https://ojs.plhr.org.pk/journal <p><strong>Pakistan Languages and Humanities Review (PLHR)</strong> is an international scholarly forum devoted primarily to research in language, literature, arts and the humanities. It provides space for rigorous academic work that examines texts, languages, cultures, ideas, identities, communication, artistic expression and related humanistic questions.</p> <p>The journal is published by <strong>Orients Social Research Consultancy (OSRC)</strong> and operates as an open-access, double-blind peer-reviewed publication. PLHR welcomes original research from established scholars as well as emerging researchers, provided that submissions meet the journal's academic, ethical and methodological expectations.</p> <p>PLHR publishes in English and welcomes work using theoretical, conceptual, interpretive, qualitative, quantitative, historical, comparative or mixed approaches where appropriate to the research question. Interdisciplinary studies are particularly welcome when the connection between disciplines is intellectually meaningful rather than merely descriptive.</p> Orients Social Research Consultancy (OSRC) en-US Pakistan Languages and Humanities Review 2708-6453 https://ojs.plhr.org.pk/journal/article/view/1445 <p>Higher education institutions increasingly rely on information systems to enable datadriven decision-making (DDDM), yet empirical evidence on how system usage, system quality, and the information quality mutually shape faculty decision behavior remains scarce. Grounded in the Technology Acceptance Model and the DeLone and McLean Information Systems Success Model, this study examines the combined influence of these three dimensions on DDDM among university faculty in Pakistan. Using a quantitative, cross-sectional survey design, data were collected from 220 faculty members across public and private universities and analyzed via Partial Least Squares Structural Equation Modeling (PLS-SEM) in SmartPLS 4. The measurement model showed satisfactory reliability, convergent validity, and discriminant validity. Structural results revealed that system usage (β = .200), system quality (β = .338), and information quality (β = .439) each significantly and positively predicted DDDM, with information quality emerging as the strongest driver; the model explained 80.5% of the variance in DDDM (R² = .805). These findings indicate that information quality, rather than system usage alone, is the primary lever for effective DDDM in higher education. The study extends technology acceptance and information systems success theory to the higher education context and offers practical guidance for strengthening information quality and system design in Pakistani universities.</p> Farah Saeed Sara Saeed Bambang Budi Wiyono Copyright (c) 2026 Farah Saeed, Sara Saeed, Bambang Budi Wiyono https://creativecommons.org/licenses/by-nc/4.0 2026-07-01 2026-07-01 10 4 01 18 10.47205/plhr.2026(10-IV)01