ArticleIFAC-PapersOnLine2022
Industrial Smart Working: a socio-technical model for enabling successful implementation.
Article in IFAC-PapersOnLine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
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0 citing papers in PubMed.
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the spread of the COVID-19 pandemic, many companies have been pushed to re-think their traditional working models to comply with the need for social distancing. In this context, Smart Working practices have been proposed to re-arrange the workforce activities ensuring the minimization of risks as well as business continuity. Despite traditionally most of the smart working practices have been applied to white collars job profiles, the COVID-19 pandemic opened the way to the introduction of Smart Working practices also in the factory environments, introducing the concept of Industrial Smart Working (ISW). This paper aims at contributing to the development of the concept of ISW proposing a socio-technical model discussing the main enabling factors that can support the successful industrial implementation of time and space flexible working models.
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Registered trials
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.