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.

A sustainable future for the community is one of the objectives established by the European Union Agenda 2030. Furthermore, sustainable consumption has been identified as one of the possible trajectories for sustainable development. It is for this reason that food production, distribution and consumption ways cannot be overlooked for sustainability achievement, as well as the consumer’s related perception. In this research the Best–Worst scaling methodology was adopted to explore the priorities declared by a sample of 801 consumers among 12 different sustainability definitions selected from the scientific literature. The choice experiment was carried out through face-to-face interviews during two food and wine events closely related to the sustainability theme in the food sector. The respondents considered as sustainability priority definition the “preservation of natural resources”, followed by “decent working conditions” and “accessibility for everyone to healthy and safe food”. Moreover, 5 consumer’s clusters were identified according to the priorities assigned to the different sustainability definitions, as well as to individuals socio-demographic characteristics. The description of the priorities assigned by the clusters to the different sustainability definitions have also been described as guidelines for consumer attitudes towards the different sustainability dimensions (environmental, social, economic and governance).

Honey production is currently experiencing a great deal of media attention, with many positive attributes of this hive product emerging. The purpose of the study is to investigate consumer preference and what key information informs people’s purchase of honey. This study is based on consumer surveys and experimental evaluation. First of all, the relative importance assigned by consumers to 12 honey product attributes was defined by using the best–worst scaling (BWS) methodology. Secondly, the latent class analysis (LCA) was used to identify different honey consumers based on preferences. The findings demonstrate that “health aspects” and “organoleptic compound” are the main categories of information that consumers tend to research. The sample segmentation defined four different consumer clusters: people who value health, sustainability, organic sourcing and quality. Additionally, socio-demographic characteristics such as age, education level and profession also played a part on consumer choice and the characterisation of each cluster. This study can contribute to fostering good nutrition and improving sustainability within communities.

This research explored the preferences and buying habits of a sample of 620 consumers of fresh-cut, ready-to-eat salads. A best–worst scaling approach was used to measure the level of preference stated by individuals regarding 12 attributes for quality (intrinsic, extrinsic and credence) of fresh-cut salads. The experiment was carried out through direct interviews at several large-scale retail outlets in the Turin metropolitan area (north-west of Italy). Out of the total number of questioned consumers, 35% said they did not consume fresh-cut salads. On the contrary, the rest of the involved sample expressed the highest degree of preference towards the freshness/appearance attribute, followed by the expiration date and the brand. On the contrary, attributes such as price, organic certification and food safety did not emerge as discriminating factors in consumer choices. Additionally, five clusters of consumers were identified, whose preferences are related both to purchasing styles and socio-demographic variables. In conclusion, this research has highlighted the positive attitude of consumers towards quality products backed by a brand, providing ideas for companies to improve within this sector and implement strategies to answer the needs of a new segment of consumers, by determining market opportunities that aim to strengthen local brands.

Meat consumers around the world are increasingly paying attention to product quality and safety, and are starting to reduce their meat consumption, especially with regard to red meat. This trend is prevalent in households with children who prefer health-certified meat products. Our study compares meat consumption habits in households with and without children or adolescences (0–18 years). A structured questionnaire was distributed to 401 retail purchasers at 12 different points of sales of meat in the Piedmont region in northwest Italy. Socio-demographic variables and quantitative-qualitative meat consumption habits of retail purchasers were investigated. One part of the questionnaire analyzed the relative importance of 12 meat choice purchasing attributes by employing the Best-Worst scaling methodology, a type of choice experiment. Our research found that households without children (subset B) have higher weekly meat consumption habits than those with children (subset A). Alternatively, the households with children (subset A) have a diet characterized by a greater variety of protein sources, such as legumes and fish. Both of the considered subsets preferred trusted butchers for meat buying, with supermarkets as a second choice. However, only consumers of subset A bought meat from farm butchers. Our team performed a consumer analysis to identify meat consumption patterns in the two considered subsets. Simultaneously, a Best-Worst analysis evidenced several choice attributes with different relevance for the two investigated samples segmentation in three clusters of purchase.

This study reports some preliminary results on mechanical blueberry harvesting for the fresh market of cv. Cargo^® in the Piedmont region (northwest Italy). The investigated area is one of the most productive areas of Italy, which specializes in fresh blueberry production. The automatization of harvesting operations could represent a competitive advantage for the area’s blueberry supply chain but could limit the quality of fresh-picked berries. A prototype machine and a commercial harvester (Easy Harvester^®) were compared with manual picking, considering the harvesting efficiency, labor productivity, harvesting cost and farm rentability. In this context, the labor cost for manual harvesting exceeds EUR 2.00 per kg of saleable product. The prototype allowed a 39% cost reduction, and the Easy Harvester^® reduced it by about half. Nevertheless, these positive performances do not consider the reduction in the net sale price of EUR 0.40 due to the selection costs in the warehouse. In this study, we highlight that the transition to mechanical harvesting requires the transformation of several farming and packhouse operations, such as new crop varieties, field configurations and cultivation techniques. However, a possible technical improvement of the Easy Harvester^® could represent an opportunity for Italian farms in the planning of berry production and marketing, involving all of the supply chain actors. Further research on the use of mechanization in the sector must continue and be supported.