Triadic Rules for Analysis of Productive and Well-Being Social in Activity-Based Working Environments
Thiago Oliveira, Mark Song, Luis Zárate
2024
Abstract
A longitudinal database records data and its variations over a period of time. The objective of this article is to use this resource, together with the Triadic Concept Analysis theory, to analyze and characterize how employees adapted and felt before, during and after the implementation of an activity-based work environment which is defined as a flexible work setting where employees have the autonomy to choose where they perform their tasks, seeking locations that offer optimal solutions in terms of social interaction, communication, and collaboration. The results seek to support the implementation of this concept, verifying how, and under what conditions, key points of employee experiences vary over time.
DownloadPaper Citation
in Harvard Style
Oliveira T., Song M. and Zárate L. (2024). Triadic Rules for Analysis of Productive and Well-Being Social in Activity-Based Working Environments. In Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF; ISBN 978-989-758-688-0, SciTePress, pages 293-299. DOI: 10.5220/0012309800003657
in Bibtex Style
@conference{healthinf24,
author={Thiago Oliveira and Mark Song and Luis Zárate},
title={Triadic Rules for Analysis of Productive and Well-Being Social in Activity-Based Working Environments},
booktitle={Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF},
year={2024},
pages={293-299},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012309800003657},
isbn={978-989-758-688-0},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF
TI - Triadic Rules for Analysis of Productive and Well-Being Social in Activity-Based Working Environments
SN - 978-989-758-688-0
AU - Oliveira T.
AU - Song M.
AU - Zárate L.
PY - 2024
SP - 293
EP - 299
DO - 10.5220/0012309800003657
PB - SciTePress