https://sloap.org/journal/index.php/ijecs <p><strong>IJECS </strong>is published in English and it is open to authors around the world regardless of the nationality. The frequency or number of issues per year is continous.<br />ISSN 2632-945X</p> Scientific and Literature Open Access Publishing en-US International journal of engineering and computer science 2632-945X <p>Articles published in the International Journal of Engineering &amp; Computer Science (<strong>IJECS</strong>) are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (<a href="https://creativecommons.org/licenses/by-nc-nd/4.0/" target="_blank" rel="noopener">CC BY-NC-ND 4.0</a>). Authors retain copyright in their work and grant <strong>IJECS&nbsp;</strong>right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.</p> <p>Articles published in <strong>IJECS</strong><strong>&nbsp;</strong>can be copied, communicated and shared in their published form for non-commercial purposes provided full attribution is given to the author and the journal. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (<em>e.g., post it to an institutional repository or publish it in a book</em>), with an acknowledgment of its initial publication in this journal.</p> https://sloap.org/journal/index.php/ijecs/article/view/2480 <p>The growing need to integrate sustainability, technological innovation, and territorial development has driven new ways of conceiving geopark management. In this context, multimodal tourism 4.0 emerges as an integrative approach that combines advanced technologies such as artificial intelligence, data analytics, and augmented reality. The objective of this research is to propose a methodology for geopark design management based on this approach. A mixed-methods, quasi-experimental, cross-sectional study was conducted in the Moa-Baracoa region of Cuba. The sample consisted of 200 participants selected through simple random sampling (100 in Moa and 100 in Baracoa), representing 30% of potential users. The results highlight limitations in traditional management models and demonstrate the feasibility of incorporating multimodal technologies to optimize decision-making. It is concluded that the proposed methodology promotes intelligent, participatory, and sustainable geopark management.</p> Norge Caseres Cimet Luis Aníbal Alonso Betancourt Leudis Orlando Vega de la Cruz Yoan Pablo Rodriguez Monier Copyright (c) 2026 International journal of engineering and computer science http://creativecommons.org/licenses/by-nc-nd/4.0 2026-05-03 2026-05-03 9 1 1 9 10.21744/ijecs.v9n1.2480