Aishatu Mohammed
Faculty of Social Science, Humanities and the Arts for People and the Economy (BN)
Maxwell Building, 43 Crescent, Salford M5 4WT
Biography
Dr Aishatu Mohammed Lawan is a Lecturer in Business Information Technology at the University of Salford, UK, with over ten years of experience in teaching, research, and academic leadership across the UK and Nigeria. She holds a PhD in Business and Management from the University of Salford and an MSc in ICTs for Development from the University of Manchester. She is a two-time recipient of the competitive Petroleum Technology Development Fund (PTDF) Overseas Scholarship, awarded in 2016 for her Master's degree and in 2023 for her doctoral studies.
Her research interests centre on Artificial Intelligence (AI), digital transformation, information systems, and responsible innovation, with particular expertise in AI adoption and its implications for organisations and society. Her work examines the sociotechnical factors shaping the adoption and integration of emerging technologies, including organisational readiness, digital inclusion, and responsible AI practices. Her doctoral research explores how small and medium-sized enterprises (SMEs) can benefit from AI while addressing existing digital inequalities, particularly in emerging economies.
At the University of Salford, Aishatu teaches across undergraduate, postgraduate, and apprenticeship programmes, covering AI, innovation management, responsible technologies, and business information systems. She contributes to module leadership, curriculum development, assessment design, and dissertation supervision. She also co-led the design and development of the University's AI and Automation Practitioner Degree Apprenticeship programme, aligning the curriculum with occupational Knowledge, Skills and Behaviours (KSBs), and presenting and defending the programme before the University's Programme Validation Panel (PVP).
Aishatu serves as a Board Member and Mentorship Lead of the UK Academy for Information Systems (UKAIS), supporting academic mentorship, research collaboration, and the development of emerging scholars. She is also an Associate Fellow of the Higher Education Academy (AFHEA) and contributes to academic governance and research development.
Her research and knowledge exchange activities include academic publications, international conference presentations, and organising an ESRC Digital Good Network-funded AI Awareness Workshop in Nigeria, engaging approximately 130 SMEs, policymakers, and academics. She is also a co-founder of AI BridgeTech Limited, connecting academic research with practical approaches to AI adoption and digital transformation.
Her work reflects a commitment to advancing responsible AI, supporting organisational innovation, and ensuring that emerging technologies create meaningful opportunities for businesses and society.
Areas of Research
Artificial Intelligence (AI) Adoption and Integration
AI and Digital Transformation
Responsible AI and AI Governance
Information Systems and Emerging Technologies
Technology-Driven Innovation and Organisational Change
Sociotechnical Systems and Organisational AI Readiness
Digital Inclusion and the AI Divide
AI Adoption among SMEs and in Emerging Economies
I have over ten years of teaching experience across undergraduate, postgraduate, and degree apprenticeship programmes in the UK and Nigeria. My teaching spans Artificial Intelligence (AI), digital transformation, information systems, innovation management, cybersecurity, and responsible technologies.
At the University of Salford, I have taught and contributed to a wide range of modules, including Principles of AI, Managing Innovation and Creativity, Managing Operations in the Digital Environment, Business Applications and AI Tools, Cyber Security and Information Management, AI Governance and Sustainability, Data Management Fundamentals, Responsible Technologies, Operations and Information Management, Management Decision-Making, and Innovative Problem Solving. My teaching experience also includes entrepreneurship development and business information systems at undergraduate level.
Beyond classroom teaching, I have supervised over 40 MSc dissertations, supporting students throughout the research process, from developing research proposals and selecting appropriate methodologies to analysing findings and completing their dissertations. I contribute to module leadership, curriculum development, assessment design, marking, and academic supervision.
I also co-led the design and development of the University of Salford's AI and Automation Practitioner Degree Apprenticeship programme, aligning the curriculum with occupational Knowledge, Skills and Behaviours (KSBs). As part of this responsibility, I participated in presenting and defending the programme before the University's Programme Validation Panel (PVP).
My teaching approach emphasises active learning, critical thinking, practical case studies, and the application of academic knowledge to real-world organisational challenges. I am committed to creating an inclusive and engaging learning environment that equips students with the knowledge, confidence, and practical skills needed to respond to emerging technologies and changing professional demands.
Qualifications
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Business & Management
2023 - 2026 -
ICTs for Development
2016 - 2017 -
BTech Management Information Technology
2006 - 2012