Analyzing influential factors for preferable courier services in Malaysia by using Fuzzy Analytic Hierarchy Process (FAHP)

Muhd Munib, Nurfilzah and Mohd Idris, Mohd Fazril Izhar (2023) Analyzing influential factors for preferable courier services in Malaysia by using Fuzzy Analytic Hierarchy Process (FAHP). In: Research Exhibition in Mathematics and Computer Sciences (REMACS 6.0). Faculty of Computer and Mathematical Sciences, UiTM Cawangan Perlis, pp. 209-210. ISBN 978-629-97440-5-4

Abstract

This study addresses the problem of understanding users' preferences for courier services in Malaysia. With the increasing reliance on online shopping and package delivery, it is crucial to identify the key factors that shape users' decision­making process when selecting a courier service. To tackle this problem, the Fuzzy Analytical Hierarchy Process (FAHP) method is employed. The study aims to determine the relative importance of criteria such as responsiveness, reliability, empathy, assurance, and tangibility along with their corresponding sub-criteria. A group of experts defines these criteria and sub-criteria, and a questionnaire is distributed to gather data on customer preferences. Using the FAHP technique, the study constructed a hierarchy tree, created a fuzzy pairwise comparison matrix, and calculated criterion and sub-criteria weights. The findings highlight the importance of responsiveness, particularly easy contact with courier companies, as the primary criterion. Enhancing services based on these insights can help users select suitable courier services while improving competitiveness in the industry.

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Item Type: Book Section
Creators:
Creators
Email / ID Num.
Muhd Munib, Nurfilzah
UNSPECIFIED
Mohd Idris, Mohd Fazril Izhar
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Fuzzy logic
Divisions: Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Computer and Mathematical Sciences
Page Range: pp. 209-210
Keywords: Courier services, fuzzy analytical hierarchy process, online shopping, customer preferences.
Date: 2023
URI: https://ir.uitm.edu.my/id/eprint/138967
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