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Every year 1.3bn tonnes of food are lost or wasted in production, manufacture, distribution and at household level. Consumers are the biggest contributors to the total volume of food waste generated over the world. The purpose of this paper is to analyze the factors affecting consumer’s food waste behavior at household level, providing more insights to existing literature, basing on a hypothesized model.

Data collection was carried from May 2016 to March 2017, by means of a face-to-face structured questionnaire distributed among 580 Italian consumers, with seven constructs. Data analysis included two main steps: exploratory factor analysis and structural equation model (SEM) implemented by means of STATA 14.

Results show that price consciousness, environmental concern and time management influence the attitude that in turn affect the behavior toward food waste minimization. These findings provide basic guidelines for developing policies and campaigns aimed to decrease food waste.

This study point out the importance of the food waste behavioral determinants analysis at household level in Italy. Therefore, the research will include other constructs and further studies can be conducted in European countries to produce spatial SEM.

Waste prevention approaches should concentrate interests on avoiding losses, and releasing of information, best practices and education of consumers as well as strengthening the donation to social services.

The present findings may be used by decision makers, municipality, stakeholders, involved in food waste reduction policies. Moreover, social marketing campaigns can advantage by these results, in order to avoid food-related habits in consumers’ everyday lives not respecting the issues of the food waste. In addition, this study is addressed to academics and scholars that are already working on the role of consumer’s behavior and its implication on food waste reduction.

Food waste in Italy has been analyzed by several authors, yet not involving national samples, using different methodologies and aiming at analyze different aspects. The present study aims at analyzing main determinants affecting food waste behavior at household level: providing more insights to existing literature.

Consumers seem to be increasingly concerned about the environmental and social consequences of their purchases. For this reason, companies are involved in corporate social responsibility (CSR) strategies for their supply chain to responsibly manage the consumption of the environmental resources and to support sustainability. The purpose of this paper is to contribute to a better understanding of the Italian organic apparel consumer by investigating the importance of consumers’ attitudes towards CSR in agricultural products processing industries and their willingness to pay (WTP) for organic cotton clothing.

Questionnaire data were gathered in Italy on a Likert scale. Questions focussed on WTP for organic cotton, with the aim to test consumer responsiveness to a CSR initiative in Italy. A structural equation model is proposed to shed some light into this relatively unexplored area.

One of the direct implications of the authors’ study is that companies in apparel industry should try to improve their social and environmental performance to elicit the desired consumer responses.

This implies important managerial implications for new marketing strategies. If consumers’ perception of CSR practices drives their behavioural intention, firms will be motivated to be involved and to invest in socially responsible practices.

The purpose of this paper is to examine the usefulness of integrating measures of motivations in predicting purchase intentions of fresh cut products. In order to gain this purpose the authors developed a field study that involved about 425 consumers of fresh cut vegetables products.

Questionnaire data were gathered in Italy on a Likert scale. Questions focussed on intentions to purchase fresh cut lamb’s lettuce from environmental sustainable farms, simulating a fresh cut product with an Eco-label. Data were analyzed using structural equation modeling (SEM). The SEM technique is used to develop propositions representing a theoretical approach in the context of the process for purchasing fresh cut products. With regard to distinguishing between the motives, the authors referred to the approach that sets out two different types of motive: health and green.

The resulting managerial implications make it possible to assess how much the different types of motive influence the attitude and affect the choices and the behavior of the consumers.

This implies important managerial implications for new marketing strategies for minimally processed food products, with the opportunity to take advantage of the potential adoption of an Eco-label.