Collaboration for the sustainable food supply chain: A bibliometric analysis

There is increasing attention on the topic of collaboration for sustainable food supply chains (SFSCs), with increasingly contributing journals and publications every year. The urgency of this topic is even more highlighted due to the COVID‐19 pandemic and the more recent energy and food crisis. Hence, the field needs to have a good portrait of the ongoing research in this area and to better understand future research directions to enable optimized future strategic plans and problem‐solving capability of effective collaboration for SFSCs. This paper reviews, analyses, and synthesizes the current state of research into collaboration for SFSCs. We examine a sample of 528 articles identified from the Scopus and Web of Science databases using bibliometric analysis methodology. We identify four research clusters: collaboration and sustainable supply chain management, emerging markets and resilience, digital technologies, and perishable food products. This paper clarifies interrelated themes and identifies a range of topic areas that still demand further investigation

Investigating a citrus fruit supply chain network considering CO2 emissions using Meta-heuristic algorithms

According to the increasing carbon dioxide released through vehicles and the shortage of water resources, decision-makers decided to combine the environmental and economic effects in the Agri-Food Supply Chain Network (AFSCN) in developing countries. This paper focuses on the citrus fruit supply chain network. The novelty of this study is the proposal of a mathematical model for a three-echelon AFSCN considering simultaneously CO2 emissions, coefficient water, and time window. Additionally, a bi-objective mixed-integer non-linear programming is formulated for production–distribution-inventory-allocation problem. The model seeks to minimise the total cost and CO+ emission simultaneously. To solve the multi-objective model in this paper, the Augmented Epsilon-constraint method is utilised for small- and medium-sized problems. The Augmented Epsilon-constraint method is not able to solve large-scale problems due to its high computational time. This method is a well-known approach to dealing with multi-objective problems. It allows for producing a set of Pareto solutions for multi-objective problems. Multi-Objective Ant Colony Optimisation, fast Pareto genetic algorithm, non-dominated sorting genetic algorithm II, and multi-objective simulated annealing are used to solve the model. Then, a hybrid meta-heuristic algorithm called Hybrid multi-objective Ant Colony Optimisation with multi-objective Simulated Annealing (HACO-SA) is developed to solve the model. In the HACO-SA algorithm, an initial temperature and temperature reduction rate is utilised to ensure a faster convergence rate and to optimise the ability of exploitation and exploration as input data of the SA algorithm. The computational results show the superiority of the Augmented Epsilon-constraint method in small-sized problems, while HACO-SA indicates that is better than the suggested original algorithms in the medium- and large-sized problems

Experiences and perceptions of academic motivation in adolescents with a refugee background: A reflexive thematic analysis

Little previous research exists on academic motivation in refugee adolescents, and none has been conducted in the UK that might help educators to promote motivation and mitigate demotivation in the young people they support. The aim of this study is to help address this gap by exploring experiences and perceptions of academic motivation in refugee adolescents settled in the UK. Semi‐structured interviews were conducted in person or online with three refugee adolescents and six key informants who support the education of refugee adolescents. Data was interpreted by reflexive thematic analysis, which generated three themes: refugee adolescents are striving for stability and security; academic motivation is affected by social and academic relationships; and refugee adolescents are unique individuals with varied educational needs. Of particular note, positive social and academic relationships were found to be motivating, whereas instability in refugee adolescents' lives and negative interactions with teachers were demotivating. The findings also highlight the importance of recognising refugee adolescents' individuality and their unique characteristics, which inform their educational needs and academic motivation

Uncovering the impact of digital technologies on strategising: Evidence from a systematic literature review

Adopting digital technologies in different organizations has become a trend over the last decade, yet our understanding regarding impact of digital technologies on strategising needs to be more cohersive. This paper reviews existing research on how digital transformation intersects with strategic management to adress this gap. Specifically, the aim is to explore how the digital context changes strategising. Based on a systematic review of empirical evidence from 163 journal papers, we showcased the manifestation of strategising in the digital age in terms of strategic practitioners, practices and praxis. By consolidating these findings, a typology of strategic actions in the digital age is developed and discussed, highlighting the interplay among changes in strategy‐as‐practice parameters. This framework clarifies in strategic scenarios of digital transformation and identifies various strategic directions and actions. Overall, we argue that although digital transformation has created additional strategic options, it has yet to change the underlying assumptions of strategising in firms

Gamifying engagement in spatial crowdsourcing: An exploratory mixed-methods study on gamification impact among university students

Citizen science now relies heavily on digital platforms to engage the public in environmental data collection. Yet, many projects face declining participation over time. This study examines the effect of three elements of gamification—points, daily streaks, and real-time leaderboards—on student engagement, achievement, and immersion during a five-day campus-wide intervention utilising the GAME and a spatial crowdsourcing app. Employing a convergent mixed-methods design, we combined behavioural log analysis, validated psychometric scales (GAMEFULQUEST), and post-experiment interviews to triangulate both quantitative and qualitative dimensions of engagement. Results reveal that gamified elements enhanced students’ sense of accomplishment and early-stage motivation, which is reflected in significantly higher average scores for goal-directed engagement and recurring qualitative themes related to competence and recognition. However, deeper immersion and sustained “flow” were less robust with repetitive task design. While the intervention achieved only moderate long-term participation rates, it demonstrates that thoughtfully implemented game mechanics can meaningfully enhance engagement without undermining data quality. These findings provide actionable guidance for designing more adaptive, motivating, and inclusive citizen science solutions, underscoring the importance of mixed-methods evaluation in understanding complex engagement processes. While the sample size limits the statistical generalizability, this study serves as an exploratory field trial offering valuable design insights and methodological guidance for future large-scale, controlled citizen science interventions

Research paper predicting the effects of agricultural soil tillage operations on fuel use

Wastage and economic loss in agricultural productivity during tillage operations could be predicted and reduced at the design stages. This study used a factorial experimental design to optimize tractor hourly fuel consumption during ploughing and ridging operations. The research aimed to investigate tillage effect on fuel utilization efficiency for reduction of operational costs and increase agricultural productivity. A 4,480 m2 research plot split into three blocks of nine treatments with three replicates was adopted for the research. The plot varied from loamy sand to sandy loam, which are good for agricultural productivity. The disc plough and disc ridger were the prominent tillage implements used in the research while the DFM Fuel Flow Meter was used for fuel consumption measurement. Field test parameters (ploughing depth (or ridging height), and tractor onward speed) and fuel use were measured. Using MINITAB 19 software, statistical analyses of the general full factorial design (GFFD) were carried out. These analyses included model fit adequacy, analysis of variance (ANOVA), main and interaction effects, multiple linear regression model, and response optimizer. Normal probability plots showed that the hourly fuel use during ploughing and ridging were approximately normally distributed, satisfying model fitness examination, and was confirmed by the model competence plot of frequency versus residual. The hourly fuel use during ploughing and ridging was shown to be randomly distributed with no discernible structure in the residual versus fitted value plots, supporting the residuals' constant variance requirement. Statistical analysis, and ANOVA in GFFD indicated that a significant difference exists with 95% and 99 % levels of significance on the influence of ploughing depth (or ridge height), tractor onward speed and their effects on tractor hourly fuel consumption during ploughing and ridging operations. Optimized tractor hourly fuel consumption during ploughing and ridging was attained at plough depth and ridge height of 0.10 m respectively, and tractor onward speed of 5 km h-1. This study determined that the minimum fuel consumption per hour for tractor under optimised working circumstances were 2.93 Lh-1and 3.30 Lh-1for ploughing and ridging operations respectively

Postmistresses and the state, 1660–1715

Women’s place in the post-Restoration Post Office has been overlooked in the existing literature on the mail, 1660-1715. Historians and historical geographers have explored the bureaucratic and administrative history of the Post; the expansion of postal routes; and the importance of change in the postal network to the delivery of letters. There has, however, been no social history of the post. This article reveals the positions occupied by women within the early modern post but focuses principally on postmistresses in the period 1660-1715. It explains why women, particularly widows, were considered suitable for the office. The article defines the role of postmaster and explains the behaviour required of officeholders, combining hospitality, logistics, administration, and the provision of intelligence. The functions and legitimation of postmasters developed considerably from the mid-seventeenth century alongside similar offices within the early modern state. As important cogs in an increasingly complex machine of communication and administration, postmistresses were part of the process of state formation, and their work legitimised the state in the provinces. This article argues for the first time that postmistresses were a significant, and yet unnoticed, presence in the early modern British state at a key stage of its development

Guided self-help for bulimia nervosa: A comparison of individual and group provision

This service evaluation explores the implementation of Guided Self-Help (GSH), the first line recommended treatment for Bulimia Nervosa, in both individual and group formats, in an NHS community eating disorder service. The study aimed to examine the effectiveness of GSH, compare this across treatment modalities, and explore the therapy experience of participants. N=23 participants engaged in individual and n=38 engaged in group treatment. Three outcome measures (EDE-Q, CIA and PHQ-9) were administered pre- and post-treatment. For both treatment modalities, post-intervention scores significantly improved on all outcome measures. In comparison, the individual treatment modality was found to be more effective for those with more extensive depressive symptoms. The study suggested that both individual and group GSH interventions are effective, supporting group implementation within community eating disorder services. It may be that those with more extensive depression symptoms would benefit to a greater extent from the individual intervention

Connectedness between sectoral cryptos and counterpart stocks

This study examines the interconnection between sectoral cryptocurrencies and their corresponding stocks across 14 industries from 2022-2024. Using wavelet coherence, we evaluate crypto-stock interconnectedness across multiple investment frequencies and timescales and identify cross-sector patterns using k-means clustering of coherence maps. We conduct two types of analyses: (1) a within-sector dynamics, assessing time-varying connectedness between each crypto-stock pair; and (2) cross-sector grouping to uncover common regimes. Results show weak, fragmented, and short-lived in cloud computing, telecommunications, gaming and gambling, with only sporadic bursts. In contrast, supply chain and education exhibit strong, persistent long-term coherence. Insurance, cybersecurity, and e-commerce display episodic, event-driven coherence, with peaks around policy shifts and major sector news. These findings highlight that crypto-stock connectedness is sector- and horizon-dependent rather than uniform. The evidence informs sector-specific risk management, portfolio construction, and timing of tokenisation strategies, and supports more tailored regulatory oversight

Special section examining risk discussions across clinical specialties using conversation analysis: From information transfer to an interactional perspective.

Risk and uncertainty are pervasive in clinical settings, from diagnosis to treatment decision-making and disease management. Accordingly, risk communication has attracted a sustained interest, and is predominantly characterised by information transfer, with a focus on how messages are framed and received. Conversation analysis (CA) provides a different approach to analysing communication, examining the complexities of how risk is broached, is calibrated to individual contexts, and is sensitively negotiated across clinical encounters. This special section showcases original research that significantly advances our insights into risk communication, offering novel and rigorous insights from a spectrum of actual clinical encounters. Seven original papers present analyses of authentic recordings of clinical encounters in the U.K., USA, and Sweden across a range of clinical specialties (primary care, obstetrics, nephrology, paediatrics, and neurology). The nature of the risks varies from immediate and high-stakes situations (such as during labour and delivery), to more distal severe risks (seizure-related unexpected death or fatal anaphylaxis). Other studies examine the likelihood of illness development. Collectively, these studies illustrate the projectability of risk, the collaborative construction of (and resistance to) risk-oriented lifestyle behaviours, and the ways in which patient/carer concerns or worries are invoked. They highlight practices for gathering risk-related information, and the pivotal ways in which risk discussions can facilitate shared decision-making. Studies also show practical ways clinicians sensitively address severe outcomes or morally charged matters of risk-relevant lifestyle behaviours, carefully progressing from establishing a patient's current understanding to providing recommendations. The final paper explores how these types of studies can be translated into training. A guest commentary provides a broad reflection on how CA investigations advance the field of risk communication. Overall, this special section highlights the promise of interactional studies in clinical risk communication, provides recommendations for future research, and calls for the systematic integration of this knowledge into clinical practice. [Abstract copyright: Copyright © 2025 The Authors. Published by Elsevier B.V. All rights reserved.