RSS 1.0Welcome to WIRE
(Wolverhampton Intellectual Repository and E-Theses)
WIRE is an open access repository for the research publications and other outputs from postgraduate students and staff at the University of Wolverhampton.
Wolverhampton staff: to deposit your publication to WIRE, go to: https://www.wlv.ac.uk/lib/research/wire/
Use the search box above or the browse function on the left to discover publications from the research community at the University of Wolverhampton.
University students and staff can also search WIRE using LibrarySearch
For further information or help, contact the Scholarly Communications Team at wire@wlv.ac.uk
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An ecological momentary assessment of the stress and coping experiences of dual-career badminton athletesA dual-career that combines academic and sporting pursuits can be stressful, as such, it is of importance to explore how dual-career athletes appraise and cope with stress. Existing dual-career literature is limited by retrospective methodologies. In seeking to address these limitations, this study utilized ecological momentary assessment three days a week for four consecutive weeks to explore the stress and coping experiences of six highly trained dual-career student badminton athletes aged between 18 and 26 years (Mage =20.75, SD = 2.4). Deductive thematic analysis of EMA diaries highlights that dual-career athletes experience various competitive, organizational, and personal stressors. Situational characteristics underpinning identified stressors were novelty, ambiguity, imminence, duration, and timing, which aligned predominantly with threat and harm appraisals and occasionally with challenge appraisals. The applied implications of study findings are discussed, particularly regarding EMA methodology for future dual-career research and coping interventions for dual-career student-athletes.
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CEO resilience in family firms in times of crisisThe purpose of this paper is to understand the conditions that influence family CEOs’ resilience in times of crisis. Drawing upon social cognitive theory and adopting a fsQCA analytic approach, the article analyzes data from 67 family businesses. The findings show that CEO resilience emerges from the interplay of different sets of conditions in single- and multi-generational family businesses. The study makes the contribution that CEO resilience is contingent on dynamics at individual, family, and business levels, suggesting that CEO resilience in crisis times reflects a “crisis bricolage” of “making do” with resources that are “in hand” and “within reach”.
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Robust local governance responses in the context of turbulence: the case of collaborative and co-created COVID-19 pandemic responses in two local authority areas in EnglandThe COVID‐19 pandemic required local and national governments to respond urgently and rapidly to new and unprecedented challenges. According to an influential strand of literature within public administration, public agencies must exhibit robust governance strategies to tackle the unpredictability, instability and complexity of a turbulent event such as the COVID‐19. In the face of turbulence, robust governance is characterised by adaptability, agility and innovation and co‐creating with partners and communities, while governance systems must evolve so that they perform more effectively in the future. This paper examines how two local authorities in England responded to the pandemic. We draw upon a novel qualitative dataset obtained through privileged access to senior council staff, elected members and council partners. Both ‘Metaltown’ (North West) and ‘Milltown’ (West Midlands) were poised, at the outset of the pandemic, to be badly hit by COVID‐19 due to their population characteristics, relative deprivation and occupational structures, and the areas did experience some of the highest numbers of infection rates and coronavirus‐related deaths. The two local responses both entailed multi‐agency action with the local authority working alongside partners in the police, emergency services, health, education, transport and housing sectors, with private enterprise and with community groups to manage the challenges. Although we observed robust governance strategies, this occurred in the absence of any deliberate policy design at the national level. Instead, the responses were locally determined, fit for purpose and adaptive in response to challenges that emerged on the ground. The findings suggest a need to modify the robust governance framework to better account for contextually specific circumstances. This has implications for how local and national governments respond to current and future challenges, such as the ongoing cost‐of‐living and climate crises.
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From heritage building information modelling towards an ‘echo-based’ heritage digital twinSince the late 2000s, numerous studies have focused on the application of Heritage Building Information Modelling (HBIM) processes and technologies for the documentation of the historic built environment. Many of these studies have focused on the use of BIM software tools to generate intelligent 3D models using information gathered from a range of data capture techniques including laser scanning and photogrammetry. While this approach effectively preserves existing or partially extant heritage, it faces limitations in reconstructing lost or poorly documented structures. The aim of this study is to develop a novel approach to complement the existing tangible-based HBIM methods, towards an ‘Echo-based’ Heritage Digital Twin (EH-DT) an early-stage digital representation that leverages intangible, memory-based oral descriptions (or echoes) and AI text-to-image generation techniques. The overall methodology for the research presented in this paper proposes a three-phase framework. Phase 1: engineering a standardised heritage prompt template, Phase 2: creation of the Architectural Heritage Transformer, and Phase 3: implementing an AI text-to-image generation toolkit. Within these phases, intangible data, including collective memories (or oral histories) of people who had first-hand experience with the building, provide ‘echoes’ of past form. These can then be converted using a novel ‘Architectural Heritage Transformer’ (AHT), which converts plain language descriptions into architectural terminology through a generated taxonomy. The output of the AHT forms input for a pre-created standardised heritage prompt template for use in AI diffusion models. While the current EH-DT framework focuses on producing 2D visual representations, it lays the foundation for potential future integration with HBIM models or digital twin systems. However, the reliance on generative AI introduces potential risks of inaccuracies due to speculative outputs, necessitating rigorous validation and iterative refinement to ensure historical and architectural credibility. The findings indicate the potential of AI to extend the current HBIM paradigm by generating images of ‘lost’ heritage buildings, which can then be used to enhance and augment the more ‘traditional’ HBIM process.