My proposed doctoral research examines why some SMEs turn generative AI into lasting business value while others remain at the experimentation stage. The central argument is that technology access alone is not enough: leadership, readiness, learning and innovation capability shape the outcome.
Academic & Research Profile
Research with operational relevance.
My research connects AI adoption, organisational capability and sustainable business value, with a particular focus on UK SMEs.
MBA International BusinessDistinction
BSc (Hons) Cloud ComputingFirst Class Honours
ORCID0009-0001-7481-2613
01 — Current research direction
Beyond AI Adoption
02 — Research Interests
Connected areas of enquiry.
AI Adoption
How organisations move from experimentation to dependable use.
Organisational Capability
Leadership, readiness, learning and innovation as drivers of value.
UK SMEs
Practical adoption conditions within resource-constrained firms.
Digital Transformation
How technology becomes embedded in everyday operations.
03 — Academic Profiles
Verified academic identity.
Simple, verified routes to my researcher identity and professional profiles.
ORCID
0009-0001-7481-2613
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Research and citation profile
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Executive and research portfolio
Open portfolio →04 — Academic Documents
Documents for the right audience.
Focused documents for supervisors, admissions teams and research collaborators.
Academic CV
Research-focused experience, education and professional background.
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Research Proposal
Current proposal on AI-enabled value creation in UK SMEs.
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MBA Dissertation
Nearshore IT support model — MBA Distinction.
View summary →Cloud Dissertation
Cloud Computing research — First Class Honours.
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