The proposed study explores how leadership, workforce readiness, governance, digital maturity, organisational learning and implementation practices interact during AI adoption.
My proposed research examines how small and medium-sized enterprises develop the organisational capabilities needed to adopt artificial intelligence responsibly, integrate it into everyday decision-making, and translate technological investment into sustainable business value.
Research interests: responsible AI adoption, organisational capability, digital transformation, SME innovation, leadership, employee readiness, governance, and the relationship between technology implementation and long-term organisational performance.
I am a UK Civil Servant based in London, with more than 20 years of professional experience across public service, operational delivery, community projects, safety, logistics and frontline decision-making. This experience has shaped my interest in how organisations respond to change, how people adopt new systems, and why some technologies produce lasting value while others do not.
I hold an MBA in International Business with Distinction and a First Class BSc in Cloud Computing from the University of Wales Trinity Saint David. My academic background allows me to approach artificial intelligence not only as a technical tool, but as an organisational, managerial and strategic challenge.
My doctoral direction focuses on the conditions that enable responsible and effective AI adoption in SMEs. I am particularly interested in leadership, employee readiness, digital capability, governance, organisational learning and the conversion of AI investment into measurable and sustainable value. I aim to pursue this work within a business and enterprise research environment, with a strong applied and real-world orientation.
• Proposed field: Business and Management Research
• Core topic: Responsible AI adoption in SMEs
• Perspective: Organisational capability and sustainable value creation
• Approach: Applied, interdisciplinary and practice-informed
• Intended outcome: A practical framework for organisational AI readiness and value realisation
• MBA International Business – Distinction, UWTSD London
• BSc Cloud Computing – First Class, UWTSD London
• IOSH Managing Safely
• Paramedic qualification, Hungary
• ECDL Computing
• BCS registered member
My proposed PhD research investigates why access to artificial intelligence alone does not guarantee organisational improvement. The study focuses on the internal capabilities, management practices and human factors that allow SMEs to integrate AI responsibly and convert it into sustainable value.
The proposed study explores how leadership, workforce readiness, governance, digital maturity, organisational learning and implementation practices interact during AI adoption.
Many organisations can access AI tools, but lack the structures, skills and processes needed to use them effectively. The research shifts attention from the technology itself to the organisation that adopts, governs and embeds it.
The intended contribution is a practical framework that helps SMEs assess AI readiness, identify capability gaps, manage adoption responsibly and improve the likelihood of sustainable business outcomes.
A possible design would combine a structured review of the literature, survey-based evidence and qualitative interviews or case studies with SME leaders and employees. The final methodology would be refined with supervisory guidance.
The topic aligns with research into enterprise, innovation, digital transformation, responsible management, organisational behaviour and the practical challenges of technology-enabled change.
Selected work demonstrating the development of my research interests across business, technology, digital transformation and socially responsible innovation.
MBA dissertation examining how UK organisations can use nearshore IT support in Central and Eastern Europe. The study developed my interest in organisational capability, international service models, technology-enabled change and sustainable business value.
A mobile app concept designed to support individuals at risk of Violence Against Women, focusing on accessible information, emergency pathways, and privacy. Presented in dissertation, viva and research poster formats.
Undergraduate work exploring how organisations adopt cloud services securely and effectively, including scalability, reliability, migration planning and the organisational implications of digital infrastructure decisions.
A concept brand and operating model for Level 1–3 IT support delivered from Hungary to UK clients. Developed as a structured business proposal with market analysis, service design and financial outline.
Creation of a small real-estate brand with online adverts, visuals, and property descriptions in Hungary. Focus on clear communication and simple digital tools.
Coordinating Community Payback placements, working with host organisations, managing logistics, safety and basic IT/admin support for supervisors and teams.
Leading Community Payback teams on site, ensuring safe and compliant delivery, and working closely with local partners and councils.
Supervising groups on unpaid work projects, supporting behaviour change and maintaining strong relationships with host agencies.
Planning and delivering community projects, monitoring attendance, and supporting safe, structured work environments.
Self-employed taxi driver, responsible for customer service, time management, local route planning and safe transport.
Multiple emergency care roles including paramedic, air ambulance paramedic, emergency room nurse, and team leader in an ambulance call centre.
Completed national military service, developing resilience, discipline and teamwork.
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I welcome contact from potential supervisors, researchers and academic colleagues interested in AI adoption, digital transformation, SMEs, organisational capability and responsible innovation.