| Presentation | 2020-02-14 Utilizing Job Stress Questionnaire data by Data Analysis Method Keiya Okada, Keisuke Onishi, Masahiro Akimoto, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | Job Stress Questionnaire / mental health care / decision tree analysis / visualization / work engagement |
| Paper # | AI2019-46 |
| Date of Issue | 2020-02-07 (AI) |
| Conference Information | |
| Committee | AI |
|---|---|
| Conference Date | 2020/2/14(1days) |
| 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. |
| Chair | Naoki Fukuta(Shizuoka Univ.) |
| Vice Chair | Yuichi Sei(Univ. of Electro-Comm.) / Yuko Sakurai(AIST) |
| Secretary | Yuichi Sei(Osaka Univ.) / Yuko Sakurai(Tokyo Univ. of Agriculture and Technology) |
| Assistant | |
| Paper Information | |
| Registration To | Technical Committee on Artificial Intelligence and Knowledge-Based Processing |
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| Language | JPN |
| 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 |
| 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) |
| Date | 2020-02-14 |
| Paper # | AI2019-46 |
| Volume (vol) | vol.119 |
| Number (no) | AI-413 |
| Page | pp.pp.17-22(AI), |
| #Pages | 6 |
| Date of Issue | 2020-02-07 (AI) |