AI in web-based solutions

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master_Prazáková_Julie_2025.pdf (1.23 MB)

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School of Science | Master's thesis
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Date

2025-09-20

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Major/Subject

Computer Science

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Degree programme

Master's Programme in Computer, Communication and Information Sciences

Language

en

Pages

99

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Abstract

Artificial intelligence is increasingly integrated into corporate environments, yet adoption processes remain fragmented and context dependent. While prior research has emphasized readiness factors, less is known about how large international corporations adopt AI, evaluate valuable use cases, and adapt their readiness over time. This thesis explores these questions through semi-structured interviews with professionals from multinational corporations across sectors. Using the Gioia methodology, themes were inductively identified and connected to existing theory. The findings reveal three maturity levels: Foundational Adopters, Operational Implementers, and Strategic Leaders. They highlight key drivers such as efficiency gains, data security, and strategic alignment, alongside barriers including data quality, financing, and employee resistance. Training and reskilling emerged as decisive factors for successful adoption. The study contributes a grounded model of AI adoption that combines technological, organizational, and human dimensions, offering insights and guidance for researchers and practitioners seeking sustainable integration strategies.

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Supervisor

Vuorimaa, Petri

Keywords

artificial intelligence, web, corporate, use case, organizational readiness, adoption strategy

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https://urn.fi/URN:NBN:fi:aalto-202510218422

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[dipl] Perustieteiden korkeakoulu / SCI