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AI Implementation Capability Assessment and Development Planning: Towards a Tool for SMEs

Publiceringsår

2025

Upphovspersoner

Kudryavtsev, Dmitry; Moilanen, Teemu; Laatikainen, Elisa; Khan, Umair Ali

Abstrakt

Small and medium-sized enterprises (SMEs) lag behind in AI adoption and require support to assess and enhance their AI implementation capabilities. Such support is often provided via advisory sessions, but there is a potential to automate these tasks partially. Needs analysis identified the following key requirements for the supporting tool: 1. Ability to suggest and select improvement actions (prescriptive functionality) in addition to the assessment of current state (descriptive functionality); 2. SMEs-focus, which is mostly reflected in the selection of maturity assessment indicators and emphasis on low maturity levels; 3. Completeness justification of AI implementation capability assessment. The existing AI maturity models do not satisfy all these requirements, so there is a need to develop a new tool. The paper presents an ongoing research project aiming to create an AI implementation capability development planning tool for SMEs (AICapDev). This tool will include a prescriptive maturity model for AI implementation capability and roadmap drafting component to prioritise and plan improvement action. The current paper presents the preliminary research results, more specifically problem definition and requirements specification, description of the AICapDev tool and its usage demonstration. The future work presented in the conclusion.
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Organisationer och upphovspersoner

Haaga-Helia ammattikorkeakoulu

Laatikainen Elisa

Moilanen Teemu

Kudryavtsev Dmitry Orcid -palvelun logo

Khan Umair Orcid -palvelun logo

Publikationstyp

Publikationsform

Artikel

Moderpublikationens typ

Konferens

Artikelstyp

Annan artikel

Målgrupp

Vetenskaplig

Kollegialt utvärderad

Kollegialt utvärderad

UKM:s publikationstyp

A4 Artikel i en konferenspublikation

Öppen tillgång

Öppen tillgänglighet i förläggarens tjänst

Nej

Parallellsparad

Nej

Övriga uppgifter

Vetenskapsområden

Data- och informationsvetenskap

Nyckelord

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Publiceringsland

Förenta staterna (USA)

Förlagets internationalitet

Internationell

Språk

engelska

Internationell sampublikation

Nej

Sampublikation med ett företag

Nej

DOI

10.1109/sami63904.2025.10883262

Publikationen ingår i undervisnings- och kulturministeriets datainsamling

Ja