An investigation of young Chinese consumers’ purchasing motivations toward luxury products

During the past two decades, luxury sector becomes even popular around the world. Especially in China, people tend to have an appetite for luxury products since the early 1990s. Moreover, the Chinese traditional culture also plays an essential role in influencing Chinese consumers’ purchase behaviou...

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Bibliographic Details
Main Author: Cui, Jingyue
Format: Dissertation (University of Nottingham only)
Language:English
Published: 2015
Online Access:https://eprints.nottingham.ac.uk/30061/
Description
Summary:During the past two decades, luxury sector becomes even popular around the world. Especially in China, people tend to have an appetite for luxury products since the early 1990s. Moreover, the Chinese traditional culture also plays an essential role in influencing Chinese consumers’ purchase behaviours. This dissertation endeavours to create an insightful analysis that helps to understand young Chinese consumers’ purchase motivations toward luxury products. The findings suggest that Chinese traditional culture indeed have impact on consumers’ luxury buying motivations. Specifically, under the collectivist culture, Chinese people tend to care much about others; therefore they are willing to enhance their perceived self-image through buying luxury goods. In terms of the conspicuousness, the findings indicate that Chinese consumers tend to purchase luxury goods are more likely to save “face”, rather than indicate their social status. Moreover, compared to male, young Chinese female consumers are largely influenced by their desired reference groups In order to explore this research question, the author decides to adopt a qualitative research method and conduct semi-structured interviews following a simple interview guideline. In terms of the sampling technique, the convenience sampling was adopted and there were 10 interviewees involved in this dissertation. Finally, the author uses “grounded theory” to analyse the collected data.