Bradford Scholars

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Recent Submissions

  • Publication
    Key factors influencing the success of industrial companies in Libya
    Tarbaghia, Tarek M.S.; Betts, James
    This study is concerned with the relationship between the skills and strategies employed by Libyan companies and their performance. An extensive survey of two hundred private and public sector Libyan companies was carried out. The response rate of the companies was one hundred per cent. The general nature of the questionnaire used meant that not all the questions asked were applicable to all companies. The data collected has been extensively analysed using the Statistics Package for Social Scientists (SPSS). With this package data missing from any particular question is treated as though the questionnaire is incomplete and all data from such a company is consequently disregarded by the software. The "missing data" reduced the number of valid questionnaires from two hundred to ninety three of these fifty one were from the private sector and forty two from the public sector. The questionnaire covered some one hundred and fifty topics, when questions together with subsections are taken into consideration. The most appropriate method of identifying differences in the behaviour of the two sectors is by the use of Multiple Discriminant Analysis (MDA). An MDA programme is available on SPSS. The output of this analysis led to the identification of seven dimensions in which the two sectors displayed significantly different behaviour. These seven dimensions are reported and analysed in a univariate manner. The study then goes on to suggest reasons why the two sectors behave differently in regard to these seven dimensions. Successful companies whether in the private or public sector are also identified using MDA The discriminant function in this case also contained seven variables. These seven dimension are also analysed in a univariate manner. This study describes the history of Libyan Industry and the current melieu in which Libyan Companies operate. It gives an explanation of MDA and then discusses the outcome of the multivariate analysis of the data collected.
  • Publication
    Pathological Bodies. Specimen Preservation, Death and Display in Britain, 18-19th Centuries.
    Sutton-Butler, Aoife A.; Croucher, Karina; Koon, Hannah; Janaway, Robert C.
    Across Britain, many institutions are custodians of historical anatomical and pathological potted specimen collections dating back to the 18-19th centuries. Amongst these collections are those which have been preserved in fluid, often referred to as potted specimens. These collections were created at a time when anatomical study was on the rise in Britain, with potted specimens often considered the most valuable to the anatomist. The human remains obtained for these collections was often dictated by socioeconomic status, meaning body snatching and using unclaimed bodies from institutions such as workhouses was done to meet the demand of bodies for study. Fluid preserved specimens require a unique skill set to conserve, differ hugely in appearance to other historical and archaeological bodies, and are still on display in museums today. Using a mixed methods interdisciplinary approach, this thesis aims to further understand the acquisition and conservation of these specimens as well as understand the development in public/professional attitudes towards these remains that were collected in a time of ‘pre consent’ culture. Relatively recently, it has been alluded to that these collections are no longer relevant in the field of medicine due to the availability of modern donors. However, this thesis has demonstrated the importance of these collections in contemporary teaching and research of pathology, epidemiology and medical ethics. This research also suggests that they are significant in opening up conversations on death and dying, contemporary disease, familial health, and the display of the human body.
  • Publication
    Dynamic connectedness between AI, green finance, and energy assets: Risk transmission and portfolio implications during net-zero transition period
    (Elsevier, 2026-02-09) Ijaz, S.; Hina, Syeda M.; Ullah, A.R.; Akbar, Saeed
    The integration of artificial intelligence with green finance is rapidly increasing. It gains more importance against the backdrop of achieving a low-carbon future in the fast-changing global economy. In this context, this paper exploits daily prices between January 2018 and August 2024 to assess the opportunities associated with AI-augmented assets and green finance, and how AI assets can change the portfolio diversification and risk-management strategies. Through a market spillover framework, during crisis episodes, the findings indicate that AI and green-energy indices are transmitters of return spillovers. Green bonds and dirty energy indices, on the other hand, are net absorbers of the shock, which indicates their passive behavior. Besides, portfolio analysis shows that AI-based and clean-energy investments are beneficial to manage portfolios and provide significant hedging performance. Other assets like green bonds and equity securities demonstrate negative hedging effectiveness, which indicates a high exposure to risk. These findings highlight the invaluable nature of AI and clean-energy assets in driving market connections and providing robust risk management. The conclusions made in this study provide policymakers and investors with a key insight that is vital to adjust their investments amid fast-changing landscape of AI and green finance.
  • Publication
    Influencing subjective well-being for business and sustainable development using big data and predictive regression analysis
    (2020) Weerakkody, Vishanth; Sivarajah, Uthayasankar; Mahroof, Kamran; Maruyama, Takao; Lu, Shan
    Business leaders and policymakers within service economies are placing greater emphasis on well-being, given the role of workers in such settings. Whilst people’s well-being can lead to economic growth, it can also have the opposite effect if overlooked. Therefore, enhancing subjective well-being (SWB) is pertinent for all organisations for the sustainable development of an economy. While health conditions were previously deemed the most reliable predictors, the availability of data on people’s personal lifestyles now offers a new dimension into well-being for organisations. Using open data available from the national Annual Population Survey in the UK, which measures SWB, this research uncovered that among several independent variables to predict varying levels of people's perceived well-being, long-term health conditions, one's marital status, and age played a key role in SWB. The proposed model provides the key indicators of measuring SWB for organisations using big data.
  • Publication
    Development of a Dignity Experience Scale in Mental Healthcare. Co-creating Empirical Measures with Service Users and Healthcare Professionals
    Brooks, Claire A.; Hou, Jiachen; Breen, Liz; Maruyama, Takao
    Dignity is enshrined in statute, healthcare professional (HCP) ethics and policy, yet worldwide, mental healthcare violates service user dignity. Dignity lacks empirical definition as an operational concept. The aim of this study is to operationalize dignity in mental healthcare service user experience, to inform service design and delivery. This thesis addresses concepts of dignity within a theoretical framework of service experience and proposes a new paradigm for understanding dignity which emphasizes the dynamic co-production of dignity experiences. It proposes a consensus model for the mechanisms of dignity co-production and the first Dignity Experience Scale found in mental healthcare, co-created with service users (SUs) and HCPs. The study uses a sequential mixed methods approach to knowledge co-creation which privileges SU perspectives, comprising: 1. a literature meta-synthesis to specify an initial scale; 2. 17 experiential narratives to develop the scale and a Delphi panel of 11 HCPs to refine it; 3. quantitative research with 160 SUs and HCPs to test the scale; 4. Exploratory Factor Analysis (EFA) to identify latent factors. Study findings show the importance of dignity co-production in rights-based, person-centred, recovery-oriented mental healthcare across 3 domains: Relationships, Environment and Confidentiality. EFA proposes an internally consistent 25-item, 5-factor scale. The primary factor, Empowering Empathy, emphasizes collaborative therapeutic relationships in which SUs are met with understanding and empowered with information and choice for recovery beyond symptom reduction. Other factors emphasize Respect for Equal Humanity, No Informal Coercion and creating Safe Space for Difference within relationships; and developing Comfortable, Confidential Environments.