Claim Missing Document
Check
Articles

Found 24 Documents
Search

Determinants of Continuance Intention Toward ChatGPT Premium Among Indonesian University Students: An Information Systems Success Model Perspective for Higher Education Management Amaninda Jihan Nabila; Wenny Pebrianti; Giriati; Heriyadi; Harry Setiawan
Journal of Educational Management Research Vol. 5 No. 2 (2026)
Publisher : Al-Qalam Institue

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61987/jemr.v5i2.1892

Abstract

The rapid adoption of generative artificial intelligence (GenAI) tools such as ChatGPT has significantly transformed digital learning practices in higher education; however, empirical evidence on students’ continuance intention toward subscription-based GenAI services remains limited. This study aims to examine the determinants of university students’ continuance intention to use ChatGPT Premium by adopting the Information Systems Success Model (ISSM) within the context of digital learning management. An online survey was conducted with 200 Indonesian university students who had used ChatGPT Premium for at least six months, and the data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM). The results indicate that system quality, information quality, and service quality have positive and significant effects on perceived usefulness and price fairness, which subsequently enhance students’ continuance intention. Mediation analysis confirms that perceived usefulness and price fairness significantly mediate the relationships between the three quality dimensions and continuance intention. These findings extend the application of the ISSM by positioning price fairness as a critical evaluative component in subscription-based GenAI services and provide managerial implications for higher education institutions in optimizing digital learning strategies through improved system performance, information reliability, and value-oriented service management to support the sustainable use of GenAI in academic settings.
Electronic Loyalty Flow: AI Chatbots are Changing Generation Z's Shopping Style: Aliran Loyalitas Elektronik: Chatbot AI yang Mengubah Gaya Belanja Generasi Z Wenny Pebrianti; Dewi; Ahmadi
JBMP (Jurnal Bisnis, Manajemen dan Perbankan) Vol. 11 No. 1 (2025): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jbmp.v11i1.1975

Abstract

This study investigates the impact of artificial intelligence (AI) chatbots and flow experience on e-loyalty within e-commerce platforms, specifically focusing on Generation Z Shopee users in Pontianak City, with customer satisfaction serving as a mediating variable. Employing a quantitative research design with a causal approach, data were collected through a questionnaire distributed to 200 respondents selected via convenience sampling. The analysis was conducted using Structural Equation Modeling (SEM) with SmartPLS 3.0, revealing a positive and significant relationship between AI chatbots and flow experience on both customer satisfaction and e-loyalty. Furthermore, customer satisfaction was found to mediate the relationship between AI chatbots, flow experience, and e-loyalty. These findings provide valuable insights for developing strategies to enhance consumer loyalty in e-commerce, contributing to a deeper understanding of the factors influencing e-loyalty and offering practical implications for e-commerce platform development.
The Influence of Perceived Quality and Price Fairness on Repurchase Intention through Customer Satisfaction of Yonex Badminton Racket Users Roland Franklin; Heriyadi Heriyadi; Ahmadi Ahmadi; Wenny Pebrianti; Bintoro Bagus Purmono
JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi) Vol. 12 No. 4 (2026): Agustus 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jemsi.v12i4.6541

Abstract

This study aims to examine the effect of perceived quality and price fairness on repurchase intention with customer satisfaction as a mediating variable among Yonex badminton racket users in Indonesia. The study employed a quantitative approach with a causal research design. Data were collected through a Likert-scale questionnaire distributed to 250 respondents using purposive sampling. Data were analyzed using the Structural Equation Modeling–Partial Least Squares (SEM-PLS) method with the assistance of SmartPLS 4.0. The results indicate that perceived quality has a significant direct effect on customer satisfaction and repurchase intention. Price fairness is also found to have a significant effect on customer satisfaction and repurchase intention. In addition to these direct effects, customer satisfaction serves as a partial mediator that strengthens the influence of perceived quality and price fairness on repurchase intention. These findings suggest that consumers consider not only quality and price directly, but also evaluate them through their level of satisfaction before deciding to repurchase. Accordingly, this study emphasizes customer satisfaction as an important psychological mechanism that links consumers’ perceptions of quality and price to repurchase behavior.
Enhancing SME Export Performance through Export Sharing Communities, Export Market Orientation, and Export Digital Agility: A Mediation Analysis Bintoro Bagus Purmono; Ramadania; Wenny Pebrianti
Ilomata International Journal of Management Vol. 7 No. 3 (2026): July 2026
Publisher : Yayasan Sinergi Kawula Muda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61194/ijjm.v7i3.2408

Abstract

Small and Medium Enterprises (SMEs) in Indonesia continue to face a persistent export performance gap compared with comparable ASEAN economies. Although previous studies have examined collaborative networks, market orientation, and digital capabilities separately or in pairs, little is known about their integrated role in improving SME export performance. This study addresses this gap by developing and testing an empirical model integrating Export Sharing Community (ESC), Export Market Orientation (EMO), and Export Digital Agility (EDA), with EMO and EDA proposed as complementary mediators. Using a cross-sectional survey of 215 exporting SMEs across Indonesia, data were collected through structured questionnaires employing five-point Likert scales adapted from validated measures. Structural Equation Modeling (SEM–AMOS 24) was used to test the proposed model, while mediation effects were assessed using standardized indirect effects and the Sobel test. Results show that all eight hypothesized relationships are positive and significant. ESC directly improves export performance while strengthening EMO and EDA, and EMO also positively influences EDA. EDA is the strongest direct predictor of export performance (β = 0.465), whereas both EMO and EDA significantly mediate the relationship between ESC and export performance. The model explains 72.0% of the variance in export performance, highlighting the complementary roles of export communities, market orientation, and digital agility in enhancing SME export competitiveness in an increasingly digitalized global market.