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This research aims to develop a method for defining the identity of multilayered neighbourhoods by taking a case study in Nantes/France. It utilizes the urban identity concept to achieve this goal, which is defined by physical and identificatory relation to the neighbourhood.

The methodology includes historical periodical analysis, housing form and architectural stylistic definition, visualization and geographic information system (GIS) mapping. The research conducts spatial analysis to reveal the physical component of the urban identity of the neighbourhood and interviews (No = 50) with dwellers for the identificatory relation, asking about neighbourhood tangible/non-tangible elements. All these data are mapped through GIS.

The study found that the physical component is defined by three urban layers (identified as industrial, reconstruction and development, and post-industrial) and eleven housing typologies. As for the identificatory relation, the authors found that the interviewees mostly identified with their neighbourhood, whereas a minority did not. The most important form of identification with the neighbourhood was its atmosphere, and as reasons were given, the neighbourhood's positively evaluated quality, good location and social values.

It proposes the definition of the physical component through urban layers and housing typologies. The identificatory relation also considers the identification of the residents with the neighbourhood's tangible/non-tangible urban elements.

This pathway paper offers research guidance for investigating illegal supply chains as they increasingly threaten societies, economies and ecosystems. There are implications for policy makers to consider incorporating supply chain expertise.

The authors’ work is informed by the team's previous and ongoing studies, research from fields such as criminology, investigative journalism and legal documents.

Illegality occurs in many supply chains and consists in multiple forms. Certain sectors, supply chain innovations, longer supply chains, and heterogeneous regulations and enforcement exacerbate illegal activities. But illegal activity may be necessary for humanitarian, religious or nationalistic reasons. These areas are under explored by supply chain researchers.

By encouraging supply chain academics to research in this area as well as form collaborative partnerships outside of the discipline, the authors hope to move the field forward in prevention as well as learning from illegal supply chains.

Practitioners seek to prevent issues like counterfeiting with their products as well as fraud for economic and reputational reasons.

Governments strive to minimise impacts on their economies and people, and both governments and NGOs attempt to minimise the negative social and environmental impacts. Policy makers need supply chain researchers to evaluate new laws to prevent enabling illegality in supply chains.

As an under-explored area, the authors suggest pathways such as partnering with other disciplines, exploring why these supply chains occur, considering other data sources and methodologies to interdict illegality and learning from illegal supply chains to improve legal supply chains.

This chapter draws from research on aesthetic labour, gender, management and organisation studies and research on women's careers. We base our analysis on two empirical data sets, namely interviews with women mid-managers in Finland and Scotland, and interviews with highly positioned expert women in Finland in knowledge work. Women in different phases of their careers and life experience manifold pressures on appearances, and are increasingly aware of the demands to ‘look good and sound right’. We address how these pressures impact on women managers' and experts' well-being and career plans.

This paper aims to provide a starting point to discuss how social enterprises can drive systemic change in terms of social impact through operations and supply chain management.

This paper reviews existing literature and the four papers in this special issue and develops a conceptual framework of how social enterprises and their supply chains create social impact and further enable systematic change.

Our paper finds that social impact and systemic change can be shaped by social enterprises at three different levels of analysis (organization, supply chain and context) and through three enablers (cognitive shift, stakeholder collaboration and scalability). Such dimensions are used to position current literature and to highlight new research directions.

This paper proposes a novel understanding of operations and supply chain management in social enterprises intended as catalysts for systemic change. Based on this premise we distinguish different practices and stakeholders to be considered when studying social impact at different levels. The conceptual framework introduced in the paper provides a new pathway for future research and debate by scholars engaged at the intersection of social impact, sustainable operations and supply chain management.

The aim of the study is to identify best practices from Business Excellence (BE) award-winning organizations on the use of their BE self-assessment (internal assessment) and third-party assessment (external assessment including BE award assessments) for organizational improvement.

An explanatory sequential mixed methods approach was used to gather data from 50 organizations across 17 countries with varying degrees of BE maturity. Twenty of these, representing 40% of the sample, then participated in semi-structured interviews through which their understanding of the impacts of various practices was explored in more detail. From this sub-sample, three (3) emerged as exemplars used as the case studies reported here.

The findings from the first and broader study of the 50 organizations demonstrate a diverse approach to BE assessments, much of which is tailored to the maturity level of each organization. BE organizations with a high BE maturity level are more likely to conduct regular self-assessments and certificate assessment. Key practices identified in the case study organizations were their unique approach to preparing the organization for assessments irrespective of the BE award criteria, the use of mock assessments to prepare for award assessments, the use of customer-led assessments, thorough action plan review process, the use of internal assessments to grow internal capabilities, participation in regular award assessments, the use of external BE assessors and experts for assessments, increased use of technology to support the assessment process, and varying assessment types by organizational BE maturity.

This research provides a specific and valuable contribution to the existing BE literature by presenting contemporary, real-world examples of best practices in BE assessment. It offers a unique perspective on how award-winning organizations tailor their strategies to meet diverse business needs and strategic objectives.

Food supply chain resilience is a critical aspect in ensuring the continuous and reliable flow of food, particularly in the face of disruptions. This study aims to address specific gaps in the existing literature by conducting a bibliometric analysis. The primary objective is to identify key areas of concern and lacunae related to disruptions and resilience within the food supply chain. The study also strives to contribute to the field by developing a comprehensive framework that evaluates the factors influencing resilience. Furthermore, the research intends to propose effective strategies for mitigating and recovering from disruptions, emphasizing the urgency of these measures in light of identified gaps in the current body of literature.

To achieve these objectives, the authors extracted the most relevant papers from Scopus and Web of Science (WoS) databases. The analysis parameters included a comprehensive review of current food supply chain practices and an exploration of trending research topics, such as sustainability, adaptability, circular economy and agility. Notably, the study recognized the pervasive impact of COVID-19 on food supply chain disruptions, with a high occurrence in the literature. Using advanced analytics tools like VOSviewer and Biblioshiny, the research delved into the role of modern technologies, including Industry 4.0, the Internet of Things (IoT), artificial intelligence (AI), machine learning (ML) and blockchain in addressing disruptions and enhancing resilience.

The research reveals a significant impact of the COVID-19 pandemic on food supply chain disruptions, underscoring the critical need for strategies to bolster resilience. Notably, the study identifies the pivotal role of modern technologies (Industry 4.0, IoT, AI, ML and blockchain) in mitigating disruptions and enhancing resilience in the food supply chain. The bibliometric analysis conducted through VOSviewer and Biblioshiny provides valuable insights into research trends and focal areas within the literature.

The observed importance of Industry 4.0, IoT, AI, ML and blockchain implies a practical need for integrating these technologies into food supply chain operations. Moreover, the paper discusses strategies for reducing the impact caused by disruptions, providing practical guidance for resilience planning in food supply chains. Researchers can leverage the findings to direct future efforts toward areas with identified gaps and opportunities, fostering advancements in the field and offering practical insights for real-world applications.

By amalgamating insights from bibliometric analysis and the developed framework, this study contributes to a holistic understanding of the challenges and opportunities in fortifying the resilience of the food supply chain. The identified factors and strategies offer valuable insights for researchers and practitioners seeking to address disruptions in food supply chains. The study’s unique contribution lies in bridging theoretical perspectives with practical applications, enhancing the relevance of business-to-business/industrial supply chain theories.

The purpose of this paper is to update the core data set of self-neglect safeguarding adult reviews (SARs) and accompanying thematic analysis. The initial data set was published in this journal in 2015 and has since been updated annually. The complete data set is available from the author. The second purpose is to reflect on the narratives about adult safeguarding and self-neglect by focusing on the stories that are told and untold in the reviews.

Further published reviews are added to the core data set, drawn from the national SAR library and the websites of Safeguarding Adults Boards (SABs). Thematic analysis is updated using the domains used previously, direct work, the team around the person, organisational support and governance. SAR findings and recommendations are also critiqued using three further domains: knowledge production, explanation and aesthetics.

Familiar findings emerge from the thematic analysis and reinforce the evidence-base of good practice with individuals who self-neglect and for policies and procedures with which to support those practitioners working with such cases. SAR findings emphasise the knowledge domain, namely, what is actually found, rather than the explanatory domain that seeks to answer the question “why?” Findings and recommendations appear to assume that learning can be implemented within the existing architecture of services rather than challenging taken-for-granted assumptions about the context within which adult safeguarding is situated.

A national database of reviews completed by SABs has been established (www.nationalnetwork.org.uk), but this data set remains incomplete. Drawing together the findings from the reviews nonetheless reinforces what is known about the components of effective practice, and effective policy and organisational arrangements for practice. Although individual reviews might comment on good practice alongside shortfalls, there is little analysis that seeks to explain rather than just report findings.

Answering the question “why?” remains a significant challenge for SARs, where concerns about how agencies worked together prompted review but also where positive outcomes have been achieved. The findings confirm the relevance of the evidence-base for effective practice, but SARs are limited in their analysis of what enables and what obstructs the components of best practice. The challenge for SAR authors and for partners within SABs is to reflect on the stories that are told and those that remain untold or untellable. This is an exercise of power and of ethical and political decision-making.

The paper extends the thematic analysis of available reviews that focus on work with adults who self-neglect, further reinforcing the evidence base for practice. The paper analyses the degree to which SARs answer the question “why?” as opposed simply to answering the question “what?” It also explores the degree to which SARs appear to accept or challenge the context for adult safeguarding. The paper suggests that SABs and SAR authors should focus explicitly on what enables and what obstructs the realisation of best practice, and on the choices they make about the stories that are told.

We develop a conceptual framework as a basis for thinking about the impact of extractive industries and emancipatory potential of alternative accounts. We then review selected alternative accounts literature on some contemporary issues surrounding the extractive industries and identify opportunities for accounting, auditing, and accountability research. We also provide an overview of the other contributions in this special issue.

Drawing on alternative accounts from the popular and social media as well as the alternative accounting literature, this primarily discursive paper provides a contemporary literature review of identified issues within the extractive industries highlighting potential areas for future research. The eight papers that make up the special issue are located within a conceptual framework is employed to illustrate each paper’s contribution to the field.

While accounting has a rich literature covering some of the issues detailed in this paper, this has not necessarily translated to the extractive industries. Few studies in accounting have got “down and dirty” so to speak and engaged directly with those impacted by companies operating in the extractive industries. Those that have, have focused on specific areas such as the Niger Delta. Although prior studies in the social governance literature have tended to focus on disclosure issues, it is questionable whether this work, while informative, has resulted in any meaningful environmental, social or governance (ESG) changes on the part of the extractive industries.

The extensive extractive industries literature both from within and outside the accounting discipline makes a comprehensive review impractical. Drawing on both the accounting literature and other disciplines, this paper identifies areas that warrant further investigation through alternative accounts.

This paper and other contributions to this special issue provide a basis and an agenda for accounting scholars seeking to undertake interdisciplinary research into the extractive industries.