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Sustainable Luxury Consumers’ Preferences and Segments: Conjoint and Cluster Analyses
Sustainable luxury is an emerging concept that has gained traction in the industry. However, limited studies have explored the preferences of consumers towards sustainable luxury products. Therefore, the first objective of this research was to identify the sustainable luxury attributes that appeal to the consumers, while the second objective was to segment consumers based on their sustainability and luxury preferences. Data were collected from 354 consumers in Thailand and Taiwan; preferences were determined using a choice-based conjoint analysis. K-means clustering was performed to identify sustainable luxury consumers as customizers, perfectionists, legacy lovers, zero-waste warriors, transparency trackers, and green operators. This research is the first to shed light on the multiplicity of sustainable luxury consumers. It also indicates the role of sustainable information in decision making.
Sustainable Luxury Consumers’ Preferences and Segments: Conjoint and Cluster Analyses
Sustainable luxury is an emerging concept that has gained traction in the industry. However, limited studies have explored the preferences of consumers towards sustainable luxury products. Therefore, the first objective of this research was to identify the sustainable luxury attributes that appeal to the consumers, while the second objective was to segment consumers based on their sustainability and luxury preferences. Data were collected from 354 consumers in Thailand and Taiwan; preferences were determined using a choice-based conjoint analysis. K-means clustering was performed to identify sustainable luxury consumers as customizers, perfectionists, legacy lovers, zero-waste warriors, transparency trackers, and green operators. This research is the first to shed light on the multiplicity of sustainable luxury consumers. It also indicates the role of sustainable information in decision making.
Sustainable Luxury Consumers’ Preferences and Segments: Conjoint and Cluster Analyses
Wen-Yun Chang (author) / Viriya Taecharungroj (author) / Supara Kapasuwan (author)
2022
Article (Journal)
Electronic Resource
Unknown
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