet the mechanism linking job characteristics and satisfaction remains underexplored in elementary schools. This study analyzes the effects of job demands and job resources on job satisfaction, with work engagement as a mediator among educators in Haruyan District, South Kalimantan. A quantitative survey was conducted with 120 educators selected from 228 teachers in 24 public elementary schools using proportionate stratified random sampling. Responses were measured using a Likert-scale questionnaires and analyzed through PLS-SEM with the disjoint two-stage approach in SmartPLS 4. The results show that job demands and job resources do not directly affect job satisfaction. However, job demands positively affect work engagement, job resources strongly affect work engagement, and work engagement positively affects job satisfaction. Work engagement fully mediates both relationships. These findings indicate that teacher satisfaction is primarily shaped through psychological engagement. Moderate demands function as challenge demands, while resources strengthen motivation through support, feedback, coaching, and development opportunities.
Understanding Online Purchase Intention in Social Commerce: The Roles of Web Quality, User Satisfaction, and Algorithmic Personalization Megi Nediawan; Asrid Juniar; Liko Noor Rafianto Rahadian; Muhammad Rayyan Adhiyani; Nasywa Ghaida Salsabila; Paarth Agarwal
Applied Information System and Management (AISM) Vol. 9 No. 1 (2026): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v9i1.48916

Abstract

This study examines how web quality influences online purchase intention through user satisfaction in social commerce, with a specific focus on TikTok Shop. Drawing on the WebQual 4.0 framework and expectation-confirmation theory, the research investigates the effects of usability quality, information quality, and service interaction quality on user satisfaction and how satisfaction subsequently drives online purchase intention. Extending prior WebQual research, this study integrates algorithmic personalization as a moderating mechanism that strengthens the satisfaction–online purchase intention relationship, addressing an aspect largely overlooked in existing social commerce studies. Data were collected from 210 TikTok Shop users in Banjarmasin and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that all web quality dimensions significantly enhance user satisfaction, which in turn positively affects online purchase intention. Algorithmic personalization significantly reinforces this relationship, and the model explains 44.6% of the variance in online purchase intention (R² = 0.446). The findings contribute to theory by extending WebQual to algorithm-driven social commerce contexts and offer practical insights for platforms seeking to optimize user experience and personalized recommendation strategies.
Co-Authors Asrid Juniar Claudia, Meiske Liko Noor Rafianto Rahadian Megi Nediawan Megi Nediawan Muhammad Fahrin Noor Muhammad Rayyan Adhiyani Paarth Agarwal