Evidence map›Paper›PMID 40478990›Full record

ArticleJournal of the knowledge economy2023

Spatial Patterns and Drivers of SME Digitalisation.

Adelheid Holl, Ruth Rama

Abstract read
In one paragraph

Article in Journal of the knowledge economy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Adelheid HollInstitute of Public Goods and Policies (IPP), CSIC-Consejo Superior de Investigaciones Científicas, C/Albasanz, 26-28, 28037 Madrid, Spain.ORCID 0000-0003-4045-9468
Ruth RamaInstitute of Economics, Geography and Demography (IEGD), CSIC-Consejo Superior de Investigaciones Científicas, C/Albasanz, 26-28, 28037 Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abstract: Digital transformation plays an increasingly important role in the growth and competitiveness of small and medium-sized enterprises (SMEs), yet little is known regarding spatial inequalities in their adoption of advanced digital technologies. Using recent data from the Flash Eurobarometer 486, we study the spatial patterns of drivers for the implementation of new digital technologies in SMEs in Europe. In our analysis, the focus is on the possible influence of location. Considerable heterogeneity of SMEs is found in their propensity to adopt advanced digital technologies related to the strength of the local business environment and to the urban/rural hierarchy. Plain English Summary European SMEs and Digitalisation: The adoption of digital technologies favours the competitiveness, resilience, and internationalisation of firms, but SMEs, which form the backbone of the EU economy, are lagging behind. A recent survey reveals that location greatly influences the probability that European SMEs adopt digital technology. Rural and small-town SMEs are less likely to be adopters, even when country, sector, and firm-specific characteristics are taken into account. However, good business environments always encourage the adoption of digitalisation technologies, whatever the geographic location of an SME. Innovators tend to be adopters, especially when they employ green innovation or management innovation. Larger SMEs, companies that are part of a business group, grow more rapidly, and/or export, are all more likely to adopt digital technologies. Policy-makers need to contemplate the urban/rural-divide and promote strong business environments in all types of locations. Public encouragement towards innovation is likely to indirectly promote easier access to digital technologies.

Indexed as

DigitalisationLocationRural areasSMEsTechnology adoption

Identifiers

PMID40478990
PMCPMC10122538

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.