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All Journal Journal of Information Systems and Informatics
Baiq Yulia Fitriyani
STMIK Lombok
Computer Science & IT

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Linking IT Governance to Organizational Performance in Higher Education: The Role of Digital Capability and Organizational Agility Amrullah Amrullah; Khairul Imtihan; Baiq Yulia Fitriyani; Mardi; Muhamad Rodi
Journal of Information System and Informatics Vol 8 No 2 (2026): April
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i2.1581

Abstract

This study examines how IT governance contributes to organizational performance through information systems (IS) success, digital capability, and organizational agility in higher education institutions. It addresses a critical gap by exploring why improvements in IT governance and system quality do not always translate into higher organizational capabilities and performance. A quantitative survey was conducted with 342 respondents from higher education institutions in Nusa Tenggara Barat (NTB), Indonesia, and analyzed using PLS-SEM. The results show that IT governance significantly improves system, information, and service quality. However, these dimensions do not significantly influence digital capability, and digital capability does not significantly affect organizational agility. Instead, organizational agility is the only construct that significantly enhances organizational performance, while IT governance shows no direct effect. These findings suggest that IT value creation is not linear but depends on the organization’s ability to translate technological resources into adaptive capabilities. This study provides empirical evidence on the indirect role of IT governance and offers a contextual clarification of IS success and digital capability relationships within NTB higher education institutions.
Modeling Generative AI Adoption in Higher Education: The Role of Interface Quality, Algorithmic Transparency, and Trust in Human-AI Interaction Baiq Yulia Fitriyani; Khairul Imtihan; Amrullah; Maulana Ashari; Wire Bagye
Journal of Information System and Informatics Vol 8 No 3 (2026): June
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i3.1598

Abstract

This study examines generative artificial intelligence (AI) adoption in higher education by integrating interface quality, algorithmic transparency, and trust within a Human-AI Interaction framework. The study addresses limitations of traditional technology acceptance models, which often overlook psychological and relational factors in AI-enabled environments. Data were collected through a cross-sectional survey of 195 respondents, including students, lecturers, and administrative staff from higher education institutions in West Nusa Tenggara, Indonesia, within a cross-sectional regional sample, and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that Trust in AI is the strongest predictor of Behavioral Intention (β = 0.623, p < 0.001), followed by Perceived Usefulness (β = 0.270, p < 0.05). Interface Quality significantly affects Perceived Ease of Use (β = 0.803), while Algorithmic Transparency strongly influences Perceived Control (β = 0.824) and Perceived Usefulness (β = 0.562). AI Anxiety was not found to have a significant direct or moderating effect. The model demonstrates substantial explanatory power (R² = 0.710) and strong predictive relevance. This study proposes an integrated dual-path model combining cognitive and affective mechanisms to explain generative AI adoption in higher education. The findings emphasize that AI systems should be designed not only for functionality, but also for trust, transparency, and user confidence.
Co-Authors Amrullah Amrullah Amrullah Khairul Imtihan Mardi Mardi Maulana Ashari Muhamad Rodi Wire Bagye