Postdoctoral Research Fellow · UKRI Funded Project

Dr. Honey
Yadav

Postdoctoral Research Fellow

School of Business · Birmingham City University

UKRI SMART SIP+ Project

As an IIT Delhi PhD, my research bridges AI Capability Management and Explainable AI (XAI) to design robust frameworks for technology policy and impact assessment. I focus on scaling transparent, responsible AI systems that align cutting-edge innovation with organizational strategy and societal governance. Furthermore, my research area focuses on socio-technical modelling of complex systems. I am trained in mixed-method research methods including qualitative and quantitative analysis.

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PhD — IIT Delhi Birmingham City University Responsible AI Research
Dr. Honey Yadav
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Trained
Dr. Honey Yadav
Doctorate
PhD Technology Management
IIT Delhi
About Me

Interdisciplinary Researcher
in AI & Technology

I am a Postdoctoral Research Fellow working on the UKRI-funded SMART SIP+ project at Birmingham City University, where I conduct interdisciplinary research on technology adoption, digital transformation, organisational capability development, and responsible innovation.

I hold a PhD in Technology Management from the Indian Institute of Technology (IIT) Delhi. My doctoral research laid the foundation for my ongoing work at the intersection of organisational technological capability development, emerging technologies, and policy interventions.

My PhD research investigated how small organisations responsibly design, adopt, govern, and scale Artificial Intelligence technology while balancing innovation, business value, ethics, and regulatory compliance. I work with stakeholders across healthcare, finance, energy, and the public sector to build frameworks that make AI adoption both effective and accountable.

Responsible AI AI Governance Technology Management Digital Transformation Organisational Capability Policy Impact
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Expertise

Research Expertise

Six interconnected domains forming a cohesive research programme on the responsible adoption of AI across organisations and policy environments.

Artificial Intelligence

Investigating the design, deployment, and societal implications of AI systems across industries — from healthcare diagnostics to public-sector decision support.

Responsible AI

Developing evaluation criteria and maturity frameworks that help organisations embed fairness, transparency, accountability, and safety into AI systems by design.

AI Governance

Examining regulatory landscapes, corporate governance structures, and international policy frameworks that shape how AI is developed and controlled.

Technology Management

Studying how organisations strategically manage the acquisition, implementation, and value realisation of emerging digital technologies.

Business Analytics

Applying data analytics and machine learning to understand customer behaviour, decision-making, and personalisation at scale — with ethical guardrails.

Digital Transformation

Exploring the organisational, cultural, and strategic dimensions of digital change — including workforce readiness, capability development, and change management.

Featured Research

Core Research Themes

An integrated body of work examining how organisations navigate the governance, capability, and impact dimensions of AI adoption.

Ethics & Policy

Responsible AI

Establishing principled frameworks for trustworthy and inclusive AI that go beyond compliance — embedding ethics, fairness, and accountability at every stage of the AI lifecycle, from data curation through deployment and audit.

Organisational

AI Capability Assessment

Designing diagnostic tools and maturity models that help organisations accurately self-assess their technical, human, and governance readiness to deploy AI responsibly and at scale.

Evaluation

Technology Impact Assessment

Developing rigorous methodologies for measuring the business, social, and environmental impact of technology adoption — helping organisations justify investment and demonstrate value to stakeholders.

Future of Work

Human–AI Collaboration

Investigating how people and AI systems can work together effectively — exploring trust calibration, cognitive load, decision authority, and the workforce implications of augmented intelligence.

Projects

Current Projects

Active research initiatives shaping the responsible AI agenda.

UKRI · SMART SIP+

SMART SIP+ - Identifying Sustainable Business Models

SMART-SIP+' is a £2.6m project that aims to transform the lives of farmers in rural Bangladesh by advancing clean energy and sustainable agriculture led by a team of researchers from Birmingham City University in partnership with Bangladesh Agricultural University and NGOs (Bright Green Energy Foundation , Water & Sanitation for Urban Populations). This project is funded by UK Research and Innovation’s Ayrton Fund which aims to give developing countries access to the latest cutting-edge tech for reducing their emissions and meeting global climate change targets.

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Research Framework

Inclusive AI Assessment Framework

Designing a multi-dimensional assessment/capability development framework to evaluate the responsible AI readiness of organisations in the UK's retail organizations.

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Organisational Research

AI Capability Assessment

Building diagnostic instruments and maturity models to help organisations assess and develop the human, technical, and strategic capabilities required for responsible AI deployment.

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Publications

Featured Publications

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Journal Article · 2025
The digital leap at VIMHANS: securing mental health services for tomorrow
Yadav, H., & Sagar, Mahim
Journal of Information Technology Case and Application Research · 2025
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Journal Article · 2023
Exploring COVID-19 vaccine hesitancy and behavioral themes using social media big-data: a text mining approach
Yadav, H., & Sagar, Mahim
Kybernetes · 2023
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Conference Paper · 2025
Lumiere Business Solutions: The HI and AI Collaborative Intelligence Capability Model
Yadav, H., & Sagar, Mahim
India Management Research Conference (IMRC): IIM Ahmedabad 2025
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Impact

Research Impact

My research contributes to the responsible adoption of Artificial Intelligence across healthcare, energy, finance, telecommunications, retail, and public sector organisations — generating evidence-based insights that bridge academic rigour and real-world policy.

Healthcare Energy Finance Telecommunications Retail Public Sector

Interdisciplinary Research

Combining perspectives from management science, computer science, ethics, and policy studies to address AI governance challenges.

Technology Adoption

Understanding the behavioural, organisational, and strategic factors that determine whether AI adoption succeeds or fails.

AI Governance & Policy

Translating empirical research into actionable governance frameworks and policy recommendations for regulators and practitioners.

Organisational Capability

Building the human skills, structural processes, and cultural foundations that enable organisations to deploy AI responsibly at scale.

Get In Touch

Interested in Collaborating?

I welcome opportunities for interdisciplinary research, grant development, doctoral supervision, industrial collaboration, and international partnerships.

Interdisciplinary Research Grant Development Doctoral Supervision Industry Collaboration International Partnerships
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