The luxury value perception: Malaysian emotional intelligence towards purchase intention / Arunnaa a/p Sivapathy and Safwan Marwin Abdul Murad

Arunnaa, Sivapathy and Safwan Marwin, Abdul Murad (2021) The luxury value perception: Malaysian emotional intelligence towards purchase intention / Arunnaa a/p Sivapathy and Safwan Marwin Abdul Murad. Voice of Academia (VOA), 17 (2): 1. pp. 1-10. ISSN 2682-7840

Official URL: https://voa.uitm.edu.my/

Abstract

The research will investigate the intention of purchasing behaviour of Malaysian consumers using TPB variables known as the attitudes, subjective norms and perceived behavioural control. The conceptual mode l will be moderated by emotional intelligence and will examine the effect of the luxury values towards the Malaysian consumers’ purchase intention. The model used Wiedmann (2007) framework. This research needed a comprehension investigation in Malaysia as a developing country. The results of the research would help the luxury marketers to plan, improve and execute the marketing and communicating strategy in Malaysia. This study also offers a broad literature of the four luxury values of the Malaysian customers towards luxury products.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Arunnaa, Sivapathy
arunnaa@uum.edu.my
Safwan Marwin, Abdul Murad
UNSPECIFIED
Subjects: H Social Sciences > HF Commerce
H Social Sciences > HF Commerce > Consumer behavior. Consumers' preferences. Consumer research. Including consumer profiling
Divisions: Universiti Teknologi MARA, Kedah > Sg Petani Campus
Journal or Publication Title: Voice of Academia (VOA)
UiTM Journal Collections: UiTM Journal > Voice of Academia (VOA)
ISSN: 2682-7840
Volume: 17
Number: 2
Page Range: pp. 1-10
Keywords: Luxury Value Perception, Theory of Planned Behaviour, Malaysian Consumers’, Purchase Intention, Emotional Intelligence
Date: 2021
URI: https://ir.uitm.edu.my/id/eprint/49990
Edit Item
Edit Item

Download

[thumbnail of 49990.pdf] Text
49990.pdf

Download (4MB)

ID Number

49990

Indexing

Statistic

Statistic details