Application of Customer Clustering and Analytical Hierarchy Process in Optimizing Delivery of Government Science and Technology Interventions

Abstract

Prioritization helps entities provide services to the socially disadvantaged while efficiently using their resources, especially when working within a limited budget. It is, therefore, crucial for an organization to prioritize initiatives to become effective in its dedication to service. This article focuses on using the Analytical Hierarchy Process (AHP) in evaluating five alternatives to provide a picture of the clients served by the Department of Science and Technology Regional Office XII (DOST XII). This study involved eight decision-makers in evaluating four criteria after considering the results of the customer clustering. Results showed that location, necessity, appropriateness, and cost are the key factors considered when prioritizing.