Using decision trees to analyse the customers' shopping location preferences. (6th May 2019)

• Record Type: Journal Article
• Authors: Ansari, Azarnoush; Riasi, Arash
• Is Part Of: International journal of business excellence. Volume 18:Number 2(2019)
• Page Start: 174
• Page End: 202
• Publication Date: 2019-05-06
• Subjects: decision tree -- data mining -- customer behaviour -- shopping centres -- J48 -- consumer buying behaviour; Reengineering (Management) -- Periodicals; Benchmarking (Management) -- Periodicals; Performance -- Management -- Periodicals; 658.401305
• Languages: English
• ISSNs: 1756-0047

Abstract

Customers' shopping location preferences were analysed by implementing J48 decision tree algorithm. Findings revealed that the existence of discounts at shopping centres and customers' awareness of these discounts is the most important socioeconomic factor that affects customers' behaviour in the context of shopping location preferences. The findings also revealed that the majority of high-income households prefer shopping centres, whereas households in low- or middle-income groups are more inclined toward shopping at individual scattered stores. Finally, the results indicated that J48 decision tree algorithm can be used as a reliable tool for analysing the consumer behaviour due to its high accuracy.