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Paper Abstract and Keywords
Presentation 2020-02-14 14:20
Utilizing Job Stress Questionnaire data by Data Analysis Method
Keiya Okada, Keisuke Onishi, Masahiro Akimoto (KKE.Inc) AI2019-46
Abstract (in Japanese) (See Japanese page) 
(in English) We made it clear that utilizing Job Stress Questionnaire data by Data Analysis Method is effective to grasp the structure of stress in company organization and promote to build hypotheses for countermeasure. The conventional analysis with Job Stress Questionnaire data for the company organization does not lead to the concrete improvement activity well because it tends to be the simple totaling and is limited to the shallow understanding for the result. In order to solve this issue, we applied the decision tree analysis for Job Stress Questionnaire data and tried to visualize the characteristic of job stress under company organization. As a result, we could accelerate to cooperation between members of Human Resources and General Affairs and members of Data analysts and they could deepen the understanding of structure of organizational problem and create the executable counterplan.
Keyword (in Japanese) (See Japanese page) 
(in English) Job Stress Questionnaire / mental health care / decision tree analysis / visualization / work engagement / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 413, AI2019-46, pp. 17-22, Feb. 2020.
Paper # AI2019-46 
Date of Issue 2020-02-07 (AI) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF AI2019-46

Conference Information
Committee AI  
Conference Date 2020-02-14 - 2020-02-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Izumo Campus, Shimane University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Socionetwork Strategies in the Market of Data VI: Cross-cultural Collaboration and Life Space Innovation, etc. 
Paper Information
Registration To AI 
Conference Code 2020-02-AI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Utilizing Job Stress Questionnaire data by Data Analysis Method 
Sub Title (in English)  
Keyword(1) Job Stress Questionnaire  
Keyword(2) mental health care  
Keyword(3) decision tree analysis  
Keyword(4) visualization  
Keyword(5) work engagement  
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Keyword(8)  
1st Author's Name Keiya Okada  
1st Author's Affiliation KOZO KEIKAKU ENGINEERING Inc. (KKE.Inc)
2nd Author's Name Keisuke Onishi  
2nd Author's Affiliation KOZO KEIKAKU ENGINEERING Inc. (KKE.Inc)
3rd Author's Name Masahiro Akimoto  
3rd Author's Affiliation KOZO KEIKAKU ENGINEERING Inc. (KKE.Inc)
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Speaker Author-1 
Date Time 2020-02-14 14:20:00 
Presentation Time 20 minutes 
Registration for AI 
Paper # AI2019-46 
Volume (vol) vol.119 
Number (no) no.413 
Page pp.17-22 
#Pages
Date of Issue 2020-02-07 (AI) 


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