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In fairy tales, male heroes typically come from royalty and villains are categorised as pirates, evil Kings, various animal and supernatural creatures, for example, Scar, the Beast, Rumpelstiltskin, and Bluebeard. In Pirates of the Caribbean (2003), Captain Jack Sparrow lacks the villainous qualities that come from Disney's predecessor, Captain Hook. However, Jack does not possess the classic qualities of a prince. He tries to be heroic when he rescues Elizabeth Swann but turns on her to excel in his own motives. With beads in his hair, his eyes lined with kohl, and a love for accessories, Jack's appearance distorts traditional notions of masculinity. In Alice in Wonderland (2010), Tarrant Hightopp (Mad Hatter) is an untraditional character who has become detached from reality.

His madness, which is evident through his clothes, speech, and actions, comes from the destruction of his family. Jack and Hatter invert the expected order of things, ‘Now up is down’ (Verbinski, 2007). Their hats appear to be symbols of their obscure masculinity. Although they are both played by Johnny Depp, the Hatter and Captain Jack Sparrow possess unconventional male attributes which make them unlikely heroic characters. They offer a fluid perspective on the ever-changing aspects of masculinity. Unconventionality is becoming increasingly popular in Disney works. Therefore, this chapter aims to analyse two non-traditional male fairy tale characters with an emphasis on their fashion choices, lack of true love endeavours and unconventional heroic actions.

This study aims to investigate the impact of brain drain on government AI readiness in EU member countries, considering the distinctive governance characteristics, macroeconomic conditions and varying levels of ICT specialists.

The research employs a dynamic panel data model using the System Generalized Method of Moments (GMM) to analyze the relationship between brain drain and government AI readiness from 2018 to 2022. The study incorporates various control variables such as GDP per capita growth, government expenditure growth, employed ICT specialists and several governance indicators.

The results indicate that brain drain negatively affects government AI readiness. Additionally, the presence of ICT specialists, robust governance structures and positive macroeconomic indicators such as GDP per capita growth and government expenditure growth positively influence AI readiness.

Major limitations include the focus on a specific region of countries and the relatively short period analyzed. Future research could extend the analysis with more comprehensive datasets and consider additional variables that might influence AI readiness, such as the integration of AI with emerging quantum computing technologies and the impact of governance reforms and international collaborations on AI readiness.

The theoretical value of this study lies in providing a nuanced understanding of how brain drain impacts government AI readiness, emphasizing the critical roles of skilled human capital, effective governance and macroeconomic factors in enhancing AI capabilities, thereby filling a significant gap in the existing literature.

This research fills a significant gap in the existing literature by providing a comprehensive analysis of the interaction between brain drain and government AI readiness. It uses control variables such as ICT specialists, governance structures and macroeconomic factors within the context of the European Union. It offers novel insights for policymakers to enhance AI readiness through targeted interventions addressing brain drain and fostering a supportive environment for AI innovation.

Cybersecurity has received growing attention from academic researchers and industry practitioners as a strategy to accelerate performance gains and social sustainability. Meanwhile, firms are usually prone to cyber-risks that emanate from their supply chain partners especially third-party logistics providers (3PLs). Thus, it is crucial to implement cyber-risks management in 3PLs to achieve social sustainability in supply chains. However, these 3PLs are faced with critical difficulties which tend to hamper the consistent growth of cybersecurity. This paper aims to analyze these critical difficulties.

Data were sourced from 40 managers in Nigerian 3PLs with the aid of questionnaires. A novel quantitative methodology based on the synergetic combination of interval-valued neutrosophic analytic hierarchy process (IVN-AHP) and multi-objective optimization on the basis of a ratio analysis plus the full multiplicative form (MULTIMOORA) is applied. Sensitivity analysis and comparative analysis with other decision models were conducted.

Barriers were identified from published literature, finalized using experts’ inputs and classified under organizational, institutional and human (cultural values) dimensions. The results highlight the most critical dimension as human followed by organizational and institutional. Also, the results pinpointed indigenous beliefs (e.g. cyber-crime spiritualism), poor humane orientation, unavailable specific tools for managing cyber-risks and skilled workforce shortage as the most critical barriers that show the highest potential to elicit other barriers.

By illustrating the most significant barriers, this study will assist policy makers and industry practitioners in developing strategies in a coordinated and sequential manner to overcome these barriers and thus, achieve socially sustainable supply chains.

This research pioneers the use of IVN-AHP-MULTIMOORA to analyze cyber-risks management barriers in 3PLs for supply chain social sustainability in a developing nation.

From a firm-centric perspective, this study aims to elaborate on the types of servitisation strategies that can support a firm’s circular ambitions by asking: What is the role of servitisation in narrowing, slowing and/or closing resource loops? And, how are resources and capabilities arranged to provide such strategic circular service offerings?

Drawing on the experiences of an international manufacturing company from a dynamic capabilities perspective, the study offers an analytical framework that goes inside the firm’s operationalisation of its service offerings to support circularity in terms of the strategic decisions made. This framework is later used to frame the findings.

The study highlights the case-specific feedback loops and capabilities needed to support circular transitions. Various resource and innovation strategies for circularity are combined along customer interfaces and in partnership with upstream actors. Yet, open innovation strategies are conditioned by physical distance to provide circular services in remote areas.

The main contributions are empirical, analytical, conceptual and practical. The servitisation framework for circularity connects prior servitisation-circularity research and provides an analytical tool for framing future studies. The study also expands the definition of open innovation in that closed innovations for circularity can be achieved through “open” information exchange in knowledge networks, as well as provides advice for similar large manufacturing companies.

This study focuses on the strategic choices made by industrial firms for circular service provision and emphasises the environmental benefits from such choices, in addition to the economic and customer benefits covered in extant servitisation research.

Organizational design has been suggested as a facilitator of an organization’s dynamic capabilities. This study aims to investigate the role of organizational design in the concept of dynamic capabilities and explores how it facilitates long-term dynamic capabilities in practice.

Empirical data were collected via a longitudinal case study conducted at a global company engaged in the development and manufacture of railway equipment. Specifically, this study focused on one of the organization’s sites in Sweden for a period of approximately five years.

Organizational design has a twofold impact on dynamic capabilities, functioning as both a facilitator and an impediment. It is essential for structures and processes to align with the available resources and capabilities of an organization. Moreover, managers’ beliefs and decision making significantly influence the extent to which organizational design choices effectively foster dynamic organizational performance.

This longitudinal case study contributes to the theory of dynamic capabilities by identifying key changes in an organization that is transforming to become more dynamic and the impact of organizational design on the organization’s dynamic capabilities.

This paper focuses on image-to-text manuscript processing through Handwritten Text Recognition (HTR), a Machine Learning (ML) approach enabled by Artificial Intelligence (AI). With HTR now achieving high levels of accuracy, we consider its potential impact on our near-future information environment and knowledge of the past.

In undertaking a more constructivist analysis, we identified gaps in the current literature through a Grounded Theory Method (GTM). This guided an iterative process of concept mapping through writing sprints in workshop settings. We identified, explored and confirmed themes through group discussion and a further interrogation of relevant literature, until reaching saturation.

Catalogued as part of our GTM, 120 published texts underpin this paper. We found that HTR facilitates accurate transcription and dataset cleaning, while facilitating access to a variety of historical material. HTR contributes to a virtuous cycle of dataset production and can inform the development of online cataloguing. However, current limitations include dependency on digitisation pipelines, potential archival history omission and entrenchment of bias. We also cite near-future HTR considerations. These include encouraging open access, integrating advanced AI processes and metadata extraction; legal and moral issues surrounding copyright and data ethics; crediting individuals’ transcription contributions and HTR’s environmental costs.

Our research produces a set of best practice recommendations for researchers, data providers and memory institutions, surrounding HTR use. This forms an initial, though not comprehensive, blueprint for directing future HTR research. In pursuing this, the narrative that HTR’s speed and efficiency will simply transform scholarship in archives is deconstructed.

This paper provides novel evidence on the role of gender in the performance of university students, which is particularly relevant to the debate on the performance of female students in science, technology, engineering and mathematics (STEM) subjects.

Our approach relies on the metafrontier approach proposed by Huang et al. (2014), which measures students' efficiency within a given faculty and the impact of the faculty’s technology on students’ efficiency. We use a sample of 53,159 first-year students in 8 faculties from a large university in southern Italy from 2002–2003 to 2010–2011.

Students’ efficiency is relatively low, reflecting an essential role of unobserved heterogeneity. The different technologies of somewhat similar faculties have minimal impact on efficiency. There is a performance gap against women in five faculties, which on average is strongest for the faculties in the pure and applied science area. This gap increases with the proportion of female students and decreases with female lecturers.

The metafrontier has the benefit of providing relevant policy information on the drivers of student success by relying on data that universities routinely generate and preserve.

The stochastic metafrontier approach allows us to separate the group-specific frontiers from the metafrontier, yielding a decomposition of the efficiency scores of various faculties into technical efficiency scores and technological gaps.

This paper aims to investigate sustainability-led innovation, focusing on the interplay between product and process innovation for sustainability goals and the underlying supplier–customer relationships. Thus, the paper delves into sustainability-led innovation and how it affects supplier–customer relationships, and vice versa, thus providing a twofold perspective.

The textile industry is the empirical context of this study, which is exploratory research based on in-depth, semi-structured interviews with entrepreneurs, managers and experts in the textile industry.

In the textile industry, sustainability-led product innovation concerns mainly product durability and performance, product recyclability and the use of waste for new product development. Process innovation deals with circular economy, traceability and water and chemical use minimization. The paper also shows how sustainability-led innovation is implemented in more technical terms and regarding supplier–customer relationships.

The paper adopts an original perspective on how processes take place in the relationships between suppliers and customers, where there is no dominance of one actor, but innovation emerges from interdependence and interaction. Such perspective allows to provide an in-depth analysis of the supplier–customer relationships and underlying dynamics that affect sustainability-led innovation; moreover, the authors study how such innovation impacts supplier–customer relationships and the underlying relational dynamics. The value of the paper also stands in delivering a real representation of the innovation processes grounded in the textile industry.

There is growing recognition that transformation of healthcare systems towards health and well-being systems requires a continuous learning process. This explorative study aims to gain insight into the experiences with and investment in these learning processes within regional partnerships for health and in what they need to enhance their learning capacity to use the learning for transformation.

17 interviews were held with programme managers, data scientists, trusted advisors and a citizen representative, all involved in the learning process on a regional level in ten Dutch regional partnerships. The interviews were inductively and thematically analysed, focusing on the experiences and perceptions underlying the learning processes.

Regional partnerships invest in learning processes by organizing interactions between different groups of stakeholders and by reflecting on specific themes or on a region-wide level. Difficulty was found in region-wide reflection and in enhancing the learning capacity within the partnerships. Further enhancing the learning capacity required: (1) Investment in (the use of) expertise for translating learning outcomes into concrete action; (2) Leadership for change, underpinned by a shared sense of urgency to learn for transformation and (3) A facilitative environment for change which is both based on facilitative system structures and a basis of trust and commitment to learn and adapt.

The study highlighted the difficulty of learning on a region-wide level and the struggle to apply this learning for transformation. It provides insights into how learning processes and learning capacity can be further improved.

This article challenges the prevailing view that a minimum income for the poor is only relevant to basic needs. It contributes to the discussion on the meanings of money by specifically focusing on the Italian Citizenship Income scheme as a case study.

A qualitative research design was developed and implemented in four regions of northern Italy. The analysis is based on 131 in-depth interviews with minimum income recipients.

The empirical analysis shows that money transfer has various meanings. Four dimensions are identified: functional, relational, protective, and emancipatory. The first two are connected to spending, while the latter two are related to self-identity. Although the four dimensions may overlap and coexist in the daily lives of minimum income beneficiaries, they are distinguished for analytical purposes.

The article presents a comprehensive analysis of the multiple meanings that minimum income can have for beneficiaries; meanings which are often not explicitly addressed in social policy studies. It goes beyond the equally important consideration of material needs by adding other meaningful aspects. This approach makes a different way of looking at cash transfers possible, and it provides elements useful for the design and analysis of minimum income policies.