Chandrasekararao Seepana
Lecturer in Digital Business and Analytics · University of Bristol · University of Bristol
Quick answer: Chandrasekararao Seepana is Lecturer in Digital Business and Analytics at University of Bristol. Chandrasekararao Seepana shows an active PhD hiring signal as of 2026-09-11.
⭐ I would be pleased to supervise and work with applicants who demonstrate strong academic preparation and a clear research focus in the above areas. A solid foundation in quantitative methods, including the application of statistical and analytical tools, is essential. Please feel free to get in touch if you have a strong proposal and would like to discuss it further.
Research interests
Co-opetition
Emerging technologies (e.g., Blockchain) for operations and supply chain management
PhD Supervision
I would be pleased to supervise and work with applicants who demonstrate strong academic preparation and a clear research focus in the above areas. A solid foundation in quantitative methods, including the application of statistical and analytical tools, is essential. Please feel free to get in touch if you have a strong proposal and would like to discuss it further.
Selected publications (since 2023)
[2026] Bridging knowledge capability gaps
[2025] Advancing Social Sustainability with Blockchain
[2025] Leveraging Coopetition for Ambidextrous Innovation
[2025] Environmental uncertainties and reciprocal investments within coopetition
[2025] Navigating sociopolitical waters
Frequently asked questions
Is Chandrasekararao Seepana hiring PhD students at University of Bristol?
Yes. As of 2026-09-11, Chandrasekararao Seepana's faculty page shows a PhD hiring signal: I would be pleased to supervise and work with applicants who demonstrate strong academic preparation and a clear research focus in the above areas. A solid foundation in quantitative methods, includin.
What does Chandrasekararao Seepana research?
Co-opetition
Emerging technologies (e.g., Blockchain) for operations and supply chain management
PhD Supervision
I would be pleased to supervise and work with applicants who demonstrate strong academic preparation and a clear research focus in the above areas. A solid foundation in quantitative
Data last updated: 2026-09-11 · Source: phd-match.com faculty database.
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