Welcome 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
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Mental illness and recovery: an interpretative phenomenological analysis of the experiences of Black African service users in England(SAGE, 2019-03-05)Background Research conceptualising recovery is predominantly Eurocentric. This paper develops the conceptualisation of recovery by Black African service users. Aims Our aim was to explore Black African service users’ experiences of recovery from mental illness and to understand how they conceptualise recovery. Methods Using a qualitative research approach and interpretative phenomenological analysis (IPA), semi-structured interviews were conducted with 12 Black African service users recovering from mental illness in England. Results Participants conceptualised recovery as a pragmatic and subjective concept distributed across a continuum of clinical, functional and spiritual dimensions, resilience, identity and their social and cultural backgrounds. Conclusions It seems critical for all stakeholders to ensure that these components are embedded in recovery-oriented services for Black African service users.
Well-making: co-building pathways for empathy(AHRC, 2018-04-14)This one day interactive workshop at the Wellcome Collection in London 2017 explored new research on inclusive design and empathy with a particular focus on how maker spaces might be better understood as ‘well-making spaces’: spaces of empathy that promote health and wellbeing. The event included a keynote by Professor Lizbeth Goodman, Chair of Creative Technology Innovation at University College Dublin, founder/director of the SMARTlab and MAGIC (Multimedia and Games Innovation Centre) about her international research and current European Horizon 2020 project. Other participants included, among others: Simon Duncan (Boing Boing: Resilience Research and Practice), Dr Anni Raw (School of Applied Social Sciences, University of Durham), Mah Rana (Artist and research student University College London), Jayne Howard (Director Arts Well) and Karl Royale (Head of Enterprise and Commercial Development University of Wolverhampton), Ben Salter (Course Leader Interior Design Norwich University of the Arts), a diverse interdisciplinary group of designers and design researchers, arts and crafts practitioners, social scientists, arts for health organisations, community partners, and health researchers
Particularistic and system trust in family businesses: the role of family influence(Wiley, 2019-04-14)Research on how trust develops and why it matters in family businesses is in development. Our study investigates the emergence and the evolution of trust in family business leaders. Drawing on the New Systems Theory, we also examine the impact of family influence on trust. Multiple semi‐structured interviews were performed in three Chinese family businesses. Results suggest that relationship‐based particularistic trust prevails at the start‐up stage because of the void of governance mechanisms. As businesses grow, particularistic trust gradually gives way to institution‐based system trust. Evidence further indicates high family influence catalyzes particularistic trust initially and restricts system trust subsequently.
Federated blockchain-based tracking and liability attribution framework for employees and cyber-physical objects in a smart workplace(IEEE, 2019-04-11)The systematic integration of the Internet of Things (IoT) and Cyber-Physical Systems (CPS) into the supply chain to increase operational efficiency and quality has also introduced new complexities to the threat landscape. The myriad of sensors could increase data collection capabilities for businesses to facilitate process automation aided by Artificial Intelligence (AI) but without adopting an appropriate Security-by-Design framework, threat detection and response are destined to fail. The emerging concept of Smart Workplace incorporates many CPS (e.g. Robots and Drones) to execute tasks alongside Employees both of which can be exploited as Insider Threats. We introduce and discuss forensic-readiness, liability attribution and the ability to track moving Smart SPS Objects to support modern Digital Forensics and Incident Response (DFIR) within a defence-in-depth strategy. We present a framework to facilitate the tracking of object behaviour within Smart Controlled Business Environments (SCBE) to support resilience by enabling proactive insider threat detection. Several components of the framework were piloted in a company to discuss a real-life case study and demonstrate anomaly detection and the emerging of behavioural patterns according to objects' movement with relation to their job role, workspace position and nearest entry or exit. The empirical data was collected from a Bluetooth-based Proximity Monitoring Solution. Furthermore, a key strength of the framework is a federated Blockchain (BC) model to achieve forensic-readiness by establishing a digital Chain-of-Custody (CoC) and a collaborative environment for CPS to qualify as Digital Witnesses (DW) to support post-incident investigations.
AdPExT: designing a tool to assess information gleaned from browsers by online advertising platforms(IEEE, 2019-04-11)The world of online advertising is directly dependent on data collection of the online browsing habits of individuals to enable effective advertisement targeting and retargeting. However, these data collection practices can cause leakage of private data belonging to website visitors (end-users) without their knowledge. The growing privacy concern of end-users is amplified by a lack of trust and understanding of what and how advertisement trackers are collecting and using their data. This paper presents an investigation to restore the trust or validate the concerns. We aim to facilitate the assessment of the actual end-user related data being collected by advertising platforms (APs) by means of a critical discussion but also the development of a new tool, AdPExT (Advertising Parameter Extraction Tool), which can be used to extract third-party parameter key-value pairs at an individual key-value level. Furthermore, we conduct a survey covering mostly United Kingdom-based frequent internet users to gather the perceived sensitivity sentiment for various representative tracking parameters. End-users have a definite concern with regards to advertisement tracking of sensitive data by global dominating platforms such as Facebook and Google.