Coming out the egg: Assessing the benefits of circular economy strategies in agri-food industry

Abbate, Stefano; Centobelli, Piera; Cerchione, Roberto; Giardino, Giada; Passaro, Renato

doi:10.1016/j.jclepro.2022.135665

Cited by 42 publications

(19 citation statements)

References 111 publications

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“…According to Gupta et al ( 2019 ), linear economic models treat businesses as open-loop systems in which natural resources are continuously obtained and consumed, without concern for their final disposal, which generates large amounts of waste and contamination (Gupta et al, 2019 ). In contrast, CE operates on the fundamental principle that any business cycle should synergistically integrate production activities, so that waste or by-products from one level can be used as raw material for the next, giving its restorative and restorative connotation (Gupta et al, 2019 ; Abbate et al, 2023b ).…”

Section: Literature Reviewmentioning

confidence: 99%

Factors for the implementation of the circular economy in Big Data environments in service companies in post pandemic times of COVID-19: The case of Colombia

et al. 2023

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In emerging economies, Big Data (BD) analytics has become increasingly popular, particularly regarding the opportunities and expected benefits. Such analyzes have identified that the production and consumption of goods and services, while unavoidable, have proven to be unsustainable and inefficient. For this reason, the concept of the circular economy (CE) has emerged strongly as a sustainable approach that contributes to the eco-efficient use of resources. However, to develop a circular economy in DB environments, it is necessary to understand what factors influence the intention to accept its implementation. The main objective of this research was to assess the influence of attitudes, subjective norms, and perceived behavioral norms on the intention to adopt CE in BD-mediated environments. The methodology is quantitative, cross-sectional with a descriptive correlational approach, based on the theory of planned behavior and a Partial Least Squares Structural Equation Model (PLS-SEM). A total of 413 Colombian service SMEs participated in the study. The results show that managers' attitudes, subjective norms, and perceived norms of behavior positively influence the intentions of organizations to implement CB best practices. Furthermore, most organizations have positive intentions toward CE and that these intentions positively influence the adoption of DB; however, the lack of government support and cultural barriers are perceived as the main limitation for its adoption. The research leads to the conclusion that BD helps business and government develop strategies to move toward CE, and that there is a clear positive will and intent toward a more restorative and sustainable corporate strategy.

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Section: Literature Reviewmentioning

confidence: 99%

Factors for the implementation of the circular economy in Big Data environments in service companies in post pandemic times of COVID-19: The case of Colombia

et al. 2023

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“…(1) ANP allows to show the interaction between the selection criteria at a good level and with a high accuracy compared to the direct method (Abbate et al, 2023;Farughi and Mostafayi, 2017), in our case the most relevant barriers and pathways. While ELECTRE permits to obtain the superiority of the alternatives, to rank the barriers and the corresponding pathways, in order to select the best barriers/pathways.…”

Section: A Hybrid Framework Combining Anp and Electre Imentioning

confidence: 99%

“…While ELECTRE permits to obtain the superiority of the alternatives, to rank the barriers and the corresponding pathways, in order to select the best barriers/pathways. (2) Since the number of criteria studied is important, the utilization of ANP method will lead to an increase in pairwise comparisons, which may decrease the accuracy of calculations, whereas the ELECTRE method is used for the elimination of the least interesting alternatives (barriers), and the selection of the most efficient pathways, thanks to an evaluation based on unranked calculations, and as a result inefficient alternatives (barriers) will be eliminated (Abbate et al, 2023).…”

Section: A Hybrid Framework Combining Anp and Electre Imentioning

confidence: 99%

Towards a green Agri-food supply chain through ANP and ELECTRE I

Elhidaoui

Kota

2023

MEQ

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PurposeThis research aims to comprehensively analyse the Agri-food supply chain, by identifying the barriers, and considering effective pathways towards a green supply chain. To the best of our knowledge, in the research area of supply chain, the majority of the research is oriented towards the evaluation of barriers and pathways or drivers to the implementation of green supply chain management in the manufacturing industry. The field of Agri-food is among the sectors of concern due to the quantum and basic necessity of the industry.Design/methodology/approachThe contribution of this paper is to develop and evaluate a general framework of the most relevant barriers and possible pathways towards the green Agri-food supply chain, with the help of a hybrid approach combining both the ANP and ELECTRE I methods, via a case study of the fish canning industry.FindingsFurthermore, the study findings will help both academicians and practitioners in developing and evaluating green supply chain frameworks in this area of study.Originality/valueThe results of this study show that the cost of greening the supply in terms of implementing sustainability standard, or advanced technology are the most relevant barriers, and that the social and operational pathways family is among the best effectives pathways.

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“…In this sense, the circular economy (CE) aims to contribute to the current ecological transition, providing economic advantages and preserving the global society for future generations; among these initiatives is socially responsible food consumption. The agri-food industry generates significant carbon emissions that cause environmental damage and depletion of natural resources ( Abbate et al, 2023 ). Therefore, many experts believe that the existing food and agricultural system is unsustainable ( Campbell et al, 2017 ; Abbate et al, 2023 ), for which the redesign of value creation in businesses is necessary firms to reduce the use of resources and generation of pollutants ( Abbate et al, 2023 ).…”

Section: Introductionmentioning

confidence: 99%

“…The agri-food industry generates significant carbon emissions that cause environmental damage and depletion of natural resources ( Abbate et al, 2023 ). Therefore, many experts believe that the existing food and agricultural system is unsustainable ( Campbell et al, 2017 ; Abbate et al, 2023 ), for which the redesign of value creation in businesses is necessary firms to reduce the use of resources and generation of pollutants ( Abbate et al, 2023 ). Added to the above is food waste, derived its consumption or non-consumption ( Rasool et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

COVID-19, social identity, and socially responsible food consumption between generations

2023

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IntroductionThe objective of the research was to analyze the effect of COVID-19 with the predictors of the health belief model (perceived severity, perceived benefits, and cue to action) on the social identity of the consumer and the social identity of the socially responsible food consumption among four generation groups of adults based on the stimulus-organism-response model.MethodsThe study had a quantitative approach explanatory design and a cross-sectional temporal dimension. A total of 834 questionnaires were collected from adults in the metropolitan area of Mexico City, and the data were analyzed through partial least squares structural equation modeling.ResultsThe results indicated that perceived severity, perceived benefits, and cue to action positively and significantly influenced social identity, and this positively and significantly influenced socially responsible consumption. In addition, identity was found to be a variable that had a total mediation effect between perceived severity and socially responsible consumption, perceived benefits and socially responsible consumption, and cue to action and socially responsible consumption. While the perceived barriers only had a direct effect on socially responsible consumption. Likewise, a difference was found between generation X and Y, generation Z and X, and generation Y and X in the relationship between cue to action, belonging to a social network group, and social identity.DiscussionIn this sense, these results allow us to consider that when environmental stimuli (predictors of the health belief model) affect the organism (social identity), it will respond with socially responsible food consumption. This type of consumption is explained through social identity and is modified according to the age of the consumers due to the effects of social networks.

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Coming out the egg: Assessing the benefits of circular economy strategies in agri-food industry

Cited by 42 publications

References 111 publications

Factors for the implementation of the circular economy in Big Data environments in service companies in post pandemic times of COVID-19: The case of Colombia

Factors for the implementation of the circular economy in Big Data environments in service companies in post pandemic times of COVID-19: The case of Colombia

Towards a green Agri-food supply chain through ANP and ELECTRE I

COVID-19, social identity, and socially responsible food consumption between generations

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