Corporate Data Valuation: Designing Asset Management Frameworks for the AI-Native Firm
Franklin Hudson - The International School of Management
Not stated
- Location
- Paris, France, France
- Funding
- Self-Funded PhD Students Only
- Application deadline
- Year-round applications
About the project
About the Project Organizations often describe data as a strategic asset, yet many struggle to measure its actual value, prioritize data investments, or connect data resources to business performance. This DBA research opportunity focuses on the design of valuation frameworks for corporate data in AI-enabled organizations. Possible research directions include data asset valuation, AI economics, intangible assets, data governance, analytics return on investment, data monetization, and the relationship between data quality and strategic value creation. This opportunity is particularly relevant for experienced professionals in SaaS, industrial IoT, e-commerce, analytics, finance, consulting, digital transformation, or corporate strategy. Candidates may design a data asset ledger, data valuation model, or executive decision tool for prioritizing data-related investments. The expected contribution is a practical artefact that helps organizations distinguish high-value data assets from low-impact data accumulation and connect data strategy to measurable business outcomes. Tuition and scholarships This is a self-funded doctoral research opportunity. The total tuition fee for the Franklin Hudson DBA program is €62,600 . Partial merit-based scholarships may be awarded to strong candidates, up to 30% maximum of tuition. Payment plans are available. Enquiries https://franklinhudson.ism.edu/contact-us info@franklinhudson.ism.edu