Publisher
source

Mehdi Safavi

Just added

1 days ago

PhD Studentship: AI-mediated Strategizing – How Generative AI Reshapes Organizational Sensemaking and Strategic Decision-making Cranfield University in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

December 31, 2026
Country flag

Country

United Kingdom

University

Cranfield University

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Apply for this position

Continue to application

Keywords

Computer Science
Decision Making
Business
Management
Governance
Accountability
Strategic management

About this position

[Full tuition fees and an annual bursary of £20,780 (tax free) for three years for Home or Overseas students.]

This fully funded PhD studentship at Cranfield University offers an exciting opportunity to investigate how generative AI is reshaping strategic decision-making, organizational sensemaking, and accountability in modern organizations. Sponsored by Cranfield School of Management, the project is designed for ambitious scholars interested in AI governance, human–AI decision-making, and organizational strategy. The research will explore how AI-mediated strategizing transforms the framing, justification, and execution of strategic issues, addressing urgent challenges of judgement, defensibility, and responsibility as organizations increasingly rely on AI-generated logic and insights.

The project is situated within strategic management and organization studies, particularly the strategy-as-practice and process-based research traditions, and engages closely with AI governance and algorithmic organising. It examines how generative AI is transforming core managerial activities, especially strategic decision-making, sensemaking, and accountability, by reshaping how issues are framed, evidence is constructed, and authority is exercised. This research is highly relevant for modern business and management, especially as organizations embed AI into high-stakes decisions. Understanding how to maintain judgement quality, transparency, and responsible governance is critical, particularly in highly regulated and uncertainty-intensive sectors, as well as in organizations operating under intense public and stakeholder scrutiny.

The project aims to develop a process model of AI-mediated strategizing that explains shifts in sensemaking, accountability, human–AI collaboration, and the quality and defensibility of strategic decisions. It will also generate practical insights and tools to improve AI-enabled decision-making in organizations. Key research questions include how AI outputs enter decision processes, how they become accepted or contested as evidence, and how responsibility is negotiated when AI materially influences strategic choices.

Funding for this studentship includes full programme fees and an annual bursary of £20,780 (tax free) for three years, available to both Home and Overseas students. Applicants should have a first- or second-class UK honours degree, or equivalent, in a related discipline. A research background in strategy, organisation studies, AI, or a related field is particularly welcome. The position is open to Home and Overseas candidates.

To apply, complete the online application form at the provided link. After submission, admissions will contact you to request a research proposal. For further information, contact Dr Mehdi Safavi at [email protected].

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

Official Email

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?

Professors