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

Giselle Eve O. Siladan, M. Samonte
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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.
客户聚类与层次分析法在政府科技干预优化交付中的应用
确定优先次序有助于实体向社会弱势群体提供服务,同时有效利用其资源,特别是在预算有限的情况下。因此,对于一个组织来说,优先考虑主动性是至关重要的,这样才能有效地致力于服务。本文着重于使用层次分析法(AHP)来评估五个备选方案,以提供科学和技术部门第十二区域办事处(DOST XII)所服务的客户的图片。本研究涉及八个决策者在考虑客户聚类结果后评估四个标准。结果表明,地点、必要性、适宜性和成本是优先考虑的关键因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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