Affiliation:
1. Surigao del Norte State University, Surigao City, Philippines
Abstract
Siargao Island, renowned for its ecological diversity and tourism, faces unique logistical challenges in food distribution, exacerbated by seasonal variations and limited infrastructure. This study aims to addresses the critical need for an efficient, sustainable food supply chain in a remote island context. It optimized ordering and delivery system tailored to the island's specific needs, focusing on sustainability, efficiency, and community engagement.By utilizing a mixed-methods approach, the research combines quantitative data analysis of current supply chain logistics with qualitative insights from local stakeholders, including farmers, vendors, and consumers. The results revealed that there is a high agreement among the respondents in terms of the transportation issues, integration of technology, and infrastructure and supply. By proposing a web-basedsystem will not only enhance the efficiency of food distribution but also supports local agricultural practices and strengthens the island's economy. Moreover, this research provides a replicable framework for other remote regions facing similar logistical challenges, contributing to the broader discourse on sustainable food systems and resilient community infrastructures
Reference10 articles.
1. Clarence House (2020) The Prince of Wales Has Shared a Message in Support of the #PickforBritain Campaign, Which Encourages Anyone Looking for Work During These Unprecedented Times to Consider a Job Picking Fruit and Vegetables This Summer
2. Sureeyatanapas, P., & Damapong, K. (2024). Performance assessment and comparison of online food delivery service providers based upon the aggregated perspectives of restaurant operators. Expert Systems with Applications, 236, 121262.J. Breckling, Ed., The Analysis of Directional Time Series: Applications to Wind Speed and Direction, ser. Lecture Notes in Statistics. Berlin, Germany: Springer, 1989, vol. 61.
3. Tannady, H., & Dewi, C. S. (2024). Exploring Role of Technology Performance Expectancy, Application Effort Expectancy, Perceived Risk and Perceived Cost On Digital Behavioral Intention of GoFood Users. Jurnal Informasi Dan Teknologi, 80-85.
4. Lin, P. M., Au, W. C. W., & Baum, T. (2024). Service quality of online food delivery mobile application: an examination of the spillover effects of mobile app satisfaction. International Journal of Contemporary Hospitality Management, 36(3), 906-926.M. Wegmuller, J. P. von der Weid, P. Oberson, and N. Gisin, “High resolution fiber distributed measurements with coherent OFDR,” in Proc. ECOC’00, 2000, paper 11.3.4, p. 109.
5. Ramesh, R., Prabhu, S. V., Sasikumar, B., Devi, B. K., Prasath, P., & Kamala, S. P. R. (2023). An empirical study of online food delivery services from applications perspective. Materials Today: Proceedings, 80, 1751-1755.