Journal of Quantitative Research: PLS and Predictive Analytics is an international, peer-reviewed, and open-access academic journal published by Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM), Sekolah Tinggi Ilmu Ekonomi Krakatau. The journal focuses on quantitative research using Partial Least Squares (PLS) and predictive analytics, providing a platform for researchers, academics, and practitioners to publish innovative empirical and methodological findings across diverse fields such as management, marketing, finance, information technology, social sciences, and other multidisciplinary areas.

The journal emphasizes studies that integrate theory and practice through rigorous quantitative approaches, highlighting statistical validity, predictive power, and the application of PLS in data-driven decision making. It welcomes high-quality manuscripts including original research articles, review articles, methodological studies, case studies, and discussions that advance knowledge on PLS modeling, predictive analysis, and related quantitative methods.

Scope of topics includes:

• PLS-SEM applications for analyzing structural and measurement models.
• Predictive analytics in business, economics, and social contexts.
• Model validation, construct measurement, and simulation studies.
• Integration of quantitative data with innovative analytical technologies.
• Empirical research, methodological development, and applied predictive modeling.

Objective: To serve as a leading reference for the academic and professional community in applying PLS and predictive analytics to understand complex phenomena, enhance prediction accuracy, and support evidence-based decision making.