International Journal of Supply Chain Management
Vol 8, No 3 (2019): International Journal of Supply Chain Management (IJSCM)

Segmenting Consumers Purchase Intention towards Edible Bird’s Nest Products Using the Decision Tree Techniques

Nurul Nabilah Huda Mohamad Shukri (Universiti Putra Malaysia)
Nolila Mohd Nawi (Universiti Putra Malaysia)
Amin Mahir Abdullah (Universiti Putra Malaysia)
Norsida Man (Universiti Putra Malaysia)



Article Info

Publish Date
24 Jun 2019

Abstract

Domestic consumption of nutritional products and food supplements are on the rise. This is due to the fact that consumers have become more affluent and aware of their health. Edible birds nest (EBN) is used as a health supplement for medicinal benefits to improve health quality. However, issues such as contamination and counterfeit EBN have caused fluctuation of the products price over time and consumers are slowly shunning away from consuming EBN products. Marketing effort is a strategy tool often used to convince buying intention among consumers and therefore relieve the publics anxiety. Presently, the extent of marketing mix that can convince consumers intention to purchase EBN products remains unknown. Thus, this study aimed to analyze the influence of marketing mix towards consumers intention to purchase EBN products. Principle component analysis and decision tree models were used to analyze the data. The performance of three decision tree models was compared based on accuracy and sensitivity rate. Result showed that all three models possessed similar accuracy rate (CART = 84.35%, C5.0 = 84.73%, QUEST = 83.08%), while C5.0 had the highest sensitivity (CART = 84.7%, C5.0 = 87.46%, QUEST = 85.59%). The important variables derived from C5.0 model are health conscious, gender, promotion, race, price, employment, and income. The outcomes from the present study through the performance prediction have provided informative profile of the consumers which will be useful to target potential consumers and to narrow down the market segment for the marketers benefit.

Copyrights © 2019






Journal Info

Abbrev

IJSCM

Publisher

Subject

Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering Transportation

Description

International Journal of Supply Chain Management (IJSCM) is a peer-reviewed indexed journal, ISSN: 2050-7399 (Online), 2051-3771 (Print), that publishes original, high quality, supply chain management empirical research that will have a significant impact on SCM theory and practice. Manuscripts ...