scholarly journals Consumer Preferences of Sustainability Labeled Cut Roses in Germany

2019 ◽  
Vol 11 (12) ◽  
pp. 3358 ◽  
Author(s):  
Berki-Kiss ◽  
Menrad
Keyword(s):  
Latent Class Analysis ◽  
Online Survey ◽  
Latent Class ◽  
Consumer Preferences ◽  
Food Retailing ◽  
Consumer Evaluations ◽  
Positive Assessment ◽  
Conjoint Experiment ◽  
Horticultural Products ◽  
Additional Value

The study investigated preferences of consumers of food retailing outlets in Germany for sustainability labeled cut roses. A sample of 1201 respondents of an online survey was used to analyze their preferences based on a choice-based conjoint experiment in which a bunch of 10 roses was considered which differed concerning the labeling certificate, country of production of the plants, price, packaging, smell, and blossom size of the roses. Latent class analysis revealed existence of consumer heterogeneity with around two thirds of the respondents being strongly in favor of sustainability labels. Thereby Fairtrade labeled roses got an overall positive assessment whereby organic roses were only preferred by 31% of the respondents. In addition, paper or no packaging, strong smell and uniform big blossom sizes got overall positive consumer evaluations in the experiment. The study concludes that sustainability labeled plants might be an option for producers to append additional value to horticultural products in Germany.

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.

scholarly journals Associative stigma among mental health professionals in Singapore: a cross-sectional study

BMJ Open ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. e028179 ◽  
Author(s):  
Louisa Picco ◽  
Sherilyn Chang ◽  
Edimansyah Abdin ◽  
Boon Yiang Chua ◽  
Qi Yuan ◽  
...  
Keyword(s):  
Mental Health ◽  
Job Satisfaction ◽  
Latent Class Analysis ◽  
Mental Health Professionals ◽  
Health Professionals ◽  
Online Survey ◽  
Latent Class ◽  
Multinomial Logistic Regression ◽  
Class Analysis ◽  
Associative Stigma

Objectives(1) Investigate and explore whether different classes of associative stigma (the process by which a person experiences stigmatisation as a result of an association with another stigmatised person) could be identified using latent class analysis; (2) determine the sociodemographic and employment-related correlates of associative stigma and (3) examine the relationship between associative stigma and job satisfaction, among mental health professionals.DesignCross-sectional online survey.ParticipantsDoctors, nurses and allied health staff, working in Singapore.MethodsStaff (n=462) completed an online survey, which comprised 11 associative stigma items and also captured sociodemographic and job satisfaction-related information. Latent class analysis was used to classify associative stigma on patterns of observed categorical variables. Multinomial logistic regression was used to examine associations between sociodemographic and employment-related factors and the different classes, while multiple linear regression analyses were used to examine the relationship between associative stigma and job satisfaction.ResultsThe latent class analysis revealed that items formed a three-class model where the classes were classified as ‘no/low associative stigma’, ‘moderate associative stigma’ and ‘high associative stigma’. 48.7%, 40.5% and 10.8% of the population comprised no/low, moderate and high associative stigma classes, respectively. Multinomial logistic regression showed that years of service and occupation were significantly associated with moderate associative stigma, while factors associated with high associative stigma were education, ethnicity and occupation. Multiple linear regression analyses revealed that high associative stigma was significantly associated with lower job satisfaction scores.ConclusionAssociative stigma was not uncommon among mental health professionals and was associated with sociodemographic factors and poorer job satisfaction. Associative stigma has received comparatively little attention from empirical researchers and continued efforts to address this understudied yet important construct in conjunction with future efforts to dispel misconceptions related to mental illnesses are needed.

scholarly journals Heterogeneity in consumer preferences for ready-to-eat pomegranate: an empirical study in Italy

2020 ◽  
Vol 122 (12) ◽  
pp. 3869-3884
Author(s):  
Alice Stiletto ◽  
Elisa Giampietri ◽  
Samuele Trestini
Keyword(s):  
Online Survey ◽  
Latent Class ◽  
Consumer Preferences ◽  
Heterogeneous Preferences ◽  
Time Saving ◽  
Content Type ◽  
Negative Effect ◽  
Italian Origin ◽  
Consumer Test ◽  
Positive Effect

PurposeThe present study aims at analysing consumer preferences for the pomegranate fruit, focussing on the effect of ready-to-eat format (i.e. packaged arils) on the purchasing choice, together with several products’ attributes as the origin, the packaging typology and the price.Design/methodology/approachThe paper presents a choice experiment (CE) among 626 Italian consumers from Veneto region through an online survey. The study estimates both a conditional logit (CL) and a latent class logit model (LCM).FindingsBy segmenting the sample based on the heterogeneous preferences of consumers, it can distinguish “eco-friendly consumers”, “time-saving lovers”, “nationalists” and “price sensitive” subjects. Interestingly, the marginal willingness to pay for ready-to-eat arils is positive for the “time-saving lovers” that are mainly young consumers. The Italian origin has always a positive effect on the choice, whereas a negative effect is found for the price. Finally, the eco-friendly package has both a negative and a positive effect.Research limitations/implicationsThe sample of this study is not representative of the population and the CE has a hypothetical nature. It follows that further research will link the economic analysis to a consumer test on a more representative sample.Practical implicationsThis study can be useful for the pomegranate producers and the industry because it provides original evidence that could drive their business and marketing strategies, for instance, the preference for ready-to-eat arils.Originality/valueThis study is one of the first seeking to determine the factors that affect consumers' preferences for pomegranate arils.

Fijian food shopping behaviour: implications for policy makers and smallholder farmers

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Craig Johns ◽  
Wendy J. Umberger ◽  
Pamela Lyon ◽  
Rio Maligalig
Keyword(s):  
Food Industry ◽  
Latent Class ◽  
Consumer Preferences ◽  
Smallholder Farmers ◽  
Small Island ◽  
Food Retailing ◽  
Content Type ◽  
Food Shopping ◽  
Shopping Behaviour ◽  
Traditional Market

PurposeThe study aims to identify different consumer groups to better understand changes in urban Fijian food shopping behaviour and the implications for the local food industry.Design/methodology/approachThe authors used a Latent class (LC) cluster analysis of survey data from 1,000 urban Fijian households to identify unique consumer segments based on household food shopping behaviour.FindingsFive distinct urban household clusters were identified based on food shopping behaviour. The cluster with the highest income level spent significantly lower amounts on fresh fruit and vegetables (FFV) at the main traditional market, preferring to buy their FFV from modern supermarket outlets. Considering the vast majority of local smallholder farmers rely on traditional market channels to sell their produce, the growth and dominance of Fijian supermarkets are of some concern.Research limitations/implicationsFuture research should consider repeating these types of detailed consumer surveys to better understand the implications of changes in shopping behaviour over time, and the role that key stakeholders can play in ensuring smallholder farmers is not excluded from the market.Social implicationsSmallholder-driven agriculture accounts for a significant share of Fiji's gross domestic product (GDP), so understanding how the retail food industry is transforming and how this is affecting smallholder farmers is critical to Fiji's social structure.Originality/valueResearch on food retailing and the role of the consumer is rare in small island developing states (SIDS), such as Fiji. Fiji has a somewhat unique set of circumstances. In the absence of significant foreign investment in food retailing, key factors such as urbanisation and rising urban income mean consumer preferences are important drivers of changes in shopping behaviour. The study provides insights into Fiji's changing food industry with implications for other SIDS, while contributing to the global literature in this field.

scholarly journals Consumer preferences for wild game cured meat label: do attitudes towards animal welfare matter?

2020 ◽  
Vol 23 (4) ◽  
pp. 599-618
Author(s):  
Maria Elena Marescotti ◽  
Vincenzina Caputo ◽  
Eugenio Demartini ◽  
Anna Gaviglio
Keyword(s):  
Animal Welfare ◽  
Animal Rights ◽  
Online Survey ◽  
Latent Class ◽  
Consumer Preferences ◽  
Meat Product ◽  
Meat Products ◽  
Processed Meat ◽  
Game Meat ◽  
Wild Game

Even though the European Union has imposed a mandatory labeling system for conventional meats, there is no mandatory labelling scheme for the so called ‘minor meats’ – such as hunted wild game meat (HWGM). Thus, some European countries have implemented voluntary labelling programs certificating the origin of wild game meat. This study uses a discrete choice experiment to: (1) assess consumer preferences for processed meat products (including wild game meat bearing a HWGM label); and (2) investigate whether consumers’ attitudes towards animal welfare affects their food choice behavior for alternative meat products. Data was collected through an online survey conducted in Italy and consumer preferences for HWGM was estimated through a latent class logit model. Overall, results suggest that, even though HWGM label does not exist yet on the Italian market, it is appealing to Italian consumers and it will likely be accepted by the majority of them. However, consumers who are particularly concerned about animal welfare issues and animal rights showed the lowest level of the interest in the hunted game meat product and thus the presence of the HWGM label does not provide any benefit to them. Our findings have important implications for the development of successful marketing strategies and policy intervention in the HWGM sector at a national and European level.

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 Smoking Patterns Among Third Level Students: A latent class analysis

2021 ◽  
Author(s):  
Tochukwu Igboanugo ◽  
Anusha Malapati Ramesh
Keyword(s):  
Latent Class Analysis ◽  
Tobacco Use ◽  
Early Onset ◽  
Online Survey ◽  
Latent Class ◽  
Late Onset ◽  
Class Analysis ◽  
Cross Sectional ◽  
Class 1 ◽  
Social Smokers

Abstract Introduction: The psychosocial framework of adolescent transformation period is characterised by risk-taking behaviours such as the use of psychoactive substances like tobacco. Smoking initiated at this stage may lead to a lifetime nicotine-addiction. This study aims to identify and describe a typology of smoking among third level student smokers according to their pattern of smoking and to inform the designing of effective interventions in tobacco use among studentsMethods: Latent class analysis was used to characterise different smoking pattern among 361 third level students in an Irish university. The participants were enrolled in this cross-sectional study by inviting them to complete an online survey.Results: Three groups were identified: (1) Late-onset, Social smokers (n=88, 41.3%). (2) late-onset, light smokers (n = 74, 34.4%). (3) Early-onset, Nicotine addicts (n = 52, 24.3%). The predominantly female Late-onset, Social smokers has a low probability of regular use of tobacco, a low number of lifetime cigarettes smoked and a high probability (83.0%) of initiating smoking in their adulthood. Nearly 100% of them had neither of the parents as smokers. The predominantly male late-onset, light smokers exhibits similar characteristics with the female-dominated class 1 but has consumed more of cigarettes in the lifetime relative to class 1. 33.8% of class 2 smokers had both parents as smokers; 42.0% had mothers and 33.8% reported their father was a smoker. 64.6% of this class reported their parents to smoke in the home and 54.3% initiated smoking in adulthood. Class 3 (Early-onset, Nicotine addicts) dominated by males has a higher probability of regular tobacco use and has smoked the largest number of cigarette in their lifetime compared to classes 1 and 2. The majority (60.0%) of those in this group had initiated smoking as a teenager. 14.9% had both parents as smokers; 10.6% had mothers who smoke and 20.6% reported their father was a smoker. 23.7% of this class reported their parents to smoke in the home.Conclusion: This study reveals the cigarette smoking behaviours among students and can further inform interventions and strategies to achieving a tobacco-free Ireland.

scholarly journals Substance Use and Chemsex in MSM - A Latent Class Analysis

2021 ◽  
pp. 002204262110405
Author(s):  
Anne Deborah Scholz-Hehn ◽  
Sascha Milin ◽  
Bernd Schulte ◽  
Jens Reimer ◽  
Sven Buth ◽  
...  
Keyword(s):  
Substance Use ◽  
Latent Class Analysis ◽  
Online Survey ◽  
Latent Class ◽  
Suicide Attempts ◽  
Class Analysis ◽  
Hiv Seroconversion ◽  
Hiv Serostatus ◽  
Sex With Men ◽  
Stis And Hiv

Engagement in “chemsex” among men who have sex with men is associated with higher rates of STIs and HIV seroconversion as well as an increased mental health burden. MSM were recruited for an anonymous online survey. The survey included questions of substance use, consumption motives, sexual risk behavior, HIV serostatus, and psychological characteristics. A latent class analysis was used to identify subgroups based on the consumed substances. 597 MSM answered the questionnaire. The latent class analysis revealed four different clusters. Most men described the use of amyl nitrite and cannabis ( n = 370). One cluster consumed mainly MDMA, cocaine, and amphetamine ( n = 106) and another cluster used mainly chemsex-related drugs ( n = 43). A fourth cluster reported a range of consumed substances ( n = 78). This cluster reported higher rates of suicide attempts, STIs, and risk behaviors. Substances typically related to chemsex were consumed in a sexualized context to a relevant extent.

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