Evidence map›Paper›PMID 36531936›Full record

ArticleEuropean management journal2022

Overcoming pandemic challenges through product innovation: The role of digital technologies and servitization.

Marco Bettiol, Mauro Capestro, Eleonora Di Maria, Stefano Micelli

Abstract read
In one paragraph

Article in European management journal, 2022. 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

4 authors.

Marco BettiolDepartment of Economics and Management, University of Padova, Italy.
Mauro CapestroDepartment of Economics and Management, University of Padova, Italy.
Eleonora Di MariaDepartment of Economics and Management, University of Padova, Italy.
Stefano MicelliDepartment of Management, Ca' Foscari University of Venice, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fast-changing scenario related to the COVID-19 pandemic calls for firms to rapidly redefine and innovate their strategies to sustain their businesses, with research emphasizing the key roles of digital technologies and servitization. We aim to enrich the theoretical debate on this matter by assessing how small and medium-sized enterprises (SMEs) achieve product innovation under time constraints by leveraging two specific technology groups (information and communication technologies [ICT] and Industry 4.0 data-processing technologies) and servitization. The research is based on a mixed-method approach consisting of an original survey completed by 257 Italian SMEs (grounded on a previous qualitative study about such SMEs' behaviors during the first Italian lockdown), followed by in-depth interviews with the owners and/or managers of the eight SMEs that participated in the survey. The results show a positive relationship between the increased use of digital technologies (ICT and Industry 4.0 data-processing technologies) during the pandemic with servitization and, in turn, with product innovation. Specifically, the increased use of ICT during the pandemic had a direct positive effect on product innovation, while Industry 4.0 data-processing technologies affected product innovation only through the full mediation of servitization. The qualitative study allowed us to highlight how the different kinds of digital technologies supported SMEs' innovation (servitization and product innovation) during the pandemic. The theoretical and practical contributions of this study are discussed.

Indexed as

COVID-19 pandemicIndustry 4.0Information and communication technologiesProduct innovationServitizationSMEs

Identifiers

PMID36531936
PMCPMC9134868

What OpenQuestion holds

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Registered trials

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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.