Latent Class Analysis of Consumer Preferences for Wine in Tirana, Albania

2012 ◽  
Vol 24 (4) ◽  
pp. 321-338 ◽  
Author(s):  
Edvin Zhllima ◽  
Catherine Chan-Halbrendt ◽  
Quanguo Zhang ◽  
Drini Imami ◽  
Ryan Long ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Consumer Preferences ◽  
Class Analysis

scholarly journals Understanding preferences of German flower consumers: the desire for sustained beauty

2018 ◽  
Vol 46 (6) ◽  
pp. 560-576
Author(s):  
Meike Rombach ◽  
Nicole Widmar ◽  
Elizabeth Byrd ◽  
Vera Bitsch
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Consumer Preferences ◽  
Federal State ◽  
Class Analysis ◽  
Cut Flower ◽  
Cut Flowers ◽  
Content Type ◽  
Relative Preference ◽  
Best Worst Scaling

PurposeThe purpose of this paper is to provide insights for flower retailers, horticultural practitioners and marketing managers into the prioritisation of cut flower attributes by German residents.Design/methodology/approachApplying a best–worst scaling approach, this analysis identified the relative ranking of importance amongst product attributes relevant to German consumers when buying fresh cut flowers. A latent class analysis determined four flower consumer segments for further study. The study builds on a sample of 978 consumers and is consistent with the most recent German census in terms of age, gender, income and federal state.FindingsThe best-worst analysis showed that intrinsic flower attributes, in particular appearance, freshness and scent were found to be more important to German consumers than the extrinsic attributes studied, namely, price, country of origin and a certification indicating fair trade. The latent class analysis determined four consumer segments that desire either budget, luxury or ethical flowers or more information about flowers. For all identified consumer segments, appearance was the attribute of greatest importance. The segments that desired luxury or ethical flowers, as well as the segment that desires more information were interested in appearance, but also had relatively large shares of preferences dedicated to flower freshness guarantees. The preference for freshness guarantees in addition to appearance may be interpreted jointly as a desire for not only beautiful and aesthetically pleasing flowers, but for sustained beauty.Originality/valueInternationally, the study fills a research gap by exploring consumer’s relative preference for cut flower attributes. In contrast to existing studies on consumer preferences for flowers in Germany, the present study builds on a sample that was targeted in terms of age, gender, net household income and federal state to the most recent German census.

Latent class analysis and individuals' preferences mapping: the new consumption orientations and perspectives for craft beer in North-West Italy

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Stefano Massaglia ◽  
Valentina Maria Merlino ◽  
Simone Blanc ◽  
Aurora Bargetto ◽  
Danielle Borra
Keyword(s):  
Latent Class Analysis ◽  
Large Scale ◽  
Latent Class ◽  
Consumer Preferences ◽  
Demographic Characteristics ◽  
Class Analysis ◽  
Content Type ◽  
North West ◽  
Craft Beer ◽  
Definition Of

PurposeIn Italy, the craft beer (CB) market has undergone a trend of exponential growth in recent years, showing, at the same time, differences among different geographical areas. This research aimed to define the consumer preferences towards different CB attributes by involving a sample of individuals from Piedmont (from North-West Italy). Furthermore, the experimentation was designed to distinguish heterogeneous individuals' consumption profiles each characterised by different CB preferences, drinking habits and socio-demographic characteristics.Design/methodology/approachThe exploration of individuals' preferences towards 12 CB quality attributes was made throughout a choice experiment based on the Best-Worst Scaling (BWS) methodology approach. In addition, the BWS results were employed in the latent class analysis to identify the best sample segmentation in relation to attributes preferences.FindingsThe “Brand knowledge”, “I have already tried it” were the most important attributes for CB choice. On the contrary, the “Type of packaging” and “Price” were the least important for CB choice. The “Loyal”, “Attentive to quality composition” and “Territorial brand” clusters were defined in function of CB consumers preferences and described in terms of individuals consumption habits and socio-demographic characteristics.Originality/valueThe BWS methodology allowed the definition of a preference index for each selected CB attributes. These indications could have concrete importance on production and marketing choices in an increasingly extended and globalised market, also at large-scale distribution level. Furthermore, the definition of different consumption profiles allowed to highlight the heterogeneity of consumption (preferences and habits) towards CB.

Modelling consumer preferences heterogeneity in emerging wine markets: a latent class analysis

2020 ◽  
Vol 52 (56) ◽  
pp. 6136-6144
Author(s):  
Tânia Gonçalves ◽  
Lina Lourenço-Gomes ◽  
Lígia Pinto
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Consumer Preferences ◽  
Class Analysis ◽  
Wine Markets

Latent Class Analysis of Psychosocial and Psychophysiological Risks for Drinking

2009 ◽  
Author(s):  
Tomoko Udo ◽  
Jennifer F. Buckman ◽  
Marsha E. Bates ◽  
Evgeny Vaschillo ◽  
Bronya Vaschillo ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Class Analysis
Sign in / Sign up

Export Citation Format

Share Document