Modelling lifestyle-based segments of Indian wine consumers using the latent profile analysis approach

Kelkar, Vageesh Neelavar and Bolar, Kartikeya and Payini, Valsaraj and Mallya, Jyothi (2022) Modelling lifestyle-based segments of Indian wine consumers using the latent profile analysis approach. International Journal of Wine Business Research. pp. 1-24. ISSN 1751-1062

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Abstract

Abstract Purpose – This study aims to identify and validate the different clusters of wine consumers in India based on the wine-related lifestyle (WRL) instrument. It also investigates how the identified clusters differ in terms of socio-demographic characteristics, such as age, gender, income, education, employment and marital status. Design/methodology/approach – The authors conducted a survey using a structured questionnaire to collect data from wine consumers in India. The number of participants totalled to 432. The authors first identified the clusters using latent profile analysis. The authors then used the decision tree analysis based on a recursive partitioning algorithm to validate the clusters. Finally, the authors analysed the relationship between the identified clusters and socio-demographic characteristics using correspondence analysis. Findings – Three distinct segments emerged after data were subjected to latent profile analysis, namely, curious, ritualistic, and casual. The authors found that the curious cluster had a high mean score for situational and social consumption while the ritualistic cluster had a high mean for ritualistic consumption. The findings also suggest that the casual cluster had more female wine consumers. Originality/value – This study makes methodological contributions to the wine consumer segmentation approach. First, it adopts a latent profile analysis to profile Indian wine consumers. Second, it validates the obtained clusters using the decision tree analysis method. Third, it analyses the relationship between the identified clusters and socio-demographic variables using correspondence analysis, a technique far superior to the Chi-square methods.

Item Type: Article
Uncontrolled Keywords: Wine consumers, Segmentation, Latent profile analysis, Decision tree analysis, Correspondence analysis
Subjects: Hotel Management > WGSHA Manipal
Depositing User: WGSHA EPrints Administrator
Date Deposited: 27 May 2022 06:01
Last Modified: 27 May 2022 06:01
URI: http://eprints.manipal.edu/id/eprint/158737

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