scholarly journals What Attributes Are Consumers Looking for in Sweet Cherries? Evidence from Choice Experiments

2016 ◽  
Vol 45 (1) ◽  
pp. 124-142 ◽  
Author(s):  
Xibei Zheng ◽  
Chengyan Yue ◽  
Karina Gallardo ◽  
Vicki McCracken ◽  
James Luby ◽  
...  
Keyword(s):  
Logit Model ◽  
Latent Class ◽  
Consumer Preferences ◽  
Mixed Logit ◽  
Fruit Size ◽  
Choice Experiments ◽  
Marketing Strategies ◽  
Sweet Cherries ◽  
Targeted Marketing ◽  
And Storage

We investigate heterogeneous consumer preferences and willingness to pay (WTP) for various sweet cherry attributes using choice experiments. A mixed logit model and a latent-class logit model are used to estimate consumer WTP for the attributes and identify groups of consumers based on those preferences. We find that consumers of sweet cherries will pay the greatest premium for sweetness and the smallest premium for fruit size. Three groups of consumers are identified—flavor sensitive, price sensitive, and storage sensitive. The results are useful for suppliers of sweet cherries when adopting targeted marketing strategies.

scholarly journals Consumer Preferences for Sustainable Product Attributes and Farm Program Features

2020 ◽  
Vol 12 (18) ◽  
pp. 7388
Author(s):  
Chengyan Yue ◽  
Yufeng Lai ◽  
Jingjing Wang ◽  
Paul Mitchell
Keyword(s):  
Fair Trade ◽  
Logit Model ◽  
Latent Class ◽  
Consumer Preferences ◽  
Choice Experiments ◽  
Price Premium ◽  
Latent Class Logit ◽  
Sustainable Product ◽  
Locally Grown ◽  
Farm Program

Previous literature primarily focused on consumers’ preference for specific sustainable attributes, such as a product being organic, eco-friendly, locally grown, and fair trade. Little is known about consumers’ preference for sustainable program features. We conduct two online choice experiments with U.S. consumers and find that consumers consistently care about farmers’ engagements in sustainable programs, and they are willing to pay a price premium for products from such programs. Consumers also value promoting science in sustainability, establishing concrete measurements of sustainability, and communicating sustainable practices with consumers and downstream industries. We apply the latent class logit model to investigate the potential segmentation of consumers. Three consumer segments are identified based on participants’ heterogeneity in preferences. Our research provides useful information for designing new sustainability programs.

Preferences Toward COVID-19 Diagnostic Testing Features: Results From a National Cross-Sectional Survey

2021 ◽  
pp. 089011712110340
Author(s):  
Bhagyashree Katare ◽  
Shuoli Zhao ◽  
Joel Cuffey ◽  
Maria I. Marshall ◽  
Corinne Valdivia
Keyword(s):  
Logit Model ◽  
Nasal Swab ◽  
Latent Class ◽  
Diagnostic Testing ◽  
Mixed Logit ◽  
Monetary Incentive ◽  
Monetary Incentives ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Nationally Representative

Purpose: Describe preferences toward COVID-19 testing features (method, location, hypothetical monetary incentive) and simulate the effect of monetary incentives on willingness to test. Design: Online cross-sectional survey administered in July 2020. Subjects: 1,505 nationally representative U.S. respondents. Measures: Choice of preferred COVID-19 testing options in discrete choice experiment. Options differed by method (nasal-swab, saliva), location (hospital/clinic, drive-through, at-home), and monetary incentive ($0, $10, $20). Analysis: Latent class conditional logit model to classify preferences, mixed logit model to simulate incentive effectiveness. Results: Preferences were categorized into 4 groups: 34% (n = 517) considered testing comfort (saliva versus nasal swab) most important, 27% (n = 408) were willing to trade comfort for monetary incentives, 19% (n = 287) would only test at convenient locations, 20% (n = 293) avoided testing altogether. Relative to no monetary incentives, incentives of $100 increased the percent of testing avoiders (16%) and convenience seekers (70%) that were willing to test. Conclusion: Preferences toward different COVID-19 testing features vary, highlighting the need to match testing features with individuals to monitor the spread of COVID-19.

Attribute Non-Attendance and Consumer Preferences for Online Food Products in Germany

2020 ◽  
Vol 69 (1) ◽  
pp. 31-48
Author(s):  
P. Christoph Richartz ◽  
Lukas Kornher ◽  
Awudu Abdulai
Keyword(s):  
Latent Class ◽  
Consumer Preferences ◽  
Mixed Logit ◽  
Meat Products ◽  
Food Product ◽  
Latent Class Models ◽  
Preference Heterogeneity ◽  
Significant Heterogeneity ◽  
Processing Strategies ◽  
Class Models

In this article, we apply a choice experiment meth-od to examine consumers’ preferences for online food product attributes, using survey data for German consumers for meat products. We use both mixed logit and latent class models to analyze preference heterogeneity and sources of heterogeneity, as well as endogenous attribute attendance models to account for consumers’ attribute processing strategies. The empirical results reveal significant heterogeneity in preferences for online meat attributes among consumers. We also find that consumers’ willingness to pay estimates are highly influenced by their attribute processing strategies.

Exploring Differences in Preference Heterogeneity Representation and Their Influence in Product Family Design

2011 ◽  
Author(s):  
Eric Sullivan ◽  
Scott Ferguson ◽  
Joseph Donndelinger
Keyword(s):  
Logit Model ◽  
Latent Class ◽  
Latent Class Model ◽  
Mixed Logit ◽  
Multinomial Logit Model ◽  
Hierarchical Bayes ◽  
Product Line ◽  
Combinatorial Design ◽  
Preference Heterogeneity ◽  
Target Market

When using conjoint studies for market-based design, two model types can be fit to represent the heterogeneity present in a target market, discrete or continuous. In this paper, data from a choice-based conjoint study with 2275 respondents is analyzed for a 19-attribute combinatorial design problem with over 1 billion possible product configurations. Customer preferences are inferred from the choice task data using both representations of heterogeneity. The hierarchical Bayes mixed logit model exemplifies the continuous representation of heterogeneity, while the latent class multinomial logit model corresponds to the discrete representation. Product line solutions are generated by each of these model forms and are then explored to determine why differences are observed in both product solutions and market share estimates. These results reveal some potential limitations of the Latent Class model in the masking of preference heterogeneity. Finally, the ramifications of these results on the market-based design process are discussed.

scholarly journals Predicting Consumer Preferences for Fresh Salmon: The Influence of Safety Inspection and Production Method Attributes

1998 ◽  
Vol 27 (1) ◽  
pp. 1-14 ◽  
Author(s):  
Daniel Holland ◽  
Cathy R. Wessells
Keyword(s):  
Logit Model ◽  
Consumer Preferences ◽  
Demographic Data ◽  
Mail Survey ◽  
Production Method ◽  
Marketing Strategies ◽  
Relative Importance ◽  
Ordered Logit Model ◽  
Relative Attractiveness ◽  
Using Data

A rank-ordered logit model is estimated using data collected by a mail survey of consumers in the northeastern and mid-Atlantic United States. The methodology, based on conjoint analysis, determines the average relative importance and value of three product attributes for fresh salmon (seafood inspection, production method, and price), and estimates the relative attractiveness of particular products to consumers. When used in combination with demographic data and responses to questions on perceptions, the analysis suggests market segmentations and potential marketing strategies based on the heterogeneity in preferences among consumers.

scholarly journals The Heterogeneity of Consumer Preferences for Meat Safety Attributes in Traditional Markets

Foods ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 624
Author(s):  
Widya Satya Nugraha ◽  
Shang-Ho Yang ◽  
Kiyokazu Ujiie
Keyword(s):  
Food Safety ◽  
Cold Storage ◽  
Logit Model ◽  
Latent Class ◽  
Product Information ◽  
Consumer Preferences ◽  
Latent Class Model ◽  
Qr Code ◽  
Traditional Markets ◽  
Additional Product

In this study, we focus principally on Taiwan’s traditional markets, as food safety issues in those markets have been increasing recently. Thus, this poses pressures and challenges in traditional markets in terms of attracting consumers. This research aims to investigate whether there is consumer demand for more quality improvement from butchers and additional product information in Taiwan’s traditional markets by surveying consumers’ willingness to pay (WTP). This study determines consumers’ preferences for the important attributes and also investigates the different consumer segmentation in Taiwan’s traditional markets by analyzing the types of Taiwanese consumers who care about food safety and additional product information, including Taiwan Fresh Pork (TFP), QR code (provides product source information), Cold storage, and price. In this study, both Mixed Logit Model and Conditional Logit Model are used to elicit consumers’ WTP, and the Latent Class Model is used to understand the market segmentation in Taiwan’s traditional markets. The results show that the majority of Taiwanese consumers in traditional markets show preferences and WTP for meat products if cold storage and QR code are available in Taiwan’s traditional markets. This work also provides appropriate strategies for improving the additional product information in Taiwan’s traditional markets, which can influence present and potential customers purchasing decisions.

scholarly journals Clean Label Trade-Offs: A Case Study of Plain Yogurt

2021 ◽  
Vol 8 ◽  
Author(s):  
Sara Maruyama ◽  
Juyun Lim ◽  
Nadia A. Streletskaya
Keyword(s):  
Willingness To Pay ◽  
Consumer Choice ◽  
Food Industry ◽  
Latent Class ◽  
Corn Starch ◽  
Consumer Preferences ◽  
Negative Impact ◽  
Mixed Logit ◽  
Logit Analysis ◽  
Trade Offs

Consumer demand for clean label has risen in recent years. However, clean label foods with simple and minimalistic ingredient lists are often expensive to produce and/or may possess less desirable sensory qualities. Accordingly, understanding consumer preferences regarding the clean label trend would be of great interest to the food industry. Here we investigate how ingredient lists and associated sensory quality descriptions may influence consumer preferences using a hypothetical choice experiment. In particular, we test the impacts of four common stabilizers (carrageenan, corn starch, milk protein concentrate, and pectin) and textural characteristics on preferences and willingness to pay for plain yogurt. A total of 250 yogurt consumers participated in the study. The results of a mixed logit analysis suggest that clean labeling significantly increases the likelihood of consumer choice, while poor texture reduces consumer choice. More importantly, the negative impact of poor texture seems to be less significant for clean label yogurts compared to that for yogurts with longer ingredient lists. Among all stabilizers, corn starch in particular has a significant negative impact on consumer choice. The estimated average consumer willingness to pay for clean labels is between $2.54 and $3.53 for 32 oz yogurt formulations. Furthermore, clean labels minimize the negative impact of textural defects with consumers willing to pay an estimated premium of $1.61 for the family size yogurt with a simple ingredient list. Results of latent class modeling reveal two classes of consumers with similar patterns of demand who prefer clean labels and, on average, would rather purchase a yogurt with a textural defect than opt out of purchasing a yogurt entirely. Implications for the food industry are discussed.

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