Benefits and Importance of Digital Technologies as Digital Maturity Drivers: A Case Study of Finland

This research explores the factors driving digitalization in Finnish SMEs and contributes to the discussion on DigitalMaturity Models (DMMs). It examines how perceived benefits and the importance of digital technologies influence SMEs'digital capabilities. By identifying key motivators and barriers, the study aims to provide practical insights for both academicsand practitioners, bridging the gap between theoretical models and real-world applications. A stratified sample of 1002Finnish SMEs is used. K-means clustering categorizes these companies into three distinct clusters based on their digitalmaturity levels. Logistic regression models predict the likelihood of a company belonging to each cluster, using perceivedbenefits and the importance of digital technologies as predictor variables. This approach systematically analyzes therelationship between these factors and digital maturity, offering a robust framework for understanding digitalization in SMEs.Additional analyses explore interaction effects between predictor variables, providing deeper insights into the dynamics ofdigital transformation. The study yields six logistic regression models with 19 statistically significant coefficients (p<0.05).Results indicate that perceived benefits and the importance of digitalization vary across clusters, highlighting differentmotivators for digital initiatives based on digital maturity levels. SMEs with higher digital maturity perceive greater benefitsand place higher importance on different digital technologies compared to those with lower maturity. These findingsemphasize the need for tailored strategies to support digitalization efforts and reveal significant variations in the adoptionof specific technologies at different stages of digital maturity. The findings guide practitioners and academics in focusing onrelevant technologies and their outcomes concerning SMEs' digital maturity. Targeted interventions and supportmechanisms should address the specific needs of SMEs at various stages of digital maturity. The study contributes to theevolution of DMMs by providing empirical evidence on the factors driving digitalization in SMEs and underscores theimportance of a phased approach to digital transformation. Future research should include cross-country comparisons andlongitudinal studies to enhance the reliability and validity of the results and understand the temporal aspects of digitaltransformation.

Authors

Publication Details

Journal
European Conference on Innovation and Entrepreneurship
Published
2025-09-19
DOI
https://doi.org/10.34190/ecie.20.1.4205
Primary Topic
Information Technology Governance and Strategy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Benefits and Importance of Digital Technologies as Digital Maturity Drivers: A Case Study of Finland

Jaani Väisänen
European Conference on Innovation and Entrepreneurship
Information Technology Governance and Strategy
article

Benefits and Importance of Digital Technologies as Digital Maturity Drivers: A Case Study of Finland

Jaani Väisänen
article en

Abstract

This research explores the factors driving digitalization in Finnish SMEs and contributes to the discussion on DigitalMaturity Models (DMMs). It examines how perceived benefits and the importance of digital technologies influence SMEs'digital capabilities. By identifying key motivators and barriers, the study aims to provide practical insights for both academicsand practitioners, bridging the gap between theoretical models and real-world applications. A stratified sample of 1002Finnish SMEs is used. K-means clustering categorizes these companies into three distinct clusters based on their digitalmaturity levels. Logistic regression models predict the likelihood of a company belonging to each cluster, using perceivedbenefits and the importance of digital technologies as predictor variables. This approach systematically analyzes therelationship between these factors and digital maturity, offering a robust framework for understanding digitalization in SMEs.Additional analyses explore interaction effects between predictor variables, providing deeper insights into the dynamics ofdigital transformation. The study yields six logistic regression models with 19 statistically significant coefficients (p<0.05).Results indicate that perceived benefits and the importance of digitalization vary across clusters, highlighting differentmotivators for digital initiatives based on digital maturity levels. SMEs with higher digital maturity perceive greater benefitsand place higher importance on different digital technologies compared to those with lower maturity. These findingsemphasize the need for tailored strategies to support digitalization efforts and reveal significant variations in the adoptionof specific technologies at different stages of digital maturity. The findings guide practitioners and academics in focusing onrelevant technologies and their outcomes concerning SMEs' digital maturity. Targeted interventions and supportmechanisms should address the specific needs of SMEs at various stages of digital maturity. The study contributes to theevolution of DMMs by providing empirical evidence on the factors driving digitalization in SMEs and underscores theimportance of a phased approach to digital transformation. Future research should include cross-country comparisons andlongitudinal studies to enhance the reliability and validity of the results and understand the temporal aspects of digitaltransformation.

European Conference on Innovation and EntrepreneurshipVol. 20(1)
Openalex Percentile: Top 58%
Information Technology Governance and Strategy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.