Rosario Michel-Villarreal

Short food supply chains (SFSCs) have gained attention as mechanisms for strengthening local food systems and enhancing producer value. However, many SFSCs involving traditional artisan dairy products struggle to remain viable in competitive markets characterised by industrial production and weak market positioning. This study examines the viability of the SFSC for queso tenate, a traditional artisan cheese from central Mexico, through a cybernetic perspective using the Viable System Model (VSM) and the Viplan method. Accordingly, an integrative framework is proposed that combines cybernetic organisational design with a value chain perspective and a core infrastructure of food technology practices. The SFSC is analysed through the focal enterprise as the primary coordination and integration point for production, coordination, control, intelligence, and governance functions. The analysis incorporates technical and managerial activities, including food technology practices, production operations, and market-related processes. Using the Viplan method, the study represents systemic functions within the SFSC. The results identify structural weaknesses affecting viability, including fragmented coordination, limited technological validation, and insufficient market differentiation. The findings suggest that the configuration of systemic functions, as defined by the VSM, may be associated with organisational conditions shaping system functioning in traditional artisan food systems. The proposed framework provides a structured basis for diagnosing areas where viability may be strengthened. Limitations are acknowledged regarding the conceptual approach, the single-case study design, and the generalisability of the results. Future research may extend this work by examining diverse traditional cheese supply chains, exploring viability across multiple recursion levels, strengthening core infrastructure and market development activities, and incorporating stakeholders’ perspectives within SFSCs.

Short food supply chains (SFSCs) for artisan dairy products promote rural development, cultural preservation, and consumer trust but face challenges not found in mainstream chains. This study focuses on queso Tenate, a traditional cow-milk cheese from central Mexico, and examines how its SFSC organisational structure influences its capacity to ensure food safety, quality consistency, market delivery, and viability. Using a single-case exploratory design, the study applies the Viable System Model (VSM) as a diagnostic framework to map systemic functions within an artisan dairy enterprise. Data were collected through VSM-informed interviews and observations of production and retail practices. The findings show that food safety, quality performance, and market delivery reliability are structurally mediated by systemic coherence, not product characteristics alone. While strong relational coordination and shared identity sustain viability, several functions—particularly coordination, audit, and intelligence—remain person-dependent. This study identifies structural implications for strengthening regulatory coordination and monitoring practices without undermining relational management or artisan identity. The primary contributions are as follows: (i) extending SFSC research through a systemic diagnosis of an artisan dairy chain in an emerging economy; (ii) linking VSM-based organisational study to food safety, quality consistency, and market performance; and (iii) positioning VSM as a conversational tool for SFSC viability. Limitations include the single-case design, reliance on qualitative data, and absence of longitudinal measurements. Future research should compare VSM applications across multiple SFSCs, integrate quantitative analyses, and explore its use as a management tool. The study highlights the role of systemic coherence in ensuring SFSC sustainability and cultural embeddedness.

This exploratory study investigates Generative Artificial Intelligence’s (GenAI) use in strategy ideation for nanostores—i.e., small independent grocery retailers—to enhance their competitiveness while contributing to community sustainability. Nanostores, particularly in emerging countries, face intense competition and rapidly changing trends. These stores adopt various strategies by leveraging their proximity to consumers in neighbourhoods, resulting in different business configurations. While the existing literature highlights the broader nanostores’ functions, there is limited research on how they may develop comprehensive strategies to face their challenges. By employing a thing ethnography methodology, this work proposes GenAI thing interviewing—i.e., with ChatGPT 3.5 and Microsoft Copilot—through incremental prompting to explore potential strategy ideation and practices. Key findings suggest GenAI conversations can aid shopkeepers in strategy ideation through human-like written language, aligning with small business dynamics and structures. This proposition results in a GenAI ideation framework for strategy generation and definition. Moreover, this technology can enhance nanostore competitiveness and sustainability impact by enacting improved strategy practices in stakeholder engagements. Accordingly, this work’s main contribution underscores a GenAI-enabled conversational approach to facilitate nanostores’ strategy ideation and embedding in everyday business operations. Future work must address the limitations and further investigate GenAI’s influence on human understanding and technological creation, strategy ideation, adoption, and usability in nanostores.

This exploratory study investigates the use of Generative Artificial Intelligence (GenAI) tools in developing strategy practices for nanostores — i.e., small independent grocery retailers — to enhance their competitiveness while contributing to community sustainability. Nanostores, particularly in emerging countries, face intense competition and rapidly changing trends. By leveraging their proximity to consumers in neighbourhoods, these stores adopt various strategies, such as offering complementary services, integrating technology, and adapting business models. While existing literature highlights the broader economic, social, and environmental roles of nanostores, there is limited comprehensive research on how they may simultaneously contribute to their competitiveness and communities’ sustainability. This study employs a 'thing ethnography' approach, using GenAI tools —i.e., ChatGPT 3.5 and Microsoft Copilot— to explore potential strategy practices for these shops, and reflect on their possible use for strategy ideation and implementation. Key findings suggest that prioritising local sourcing, understanding local preferences, flexible inventory management, efficient retail operations, in-store sustainable practices, promoting healthy lifestyles, and diverse community engagement are crucial for success. However, the study also acknowledges the limitations of GenAI tools, including possible bias and the need for result validation. By aligning with these evolving requirements, nanostores can strive in neighbourhoods and decisively promote sustainable communities.

The emergence of generative artificial intelligence (GenAI) requires innovative educational environments to leverage this technology effectively to address concerns like academic integrity, plagiarism, and others. Additionally, higher education needs effective pedagogies to achieve intended learning outcomes. This emphasizes the need to redesign active learning experiences in the GenAI era. Authentic assessment and experiential learning are two possible meaningful alternatives in this context. Accordingly, this article investigates how GenAI can enhance teaching and learning by constructively addressing study situations beyond conventional learning approaches and cultivating high-order skills and knowledge acquisition. This study employs thing ethnography to examine GenAI tools’ integration with authentic assessment and experiential learning and explore implementation alternatives. The results reveal insights into creating human-centered and GenAI-enhanced learning experiences within a constructive alignment. Specific examples are also provided to guide their implementation. Our contributions extend beyond the traditional use of GenAI tools as mere agents-to-write or agents-to-answer questions to become agents-to-support experiential learning for authentic assessment. These findings underscore the transformative role of GenAI tools in enhancing teaching and learning efficacy and effectiveness. The limitations in treating GenAI tools as subjects in thing ethnography are acknowledged, with potential for future implementation evaluation.

ChatGPT is revolutionizing the field of higher education by leveraging deep learning models to generate human-like content. However, its integration into academic settings raises concerns regarding academic integrity, plagiarism detection, and the potential impact on critical thinking skills. This article presents a study that adopts a thing ethnography approach to understand ChatGPT’s perspective on the challenges and opportunities it represents for higher education. The research explores the potential benefits and limitations of ChatGPT, as well as mitigation strategies for addressing the identified challenges. Findings emphasize the urgent need for clear policies, guidelines, and frameworks to responsibly integrate ChatGPT in higher education. It also highlights the need for empirical research to understand user experiences and perceptions. The findings provide insights that can guide future research efforts in understanding the implications of ChatGPT and similar Artificial Intelligence (AI) systems in higher education. The study concludes by highlighting the importance of thing ethnography as an innovative approach for engaging with intelligent AI systems and calls for further research to explore best practices and strategies in utilizing Generative AI for educational purposes.

Purpose: This study aims to advance current knowledge on resilient and sustainable short food supply chains, by identifying sustainability practices and resilience capabilities and how these interact.Design/methodology/approach: Empirical data were collected from three cases via 16 semi-structured interviews. This methodological choice answers a call to develop more case studies to better understand perspectives on sustainable and resilient supply chains. Thematic analysis was used for data analysis.Findings: Sustainability practices may positively enhance the resilience of short food supply chains, and vice versa. Specifically, social sustainability practices are perceived as enablers of resilience capabilities, and production practices can have a positive or negative impact on resilience capabilities.Originality/value: This research addresses an important gap in the current short food supply chains literature, by looking at sustainability and resilience in an integrated way for the first time. The proposed working hypotheses and conceptual framework illustrate the complex relationship between social, economic and environmental sustainability and five resilience capabilities within short food supply chains.

Industry 4.0 is predicted to significantly transform the jobs and skill profiles of workers. Implications for higher education may involve dramatic changes in the demand for knowledge and skills. In response to this, a Challenge-Based Learning (CBL) intervention was designed with the aim of developing working skills for the future of work on undergraduate students by embedding the Industry 4.0 theme in the Operations Management curricula. The CBL intervention was implemented in two different academic terms at a UK university, and views from 302 undergraduate business students were captured using document analysis. The benefits are reported in terms of knowledge acquisition and the application and development of key desirable working abilities for the future. The results suggest that CBL increases students’ understanding of Industry 4.0 issues in real-life settings. It also provides an environment for soft-skills training for skills, including collaboration, communication, planning and problem-solving. This study provides a blueprint for the implementation of CBL in the Operations Management curricula. The study validates existing findings obtained from the application of CBL in other disciplines. Whilst the proposed CBL intervention might be easily replicated in business schools in the UK, the findings on students’ experiences might not be directly generalized to other contexts or disciplines.

The interest in short food supply chains (SFSCs) has grown significantly in the last decade, notably in respect of their potential role to achieve more sustainable food chains. However, a major barrier to achieving sustainable supply chains is the uncertainty associated with supply chain activities. Therefore, this paper aims to explore the different resilience capabilities that SFSCs possess and the potential role of digital technologies as enablers of SFSCs’ resilience. Using a case study research approach, semi-structured interviews were conducted in two SFSCs in Mexico. Collected data were analyzed using thematic analysis. Findings suggest that SFSCs possess the supply chain resilience (SC resilience) capabilities investigated here, namely flexibility, redundancy, collaboration, visibility and agility. A key finding is the importance of low-cost digital technologies (including freeware and social media) that can support flexibility, collaboration, visibility and agility. These findings raise important implications for SFSCs actors exploring opportunities to improve their collective resilience. This study expands the current literature by proposing a conceptual framework that summarizes a wide variety of strategies that support SC resilience capabilities in the context of SFSCs.

In recent years, increasing attention has been paid to individuals’ organizing themselves and managing food systems in an ‘alternative’ and more sustainable way. Such emerging food initiatives are most commonly known as ‘Alternative Food Networks’ (AFNs). However, there is an ongoing debate concerning the extent to which AFNs facilitate social, economic and environmental change. There are criticisms of the overall sustainability promise of AFNs related to sufficiency of impact, possible counter effects and the relevance of impacts. Because empirical studies often only focus on specific sustainability issues or AFNs, it has been difficult to develop more robust theories about the relations between diverse AFNs arrangements and sustainability. Thus, the aim of this paper is to contribute towards reducing this knowledge gap through a systematic literature review on AFNs in relation to sustainability. We summarize main methodological approaches, the types of AFNs studied and sustainability dimensions addressed in literature to date. Findings serve as reference to propose opportunities for future research regarding sustainability in AFNs.