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Despite much research on supply chain (SC) integration and the growing emphasis on recent information technology advancements as an enabler of improved performance, there has been limited research focussed specifically on information integration in supply chains (SCs). The purpose of this paper is to systematically review the literature on information integration in the fresh food supply chain (FFSC) from a holistic perspective.

Literature review is done by systematically collecting and analysing the recent literature to identify various participant entities of the FFSC information network and their specific information needs.

The information needs of FFSC entities are diverse but the needs are common across multiple entities.

This study only reviewed the FFSC-related literature; an extended study of the food industry may reveal a more comprehensive view.

These findings are useful for practitioners in understanding the participant entities in the information network and their information needs and for policymakers in formulating FFSC development initiatives.

The authors are not aware of another study that investigates the FFSC in a holistic approach, one that identifies the actors, their interactions and information needs.

This paper identifies, evaluates and structures research that focuses on “collaboration” (C), “trust” (T) and “performance” (P) in the agri-food supply chain (AFSC) and reveals its intellectual foundation. It aims to synthesize research published over a period of 18 years (from 2003 to the beginning of 2020) and provide a platform for practitioners and researchers in their efforts to identify the existing state of work, gaps in current research and future directions in the area of collaboration–trust–performance (CTP) in the AFSC.

Prior to carrying out a bibliometric analysis (BA), literature search was performed, identifying 69 related papers focused on CTP in the AFSC. The content of the papers was further analysed in a systematic literature review (SLR) with regard to the subject area, theoretical lenses, research methodology, supply chain (SC) category and other relevant categories.

CTP in the AFSC are based on a relationship marketing and operations management fundament but show specific particularities. AFSCM is a multi-dimensional design task, and collaboration is considered a necessity, whereas trust significantly affects the AFSC effectiveness. The paper also develops a conceptual CTP model, which shows the interrelations between all identified construct variables, where the authors were able to see also bi-directional relations. Furthermore, the paper presents viable future research opportunities, e.g. focus on organic food chains or multi-actor analysis.

Results of the conducted BA refer to the CTP discussion within a preselected number of peer-reviewed academic articles, which are provided by the WoS CC (Web of Science Core Collection) database.

CTP measurements within the AFSC context are a relevant subject with increasing academic interest in the area of agricultural economics as well as operations and supply chain management (SCM). Therefore, further studies are necessary to develop the related theory and ascertain the practical implications of collaboration, trust and performance among members in the consistently complex AFSC.

CTP have been recognized as important factors for designing a sustainable SCM strategy, particularly in the case of the AFSC. However, although previous studies have addressed the AFSC, there is insufficient knowledge regarding all three pillars (CTP) and how they enable successful AFSCM. The originality of this paper lies in systematically mapping the intellectual base of CTP research and providing path forward for research in AFSCM.

This paper aims to present a closed-loop supply chain (CLSC) optimization problem for a perishable agricultural product to achieve three pillars of sustainability, including minimizing total network costs and carbon dioxide emissions from different network activities and maximizing responsiveness to demands simultaneously.

The research problem is formulated as a multi-objective mixed-integer linear programming model, and classical approaches, including the LP-Metric and weighted Tchebycheff method, have been applied to solve the optimization model. A set of test problems has been proposed to validate the model, and the results are presented.

Computational time to find Pareto optimal solutions by using the weighted Tchebycheff method was twice as much as that of the LP-Metric method. Also, the result of the study is a mathematical model that can be applied to other products that are close to the fruit, such as vegetables.

The present study is limited to fruits supply chains and the inventory is considered at the distribution centers only. The study also considers only one type of transport.

The paper can assist supply chain managers to define strategies to achieve a sustainable CLSC network configuration for the fruits.

This study is one of the early studies to consider environmental indicators in fruits supply chain design along with two other indicators of sustainability, namely, economic and social indicators. Therefore, this can help supply chain managers to achieve sustainability by optimizing location decisions, inventory quantities and flow between facilities.

Quality deterioration in bananas along the supply chain (SC) due to cosmetic damage has been a persistent challenge in Australia. The purpose of this paper is to investigate the incidence of cosmetic defects in bananas across the post-harvest SC and determining the causes of the diminished fruit quality at the retail stores.

The study quantified the level of cosmetic damage in 243 cartons of Cavendish bananas across three post-harvest SCs in Australia from pack houses to retail stores and identified the risk factors for cosmetic defects.

The level of cosmetic damage progressively increased from pack house (1.3 per cent) to distribution centre (DC) (9.0 per cent) and retail (13.3 per cent) and was significantly influenced by package height and pallet positioning during transit. Abrasion damage in ripened bananas was influenced by the travel distance between DC and retail store. The study also revealed a range of risk factors contributing to the observed damage including weakened paperboard cartons due to high moisture absorption during the ripening process.

This study only investigated damage incidence in three post-harvest banana SCs in Australia and the damage assessments were confined to packaged bananas.

This study assessed the quality of bananas along the entire post-harvest SC from farm gate to retail store. The study provided knowledge of the extent of the quality defects, when and where the damage occurred and demonstrated the underlying factors for damage along the SC. This will enable the development of practical interventions to improve the quality and minimize wastage of bananas in the retail markets.

The emergence of risk in today's business environment is affecting every managerial decision, majorly due to globalization, disruptions, poor infrastructure, forecasting errors and different uncertainties. The impact of such disruptive events is significantly high for perishable items due to their susceptibility toward economic loss. This paper aims to design and address an operational planning problem of a perishable food supply chain (SC).

The proposed model considers the simultaneous effect of disruption, random demand and deterioration of food items on business objectives under constrained conditions. The study describes this situation using a mixed-integer nonlinear program with a piecewise approximation algorithm. The proposed algorithm is easy to implement and competitive to handle stationary as well as nonstationary random variables in place of scenario techniques. The mathematical model includes a real-life case study from a kiwi fruit distribution industry.

The study quantifies the performance of SC in terms of SC cost and fill rate. Additionally, it investigates the effects of disruption due to suppliers, transport losses, product perishability and demand stochasticity. The model incorporates an incentive-based strategy to provide cost-cutting in the existing business plan considering the effect of deterioration. The study performs sensitivity analysis to show various “what-if” situations and derives implications for managerial insights.

The study contributes to the scant literature of quantitative modeling of food SC. The research work is original as it integrates a stochastic (uncertain) nature of SC simultaneously coupled with the effect of disruption, transport losses and product perishability. It incorporates proactive planning strategies to minimize the disruption impact and the concept of incremental quantity discounts on lot sizes at a destination node.

The livestock sector contributes significantly to the Brazilian economy, but also creates many environmental and social issues. To mitigate these problems and help counteract the effects of the growing production demand, it is essential to address the prevention of food loss and waste (FLW). Therefore, the aim of the present study is to identify the causes of FLW, model their interrelationships and determine their root causes for the Brazilian beef supply chain (SC).

16 causes are analysed using an integrated interpretive structural modelling (ISM) and matrix impact of cross-multiplication applied to classification (MICMAC) methodology. ISM identified interrelationships among the causes and MICMAC determined the root causes of FLW.

The ISM highlights the “Lack of transportation infrastructures”, “Inadequate handling”, “Poor operational performance”, “Variety of products available in supermarkets” and “Unhealthy animals and outbreaks of disease” as the most influential causes and the MICMAC classifies them as the root causes of FLW in the Brazilian beef SC.

The results provide fundamental insights for researchers, practitioners and policymakers, by exploring which causes are more influential and which are the root causes, thereby assisting the SC members in the definition of suitable strategies to mitigate FLW.

This is the first empirical analysis of the interdependencies between the causes of FLW in the beef SC.

This paper addresses a gap in research literature in the fields of blockchain technology (BC), supply chain network dynamics (SC) and network effect phenomena (NE). Extant BC and SC literature describes the potential benefits to be reaped through the adoption of BC technology. While BC technology does not yet meet the researched expectations of adoption, performance and efficacy, the authors analyze the three inter-related fields (BC, SC and NE) to bridge this gap in theory.

This paper begins with a research review correlating the technological fundamentals of BC technology into fundamental value propositions for SC logistics contexts. The authors review the gap between these theoretical technological functions and the current ecosystem of BC applications. With an overarching understanding of BC in SC contexts, this paper then explores the phenomena of NE and attempts to synthesize various interrelated aspects of the three fields (BC, SC and NE). Research frameworks from extant literature are used for cross-comparing legacy software/information system solutions with potential and existing BC-based solutions. Case studies are utilized to support this analysis.

Several key considerations and themes are identified to better inform practitioner and researcher decision-making. Novel insights pertain to BC platform architecture and application modularity, integrated governance and decision-making capabilities, and the automation capabilities that arise from a healthy application and smart contract ecosystem.

The core contribution is the synthesis of network effect theory with SC phenomena and BC theory and the exploration of how these three fields are inter-related in the maturation of BC technology. Specifically, the authors deepen insights from extant literature by contextualizing findings with relevant interdisciplinary theoretical frameworks.

At the passing of the Fair Trading Act, 1973, and the setting up of a Consumer Protection Service with an Office of Fair Trading under a Director‐General, few could have visualized this comprehensive machinery devised to protect the mainly economic interests of consumers could be used to further the efforts of local enforcement officers and authorities in the field of purity and quality control of food and of food hygiene in particular. This, however, is precisely the effect of a recent initiative under Sect. 34 of the Act, reported elsewhere in the BFJ, taken by the Director‐General in securing from a company operating a large group of restaurants a written undertaking, as prescribed by the Section, that it would improve its standards of hygiene; the company had ten convictions for hygiene contraventions over a period of six years.

This paper seeks to investigate Cordia myxa L. (CM) extracts as hepatoprotective agents, through their antioxidant activities.

Oxydative liver damage in rats was induced in Wister rats by two agents: carbon Tetrachloride (CCl₄) and thioacetamide (TA). Oxydative damage was evaluated by a measurement of aspartate transaminase (AST), glutamate transaminase (ALT) and Alkaline phosphatase (ALP), in sera of the rats. Several extracts of Cordia myxa were prepared and were fed to experimental animals over a period of two weeks. Liver recovery was assessed by measuring the above hepatic enzymes and their comparison with the control group of animals. Phenolic content of the extracts was measured by Folin‐Ciocalteu reagent and was calculated as gallic acid equivalents. α,α‐diphenyl‐β‐picrylhydrazyl (DPPH) assay was used to measure antiradical activity of the extracts and it was compared with ascorbic acid.

Maximum fruit extract can be obtained by hand‐macerating the peeled fruit rich in phenolic content 11.1±1.47 mg/g gallic acid equivalent. Its antiradical activity was measured as 16.34±0.81 that was calculated as 10.0±1.24 ascorbic acid equivalent. CCl4 and TA induced comparable oxidative liver damage as measured through hepatic enzymes. A significant (p=0.05) liver recovery was noticed when animals treated with CCl4/TA were fed with CM extracts.

The study reports the protective role of C. myxa in chemically induced fibrosis by carbon tetrachloride (CCl₄) and thioacetamide (TA).

This study aimed to develop the integration of the multiperiod production-distribution model in a closed-loop supply chain involving carbon emission and traceability. The developed model was for agricultural food (agri-food) products, considering the reverse flow of food waste from the disposal center (composting center) to producers.

The results indicate that integrating the production and distribution model considering food waste recycling provides low carbon emissions in lower total costs. The sensitivity analysis also found that there are trade-offs between production and distribution rate and food waste levels on carbon emission and traceability.

This study focuses on the mathematical modeling of a multiperiod production-distribution formulation for a closed-loop supply chain.

The model of the agri-food closed-loop supply chain in this study that considers food recycling and carbon emissions would help stakeholders involved in the agri-food supply chain to reduce food waste and carbon emissions.