Capabilities for delivering AI-driven augmented analytics solutions in an open innovation context: a TIM Enterprise case study

Putri, Fransiska Roseline Setiawan (A.A. 2023/2024) Capabilities for delivering AI-driven augmented analytics solutions in an open innovation context: a TIM Enterprise case study. Tesi di Laurea in Qualitative methods for management, Luiss Guido Carli, relatore Niloofar Kazemargii, pp. 79. [Master's Degree Thesis]

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Abstract/Index

Literature review. Digital technologies. Knowledge based view (KBV) theory. Contemporary knowledge based view. Research method. Research context. Research design. Research gap. Data collection. Data analysis methodology. Findings and analysis. Dimension 1: identifying the right solution and partner. Dimension 2: developing joint GTM strategy and recognizing clients’ unique needs. Dimension 3: customizing support packages & preparing the client-facing personnels. Dimension 4: consultancy approach: financial impact, POC and initial assessment. Dimension 5: ensuring seamless integration. Discussion. Key resources and their contributions. The role of knowledge in the partnership. The four key capabilities.

References

Bibliografia: pp. 57-67.

Thesis Type: Master's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Master's Degree Programs > Master's Degree Program in Strategic Management Digital (LM-77)
Chair: Qualitative methods for management
Thesis Supervisor: Kazemargii, Niloofar
Thesis Co-Supervisor: McCarthy, Ian Paul
Academic Year: 2023/2024
Session: Extraordinary
Deposited by: Alessandro Perfetti
Date Deposited: 14 Jul 2025 12:23
Last Modified: 14 Jul 2025 12:23
URI: https://tesi.luiss.it/id/eprint/42907

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