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Technology Adoption: Intelligent Agent-based Model for Philippines FTTH Broadband Service Availability

Robert Joseph M. Licup1* and Lawrence Materum1,2
1. De La Salle University, Philippines
2. Tokyo City University, Japan

Manuscript received August 12, 2022; revised October 23, 2022; accepted December 30, 2022.

Abstract—The vast improvement in broadband service delivery has been achieved mainly in the Fiber-To-The-Home (FTTH) technology, which was influential during this pandemic in providing connectivity with everyone, thus ensuring high service availability. The evolution of network monitoring systems has helped achieve this by equipping the network engineers in performing corrective or predictive maintenance. However, minimal research has been conducted to investigate how the adoption of technology and different factors attributes, including organizational culture, have helped or served as the bottlenecks in meeting the set service Key Performance Indicators (KPIs) hinged on the system utilization. This study focuses on measuring, predicting, and simulating technology adoption's interdependence with FTTH network monitoring systems to detect last-mile issues and perform necessary maintenance activities. An agent-based simulation via AnyLogic towards broadband service availability is to be drawn from different works of literature and support the creation of a theoretical model. The goal is to have a simulation tool and quantified outcomes to predict the valued indicators that can help the telecommunications sector to be equipped with proper knowledge in understanding the end-to-end broadband service journey that can benefit not only the business but also the subscribers who rely heavily on broadband service.
 
Keywords—agent-based simulation, broadband service availability, FTTH maintenance, network monitoring system, technology adoption

Cite: Robert Joseph M. Licup and Lawrence Materum, "Technology Adoption: Intelligent Agent-based Model for Philippines FTTH Broadband Service Availability," Journal of Communications vol. 18, no. 4, pp. 236-249, April 2023. Doi: 10.12720/jcm.18.4.236-249

Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.