Evidence map›Paper›PMID 42135405›Full record

ArticleScientific reports2026

Designing strategic scenarios for the digital transition.

Vítor Alcácer, Alexandra Tenera, Francisco Araújo, Helena Carvalho, Virgilio Cruz-Machado

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

5 authors.

Vítor AlcácerInstituto Politécnico de Setubal, Escola Superior de Tecnologia de Setubal, Setubal, 2910-761, Portugal. vitor.alcacer@estsetubal.ips.pt.
Alexandra TeneraDepartment of Mechanical and Industrial Engineering, Faculty of Science and Technology, Universidade Nova de Lisboa, Caparica, 2829-516, Portugal.
Francisco AraújoDepartment of Mechanical and Industrial Engineering, Faculty of Science and Technology, Universidade Nova de Lisboa, Caparica, 2829-516, Portugal.
Helena CarvalhoDepartment of Mechanical and Industrial Engineering, Faculty of Science and Technology, Universidade Nova de Lisboa, Caparica, 2829-516, Portugal.
Virgilio Cruz-MachadoDepartment of Mechanical and Industrial Engineering, Faculty of Science and Technology, Universidade Nova de Lisboa, Caparica, 2829-516, Portugal.

Funding

Fundação para a Ciência e a Tecnologia UIDB/00667/2020 (UNIDEMI)
6 · The paper itself

Abstract

Strategic scenarios support decision-making under uncertainty; however, existing Industry 4.0 (I4.0) research predominantly adopts technological perspectives and does not provide methodologies that integrate risk management into scenario development. This study addresses this gap by proposing a methodology for developing strategic scenarios for I4.0 adoption based on risk assessment and risk appetite. Following a Design Science Research approach, the study includes a systematic literature review (20 studies) to examine existing scenario development approaches in I4.0, which did not identify any methodologies incorporating risk management. This is complemented by a qualitative case study involving 15 experts from industrial and academic contexts. A structured risk analysis identified 35 risks across 9 categories, enabling the prioritization of key factors influencing digital transformation. The study results in the development of a validated methodological framework and four strategic scenarios derived from the interaction between risk levels and organizational risk appetite. The findings demonstrate how integrating risk management into scenario planning enhances strategic decision-making under uncertainty. This study contributes by addressing a critical gap in risk-based scenario methodologies for I4.0 and by proposing a novel framework that integrates risk management into strategic scenario development.

Indexed as

Industry 4.0Risk assessmentRisk managementStrategic scenario development

Identifiers

PMID42135405
PMCPMC13369357

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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.