Evidence map›Paper›PMID 32260142›Full record

ArticleInternational journal of environmental research and public health2020

The Promotion of Technology Acceptance and Work Engagement in Industry 4.0: From Personal Resources to Information and Training.

Monica Molino, Claudio G Cortese, Chiara Ghislieri

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
18.1field-weighted citation impact, top 1% of its field
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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 156 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Factors Associated with AI Use in a Norwegian Sample.Behavioral sciences (Basel, Switzerland) · 2026
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  8. Review
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  15. Experience of Online Learning from COVID-19: Preparing for the Future of Digital Transformation in Education.International journal of environmental research and public health · 2022
    Article
  16. New Technology and Loss of Paid Employment among Older Workers: Prospective Cohort Study.International journal of environmental research and public health · 2022
    Article
  17. Article
  18. Article
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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

3 authors at 1 institution in 1 country.

Monica MolinoDepartment of Psychology, University of Turin, 10124 Turin, Italy.ORCID 0000-0002-7002-0088
Claudio G CorteseDepartment of Psychology, University of Turin, 10124 Turin, Italy.ORCID 0000-0003-2339-9838
Chiara GhislieriDepartment of Psychology, University of Turin, 10124 Turin, Italy.ORCID 0000-0003-4002-8756
University of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thanks to the rapid advances of technology, we are currently experiencing the fourth industrial revolution, which is introducing several changes in how organizations operate and how people learn and do their work. Many questions arise within this framework about how these transformations may affect workers' wellbeing, and the Work and Organizational Psychology is called upon to address these open issues. This study aims to investigate personal and organizational antecedents (resilience, goal orientation and opportunities for information and training) and one consequence (work engagement) of technology acceptance within factories, comparing white- and blue-collar workers. The study involved a sample of 598 workers (white-collar = 220, blue-collar = 378) employed at an Italian company who filled in a self-report questionnaire. In both samples, the multi-group structural equation model showed a positive relationship between resilience, opportunities for information and training, and technology acceptance, which in turn showed a positive association with work engagement. All indirect effects were significant. This study investigated the motivational dynamics related to the introduction of new technologies within factories involving the little-studied population of blue-collar workers. Results highlighted the importance of providing information and opportunities for training to all employees, in order to support Industry 4.0 transformations without impacting on workers' motivation.

Indexed as

IndustryPersonnel ManagementWork EngagementEmploymentHealth ResourcesHumansOccupational HealthSurveys and Questionnairesindustry 4.0personal resourcestechnology acceptancetrainingwork engagement

Identifiers

PMID32260142
PMCPMC7178190
OpenAlexW3014262465

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.