Exploring the potential of business models for sustainability and big data for food waste reduction

Ciccullo, Federica; Fabbri, Margherita; Abdelkafi, Nizar; Pero, Margherita

doi:10.1016/j.jclepro.2022.130673

Cited by 32 publications

(20 citation statements)

References 44 publications

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“…Similarly, this opportunity is suggested by several interviewees, noting that they would be willing to donate or compost food if there were an easy solution. Ciccullo et al (2022) identified numerous entrepreneurial business models aimed at reducing food waste, and this study has placed those business models in the greater context of the food recovery process. Not only do these businesses serve an economic purpose, but they can also help firms to "make the math work" in deciding whether to engage in food recovery.…”

Section: Operational Issuesmentioning

confidence: 99%

“…political and economic factors). These issues may occur upstream, downstream or at the interface between the firms (Ciccullo et al , 2022). These matters are worsened by industrialization and urbanization, which further separate sources of food and consumption, causing supply chains to be longer and more complex (Thyberg and Tonjes, 2016).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Pressure may also come from consumers (Xu et al , 2021), changes in laws (NCSL, 2022) or internal strategies for brand differentiation (Neitzel, 2015; Altintzoglou et al , 2021). New business models have also emerged to reduce FLW through profit-driven motives (Ciccullo et al , 2022). Farooque et al (2019) argued that these pressures alone are insufficient to cause systemic changes to food systems.…”

Section: Introductionmentioning

confidence: 99%

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Overcoming the barriers to food recovery

Atkins,

Deranek,

Sroufe

2024

SCM

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Purpose Research and interest in food loss and waste (FLW) have increased, but barriers stand in the way of firms engaging in food recovery efforts. The purpose of this study is to gain a better understanding of how firms overcome these barriers. Design/methodology/approach This study followed a qualitative, field-study-based research design in which 23 decision-makers at food-based organizations were interviewed. Quotes were extracted and categorized to develop a conceptual model of the food recovery process. Findings The conceptual model that evolved helps to explain decision-making related to FLW across the following dimensions: barriers to food recovery, incentives to overcome the barriers, internal processes for engaging in food recovery and external relationships influencing internal incentives and processes. In addition, the barriers and incentives were divided into operational and managerial issues. Originality/value Building on the barriers to food recovery in prior research, we explored the processes that help firms overcome these barriers. The model developed in this study is an important step toward addressing these processes and relationships. It can serve as a foundation for a variety of future studies of food recovery.

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Section: Operational Issuesmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Overcoming the barriers to food recovery

Atkins,

Deranek,

Sroufe

2024

SCM

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“…Big Data (BD) refers to large, fast and complex data that cannot be processed and managed by classical and traditional techniques. Big Data Analytics (BDA) is the process of using sophisticated analytics on BD ( Ciccullo et al, 2022 ). The most current or potential applications of BD in vegetables, fruits and other plant-based sectors include optimal planting of fruit trees using data extracted from satellite and unmanned aerial vehicle imagery ( Saldana Ochoa and Guo, 2019 ), characterisation of size and shape phenotypes of horticultural crops using high throughput imagery ( Haque et al, 2021 ), improvement of controlled environment agriculture, such as soilless hydroponics and others for vegetable and fruit farming ( Ragaveena et al, 2021 ), and mitigating post-harvest losses and managing fruit and vegetable quality through machine learning ( Singh et al, 2022 ).…”

Section: Interconnection Between Vegetal and Digital Trendsmentioning

confidence: 99%

Emerging trends in the agri-food sector: Digitalisation and shift to plant-based diets

Hassoun

Boukid²,

Pasqualone³

et al. 2022

Current Research in Food Science

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“…The staggering amounts of food waste have led to public outcry and sparked interest in digitally mediated secondary markets for food redistribution and sharing among peers as potential strategies to combat food waste (Ciccullo et al. 2022; Davies & Evans, 2019; Galbraith, 2012; Harvey et al., 2020; Neslen, 2016; Richards & Hamilton, 2018; UNEP DTU Partnership & United Nations Environment Programme, 2021). For example, Richard and Hamilton (2018) demonstrate that digital platforms operating as two‐sided markets can increase uptake of surplus foods (e.g., ugly produce).…”

Section: Introductionmentioning

confidence: 99%

Sharing economy rebound: The case of peer‐to‐peer sharing of food waste

Meshulam

Vivanco

Blass

et al. 2022

J of Industrial Ecology

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The Sharing Economy is commonly assumed to promote sustainable consumption and improve material efficiency through better utilization of existing product stocks. Yet the cost-savings and convenience of using sharing economy platforms can ultimately stimulate additional demand for products and services. As a result, some or even all of the expected environmental benefits attributed to sharing could be negated, a phenomenon known as Rebound Effect. Relying on a unique dataset covering close to 1.1 million exchanges on a Peer-to-Peer (P2P), food sharing platform, we use a combination of Environmentally Extended Input Output analysis (EEIO), geo-spatial network analysis, and econometric modeling to quantify how much of the expected environmental benefits attributed to sharing are negated via rebound effects. We find that over the 3 years examined, sharing edible yet unwanted food with other peers was associated with nearly 1,800 tons of avoided CO2-eq. However, our results suggest that over 80% of these avoided emissions were negated as platform users re-spent the money saved by sharing on other goods and services. Our results demonstrate the importance of considering the potential implications rebound effects might have on the efficacy of leveraging the sharing economy to elevate environmental burdens.

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Exploring the potential of business models for sustainability and big data for food waste reduction

Cited by 32 publications

References 44 publications

Overcoming the barriers to food recovery

Overcoming the barriers to food recovery

Emerging trends in the agri-food sector: Digitalisation and shift to plant-based diets

Sharing economy rebound: The case of peer‐to‐peer sharing of food waste

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