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This paper aims to understand the implementation of a circular economic business where animal manure is used to produce biogas and alternative fertilizer in a regional network of manure suppliers and biogas producers and to reveal the impacts of five variables (manure quantity, transportation distance, manure dry content, manure price and manure discharge price) on the economic sustainability of manure-based biogas supply chains.

An enterprise input-output approach is used to model physical and monetary flows of the manure-based biogas supply chain. Computational experiments are performed on all variables to identify under which conditions the cooperation is beneficial for all actors.

The cooperation is profitable for a large-scale farm (>20,000 t/year) if biogas producer (b) pays farmer (f) to receive its manure (5 €/t) or if f sells manure for free and manure disposal costs are >10 €/t. Cooperation is always profitable for b if f pays b to supply its manure (5€/t). If b receives manure for free, benefits are always positive if b is a medium-large-scale plant (>20,000 t/year). For a small-scale plant, benefits are positive if manure dry content (MDC) is ≥12 per cent and transportation distance is ≤10 km.

The paper adds value to the biogas production research, as it makes holistic analysis of five variables which might change under different policy and geographical conditions. The investors in biogas production, suppliers and transportation companies can find correspondence to empirical findings for their own site-specific cases.

The purpose of this paper is to measure food loss and waste by material flow analysis (MFA) tool. Applying this methodology, the authors estimate wastage-related losses and discuss opportunities for more circular and sustainable practices in the Italian potato industry.

MFA is applied to two specific typologies as follows: ready-to-eat (chips) and dried potato products produced in Italy. The analysis refers to the year 2017 as the complete dataset useful for this study includes measurements until this year. A bottom-up and top-down mixed approach is applied, and functional unit refers to 1 t of potatoes consumed as final product.

MFA is applied to quantify and qualify material balance associated with 1 t of potatoes consumed as final product. In Italy, in 2017, more than 22,000 t of fresh tubers were lost, including 3,500–4,800 t of starch, equivalent to 52,800–72,600 GJs. Moreover, fewer than 23,000 t of skins and scraps were produced within industrial plants, not available for food but suitable for animal feed (dry skins are an excellent carbohydrates source in cattle and poultry feed), starch industry and bioenergy production (biogas and/or bioethanol).

This research is one of the few studies proposing MFA methodology as a tool to measure food waste. This analysis shows its utility in terms of food waste quality/quantity evaluation, supporting both company management and policymakers.

The study proposes Material Flow Analysis (MFA) methodology as a tool to measure and qualify food waste in the Italian beef supply chain in each stage of the food supply chain, from farm to fork. In particular, the authors attempt to: (1) measure resources consumption and waste generation toward companies' and policymakers' sustainable evaluations; (2) enhance consumers' education in the field of agri-food resilience and sustainability.

MFA is applied to the entire Italian sector of beef consumed as packaged fresh product in 2020, during the Covid-19 pandemic. The analysis regards bovine, which represent roughly one-third of the national meat flow. To collect data, bottom-up and top-down mixed approach is applied. Subsequently, MFA results are used to calculate the wastage-related losses in terms of embedded natural resources (e.g. water, energy).

In 2020, it results that the Italian meat industry slaughtered more than 1.15 Mt of bovine to produce approximately 0.29 Mt of fresh meat, 0.69 Mt of by-products and over 0.015 Mt of food waste at households, while 0.15 Mt of beef meat is destined to catering services and food industry (out-of-boundaries). In terms of hidden natural resources, it emerged that, on average, more than 94bn m3 of water, approximately 101,000 TJ of energy and over 11,500 t of PET and PE trays are required to sustain the entire beef system.

This research is one of the few studies proposing MFA methodology as a tool to measure food waste and hidden associated flows in the agri-food sector. This analysis shows its utility in terms of natural resources (water, energy, materials) and waste quality/quantity evaluation, hidden flows accounting and development of new educational strategies toward food waste minimization and sustainability at household consumption.

The research is based on a critically analyzed literature review focused on the unanticipated outcomes, trade-offs and tensions of sustainable operations and supply chain management (OSCM), including the articles selected for this special issue.

The authors introduce the key concepts, issues and theoretical foundations of this special issue on “The hidden side of sustainable operations and supply chain management (OSCM): Unanticipated outcomes, trade-offs and tensions”. The authors explore these issues within this context, and how they may hinder the authors' transition to more sustainable practices.

The authors present an overview of unanticipated outcomes, trade-offs, tensions and influencing factors from the literature, and identify how such problems may emerge. The model addresses these problems by highlighting the crucial effect of the underlying state of knowledge on sustainable OSCM decision-making.

The authors limited the literature review to journals that ranked 2 and above as defined by the Chartered Association of Business Schools Academic Journal Guide. The main implication for research is a call to focus attention on unanticipated outcomes as a starting point rather than only an afterthought. For practitioners, good intentions such as sustainability initiatives need careful consideration for potential unanticipated outcomes.

The study provides the first critical review of unanticipated outcomes, trade-offs and tensions in the sustainable OSCM discourse. While the literature review (including papers in this special issue) significantly contributes toward describing these issues, it is still unclear how such problems emerge. The model developed in this paper addresses this gap by highlighting the crucial effect of the underlying state of knowledge concerned with sustainable OSCM decision-making.