University of Wales Trinity Saint David

University of Wales Trinity Saint David

University of Wales Trinity Saint David
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    1993 research outputs found

    Canada’s Net Zero -440 Megatons of CO2 by 2030: Is a battle between Human System Dynamics and the Political - Economic systems.

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    Canada enjoys a natural resource based economy and therefore a tacit beneficiary signifying the carbon embedded “hockey stick of economic growth” from its’ wealth of fossil fuel and mining industries. However, affected by climate change, Canada is determined to mitigate its carbon emissions and thus committed to reduce CO2 emissions by at least 40 per cent below 2005 levels by the end of the decade or to no more than 440 Mt a year in 2030 en route to net zero by 2050. The research question: What could be the most productive and objective financial incentive program that must be implemented to avoid policy resistance by the general public and, if those incentives potentially spur equitable and tangible returns to citizens and transformation outcomes for Canada’s political -economy and the natural environment. The research intends to answer this question by undertaking a Qualitative primary research via a mailed out survey. A purposive sample of randomly selected households voluntarily respond to the Likert scale rated Questionnaire informing the economic independence of business organization, the inter-dependence of human system dynamics with the natural environment and the impact of political -economic policy mechanisms on society and business. Researcher’s bias in designing the questionnaire has been considerably eliminated by requesting the respondents to provide their own comments in writing in a separate section. Insights from the research reveal an evolving socio-economic dimension augmented by technology advancements. It further emphasized the human relationship to energy efficiency through Affordability, Accessibility, Acceptance and Acquisition and that climate accountability can’t be to increase top line business revenue, rather to develop an equitable and sustainable Green economy for the people and nation

    Founts of Knowledge: An Archaeological Ethnography of Four Sacred Wellsprings in Glamorgan, Wales

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    Sacred wells and springs in Wales are well-evidenced as heritage sites of contemporary ritual significance in reception of earlier traditions (Holmes, 2020; Jones, 1954). They are associated with likely early medieval provenance and contextualised by ancient and prehistoric ritual practices at similar water sources (Huws, 2022; Ray, 2020). Despite strong evidence of medieval saintly associations, late modern ritual, and ongoing use, however, the site-biographies of many specific Welsh wellsprings are muddied. The length and variety of their possible use periods, post-Reformation erosion, and an ambiguous archaeological record make many wellsprings complex subjects (Roberts, 2011; Seaman, 2020). In an attempt to account for this complexity, this study synthesises archaeological and ethnographic approaches to consider four case study wellsprings in Glamorgan in multitemporal context (Hamilakis, 2011). Through an ‘archaeological-ethnographic landscape survey’ (AELS), an analysis is developed considering the interplay of a range of historical periods of magico-religious significance and contemporary use (Hamilakis, 2011). References to archaeological ethnography emphasise themes of materiality and object agency, ontological reflexivity, and experiences of liminality (Bennet, 2010; Chadwick, 2012; Foley, 2013; Latour, 2005). Supplementing sparse archaeological data with ethnographic methods is found to be interpretively generative, although AELS may be a more effective contributor to more intensive archaeological research

    Business Development Plan; HungaTech Support LTD

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    HungaTech Support Ltd. is a UK-registered private limited company offering remote IT support services to small and medium-sized enterprises (SMEs) across the United Kingdom. The company operates through a hybrid nearshore model, combining UK-based client management with a skilled technical workforce in Hungary. This structure ensures cost efficiency, fast response, and strong legal compliance under GDPR and UK data protection laws (ICO, 2024). The mission of HungaTech is to provide affordable, reliable, and professional IT support that meets the digital demands of UK SMEs. Its services are divided into three levels—basic helpdesk, managed IT, and advanced security—allowing flexibility and scalability for different client needs. The business aims to secure five clients within six months and achieve £100,000 revenue in its first year. Market research shows high demand for affordable IT support as UK SMEs increasingly depend on digital tools but face high costs for local services (IBISWorld, 2025). HungaTech’s nearshore strategy positions it between expensive domestic providers and unreliable offshore options, offering both quality and affordability (Ashcroft, 2023). The company’s 24-month roadmap focuses on certification, scalability, and sustainability, including ISO 27001 and Cyber Essentials compliance. Its marketing strategy relies on LinkedIn outreach, CRM automation, and client referrals, supported by a £14,000 digital marketing budget. Financial forecasts project profitability by quarter five and long-term stability through recurring revenue. HungaTech’s model aligns with UK digital transformation goals, offering secure, sustainable, and legally sound IT solutions for growing SMEs

    Material culture, the public and the extraordinary – “Unloved” museums objects as the tool to fascinate

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    Museum-excavations – discovering unprovenanced and forgotten objects in museums’ storerooms – open new opportunities for engagement and highlight the consequent necessity to (de-)contextualise the discovered artefacts. Despite being unprovenanced – or even because of that – it is important to make sense of these "ordinary" finds. Developing strategies of unmasking the EXTRAordinary within such objects – an approach on which I presented in my paper Narrating the Extra the Ordinary has: “Re-excavating” objects in storage rooms of local museums as part of an archaeology of unloved objects as part of the workshop "Excavating the Extra-Ordinary - Challenges & merits of working with small finds" (JGU Mainz, 08-09 April 2019 – Zinn. 2019a) – and communicating them as part of imaginative activities for the wider public and the research community has been at the core of the described cooperative project, aiming at the literal and cultural (re-)discovery of ancient Egyptian artefacts. As Cyfarthfa Castle Museum and Art Gallery serves the local South Wales valleys, it was seen difficult to incorporate the Egyptian collection into the narrative of the museum’s permanent exhibition. The project brings these objects back to life by simultaneously creating different types of cultural representations via academic outputs, exhibitions, storytelling, a Museum of Lies and artwork inspired by the items. All these methods center on the materiality of the objects from which different meanings are drawn. This approach connects these objects with several identities in which they are placed. The engagement with all audiences/stakeholders proved crucial for the success of this project and leads to a sustainable interaction with neglected artefacts

    Youth Work Funding Review: Phase 3 Summary Report, March 2025.

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    This report presents a summary of the research undertaken for phase 3 of the Youth Work Funding Review in Wales, commissioned by the Welsh Government. The summary report will: First, outline the research that was undertaken for phase 3. Second, it will present an overview of the qualitative data outcomes including limitations. Third, make recommendations for the Welsh Government and the sector to consider future research that may enable analysis of the economic value of youth work

    Entrepreneurship intentions of higher education institution students in Nigeria: antecedents and interactions

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    This study used structural equation modelling (SEM) to examine how cultural values, perceived success expectations, and personal abilities shape entrepreneurial intention among Nigerian university students. A structured questionnaire was used to collect quantitative data from 147 university students and analysed using Partial Least Squares SEM (PLS-SEM). The findings reveal that entrepreneurial intention is shaped by personal abilities, cultural values, and perceived success expectations, with personal abilities most prominent. Additionally, perceived success expectations strongly influence personal abilities and moderately affect cultural values. These results demonstrate how cultural norms, perceived success expectations, and individual aptitudes affect entrepreneurship uptake by Nigerian university students. This study empirically tests the direct effects of personal abilities (PA), cultural values (CV), and perceived success expectations (PSE) on entrepreneurial intention (EI) in a context where these relationships are underexplored. Unlike prior studies, we validate PSE’s dual role in reinforcing both PA and CV, offering new insights for theory and practice in emerging economies. The findings inform educational initiatives and policies to foster entrepreneurial among students in Nigeria, leading to economic growth

    Bridging Practice: The Use of Youth Work Methodologies Within Youth Justice. A Case Study of a Youth Justice Team in South Wales

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    This research centres on the presence of youth work methodologies in a youth justice context by undertaking a case study with a Youth Justice Team in South Wales. Criminal justice literature is increasingly recognising the importance of alternative approaches within the youth justice service, such as the Child First guidance. Yet little research has been afforded entirely to the prevalence of youth work methodologies in youth justice work. How do practitioners navigate the dichotomy between engagement and compliance when enacting their practice with young people, if at all? What does this tell us about the present state of youth justice practice and policy? The Child First approach was also considered, as this has been adopted by the Youth Justice Board as expected practice, to uncover whether it relates to or enhances the predominance of youth work methodologies in youth justice. This study investigates such queries with ten youth justice professionals to gain an understanding of their everyday work, identities and culture within a Youth Justice Team. In-depth conversations elicited the personal approaches of participants, and how they curated their work to uphold the interests, safety and well-being of the young people they supported. The study also invites exploration into the perspectives of young people who offend, and whether they feel advocated for or empowered by youth work methodologies in youth justice. This research illustrates how youth work is utilised within youth justice, yet certain personal, structural and cultural barriers obstruct its full implementation. Nevertheless, youth justice professionals strive to embed it in youth justice work, due to a recognition for youth work methodologies’ influence on participatory, engaging and meaningful practice with young people

    Feasibility of a Prognostication Aid to Promote Advance Care Planning.

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    Background: Advance care planning is a process which supports individuals in anticipating future care needs and being able to contribute to those decisions. By identifying those more likely to deteriorate, and require healthcare support, they can be empowered by having their preferences recognised. An improved patient experience will provide less moral distress, better communication and more efficient use of resources. However, the interface between palliative care and digital insights has had very limited consideration. Aim: The aim of this study was to explore the feasibility of identifying a cohort where promoting advance care planning is more timely. The existing wealth of digital data provides the opportunity to explore how this can provide such a prompt. Methods: A prevalent cohort study was carried out to ground the relevance of this research focus. The inpatients on a census day were followed for 12 months to identify the likelihood of death. The second aspect was a qualitative phenomenological study using semi-structured interviews as to the perceived feasibility of a prognostication aid. Six interviews took place in person. The in-depth perspectives were then thematically analysed. Results: The quantitative study identified that 19.3% of the cohort population died within six months of the census date. There was an increasing correlation between age and dying within six months. 13.0% of the cohort who were 60-64 years of age died within the following six months (odds ratio 18.41; p<0.0001); compared to 28.4% of the cohort who were 85 years of age or older. (odds ratio 4.79; p<0.0001); Themes that arose from the semi-structured interviews were: i) its utility, ii) uncertainty of prognostication, iii) capacity of clinician, and, iv) ethical considerations. The concept of prognostication to support advance care planning was positively received. Concerns focused on medicine being an art rather than an algorithm and whether clinicians had the time and skills to fulfil the intent of this proposal. There was also a recurrent focus on the topical Assisted Dying Bill. Conclusion: The in-depth perspectives supported the feasibility of a digital prognostication aid to aid the promotion of advance care planning. Further qualitative studies could engage with a larger group, including patients, to appreciate the breadth of opinions. These would be necessary to inform appropriate change management with application of any such prognostication aid

    HR and Candidate Perspectives on AI-driven Recruitment in the UK Hospitality Sector: Benefits, Challenges, and Future Directions

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    This dissertation investigates the perspectives held by HR and hospitality professionals on the use of AI-driven recruitment in the UK hospitality industry. Through the analysis of both empirical research and existing available data, it has been possible to understand further the benefits, challenges, and potential future directions. This research was determined to be necessary due to the increasingly widespread use of AI in recruitment. The need for understanding of its usage in the UK due to the absence of specific legislation as of 2024 makes it a timely and relevant dissertation topic. It has been determined that AI as a concept is only going to continue to evolve, and so it is important to appreciate fair use to mitigate risk. The available data for the UK hospitality industry is limited, and so it was identified that obtaining perspectives from those directly impacted by its use would enhance clarity and enable accurate organisational decision-making during strategic planning. This dissertation was structured with a positivist approach in order to gain organic perspectives that were not influenced by any personal thoughts or opinions of the researcher. The primary research consisted of a 20 question, multiple choice questionnaire that was sent to UK wide HR and hospitality professionals, and Swansea based hospitality academics. The researcher utilised an existing contact list that consisted of trusted professionals that they currently work alongside. The compiled questionnaire was created using Microsoft Forms and was entirely anonymous. For these reasons, it can be concluded that the research was both valid and reliable in nature. In-built statistical analysis tools, supported by further analysis in Microsoft Excel allowed for the researcher to test hypotheses and understand objectives. These online platforms also enabled the researcher to successfully meet time and financial constraints associated with data collection. The findings have been presented in the form of graphs, charts and cross-tabulation tables, along with written analysis and synthesis. It was of great importance to analyse current available literature in order to understand how the gathered perspectives from the primary research could complement and contribute to the existing data. The researcher placed value on understanding the concept and history of AI in general, the current usage of AI in hospitality, AI-driven recruitment in general, and more specifically in the hospitality sector. The literature review discovered that the current data is rather limited and is particularly brief in regard to AI in recruitment in UK hospitality specifically. This further cemented the need for perspectives from those directly impacted by its use, and thus highlighted the value that the primary research would bring to both academia and industry. Prior to the release of the survey the researcher identified specific hypotheses that would be tested. The first prediction was that candidates would show more resistance than HR professionals due to fears of fair use. The second prediction was that age would influence perspectives, with it expected that the older age brackets would show heightened resistance due to the likelihood that they have experienced less sophisticated technology overall compared to the younger population. The final prediction was that the country of origin of respondents would influence answers with patterns of similar responses expected from the data collected. The primary research determined that the first two hypotheses were unproven, whilst the third remained underdetermined, and in need of further research. The survey was sent to potential participants UK wide currently working in a range of hospitality positions. These included HR representatives, management hospitality employees, non-management hospitality employees and hospitality academics. This was a deliberate choice to enable clear perspectives from a range of HR professionals and candidates. The potential respondents were encouraged to share the survey link with any contacts they felt would be relevant to increase the overall sample size. This decision was taken to encourage a larger response rate due to the lack of existing data currently available. The aim was for 80-100 participants in total, with the result of 80 questionnaire responses gained overall. A larger number of responses would have been preferrable; however, trends and conclusions have been identified, and a concrete basis for future research and industry recommendations has been made. The findings of this dissertation outlined an overriding demand for transparency of use, and clear concerns regarding ethics and potential bias of automated algorithms. There was also a clear trend of respondents suggesting that the loss of human interaction is in direct conflict with the core values of the hospitality industry. However, the expectation that the older population would be more resistant to the concept was unfounded, as was the assumption that candidates would be more resistant to AI in recruitment due to fears of misuse. Instead, the primary research showed that it is HR professionals that exercise the most caution. It has been noted that this could be due to preoccupations regarding job security. The primary research has reinforced the findings of the literature review and identified recommendations for future study and industry. It has been acknowledged that when the responses were separated into subcategories the number of responses therein were rather small, which presented difficulty when attempting to determine hypotheses outcomes. For example, only 14 respondents selected rest of the world as their country of origin, which presented challenges when attempting to identify patterns of answering based on where respondents were born. The researcher has therefore made recommendations that include a larger number of respondents, and a mixed methods approach that was not possible for this dissertation due to time constraints. The reason for this is that the optional open questions within the quantitative questionnaire provided insightful information that deepen perspective. A focus group or interviews would enhance this further. For industry, the primary research and literature review synthesis has enabled the recommendation to communicate use of AI to potential candidates. This will assist with mitigating fears which was an overriding concern that was evident throughout the primary research responses. Overall, this dissertation has discovered that there is an increased trust in AI-driven recruitment, and far less resistance than had been anticipated. This is reassuring as it is a concept that will only continue to become more widespread as the evolution continues. The need for clear communication, regular testing for accuracy, and a clear understanding of potential ethical pitfalls is crucial for successful implementation

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    University of Wales Trinity Saint David is based in United Kingdom
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