The way to use the guidelines for supporting resilience enhancement: From verifying effectiveness using before-after comparison test design of two fitness centers

Naoto Shoji*, Takumi Iwaasa, Yutaka Nakajima, Motoki Mizuno

*この研究の対応する著者

研究成果: Conference contribution

抄録

The purpose of this study was to verifying effectiveness of the guidelines for supporting resilience enhancement. Moreover, we aimed to discuss the effective way to use the guidelines based statistical data. The two fitness centers of the Metropolitan area joined this research in Japan. The fitness clubs approached to enhance resilience using the guidelines for a month or three months. The samples were 18 employees (Center A: 10, Center B: 8) completing the before-and-after evaluation using a questionnaire about resilience. The effect size (r) of result for paired t-test was pointed as the evaluate index for effectiveness of the activities to enhance resilience with the guidelines. As the result, center A’s resilience increased (r = 0.15 − 0.64), center B’s resilience decreased (r = 0.23 − 0.80). The organizational improvement activities including the improvement organizational process and interaction cause more effective resilience enhancement rather than the activities aiming to individual ability development to strengthen individual weakness.

本文言語English
ホスト出版物のタイトルAdvances in Social and Occupational Ergonomics -Proceedings of the AHFE 2016 International Conference on Social and Occupational Ergonomics
編集者Richard H.M. Goossens
出版社Springer Verlag
ページ435-445
ページ数11
ISBN(印刷版)9783319416878
DOI
出版ステータスPublished - 2017
外部発表はい
イベント7th International Conference on Applied Human Factors and Ergonomics, 2016 - Walt Disney World, United States
継続期間: 2016 7 272016 7 31

出版物シリーズ

名前Advances in Intelligent Systems and Computing
487
ISSN(印刷版)2194-5357

Conference

Conference7th International Conference on Applied Human Factors and Ergonomics, 2016
国/地域United States
CityWalt Disney World
Period16/7/2716/7/31

ASJC Scopus subject areas

  • 制御およびシステム工学
  • コンピュータ サイエンス(全般)

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