The Impact of Sustainability Aspects in the Meat Sector: A Cluster Analysis Based on Consumer Attitudes and Store Format Choice

Pirsich, Wiebke; Weinrich, Ramona

doi:10.1080/08974438.2018.1494076

Cited by 5 publications

(7 citation statements)

References 38 publications

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“…and Oltra on consumer liking of grilled lamb longissimus lumborum and grilled beef steak longissimus dorsi showed that the cluster groups were segregated by their liking of lamb or beef instead of demographic factors (age, gender, income, occupation, number of children or adults in the household). In addition, preference in meat packaging and store format choice of consumers was investigated by using cluster analysis, and only a small preference for unpackaged meat products was found in the target market …”

Section: Literature On the Differences In Consumer Liking Of Beefmentioning

confidence: 99%

Understanding consumer liking of beef using hierarchical cluster analysis and external preference mapping

et al. 2019

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BACKGROUND: This study was conducted to assess whether there are differences in consumer liking of beef. Samples were collected from different groups and analyses were conducted, including quantitative descriptive analysis, consumer panels and instrumental analyses. Palatability traits, such as aroma liking, tenderness, juiciness, flavour liking and overall liking (OL), were rated by consumers.RESULTS: Warner-Bratzler shear force was negatively associated with tender mouthfeel and consumer tenderness score. Cluster analysis identified four groups of clusters, which were described as 'easily pleased', 'bull beef liker', 'tender beef liker' and 'fastidious' consumers. Cluster group 2 awarded a higher score for bulls and located in a separate region on the external preference map. CONCLUSION: External preference mapping showed the association between consumer liking of beef and sensory attributes.

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Section: Literature On the Differences In Consumer Liking Of Beefmentioning

confidence: 99%

Understanding consumer liking of beef using hierarchical cluster analysis and external preference mapping

et al. 2019

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“…The tests that examined the quality of EFA met the common requirements. In particular, the Kaiser-Meyer-Olkin (KMO) measure was 0.880, indicating that the data employed were adequate for the PCA (77,80). The Bartlett's test of Sphericity was highly significant (Chi-square = 427.980, p < 0.01) showing that the variables were correlated and suitable for structure detection.…”

Section: The Impact Of Covid-19 Crisis On Agricultural Productionmentioning

confidence: 95%

“…With respect to the application of EFA in the 14-item scale, the KMO measure of sampling adequacy was 0.815, implying data suitability for the PCA (77,80). Furthermore, the Bartlett's test of Sphericity was highly significant (Chi-square = 418.057, p < 0.01).…”

Section: The Impact Of Covid-19 Crisis On Food Production and Food Pr...mentioning

confidence: 98%

“…Second, the validity of hierarchical clustering was enhanced by k-means algorithm, in which it was set a priori the number of clusters resulted from the Ward's hierarchical clustering method. Finally, the cluster structure was further validated by discriminant analysis, which estimated a discriminant function for examining the accuracy by which the study participants were allocated in the clusters (77,78).…”

Section: Cluster Analysismentioning

confidence: 99%

“…EFA revealed the most important components that depict experts' perceptions toward the pandemic effects on food distribution. Two factors were extracted explaining 71.066% of the total variance, whereas the KMO measure with a value of 0.861 and the Bartlett's test of Sphericity (Chi-square = 306.198, p < 0.01) met the common requirements and justified the implementation of EFA through PCA with varimax rotation (77,81). The Cronbach's α coefficients were satisfactory with values over 0.60 (81).…”

Section: The Impact Of Covid-19 Crisis On Food Distribution Networkmentioning

confidence: 99%

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Assessing the Aftermath of COVID-19 Outbreak in the Agro-Food System: An Exploratory Study of Experts' Perspectives

Raptou¹,

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Tsakiridou³

et al. 2022

Front. Nutr.

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The present study explored COVID-19 outbreak impacts on the food system in terms of agro-food production, distribution networks efficiency, and emerging food consumption patterns according to food experts' perspectives. Individual level data were selected from a sample of 59 executive managers of different domains representing agro-food businesses, agro-food cooperatives, and agro-food consulting firms and public institutions. The empirical analysis addressed the effects of the COVID-19 crisis to all the stages in the food chain and attempted to indicate the factors that could influence the trajectory from “farm to fork” under uncertain circumstances. Factor analysis elicited the underlying dimensions of experts' viewpoints toward the operation of the food system during COVID-19 pandemic. Data were also elaborated through hierarchical and k-means cluster analysis and the cluster structure was further validated by discriminant analysis. A two-cluster solution emerged, revealing differences in experts' perceptions toward the aftermath of the pandemic on agriculture (socioeconomic impacts on rural areas, impacts on agricultural production), food processing businesses (decline in the economic viability of food businesses, sharp economic downturn in the food industry, economic recession, incentives for innovation), food distribution networks (distribution channels fallout, food supply disruption), and consumers' food habits and preferences (increasing interest in health protection, adoption of unhealthy eating habits, demand for innovative and sustainable foods). These segments were identified as “skeptical food experts about COVID-19 impacts” (33.9%) and “alarmed food experts about COVID-19 impacts” (66.1%). Our findings highlighted the main disruptions that the food sector should overcome to meet consumer demand for safe and healthy food products and also ensure food availability and food system resiliency.

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Consumption Patterns and Public Attitudes Toward Organic Foods: The Role of Climate Change Awareness

Raptou

Manolas

2022

Climate Change Management

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The Impact of Sustainability Aspects in the Meat Sector: A Cluster Analysis Based on Consumer Attitudes and Store Format Choice

Cited by 5 publications

References 38 publications

Understanding consumer liking of beef using hierarchical cluster analysis and external preference mapping

Understanding consumer liking of beef using hierarchical cluster analysis and external preference mapping

Assessing the Aftermath of COVID-19 Outbreak in the Agro-Food System: An Exploratory Study of Experts' Perspectives

Consumption Patterns and Public Attitudes Toward Organic Foods: The Role of Climate Change Awareness

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