AI Dissertation Proposal Competition

Call for Dissertation Proposal Submissions

Guided by our vision of building a better future through business and our mission of developing leaders of character who make a positive difference in the communities where they live, work, and serve, Mays Business School at Texas A&M University is working to produce impactful research and insights that drive progress. With this focus, we recognize the pivotal role that artificial intelligence (AI) will play in the future of business.

AI has emerged as a transformative force, reshaping industries, economies, and societies at an unprecedented pace. The exponential growth of AI technologies offers new opportunities and challenges for businesses worldwide, enabling enhanced decision-making, efficiency, and innovation. As such, AI itself is a critical topic that warrants rigorous study by business researchers to understand its potential impacts. At the same time, AI also represents an important tool that can advance scholarly research across business disciplines. At Mays, we are committed to leveraging AI’s capabilities to produce impactful research that explores AI’s transformative possibilities and informs positive change to build a better future.

To that end, Mays Business School invites doctoral students to submit their dissertation research related to AI across the fields of accounting, finance, information systems and supply chain, management, and marketing for its inaugural “Best Dissertation Proposals in AI Business Research” Competition.

This first-of-its-kind competition will present six awards:

  1. Best Dissertation Proposal in AI and Accounting
  2. Best Dissertation Proposal in AI and Finance
  3. Best Dissertation Proposal in AI and Information Systems
  4. Best Dissertation Proposal in AI and Supply Chain Management
  5. Best Dissertation Proposal in AI and Management
  6. Best Dissertation Proposal in AI and Marketing

The six awardees will be brought together at Mays Business School to present a concise, impactful talk highlighting their pioneering AI research. This will provide an opportunity for the award winners to share their work, connect with faculty and students, and network with one another as emerging leaders in AI business research.

Competition Overview

  • Six total awards will be presented
  • Methodological or empirical dissertations leveraging AI techniques/methods or studying AI’s impacts in the respective business fields will be considered
  • Award winners will visit campus to present their research during the week of September 15th, 2025

Eligibility Criteria

  • Applicants must have defended their dissertation proposal by May 31st, 2025, and maintain enrollment in a doctoral program at an accredited business school through the Fall 2025 semester

Submission Requirements

  • 3,000-word maximum dissertation proposal summary (12 pt. font, 1″ margins) without any identifying student information
  • A separate dissertation abstract (150 words)
  • Student CV
  • Nomination letter from dissertation chair confirming the dissertation proposal has been successfully defended and providing a dissertation completion timeline and anticipated graduation date

Detailed submission instructions will be provided on the competition website.

Evaluation Submissions will be evaluated by a panel of expert faculty judges based on:

  • Theoretical and methodological rigor
  • Potential contribution to the field
  • Innovativeness of the research

Awards

  • $10,000 prize for each award
  • Commemorative award plaque
  • Travel funding to present about their dissertation Mays Business School in Fall 2025
  • Opportunity to network with Mays faculty and PhD students as well as other award recipients

Submission Deadline: May 31st, 2025, by 11:59 PM CDT.

To learn more about the current research at Mays Business School, visit Created At Mays.

Submission Requirements

  • 3,000-word maximum dissertation proposal summary (12 pt. font, 1″ margins) without any identifying student information
  • A separate dissertation abstract (150 words)
  • Student CV
  • Nomination letter from dissertation chair confirming the dissertation proposal has been successfully defended and providing a dissertation completion timeline and anticipated graduation date
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