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 |
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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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