Big data driven supply chains in SMEs: The role of industry digitalization

The adoption of technologies is critical for SMEs seeking to maintain competitiveness, particularly through improved supply chain management. While industry-level digitalization can either facilitate or constrain firm-level digitalization efforts, its role has received limited scholarly attention. This study investigates how the use of big data analytics in supply chain management is associated with SME profitability, and how this relationship varies by industry-level digitalization in terms of assets, usage, and labor. Drawing on survey data from 289 SMEs, supplemented with objective financial indicators and secondary data on industry digitalization, regression analysis reveals that the use of big data analytics in supply chain management significantly boosts SME profitability. The effect is most pronounced in industries characterized by high levels of digital stakeholder engagement (that is, usage), rather than other dimensions of digitalization. Our findings identify conditions under which investments in big data driven supply chains are most likely to yield financial returns.

Authors

Institutions

Publication Details

Journal
Journal of Small Business Management
Published
2025-11-11
DOI
https://doi.org/10.1080/00472778.2025.2578448
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
2.28

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Big data driven supply chains in SMEs: The role of industry digitalization

Heli Hallikainen, Emma Savimäki, Tommi Laukkanen, Mika Gabrielsson
1 citations
Journal of Small Business Management
Big Data and Business Intelligence
2.28
article

Big data driven supply chains in SMEs: The role of industry digitalization

Heli Hallikainen, Emma Savimäki, Tommi Laukkanen, Mika Gabrielsson
article en
1 citations

Abstract

The adoption of technologies is critical for SMEs seeking to maintain competitiveness, particularly through improved supply chain management. While industry-level digitalization can either facilitate or constrain firm-level digitalization efforts, its role has received limited scholarly attention. This study investigates how the use of big data analytics in supply chain management is associated with SME profitability, and how this relationship varies by industry-level digitalization in terms of assets, usage, and labor. Drawing on survey data from 289 SMEs, supplemented with objective financial indicators and secondary data on industry digitalization, regression analysis reveals that the use of big data analytics in supply chain management significantly boosts SME profitability. The effect is most pronounced in industries characterized by high levels of digital stakeholder engagement (that is, usage), rather than other dimensions of digitalization. Our findings identify conditions under which investments in big data driven supply chains are most likely to yield financial returns.

Journal of Small Business Management
Corvinus University of Budapest (HU), University of Eastern Finland (FI), Finland University (FI), Hanken School of Economics (FI)
Tekes
Openalex Percentile: Top 8%
Big Data and Business Intelligence
2.28
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.