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Food waste occurs in every stage of the supply chain, but the value-added lost to waste is the highest when consumers waste food. The purpose of this paper is to understand the food waste behaviour of consumers to support policies for minimising food waste.

Using the theory of planned behaviour (TPB) as a theoretical lens, the authors design a questionnaire that incorporates contextual factors to explain food waste behaviour. The authors test two models: base (four constructs of TPB) and extended (four constructs of TPB plus six contextual factors). The authors build partial least squares structural equation models to test the hypotheses.

The data confirm significant relationships between food waste and contextual factors such as motives, financial attitudes, planning routines, food surplus, social relationships and Ramadan.

The data comes from an agriculturally resource-constrained country: Qatar.

Food waste originating from various causes means more food should flow through the supply chains to reach consumers’ homes. Contextual factors identified in this work increase the explanatory power of the base model by 75 per cent.

Changing eating habits during certain periods of the year and food surplus have a strong impact on food waste behaviour.

A country is considered to be food secure if it can provide its citizens with stable access to sufficient, safe and nutritious food. The findings and conclusions inform and impact upon the development of food waste and food security policies.

This paper examines how firms of different sizes formulate and implement strategies to achieve fit with an external environment disrupted by a geopolitical event. The context of the study is the pharmaceutical industry and how it managed the supply chain uncertainty created by the United Kingdom's decision to leave the European Union, or Brexit.

Data were collected longitudinally from the pro-Brexit vote on 23 June 2016, until the UK’s departure from the EU on 31 January 2020. Twenty-seven interviews were conducted in the pharmaceutical sector, including nineteen interviews with senior managers at eight case companies and eight interviews with experts working for trade associations and standards institutes. The interview findings were triangulated with Brexit policy and strategy documentation.

When formulating strategy, multi-national enterprises (MNEs) used worst case assumptions, while large firms, and small and medium sized enterprises (SMEs) gathered knowledge as part of a “wait-and-see” strategy, allowing them to reduce perceptions of heightened supply chain uncertainty. Firms then implemented reactive and/or proactive strategies to mitigate supply chain risks.

The study elaborates on strategic contingency theory by identifying two important conditions for achieving strategic fit: first, companies deploy intangible resources, such as management time, to gather information and reduce perceptions of heightened supply chain uncertainty. Second, companies deploy tangible resources (supply chain redundancies, new supply chain assets) to lessen the negative outcomes of supply chain risks. Managers are provided with an empirical framework for mitigating supply chain uncertainty and risk originating from geopolitical disruptions.

The purpose of this paper is to test the link between servitisation and circular economy by synthesising the effect of product-service systems (PSS) on supply chain circularity (SCC).

Following a systematic literature review methodology, the study identified 67 studies and synthesised them using content analysis.

A conceptual model is developed illustrating how PSS business models impact SCC through increased product longevity, closure of resource loops and resource efficiency. It also identifies six contextual factors affecting the implementation of SCC including: economic attractiveness of SCC; firm sustainability strategy; policy and societal environment; product category; supply chain relationships; and technology.

The conceptual model proposes that SCC increases with servitisation. It also proposes that the main circularity effect stems from increased product longevity, followed by closed resource loops and finally resource efficiency. The model is deduced from the literature by using secondary data.

The review provides practitioners with a framework to increase SCC through PSS business models. It also gives insight into the various contextual factors that may affect how a manufacturer’s servitisation strategy contributes to SCC.

This review contributes to the understanding of the relationship between servitisation and SCC by synthesising the different effects that exist. Moreover, it creates new knowledge by identifying a range of contextual factors affecting the relationship between PSS and SCC.

This paper seeks insights into how multinational enterprises restructure their global supply chains to manage the uncertainty caused by geopolitical disruptions. To answer this question, we investigate three significant geopolitical disruptions: Brexit, the US-China trade war and the coronavirus disease 2019 (Covid-19) pandemic.

The study uses an inductive theory-elaboration approach to build on Organisational Learning Theory and Dunning’s eclectic paradigm of international production. Twenty-nine expert interviews were conducted with senior supply chain executives across 14 multinational manufacturing firms. The analysis is validated by triangulating secondary data sources, including standard operating procedures, annual reports and organisational protocols.

We find that, when faced with significant geopolitical disruptions, companies develop and deploy supply chain structural ambidexterity in different ways. Specifically, during Covid-19, the US-China trade war and Brexit, companies developed and deployed three distinct types of supply chain structural ambidexterity through (1) partitioning internal subunits, (2) reconfiguring supplier networks and (3) creating parallel supply chains.

The findings contribute to Dunning’s eclectic paradigm by explaining how organisational ambidexterity is extended beyond firm boundaries and embedded in supply chains to mitigate uncertainty and gain exploration and exploitation benefits. During significant geopolitical disruptions, we find that managers make decisions in tight timeframes. Therefore, based on the transition time available, we propose three types of supply chain structural ambidexterity. We conclude with a managerial framework to assist firms in developing supply chain structural ambidexterity in response to geopolitical disruptions.

We conduct a multidisciplinary systematic literature review on climate neutrality in the supply chain. While carbon neutrality has gained prominence, our study argues that achieving carbon neutrality alone is not enough to address climate change effectively, as non-CO₂ greenhouse gases (GHG) are potent contributors to global warming.

We used multiple databases, including EBSCO, ProQuest, Science Direct, Emerald and Google Scholar, to identify articles related to climate neutrality in the context of non-CO₂ gases. A total of 71 articles in environmental science, climate change, energy systems, agriculture and logistics are reviewed to provide insights into the climate neutrality of supply chains.

We find that, in addition to CO₂, other GHG such as methane, nitrous oxide, ozone and fluorinated gases also significantly contribute to climate change. Our literature review identified several key pillars for achieving net-zero GHG emissions, including end-use efficiency and electrification, clean electricity supply, clean fuel supply, “GHG capture, storage and utilization,” enhanced land sinks, reduced non-CO₂ emissions and improved feed and manure management.

We contribute to the literature on climate neutrality of supply chains by emphasizing the significance of non-CO₂ GHG along with CO₂ and highlighting the need for a comprehensive approach to climate neutrality in addressing climate change. This study advances the understanding of climate neutrality of supply chains and contributes to the discourse on effective climate change mitigation strategies. It provides clear future research directions.

Digital transformation using Industry 4.0 technologies can address various challenges in food supply chains (FSCs). However, the integration of emerging technologies to achieve digital transformation in FSCs is unclear. This study aims to establish how the digital transformation of FSCs can be achieved by adopting key technologies such as the Internet of Things (IoTs), cloud computing (CC) and big data analytics (BDA).

A systematic literature review (SLR) resulted in 57 articles from 2008 to 2022. Following descriptive and thematic analysis, a conceptual framework based on the diffusion of innovation (DOI) theory and the context-intervention-mechanism-outcome (CIMO) logic is established, along with avenues for future research.

The combination of DOI theory and CIMO logic provides the theoretical foundation for linking the general innovation process to the digital transformation process. A novel conceptual framework for achieving digital transformation in FSCs is developed from the initiation to implementation phases. Objectives and principles for digitally transforming FSCs are identified for the initiation phase. A four-layer technology implementation architecture is developed for the implementation phase, facilitating multiple applications for FSC digital transformation.

The study contributes to the development of theory on digital transformation in FSCs and offers managerial guidelines for accelerating the growth of the food industry using key Industry 4.0 emerging technologies. The proposed framework brings clarity into the “neglected” intermediate stage of data management between data collection and analysis. The study highlights the need for a balanced integration of IoT, CC and BDA as key Industry 4.0 technologies to achieve digital transformation successfully.

Drawing on institutional complexity, this study aims to explore the interaction effect of formal and informal institutional forces on the adoption of green supplier collaboration (GSC) practices by Chinese manufacturing firms.

The paper hypothesises that the effect of the formal institutional forces on GSC in China is influenced by an informal institutional variable, guanxi, which is the interpersonal relationship between employees of the supplier and the manufacturer. To test the conceptual framework, hierarchical moderated regression analyses are conducted using multi-respondent data from 408 randomly sampled manufacturing companies in China.

Guanxi has a double-edged sword effect on the adoption of GSC practices. Specifically, guanxi reduces the negative impact of the perceived costs and the complexity of regulations on the adoption of GSC practices, but it also weakens the positive effect of suppliers’ advice and community pressures on the adoption of GSC practices.

Results contribute to supply chain management literature by offering novel theoretical and empirical insights on the Chinese institutional environment governed by both formal and informal institutional variables.

Considering guanxi’s double-edged sword effect on the adoption of GSC, manufacturing companies are advised to carefully leverage their guanxi to maintain an institutional and contingent view of the environmental consequences in China.

This study empirically examines the effect of formal and informal institutional environments on the adoption of GSC practices in emerging economies.

Perishable inventory management for the grocery sector has become more challenging with extended omnichannel activities and emerging consumer expectations. This paper aims to identify and formalize key performance measures of omnichannel perishable inventory management (OCPI) and explore the influence of operational and market-related factors on these measures.

The inductive approach of this research synthesizes three performance measures (product waste, lost sales and freshness) and four influencing factors (channel effect, demand variability, product perishability and shelf life visibility) for OCPI, through industry investigation, expert interviews and a systematic literature review. Treating OCPI as a complex adaptive system and considering its transaction costs, this paper formalizes the OCPI performance measures and their influencing factors in two statements and four propositions, which are then tested through numerical analysis with simulation.

Product waste, lost sales and freshness are identified as distinctive OCPI performance measures, which are influenced by product perishability, shelf life visibility, demand variability and channel effects. The OCPI sensitivity to those influencing factors is diverse, whereas those factors are found to moderate each other's effects.

To manage perishables more effectively, with less waste and lost sales for the business and fresher products for the consumer, omnichannel firms need to consider store and online channel requirements and strive to reduce demand variability, extend product shelf life and facilitate item-level shelf life visibility. While flexible logistics capacity and dynamic pricing can mitigate demand variability, the product shelf life extension needs modifications in product design, production, or storage conditions. OCPI executives can also increase the product shelf life visibility through advanced stock monitoring/tracking technologies (e.g. smart tags or more comprehensive barcodes), particularly for the online channel which demands fresher products.

This paper provides a novel theoretical view on perishables in omnichannel systems. It specifies the OCPI performance, beyond typical inventory policies for cost minimization, while discussing its sensitivity to operations and market factors.