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The purpose of this paper is to carry out structural analysis of potential supply chain risks and performance measures in fresh food retail by applying interpretive structural modeling (ISM).

Inputs were taken from industry experts in identifying and understanding interdependencies among food retail supply chain risks on different levels (sourcing and logistics outside the retail stores; storage and customer interface at the stores). Interdependencies among risks and their impact on performance measures are structured into a hierarchy in order to derive subsystems of interdependent elements to derive useful insights for theory and practice.

Using the ISM approach the risks and performance measures were clustered according to their driving power and dependence power. Change in/inadequate government regulations’ are at the bottom level of the hierarchy implying highest driving power and require higher attention and focussed mitigation strategies. Risks like lack of traceability, transport delays/breakdowns and temperature abuse, cross-contamination in transport and storage have medium driver and dependence powers.

The approach is focussed on food retail supply chains in the Indian context and thereby limits the ability to generalize the findings. The academics and experts were selected on convenience and availability.

It gives managers a better understanding of the risks and performance measures that have most influence on others (driving performance measures) and those measures which are most influenced by others (dependent performance measures) in fresh food retail and also a tool to prioritize them. This kind of information is strategic for managers who can use it to identify which performance measures they should concentrate on managing the trade-offs between measures. The findings and the applicability for practical use have been validated by both experts and practicing managers in food retail supply chains.

The work is perhaps the first to link supply chain risks with performance and explains the propagation of risks in food retail supply chains. It contributes to theory by addressing a few research gaps and provides relevant managerial insights for practitioners.

The Australian retail food sector, comprising mostly small enterprises, is undergoing change as a result of the innovative supply chain approach adopted. This change has implications across the entire food value chain in Australia. The purpose of this paper is to empirically investigate the adoption of supply chain management practices on small and medium enterprises (SMEs) in the Australian food retail industry.

The study surveys 120 SME retailers in the food sector. A stepwise multiple regression using SPSS version 14.0 was performed on the data.

Statistical results suggest that lean thinking and the quality of information shared can lead to greater efficient supply chain performance.

The small sample is the main limitation. The findings bear important implications for further research as understanding these dimensions can help to position key changes and industry improvement that will increase revenue and reduce cost to the SMEs in the food retail supply chain.

Adopting lean thinking and improving information sharing in the supply chain can reduce the cost for SMEs.

This study has unique implications for social sustainability, especially the smaller food enterprises, which are hard pressed to combat the challenges within the food sector.

Innovative supply chain management helps SMEs to see beyond the silo mentality and helps them to focus on greater value addition in the supply chain.

Green supply chain management (GSCM) research is so far dominated by studies focusing on manufacturing companies, while research on retailers is missing. The purpose of this study is to assess the interaction between green in-store activities (environment-related infrastructure and retail in-store processes), GSCM and environmental and economic performance outcomes.

The paper builds on empirical evidence gathered from 190 responses by Croatian food retailers to a self-administered survey. The identified relationships in the conceptual model are tested using partial least squares structural equation modeling.

The results reveal a positive relation between green in-store activities and GSCM in food retailing regarding environmental and economic performance. The relevance of these relationships accrues from the positive association between GSCM and food retailers’ environmental performance, which in turn drives economic performance. It is noteworthy that green supply chain practices drive environmental and then also economic performance.

The study extends the application of GSCM to retailing and, therefore, broadens its scope. However, the data collected are based on one country and, thus, should be extended to assess the impact of green retailing practices in the supply chain on environmental and economic performance in other countries.

This study, to the best of the authors’ knowledge, is the first empirical analysis on the relationship between green in-store activities and GSCM in the context of food retail. This important link to customers has rarely been explored. Further, the representative sample of food retailers in Croatia is unique as generally data from Central and Eastern European countries are still rare. Finally, the operationalization of GSCM practices into three constructs as green logistics, green purchasing and cooperation with suppliers’ offers conceptual contributions to the GSCM field.

To highlight the problems with and propose a framework for improving demand management in retail food supply chains.

The paper draws on empirical evidence from multiple case studies and develops a framework for improvement in demand management for retail food supply chains.

Analysis of the characteristics of demand within a number of retail food supply chains demonstrates a propensity for misalignment of demand and supply due to issues such as demand amplification, inappropriate production policies and inconsistencies with information systems and data handling procedures.

The case study evidence on which the conceptual framework is based is drawn exclusively from the UK, where retail food supply chains are generally more mature than in other parts of the world. The proposed framework is based on empirical evidence but has not been formally tested.

More collaboration, information sharing and joint planning beyond the manufacturer‐retailer interface is critical if retail food supply chains are to function efficiently and effectively in retail environments where promotional activity creates significant uncertainty.

Demand management in retail food supply chains has received little attention from supply chain researchers to date. This paper proposes a framework for improvement based on greater collaboration and joint planning from farm to fork.

Access to food through retail supply chain distribution can vary significantly among the urban poor and leads to household food insecurity. The paper explores this sustainable supply chain phenomenon through a field study among South Africa's urban poor.

Urban metabolic flows is the theoretical basis in the context of supply chain management (SCM). The field study comprised 59 semi-structured interviews in one South African township. Data were recorded, transcribed and translated, and coded using NVivo 12 to provide an inventory of eight themes categorized and patterned from the analysis.

Findings indicate societal factors play a significant role affecting food distribution, access and security from a spatial perspective of retail outlet locations and a nutritional standpoint regarding quality and quantity of food.

The study is exploratory in one township, and while rigorously conducted, the generalizability of findings is limited to this context.

The study practically contributes by providing guidance for food retailers and policymakers to include nutritional guidelines in their distribution planning, as well as the dynamics of diverse neighbourhoods that exist in modern urban contexts.

New forms of retail food distribution can provide better security and access to food for the urban poor, contributing to Sustainable Development Goals (SDGs) 2 Zero Hunger and 11 Liveable Cities.

The study is interdisciplinary and contributes by linking UN SDGs and SCM through urban metabolic flows from development studies as an overarching framework to enable analysis of relationships between physical, social and economic factors in the urban environment.

This paper's aim is to identify structural and relational factors influencing the upstream channel management of organized retailers in India.

In‐depth interviews were conducted with 15 organized retailers and two manufacturers in India. Data were analyzed using the thematic network analysis technique from qualitative research. The authors use the framework of institutional theory to guide the discussion.

The findings suggest that government regulations influence the supply chain structure in India. Relational bonds offset the uncertainty borne of weak institutions. Informational transparency and long‐term orientation foster trust between channel partners. This trust, in turn, leads to collaborative partnerships.

The findings have implications for multinationals planning to enter the Indian retail industry. There is a need to understand complex regulatory and social institutions in India. The uniqueness of these institutions calls for adaptive strategies toward channel management.

The paper contributes to the literature on the supply chain structure in India. Despite growing interest in the Indian retailing industry, not many studies reflect on the specific B2B exchange structure in India. The paper fills this gap and also provides several marketing implications for multinational retailers planning to enter the Indian market.

The purpose of this paper is to highlight the problems with demand management in fresh food value chains and to propose a framework for demand analysis and improved demand management.

The paper draws on empirical evidence from multiple case studies undertaken in the UK food industry.

Evidence from the case studies indicates a consistent misalignment of demand and supply, due to demand amplification, poor production systems and inconsistencies with information and data handling procedures.

The case study evidence is limited to the UK context and is therefore unlikely to be representative of the global situation in fresh food value chains. The proposed framework is based on the case study evidence but has not been formally tested.

More collaboration, information sharing and joint planning from primary production through to retailing is critical if fresh food value chains are to function efficiently and effectively in retail environments where promotional activity creates significant uncertainty.

Demand management has received little attention to date, outside the industry framework of ECR. This paper is the first to propose a framework for improvement based on greater collaboration and joint planning that extends beyond the retailer‐manufacturer interface

The introduction of quality management Internet of things (QM IoT) can help food supply chain members to enhance real-time visibility, quality, safety and efficiency of products and processes. Current literature indicates three main research gaps, including a lack of studies in QM IoT in the food supply chain, the vagueness of integrative adoption of new technology framework and deficient research covering both adoption attitude and intention in the same model. This study aims to propose an analysis model based on the technological–organizational–environmental (TOE) framework and reinforced by the collaborative structure to capture the importance of the supply chain network.

The partial least square-structural equation modeling (PLS-SEM) was applied to test the impacts of the adoption factors on QM IoT adoption attitude and intention among 197 respondents in food manufacturing in Thailand.

The results indicated that compatibility, trialability, adaptive capacity, innovative capability, executive support, value chain partner pressure, presence of service provider and information sharing significantly impacted the attitude toward QM IoT adoption, while adaptive capability, innovative capability and information sharing directly influenced the QM IoT adoption intention. Furthermore, the attitude toward QM IoT adoption positively impacted the QM IoT adoption intention.

This study contributed to academicians by proposing a more solid adoption framework for QM IoT area. In addition, the business practitioners could actively prepare themselves for the QM IoT adoption, whereas the service providers could provide better and suitable service.

This research contributes to the building of a more solid framework and indicates significant factors that impact the attitude toward QM IoT adoption and adoption intention.

Examines the exercise of market power in vertical channels. Reviews the development of food systems over the past century. Presents neoclassical models arising from the work of Adam Smith, George Stigler, Harold Demsetz and John Spengler that are in juxtaposition to the more commonly advanced agency theoretic explanation of vertical organization and performance. Develops a structural model of price transmission in a channel that has differentiated product oligopolies at two stages. Increasing concentration at successive stages creates a problem of double marginalization. Vertical trading partners reduce it by avoiding vertical Nash (arms length) pricing via the use of trade promotions and other coordination methods such as private label. Finally, the rise in retail‐buyer concentration (six supermarket chains now control 52.6 percent of supermarket sales in the USA) portends a possible shift to the European model in which food retailers develop and promote their own brands.

The purpose of this paper is to investigate the level of concern and practice of sustainability development and also policy failure in the fast food supply chain.

A questionnaire using Likert scoring recorded variations in current practice and attitudes toward sustainable business. A two-stage cluster analysis was conducted to analyze the multi-attribute ordinal data obtained from the questionnaire.

Significant differences were found among clusters of fast food businesses in terms of their sustainability concern and practice, which is of interest to policy makers, consumers and supply chain partners. Medium-sized fast food dealers emerge with high environmental and social concern, but poor practice; larger retailers and fast food chains appear to have both fair social and environmental awareness and practice; and there is a cluster of small takeaway-specific outlets that have particularly low levels of knowledge of sustainability or sustainable practices. Policy failure is prevalent amongst these businesses and without regulation this represents a possible threat to the sector.

Reliance on stated rather than revealed preferences of the study may limit the implications of this analysis but it is a major step forward in understanding what has in the past been a very difficult sector to investigate due to data paucity.

Fast food is a sector with a lack of transparency which has attracted little academic attention to date, due to the difficulties of empirical analysis rather than lack of interest in a key food consumption sector. The message for the sector is to monitor its act, across all business types or face regulatory and policy intervention.

The research conducts a three-dimensional sustainability analysis of fast food supply chains to investigate the differences and trade-offs between different sustainability dimensions.