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了解坚韧对劳动力和幸福感的影响:基于机器学习的分析。

Understanding the impact of sisu on workforce and well-being: A machine learning-based analysis.

作者信息

Khan Umair Ali, Kauttonen Janne, Henttonen Pentti, Määttänen Ilmari

机构信息

Haaga-Helia University of Applied Sciences, Helsinki, Finland.

University of Helsinki, Helsinki, Finland.

出版信息

Heliyon. 2024 Jan 7;10(2):e24148. doi: 10.1016/j.heliyon.2024.e24148. eCollection 2024 Jan 30.

Abstract

This study investigates the construct of sisu, a Finnish attribute representing mental resilience and fortitude when confronted with difficult situations. By leveraging advanced analytical methods and explainable Artificial Intelligence, we gain insights into how sisu factors influence well-being, work efficiency, and overall health. We investigate how the beneficial aspects of sisu contribute significantly to mental and physical health, satisfaction, and professional accomplishments. Conversely, we analyze the harmful sisu and its adverse impacts on the same domains. Our findings, including intriguing trends related to age, educational level, emotional states, and gender, pave the way for developing tailored solutions and initiatives to nurture the beneficial aspects of sisu and curtail the damaging consequences of sisu within professional settings and personal welfare.

摘要

本研究调查了“sisu”这一概念,它是一种芬兰特质,代表着面对困难情况时的心理韧性和坚毅。通过运用先进的分析方法和可解释的人工智能,我们深入了解了“sisu”因素如何影响幸福感、工作效率和整体健康。我们研究了“sisu”的有益方面如何对心理和身体健康、满意度以及职业成就做出重大贡献。相反,我们分析了有害的“sisu”及其在相同领域的负面影响。我们的研究结果,包括与年龄、教育水平、情绪状态和性别相关的有趣趋势,为制定量身定制的解决方案和举措铺平了道路,以培育“sisu”的有益方面,并在职业环境和个人福祉中减少“sisu”的有害后果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2b3/10826664/be4f960111e3/gr1.jpg

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