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

Raptou, Elena; Manolas, Evangelos

doi:10.1007/978-3-030-78566-6_18

Cited by 4 publications

(5 citation statements)

References 58 publications

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“…In Tab. 2 the QDF refers to Quadratic Discriminant Analysis Function with Kmeans clusters [28] and GBT is Gradient Boosting Tree with K-means clusters [29].…”

Section: Resultsmentioning

confidence: 99%

“…The regions have based on arithmetical mean m i (x, y)and standard deviation σ i (x, y) and the output of the KF filter P(x, y) for any point (x,y) as shown in Eq. ( 6) [28][29].…”

Section: Building Optimization and Prediction Modelmentioning

confidence: 99%

“…The social relation of direction of swarm is s [26][27][28]. The equation of s can be described as follows:…”

Section: Building Optimization and Prediction Modelmentioning

confidence: 99%

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Grasshopper KUWAHARA and Gradient Boosting Tree for Optimal Features Classifications

Aly¹,

Hussein²,

Rahouma³

2022

Computers, Materials &Amp; Continua

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This paper aims to design an optimizer followed by a Kawahara filter for optimal classification and prediction of employees' performance. The algorithm starts by processing data by a modified K-means technique as a hierarchical clustering method to quickly obtain the best features of employees to reach their best performance. The work of this paper consists of two parts. The first part is based on collecting data of employees to calculate and illustrate the performance of each employee. The second part is based on the classification and prediction techniques of the employee performance. This model is designed to help companies in their decisions about the employees' performance. The classification and prediction algorithms use the Gradient Boosting Tree classifier to classify and predict the features. Results of the paper give the percentage of employees which are expected to leave the company after predicting their performance for the coming years. Results also show that the Grasshopper Optimization, followed by "KF" with the Gradient Boosting Tree as classifier and predictor, is characterized by a high accuracy. The proposed algorithm is compared with other known techniques where our results are fund to be superior.

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“…In Tab. 2 the QDF refers to Quadratic Discriminant Analysis Function with Kmeans clusters [28] and GBT is Gradient Boosting Tree with K-means clusters [29].…”

Section: Resultsmentioning

confidence: 99%

“…The regions have based on arithmetical mean m i (x, y)and standard deviation σ i (x, y) and the output of the KF filter P(x, y) for any point (x,y) as shown in Eq. ( 6) [28][29].…”

Section: Building Optimization and Prediction Modelmentioning

confidence: 99%

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Grasshopper KUWAHARA and Gradient Boosting Tree for Optimal Features Classifications

Aly¹,

Hussein²,

Rahouma³

2022

Computers, Materials &Amp; Continua

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“…Education on the importance of achieving sustainable food is key to choosing the products we buy. In their studies, Magnuson et al [41] or Raptou and Manolas [42] also found that purchasing organic products is strongly related to awareness of both their benefits for human health and climate change. The increase in awareness of the need to change our attitudes to more sustainable ones after the intervention in our research does not correlate with any of the contrast variables.…”

Section: Discussionmentioning

confidence: 98%

Sustainable Food in Teacher Training: Evaluation of a Proposal for Educational Intervention

2023

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The sustainability of the food system is a particularly relevant issue today as it is a challenge to ensure environmental sustainability and the need to guarantee access to food in all parts of the world to promote social equity. Given this, the need to promote a sustainable food transition in consumption habits becomes imperative. It is crucial that teachers be sensitised to this issue so that they can try to develop a critical and globally aware student body that is committed to a social transformation towards sustainability. The main objective of this study is discovering the opinions of preservice teachers (PSTs) on sustainable food. It also has two specific objectives: (1) analyze the initial opinions of prospective teachers on sustainable food before and after carrying out an educational intervention on this topic, and (2) study the relationship between the opinions of PSTs and variables related to their personality or their relationship with nature, among others. A longitudinal pre-test-intervention-post-test design using quantitative methods was carried out to explore the opinions of 49 pre-service teachers studying for a degree in Primary Education before and after the educational intervention. The results show changes in the opinions of future teachers after the application of the educational intervention and differences towards food sustainability according to some socio-demographic variables such as gender.

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“…In order to reveal the underlying components depicting students' attitudes toward plant-based diets and foods, an exploratory factor analysis (EFA) was applied, which comprises a widely used multivariate technique for investigation of scale validity and reduction of the dimensionality in a set of variables. The output of the EFA can be also adopted to facilitate further statistical analysis [Raptou et al [31]; Raptou & Manolas, [32,33,34]. In the present study, EFA was employed to test the potential interdependencies among the observed variables of the 18-item scale describing individuals' attitudes toward plant-based diets and food products, and uncover the underlying theoretical constructs referred as latent variables [35].…”

Section: Methods Of Analysismentioning

confidence: 99%

Gen Zs’ Willingness to Adopt Plant-Based Diets: Empirical Evidence from Greece, India and UK

Raptou,

Tsiami,

Negro

et al. 2024

Preprint

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Comprising the largest population cohort on this planet, Gen Z presents a future-oriented consumer segment driven by climate change and food. This study sought to investigate Gen Zs’ perceptions to-ward plant-based foods and diets, and explore the relationship between attitude components, meal preparation involvement, personal and lifestyle factors, and perceived barriers in adopting a plant-based diet with willingness to adopt green-eating practices. Using cross-sectional data from uni-versity students in Greece, India and UK, various tools were employed to determine the factors influ-encing youths’ consumer behavior toward animal-protein substitutes. PCA indicated the underlying dimensions of students’ viewpoints on plant-based foods, whereas hierarchical and k-means clustering provided the cluster structure. An ordered probit model was estimated to delineate Gen Zs’ willingness to adopt plant-based diets and distinguish among mostly unwilling, somewhat willing and mostly willing youths. Our findings identified two consumer segments, namely proponents and opponents toward plant-based foods and diets, with statistically significant differences in the perceived health benefits of plant-based diets, attachment to animal-based proteins, perceived exclusion of ani-mal-based foods, dissatisfaction with plant-based foods attributes and demand for ensuring adequate protein intake. The ordered probit model estimates showed that there is a rather «homogeneity» in the factors influencing youths’ intention to adopt plant-based diets, with attitude components, meal prep-aration indicators, perceived barriers to eating “green” and personal factors, viz. self-assessed knowledge on healthy eating and physical activity, being strongly associated with students’ willingness to switch to plant-based diets in all three countries. Mapping potential obstacles and enablers in terms of shifting to more green-eating behaviors, our findings could add information to better understand the factors affecting food choice and youths’ transition to a more sustainable lifestyle.

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

Cited by 4 publications

References 58 publications

Grasshopper KUWAHARA and Gradient Boosting Tree for Optimal Features Classifications

Grasshopper KUWAHARA and Gradient Boosting Tree for Optimal Features Classifications

Sustainable Food in Teacher Training: Evaluation of a Proposal for Educational Intervention

Gen Zs’ Willingness to Adopt Plant-Based Diets: Empirical Evidence from Greece, India and UK

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