Consumer preference for wine from hand-harvested grapes

2019 ◽  
Vol 122 (8) ◽  
pp. 2551-2567 ◽  
Author(s):  
Andrea Dominici ◽  
Fabio Boncinelli ◽  
Francesca Gerini ◽  
Enrico Marone
Keyword(s):  
Latent Class ◽  
Consumer Preferences ◽  
Latent Class Model ◽  
Interactive Effect ◽  
Consumer Preference ◽  
Random Parameter ◽  
Content Type ◽  
Organic Certification ◽  
Taste Heterogeneity ◽  
The Impact

Purpose The purpose of this paper is to investigate preferences for wine made from hand-harvested grapes, and the interactive effect between this attribute and organic certification. Design/methodology/approach Data were collected via an online choice experiment involving a sample of 408 Italian wine consumers. A random parameter logit was performed to estimate consumer preferences for wine attributes: harvest type, organic and the interaction between these. The experiment also includes geographical indications and price. Furthermore, a latent class model (LCM) is performed to investigate taste heterogeneity for the included wine attributes. Findings On average, consumers prefer the wine produced with hand-harvested grapes. The hypothesis of an interaction between organic and hand-harvested attributes is rejected. Using the LCM, the authors identify three segments with significant taste heterogeneity in terms of the magnitude and the sign of the parameters. Moreover, consumer attitudes towards food naturalness differ according to their belonging to the segments. Originality/value The novelty of this article is twofold. First, this study investigates, for the first time, the impact of the hand-harvested method on consumer wine preferences. Second, hand-harvesting and organic have independent values.

scholarly journals Consumer Preference and Willingness to Pay for Azaleas: Effect of State Labeling and Various Types of Retail Outlets

HortScience ◽  
2016 ◽  
Vol 51 (8) ◽  
pp. 1026-1030
Author(s):  
Madiha Zaffou ◽  
Benjamin L. Campbell
Keyword(s):  
Willingness To Pay ◽  
Online Survey ◽  
Latent Class ◽  
Latent Class Model ◽  
Consumer Preference ◽  
Class Model ◽  
Home Improvement ◽  
Retail Outlets ◽  
Locally Grown ◽  
The Impact

Over the last decade, there has been a move by many consumers to purchase locally grown products. Many studies have focused on food with limited studies examining plants. Using an online survey of Connecticut residents in conjunction with a choice experiment, we examine the impact of various attributes (e.g., local labeling, retail outlet, color, bloom, and price) on preference and willingness to pay (WTP) for azaleas. Results of the latent class model (LCM) indicate that only one of the latent classes, ≈43% of the sample, valued local labeling. Furthermore, the same class that valued local also preferred a nursery/greenhouse outlet over a home improvement center/mass merchandiser. Recommendations for the different retail outlets are given based on the results.

Quality preferences and pricing of fresh-cut salads in Italy: new evidence from market data

2017 ◽  
Vol 119 (7) ◽  
pp. 1473-1486 ◽  
Author(s):  
Vittoria Pilone ◽  
Antonio Stasi ◽  
Antonio Baselice
Keyword(s):  
Consumer Preferences ◽  
Hedonic Price ◽  
Product Price ◽  
Market Data ◽  
Content Type ◽  
Organic Certification ◽  
Fresh Cut ◽  
Real Market ◽  
Set Up ◽  
The Impact

Purpose In Europe fresh-cut fruit and vegetables, is one of the major growing segments in agro-food sector. Current literature reports a limited number of studies about consumers’ preferences towards these products. In particular, it lacks of studies focussed on fresh-cut salads and based on market data. In this paper, a study on consumer preferences towards the main attributes of Italian fresh-cut salads is proposed. More specifically the investigation is focussed on attributes assessable by consumers before purchase such as assortment, tenderness, product preparation and vegetable variety together with brand, size and type of packaging, presence of organic certification, promotion and product price. The purpose of this paper is to evaluate how much Italian consumers pay for those attributes with the aim to understand how much profitable could be different strategies in the sector. Design/methodology/approach The analysis is based on IRI-Infoscan scanner data, consisting of 881 fresh-cut products. The impact of each attributes on pricing is measured by means of a hedonic price model. Findings Main results show that, in Italy, fresh-cut salad price is greatly affected by tenderness, product preparation, assortment, brand, presence of organic certification, packaging attributes and vegetable variety. Practical implications Findings offer to producers the possibility to set up products by composing the mix of attributes that gives back the highest price. In addition, they provide some insights to define manufacturer’s strategies. Originality/value This paper represents a novelty in economic literature because it can be considered an example of consumer preferences analysis towards the different attributes of fresh-cut vegetables based on real market data.

Attributes determining consumer preference for organic rice in Bangkok, Thailand

2018 ◽  
Vol 120 (9) ◽  
pp. 2017-2032 ◽  
Author(s):  
Hatairat Sakolwitayanon ◽  
Peeyush Soni ◽  
Jourdain Damien
Keyword(s):  
Cluster Analysis ◽  
Latent Class ◽  
Consumer Preference ◽  
Content Type ◽  
Clustering Techniques ◽  
Rice Market ◽  
Organic Certification ◽  
Organic Rice ◽  
Best Worst Scaling

Purpose The purpose of this paper is to explore key attributes of organic rice that consumers use in the process of choosing organic rice, and to segment organic rice market in Bangkok. Moreover, the study tends to identify the best clustering techniques, between latent class cluster analysis (LCCA) and traditional cluster analysis (CA), for precise segmentation. Design/methodology/approach Best–worst scaling (BWS) method was applied to measure the level of relative importance of organic rice attributes. Then, LCCA and CA techniques were applied to recognize market segmentation. Finally, homogeneity and heterogeneity of the resulting clusters were determined to compare performance of the two clustering techniques. Findings The LCCA technique was identified better than the CA in classification of consumers. According to LCCA solution, the organic rice market in Bangkok (Thailand) consisted of six distinct clusters, which can be grouped into three categories based on consumers’ profile. Organic rice consumer categories were identified as “Art of eating” and “Superior quality seeker” clusters focusing on special features and quality of the organic rice; consumer category “Basic concern” cluster heavily relied on organic certification logo and manufacturing information; and other consumer categories were “Price driven,” “Eyes on price” and “Thorough explorer” clusters. Originality/value This study first applies BWS score to examine consumers’ preference for organic rice attributes and segments market, providing results for practical use for retailers, producers and marketers.

Sustainability certifications and product preference

2020 ◽  
Vol 38 (7) ◽  
pp. 893-906
Author(s):  
Maximilian Prell ◽  
Marco Tulio Zanini ◽  
Fabio Caldieraro ◽  
Carmen Migueles
Keyword(s):  
Consumer Preferences ◽  
Consumer Preference ◽  
Developed Countries ◽  
Content Type ◽  
Product Certification ◽  
Organic Certification ◽  
Food Market ◽  
The One ◽  
Targeting Strategy ◽  
Small Advantage

PurposeThe aim of this study is to investigate the influence of sustainability certifications on consumer preferences. The study investigates whether product certifications have a significant influence on consumer preferences and examines which certificate groups work best from a marketer's perspective for matching the different consumer preferences.Design/methodology/approachThe study uses a quantitative survey approach, based on a conjoint analysis carried out in the Brazilian juice market.FindingsThe results of 210 respondents indicate that the certifications chosen generally increase the evaluation of products. The effects, however, differ significantly between the three segments identified, especially between the two most important ones that have a combined market share of almost 90%. Our results show that demographic differences between the clusters are only marginal, as are the specific certification preferences, with a small advantage for organic certification.Research limitations/implicationsThe certificates chosen serve as an example that represents the various categories. The utility of similar certificates of the same category might be different. The scope of the research is also limited to the market for ready-to-drink juice.Practical implicationsUsing a dual targeting strategy, this study makes relevant recommendations for managing product certification. On the one hand, managers should consider a highly priced, certified product and, on the other, a low priced, uncertified product for satisfying identified demands. Decisions with regard to certification differentiation should mostly rely on the specific costs of the process because of limited consumer differentiation.Originality/valueThis study contributes to the literature on the influence that product certification has on consumer preferences by adding to the matter of certificate choice, especially from a marketer's perspective. Resolving this issue is important for facilitating the choice of those certificates that contribute most toward increasing consumer preference. Little research has been conducted into different certification groups and categories or the joint appearance of their different labels. Most of the research being carried out is aimed at the food market in developed countries, particularly in North America and Europe. Research in an emerging economy, therefore, introduces new scientific insights.

scholarly journals Consumer Preference Heterogeneity Evaluation in Fruit and Vegetable Purchasing Decisions Using the Best–Worst Approach

Foods ◽  
2019 ◽  
Vol 8 (7) ◽  
pp. 266 ◽  
Author(s):  
Stefano Massaglia ◽  
Danielle Borra ◽  
Cristiana Peano ◽  
Francesco Sottile ◽  
Valentina Merlino
Keyword(s):  
Latent Class ◽  
Consumer Preferences ◽  
Consumer Preference ◽  
Total Sample ◽  
Preference Heterogeneity ◽  
Fruit And Vegetable ◽  
Sociodemographic Variables ◽  
Organic Certification ◽  
Point Of Purchase ◽  
Open Air Markets

This study assesses consumer preferences during fruit and vegetable (FV) sales, considering the sociodemographic variables of individuals together with their choice of point of purchase. A choice experiment was conducted in two metropolitan areas in Northwest Italy. A total of 1170 consumers were interviewed at different FV purchase points (mass retail chains and open-air markets) using a paper questionnaire. The relative importance assigned by consumers to 12 fruit and vegetable product attributes, including both intrinsic and extrinsic quality cues, was assessed by using the best–worst scaling (BWS) methodology. The BWS results showed that “origin”, “seasonality”, and “freshness” were the most preferred attributes that Italian consumers took into account for purchases, while no importance was given to “organic certification”, “variety”, or “brand”. Additionally, a latent class analysis was employed to divide the total sample into five different clusters of consumers, characterized by the same preferences related to FV attributes. Each group of individuals is described on the basis of sociodemographic variables and by the declared fruit and vegetable point of purchase. This research demonstrates that age, average annual income, and families with children are all discriminating factors that influence consumer preference and behavior, in addition to affecting which point of purchase the consumer prefers to acquire FV products from.

scholarly journals Consumer Preferences for Private Label Brand vs. National Brand Organic Juice and Eggs: A Latent Class Approach

2021 ◽  
Vol 13 (13) ◽  
pp. 7028
Author(s):  
Ellen J. Van Loo ◽  
Fien Minnens ◽  
Wim Verbeke
Keyword(s):  
Orange Juice ◽  
Latent Class ◽  
Consumer Preferences ◽  
Latent Class Model ◽  
Organic Food ◽  
Food Products ◽  
Organic Production ◽  
Private Label ◽  
National Brand ◽  
Major Barrier

Many retailers have expanded and diversified their private label food product assortment by offering premium-quality private label food products such as organic products. With price being identified as the major barrier for organic food purchases, private label organic food products could be a suitable and more affordable alternative for many consumers. While numerous studies have examined consumer preferences for organic food, very few organic food studies have incorporated the concept of private labels. This study addresses this research gap by studying consumer preferences and willingness to pay for national brand and private label organic food using a latent class model. Specifically, this study analyzes consumer preferences for organic eggs and orange juice and the effect of national branding versus private label. Findings show heterogeneity in consumer preferences for production method and brand, with three consumer segments being identified based on their preferences for both juice and eggs. For eggs, about half of the consumers prefer private label and organic production, whereas one-quarter clearly prefers organic, and another quarter is indifferent about the brand and the organic production. For orange juice, the majority (75%) prefer the national brand. In addition, one-quarter of the consumers prefers organic juice, and about one-third values both organic and the national brand.

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.

scholarly journals Customers’ Mode Choice Behaviors of Express Service Based on Latent Class Analysis and Logit Model

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Lian Lian ◽  
Shuo Zhang ◽  
Zhong Wang ◽  
Kai Liu ◽  
Lihuan Cao
Keyword(s):  
Logit Model ◽  
Choice Behavior ◽  
Latent Class ◽  
Latent Class Model ◽  
Policy Research ◽  
Multinomial Logit Model ◽  
Class Model ◽  
Taste Heterogeneity ◽  
Using Data ◽  
Service Choice

As the parcel delivery service is booming in China, the competition among express companies intensifies. This paper employed multinomial logit model (MNL) and latent class model (LCM) to investigate customers’ express service choice behavior, using data from a SP survey. The attributes and attribute levels that matter most to express customers are identified. Meanwhile, the customers are divided into two segments (penny pincher segment and high-end segment) characterized by their taste heterogeneity. The results indicate that the LCM performs statistically better than MNL in our sample. Therefore, more attention should be paid to the taste heterogeneity, especially for further academic and policy research in freight choice behavior.

Entrepreneurial intentions and perceived barriers to entrepreneurship among youth in Uttarakhand state of India

2018 ◽  
Vol 10 (4) ◽  
pp. 243-269 ◽  
Author(s):  
Lalit Sharma
Keyword(s):  
Interactive Effect ◽  
Cultural Dimensions ◽  
Perceived Barriers ◽  
Entrepreneurial Intentions ◽  
Primary Data ◽  
Cultural Perspective ◽  
Validity And Reliability ◽  
Content Type ◽  
Regional Cultures ◽  
The Impact

Purpose The purpose of this paper is to investigate the role of gender and regional cultures on entrepreneurial intentions and perceived barriers to entrepreneurship in two diverse regions of a state. Authors in the past have consistently expressed the need for studies on entrepreneurial intentions that would encompass both the gender and cultural dimensions, as there is a potential interactive effect between sex and culture, which remains largely unstudied despite its potential to provide an explanation for the contradictory findings that have emerged when either sex or culture was studied separately. Design/methodology/approach This is a quantitative study. The primary data were derived from the students of professional courses. The sampling method used was proportionate stratified sampling. The scales used were tested with regard to validity and reliability. The chi-square test, Fisher’s exact test and Mann–Whitney U test were used to draw relationships between the variables. Findings The findings indicated significant gender differences in perceptions of barriers and entrepreneurial intentions among youth. The findings also showed that the barrier perceptions and the entrepreneurial intentions between genders vary with change in culture at the regional level. Originality/value This paper adds to the very limited research available on perceived barriers and entrepreneurial intentions that focuses on the effect of gender from a cross-cultural perspective. This paper further contributes by testing the results in two culturally diverse regions of a single state of India, which has helped us understand the impact of regional cultures while controlling for the effects of the entrepreneurship support systems provided by the governments in different nations.

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.

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