Determinants of purchase intention of non-electrical and electronic high value goods via online in Malaysia

Salmi Mohd Isa, Lim Jin Wei and Shaian Kiumarsi

International Journal of Management and Enterprise Development, 2021, vol. 20, issue 2, 113-135

Abstract: The purpose of this study is to examine the determinants of purchase intention of non-electrical and electronic high value goods via online in Malaysia. The study focuses on adults in Malaysia who have experience in online purchases. The study employs an online method to distribute the questionnaire, and a total of 392 valid data were collected via convenient sampling. The data were analysed with smart partial least square software. Evidence from the study reveals that perceived usefulness, perceived ease of used, brand, trust and perceived risk contributes to online purchase intention for non-electrical and electronic high value goods (NEHVG). It also shows that perceived risk has a mediating effect on the relationship between trust and online purchase intention, while income level moderates the relationship between perceived usefulness and online purchase intention. This study provides insights into consumers' acceptance level, and the determinants of online purchase intention for NEHVG in Malaysia.

Keywords: perceived usefulness; perceived ease of use; PEU; brand; trust; perceived risk; purchase intention. (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=117891 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijmede:v:20:y:2021:i:2:p:113-135

Access Statistics for this article

More articles in International Journal of Management and Enterprise Development from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().