scholarly journals Consumers’ willingness to pay for organic, clean label, and processed with a new food technology: an application to ready meals

2021 ◽  
pp. 1-18
Author(s):  
Azhar Uddin ◽  
R. Karina Gallardo
Keyword(s):  
Willingness To Pay ◽  
Online Survey ◽  
Latent Class ◽  
New Technology ◽  
Consumer Preference ◽  
Preference Assessment ◽  
Complete Information ◽  
Food Technology ◽  
Heterogeneous Preferences ◽  
Processing Technologies

Agri-food companies face the challenge that clean labels and organic are not possible for some processed foods – such as shelf-stable ready meals – with existing processing technologies. This study uses data collected via an online survey and estimates consumers’ willingness to pay for the attributes organic, clean label, and processed with a new food technology in a ready meal. Based on previous literature, one would expect that consumers who prefer a clean label would also prefer a product that is certified organic. However, it was found that consumers who frequently purchase ready meals, prefer a clean label over the organic certification. Results from a latent class analysis identified three classes of consumers within the sample of respondents, the pro-organic and clean label consumer, the pro-clean label and new technology, and the indifferent consumer. The classes of consumers identified in this study, showed heterogeneous preferences towards the organic and clean label attributions, which emphasizes the need to complement the consumer preference assessment with a segmentation analysis. Our findings highlight the importance of technological innovations and the need of presenting consumers with complete information on the new food technologies to mitigate potential neophobias due to unfamiliarity.

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.

scholarly journals A Choice Based Experiment of Community Supported Agriculture (CSA): A Valuation of Attributes

2018 ◽  
Vol 48 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Qiushuo Yu ◽  
Ben Campbell ◽  
Yizao Liu ◽  
Jiff Martin
Keyword(s):  
Willingness To Pay ◽  
Choice Experiment ◽  
Online Survey ◽  
Risk Mitigation ◽  
Consumer Preference ◽  
Community Supported Agriculture ◽  
Organic Products

Community-supported agriculture (CSA) operators are becoming more innovative in their efforts to attract consumers to become CSA shareholders. Therefore, CSA operators must understand which attributes consumers value. Using an online survey of Connecticut consumers in conjunction with a choice experiment, we evaluate consumer preference and willingness to pay for various attributes, including risk mitigation. We find younger consumers are more likely to prefer CSAs with organic products, while a greater diversity of products in the CSA share will increase preference for a CSA for some consumers. Further, we find that consumers with and without CSA experience value the risk-mitigation attribute.

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.

scholarly journals Consumer preference and willingness to pay for tomato juice

2018 ◽  
Vol 21 (8) ◽  
pp. 1167-1183 ◽  
Author(s):  
Yaozhou Zhu ◽  
Meng Shen ◽  
Charles A. Sims ◽  
Maurice R. Marshall ◽  
Lisa A. House ◽  
...  
Keyword(s):  
Willingness To Pay ◽  
Online Survey ◽  
Consumer Preference ◽  
The United States ◽  
Tomato Juice ◽  
Purchase Intent ◽  
Purchase Decisions ◽  
Sensory Panel ◽  
Nation Wide Survey ◽  
Aroma Notes

Tomato juice has gained popularity in recent decades. However, little is known about tomato juice consumers in the United States. The goal of this research was to determine consumer attitudes towards current tomato juice offerings and willingness to pay for high flavor quality products. A sensory panel and a nation-wide survey were conducted to learn about consumer preference toward tomato juice consumption. A new “label”, including taste review ratings, was incorporated into a choice experiment to verify whether this information successfully assisted consumers in their purchase decisions. Both the sensory analysis and the consumer online survey showed a demand for tomato juice with better flavor. The results suggest that a premium quality tomato juice with fresh aroma notes and better taste made from a premium tomato will encourage consumer purchase intent. Consumers would be willing to pay up to 30% more if trusted taste review score information was provided.

scholarly journals Patient preferences in the treatment of hemophilia A: A latent class analysis

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0256521
Author(s):  
Axel C. Mühlbacher ◽  
Andrew Sadler ◽  
Björn Lamprecht ◽  
Christin Juhnke
Keyword(s):  
Online Survey ◽  
Latent Class ◽  
Hemophilia A ◽  
Statistical Significance ◽  
Latent Class Model ◽  
Specific Treatment ◽  
Heterogeneous Preferences ◽  
Inhibitor Development ◽  
Study Results ◽  
Treatment Alternatives

Objective To examine subgroup-specific treatment preferences and characteristics of patients with hemophilia A. Methods Best–Worst Scaling (BWS) Case 3 (four attributes: application type; bleeding frequencies/year; inhibitor development risk; thromboembolic events of hemophilia A treatment risk) conducted via online survey. Respondents chose the best and the worst option of three treatment alternatives. Data were analyzed via latent class model (LCM), allowing capture of heterogeneity in the sample. Respondents were grouped into a predefined number of classes with distinct preferences. Results The final dataset contained 57 respondents. LCM analysis segmented the sample into two classes with heterogeneous preferences. Preferences within each were homogeneous. For class 1, the most decisive factor was bleeding frequency/year. Respondents seemed to focus mainly on this in their choice decisions. With some distance, inhibitor development was the second most important. The remaining attributes were of far less importance for respondents in this class. Respondents in class 2 based their choice decisions primarily on inhibitor development, also followed, by some distance, the second most important attribute bleeding frequency/year. There was statistical significance (P < 0.05) between the number of annual bleedings and the probability of class membership. Conclusions The LCM analysis addresses heterogeneity in respondents’ choice decisions, which helps to tailor treatment alternatives to individual needs. Study results support clinical and allocative decision-making and improve the quality of interpretation of clinical data.

Visitor Satisfaction of the Palace Museum Website in China: An Empirical and Integrated Model

2019 ◽  
Vol 10 (5) ◽  
pp. 421-437
Author(s):  
Qiong Dang ◽  
Keyword(s):  
Online Survey ◽  
Positive Impact ◽  
New Technology ◽  
Perceived Usefulness ◽  
System Quality ◽  
Visitor Satisfaction ◽  
Digital Era ◽  
Managerial Implications ◽  
Museum Websites ◽  
Perceived Usability

In 2001, the website of the Palace Museum was opened to the public, marking that museum’s first step into the digital era in China. Numerous studies and much research has concentrated on how to employ this new technology in order to digitize the museum and its collection. However, little attention has been paid to research regarding visitor satisfaction’s regarding museum websites in China. This research aims to fill the gap. Consequently, this conceptual model has been proposed, and the Palace Museum website was as the research objective. Empirical methodology has been applied and the online survey was created to gather data, which results in a total of 557 questionnaires being analyzed though the SPSS 20.0. The findings demonstrate that system quality, perceived usefulness, perceived usability, and the museum’s image have a positive impact on visitor satisfaction regarding their continuance intention. Furthermore, managerial implications are proposed for museum practitioners.

scholarly journals Effects of Ad-hoc Data Truncation and Homogeneous Preferences on Recreational Demand and Values: An Application to the George Washington and Jefferson National Forests

2021 ◽  
pp. 1-15
Author(s):  
Kavita Sardana ◽  
John C. Bergstrom ◽  
J. M. Bowker
Keyword(s):  
Latent Class ◽  
Ad Hoc ◽  
Cost Model ◽  
Consumer Surplus ◽  
Poisson Model ◽  
Travel Cost ◽  
National Forests ◽  
Heterogeneous Preferences ◽  
George Washington ◽  
Travel Cost Model

Abstract We estimate a travel cost model for the George Washington & Jefferson National Forests using an On-Site Latent Class Poisson Model. We show that the constraints of ad-hoc truncation and homogenous preferences significantly impact consumer surplus estimates derived from the on-site travel cost model. By relaxing the constraints, we show that more than one class of visitors with unique preferences exists in the population. The resulting demand functions, price responsive behaviors, and consumer surplus estimates reflect differences across these classes of visitors. With heterogeneous preferences, a group of ‘local residents’ exists with a probability of 8% and, on average take 113 visits.

scholarly journals Consumer Preferences and Willingness to Pay for Potting Mix with Biochar

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3432
Author(s):  
McKenzie Thomas ◽  
Kimberly L. Jensen ◽  
Dayton M. Lambert ◽  
Burton C. English ◽  
Christopher D. Clark ◽  
...  
Keyword(s):  
Willingness To Pay ◽  
Online Survey ◽  
Product Information ◽  
Consumer Preferences ◽  
Market Potential ◽  
Marginal Costs ◽  
Consumer Demographics ◽  
Market Shares ◽  
Potential Market ◽  
Dedicated Energy Crops

Biochar is a co-product of advanced biofuels production from feedstocks including food, agricultural, wood wastes, or dedicated energy crops. Markets for soil amendments using biochar are emerging, but little is known about consumer preferences and willingness to pay (WTP) for these products or the depth of the products’ market potential for this product. This research provides WTP estimates for potting mix amended with 25% biochar, conditioned on consumer demographics and attitudes about product information labeling. Data were collected with an online survey of 577 Tennessee home gardeners. WTP was elicited through a referendum contingent valuation. Consumer WTP for an 8.81 L bag of 25% biochar potting mix is $8.52; a premium of $3.53 over conventional potting mix. Demographics and attitudes toward biofuels and the environment influence WTP. Biochar amounts demanded are projected for the study area’s potential market. Optimal prices, profits, and market shares are estimated across different marginal costs of producing biochar potting mix.

scholarly journals A survey of clinicians on the use of artificial intelligence in ophthalmology, dermatology, radiology and radiation oncology

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jane Scheetz ◽  
Philip Rothschild ◽  
Myra McGuinness ◽  
Xavier Hadoux ◽  
H. Peter Soyer ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
New Zealand ◽  
Radiation Oncology ◽  
Online Survey ◽  
New Technology ◽  
Medical Liability ◽  
Healthcare Outcomes ◽  
Medical Workforce ◽  
Artificial Intelligence Technology ◽  
Workforce Needs

AbstractArtificial intelligence technology has advanced rapidly in recent years and has the potential to improve healthcare outcomes. However, technology uptake will be largely driven by clinicians, and there is a paucity of data regarding the attitude that clinicians have to this new technology. In June–August 2019 we conducted an online survey of fellows and trainees of three specialty colleges (ophthalmology, radiology/radiation oncology, dermatology) in Australia and New Zealand on artificial intelligence. There were 632 complete responses (n = 305, 230, and 97, respectively), equating to a response rate of 20.4%, 5.1%, and 13.2% for the above colleges, respectively. The majority (n = 449, 71.0%) believed artificial intelligence would improve their field of medicine, and that medical workforce needs would be impacted by the technology within the next decade (n = 542, 85.8%). Improved disease screening and streamlining of monotonous tasks were identified as key benefits of artificial intelligence. The divestment of healthcare to technology companies and medical liability implications were the greatest concerns. Education was identified as a priority to prepare clinicians for the implementation of artificial intelligence in healthcare. This survey highlights parallels between the perceptions of different clinician groups in Australia and New Zealand about artificial intelligence in medicine. Artificial intelligence was recognized as valuable technology that will have wide-ranging impacts on healthcare.

The Interaction between Consumer Preference and Product Ethics: Implications on Coffee Trade in China

2014 ◽  
Vol 15 (1) ◽  
pp. 1-22
Author(s):  
Ping Qing ◽  
Wuyang Hu ◽  
Yun Liu
Keyword(s):  
Willingness To Pay ◽  
Linear Relationship ◽  
Consumer Preference ◽  
Regression Technique ◽  
Social Implications ◽  
Basic Definition ◽  
Amount Of Information ◽  
Product Choices

This study examines consumers??ethics concerns on their product choices in the context of coffee in China. Using an in-person survey, an interval regression technique was used to elicit willingness to pay. Respondents were randomly assigned to one of three different information scenarios including product ethics: basic definition, impact on sustainability and the environment, and information including both environmental and social implications. Results indicated that information played an important role in determining what types of consumers were responsive to ethical production. Furthermore, the amount of information provided and consumer willingness to pay did not follow a linear relationship.

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