Table of Contents for Volume 21, 2026, of the Interdisciplinary Journal of Information, Knowledge, and Management

Aim/Purpose: This study addresses the challenge of understanding and predicting tourist decision-making in the AI era by integrating sentiment, credibility, and contextual signals from social media into a unified and actionable framework. It seeks to move beyond raw user-generated content toward trustworthy, decision-ready insights that can guide destinations, platforms, and travelers. Background ...

Aim/Purpose: This study aims to analyze and predict the employability outcomes of higher education students in the Philippines using data-driven predictive modeling. It aims to identify the student attributes that most strongly influence employability, thereby supporting evidence-based curriculum development and workforce alignment initiatives. Background: Graduate employability remains a challen ...

Aim/Purpose: This study aims to address the issue of partial preference, which causes incomplete criteria-level ratings and limits the accuracy of recommendations in multi-criteria recommender systems (MCRS). The primary focus of this study is to develop an imputation method that treats the imputation process as a sequential prediction task in which each missing criterion is predicted based not on ...

Aim/Purpose: The research aimed to design, develop, and test a system that enabled reciprocal knowledge flows between government, academia, business, media, and community stakeholders. Background: The research problem addressed in this study concerned the absence of an integrated, digital knowledge management (KM) system that could operationalize the Pentahelix framework to strengthen the managem ...