Facilitating AI Implementation A Framework for Implementing Generative AI and AI Agents at Manufacturing Small and Medium-sized Enterprises in the Gothenburg Region
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Publicerad
Författare
Typ
Examensarbete för masterexamen
Master's Thesis
Master's Thesis
Modellbyggare
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Volymtitel
Utgivare
Sammanfattning
The rapid advancement of generative AI (GenAI) and AI agents presents significant
strategic opportunities within the industrial sector, yet small and medium-sized en-
terprises (SMEs) frequently struggle to navigate the socio-technical complexities of
technology implementation. This study aims to develop a conceptual framework tai-
lored to management teams within manufacturing SMEs in the Gothenburg region,
facilitating their transition from traditional workflows to AI-augmented operations.
Utilising a qualitative multi-method research design, a systematic literature review
of 15 academic papers was conducted to examine the drivers and barriers of SME
technology adoption, complemented by local empirical insights gathered from eight
semi-structured interviews involving 14 participants across various operational roles.
Through an iterative development process, the theoretical and empirical findings
were synthesised inductively through thematic analysis and subsequently deduc-
tively mapped using the Technology-Organisation-Environment-Individual (TOEI)
framework.
The study identifies 15 distinct Influencing Factors shaping implementation, culmi-
nating in the development of the AKSEA Framework. To facilitate local utilisation,
the framework was created in Swedish and is structured around five core Priority
Areas: Ansvar (Responsibility), Kompetens (Competence), Strategi (Strategy), En-
gagemang (Engagement), and AI-policy (AI Policy). The empirical findings reveal
that local SMEs exhibit significant variations in digital maturity, necessitating a
non-sequential, flexible architecture for the AKSEA Framework. Rather than en-
forcing a rigid roadmap, it functions as a dynamic decision-support tool. Ultimately,
this study concludes that successful GenAI and AI agent implementation within
manufacturing SMEs requires a shift from general models toward context-specific,
adaptable guidance, thereby enabling management to formulate tailored strategies
aligned with their unique organisational readiness.
Beskrivning
Ämne/nyckelord
Generative AI, AI Agents, Manufacturing SMEs, Technology Implemen- tation, Change Management, Organisational Learning, Framework, TOEI, Gothen- burg.
