Updated on 2024/04/19

写真a

 
TOSE Akira
 
Organization
Academic Assembly Institute of Science and Technology SEISAN DESIGN KOUGAKU KEIRETU Associate Professor
Faculty of Engineering Department of Engineering Associate Professor
Title
Associate Professor
Homepage
https://www.eng.niigata-u.ac.jp/~tose/
▶ display Profile on researchmap
External link

Degree

  • Ph. D. in System Design and Management ( 2016.8   Keio University )

  • MS in System Engineering ( 2010.3   Keio University )

Research Areas

  • Humanities & Social Sciences / Business administration  / Corporate Strategy

  • Humanities & Social Sciences / Business administration  / Management Control

  • Social Infrastructure (Civil Engineering, Architecture, Disaster Prevention) / Safety engineering  / Safety Engineering

  • Social Infrastructure (Civil Engineering, Architecture, Disaster Prevention) / Social systems engineering  / Systems Engineering

Research History

  • Niigata University   Major in Multisocial Studies, Graduate School of Modern Society and Culture   Associate Professor

    2023.4

    　 More details

    Country：Japan

  • Niigata University   Advanced Materials Science and Technology Department, Graduate School of Science and Technology   Associate Professor

    2021.4

  • Niigata University   Faculty of Engineering Department of Engineering   Associate Professor

    2019.2

  • Niigata University   Graduate School of Technology Management   Associate Professor

    2019.2 - 2019.3

  • Niigata University   Faculty of Engineering   Specially Appointed Associate Professor

    2017.4 - 2019.1

  • Niigata University   Institute for Social Innovation and Cooperation

    2016.12

  • Niigata University   Graduate School of Technology Management   Specially Appointed Associate Professor

    2016.4 - 2019.1

  • Niigata University   Graduate School of Technology Management

    2012.4 - 2016.3

▶ display all

Committee Memberships

  • 特定非営利活動法人 安全工学会   国際交流WG 委員  

    2022.12   

    　 More details

    Committee type：Academic society

    researchmap

  • 特定非営利活動法人 安全工学会   第54回安全工学研究発表会 実行委員  

    2022.12   

    　 More details

    Committee type：Academic society

    researchmap

  • 一般社団法人 日本航空宇宙学会   The 2022 Asia-Pacific International Symposium on Aerospace Technology JSASS National Organizing Committee  

    2022.10   

    　 More details

    Committee type：Academic society

    researchmap

  • 一般社団法人 日本航空宇宙学会   第60回飛行機シンポジウム 実行委員  

    2022.10   

    　 More details

  • 経済産業省   中央鉱山保安協議会 専門委員  

    2022.9 - 2023.3   

    　 More details

    Committee type：Government

    researchmap

  • 経済産業省   鉱山災害防止対策研究会 委員  

    2022.9 - 2023.3   

    　 More details

    Committee type：Government

    researchmap

  • Gifu Prefecture, Tajimi City, Mizunami City, Toki City   National Institute for Fusion Science Safety Monitoring Comittee  

    2022.4   

    　 More details

    Committee type：Municipal

    researchmap

  • 国立研究開発法人日本原子力研究開発機構及び大学共同利用機関法人高エネルギー加速器研究機構   J-PARCセンター 安全監査員  

    2018.8   

    　 More details

    Committee type：Other

    researchmap

  • 特定非営利活動法人 安全工学会   普及委員会委員  

    2018.7   

    　 More details

    Committee type：Academic society

    researchmap

▶ display all

 

Papers

  • Safety culture survey conducted for oil & gas development company Reviewed

    Osamu Osawa, Mitsuru Furuya, Wataru Nojiri, Akira Tose

    Journal of the Japanese Association for Petroleum Technology   88 ( 5 )   402 - 407   2023.9

    　More details

    Authorship：Last author   Language：Japanese   Publisher：The Japanese Association for Petroleum Technology  

    researchmap

  • Safety Culture: An overview and prospects

    Tose Akira

    Journal of Japan Society for Safety Enginennring   60 ( 6 )   407 - 414   2021.12

    　More details

    Language：Japanese   Publisher：Japan Soceiety for Safety Engineering  

    DOI： 10.18943/safety.60.6_407

    CiNii Article

    CiNii Books

    researchmap

  • An Applicational Study of Safety Culture Assessment Techniques into Large Scale Process PlantsFocusing on Petrochemical Industries Reviewed

    Akira Tose, Takanori Miki, Kenichi Takano

    JSSE   55 ( 1 )   49 - 63   2016

    　More details

    Language：Japanese   Publisher：安全工学会  

    In process industries as petrochemical industries, many researcher stated levels of safety culture are key factors to affect industrial accidents.<b> </b>However, definitions of safety culture are implicit, and there are many issues to measure safety culture.<b> </b>We developed 110 item questionnaire based on 8 axis model of safety culture. This questionnaire responded by 9,647 employees from 86 Japanese plants, which included thermal power plants, oil refineries, chemical plant and rubber plants.<b> </b>As a result, the first principal component score, which could be used as a composite indicator of safety（Safety Culture Index）, showed a negative correlation with the incidence of occupational and process accidents. Also, result of this study indicates this assessment has the possibility to streamline plants safety measure planning.

    DOI： 10.18943/safety.55.1_49

    CiNii Article

    researchmap

  • Relationship between Job Position and Safety Culture Survey Results:Focusing on Large Scale Process Plants in the Petrochemical Industry in Japan Reviewed

    Akira Tose, Kenichi Takano

    JSSE   55 ( 2 )   125 - 136   2016

    　More details

    Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：安全工学会  

    Understanding how job position affects perceptions of safety culture is important in utilizing safety culture survey results, and performing safety culture audits at a plant. In this study, we use two independently finished safety culture surveys （surveys obtained from HSE department managers and surveys obtained from the workforce）. We performed two analyses to investigate this issue.（ 1） We analyzed relationships between two safety culture surveys for large scale process plants that were finished independently（ 23 plants responded both surveys）,（ 2） We compared safety culture survey results obtained from the workforce for the management to that for the workers（ 32 plants responded）. The analysis results are as follows（. i） Discrepancy between the<b> </b>managements and workers is larger on responses to questionnaire items belonging to "Bases for Organizational Culture." （ ii） Questionnaire items are categorized into "Items with significant positive correlation between responses from the management and the<b> </b>workers" and "Items without correlation between responses from the management and workers." 3） Some questionnaire items in the survey for HSE department managers are negatively correlated with the survey results for the workforce.

    DOI： 10.18943/safety.55.2_125

    CiNii Article

    researchmap

  • The Causal Model Based on Safety Culture Assessment Results in Petrochemical Industry Reviewed

    Kenichi Uno, Akira Tose, Kenichi Takano

    JSSE   55 ( 4 )   265 - 271   2016

    　More details

    Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：安全工学会  

    <p>In recent years, the importance of safety culture in process safety management is recognized in process industries including petrochemical industry. Many assessment techniques of safety culture were proposed. In Japan, the assessment technique based on 8 axes of safety culture has already been applied to many petrochemical plant sites and it was shown recently that their results correlate well to the safety performance of corresponding sites. When the weaknesses of certain axes were made clear through the results of assessments, it is necessary to examine their root causes and propose countermeasures to overcome the weaknesses. In this process, it is necessary to understand the relations between these axes. In the process industry, the function of top management, plant management and operation are equally important to support good safety culture. Based on the assessment data, the authors used covariance structure analysis to propose a causal model with 8 axes as observable variables and 3 layers of management as constructs. By using the causal model, construct scores can be calculated to show the status of certain site in comparison with the other sites and the proposal of countermeasures to strengthen safety culture is facilitated.</p>

    DOI： 10.18943/safety.55.4_265

    CiNii Article

    CiNii Books

    researchmap

  • Industrial Safety Assessment : An Overview of International Trend

    TOSE Akira

    JSSE   51 ( 6 )   395 - 401   2012.12

    　More details

    Language：Japanese   Publisher：安全工学会  

    <p>海外における保安力評価開発の動向を示すため，主に欧州の事例について解説を行う．ノルウェーDet Norske Veritas 社のISRS，イギリスHealth & Safety Laboratory のSafety Climate Tool，の概要を説明すると共に，フランスInstitut pour une culture de la sécurité industrielle（産業安全文化研究所：ICSI） のHSE Culture survey の詳細について解説する．さらに，評価システムを支える人材育成の仕組みをどのように構築しているか並びに今後の保安力評価が目指すべき姿についての整理を行った．</p>

    DOI： 10.18943/safety.51.6_395

    CiNii Article

    CiNii Books

    researchmap

  • A VALIDATION REGARDING EFFECTIVENESS OF SCENARIO GRAPH Reviewed

    Hiroyuki Yagita, Akira Tose, Madoka Nakajima, Sun K. Kim, Takashi Maeno

    PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2011, VOL 9   385 - 394   2012

    　More details

    Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：AMER SOC MECHANICAL ENGINEERS  

    Scenario Graph is a structured mind mapping methodology that aids design teams to generate potential scenarios for new products and services while visually organizing contextual information. Since its introduction in industry and academia, the Scenario Graph has helped design teams to capture new values and behaviors of potential customers during the problem formulation stage. At the same time, the Scenario Graph, sharing a common challenge with various design methods, has faced difficulty regarding validation of its effectiveness as a design method.
    This paper describes a validation framework for a method in problem formulation stages and an experiment, which compare ideation results of 87 people-43 people with the Scenario Graph method (as a test group) and 44 people with the Brainstorming (as a control group) to solve an identical problem. While the results show no statistically significant difference in the number of ideas generated, the data reveals statistically significant differences in the quality of ideas. The test group, which used the Scenario Graph, yielded ideas that were more novel, feasible, and abstract than the control group, which used the Brainstorming, did. These metrics represent a way to measure the quality of ideas in the domain of engineering design.
    Our experiment confirms the hypotheses that the Scenario Graph is effective in improving the performance of idea generation sessions, which is consistent with qualitative evaluations. The lessons, gained from this experiment, provide an insight on how this method can be effectively used during the early stages of concept generation of a company's process for product and/or service development.

    DOI： 10.1115/DETC2011-48047

    Web of Science

    researchmap

  • Target Setting and Evaluation for Team Training Fit to Type of Job Occupation

    TOSE Akira, TAKANO Ken'ichi

    JES Ergonomics   47 ( 5 )   171 - 182   2011.10

    　More details

    Language：Japanese   Publisher：一般社団法人 日本人間工学会  

    In this paper, in order to develop a group dynamics training that suits a specific occupational team, studies were carried out on how to set the training target and to measure training results. Teamwork Importance Factors were determined by implementing a questionnaire survey. A Teamwork Target Scale and a Teamwork Condition Scale were outlined by using a factor model of Teamwork Importance Factors. There was no significant difference between the average on the Teamwork Target Scale and the high score group's average on the Teamwork Condition Scale. There was a significant difference between the average on the Teamwork Target Scale and the low score group's average on the Teamwork Condition Scale. Further, there was a significant difference between the high score group and the low score group's average on the Teamwork Condition Scale. Additionally, the study shows that important factors differ with regard to the types of occupation. Finally, this study shows the possibility for target setting and measuring the training results by using these scales.

    DOI： 10.5100/jje.47.171

    CiNii Article

    CiNii Books

    researchmap

▶ display all

MISC

Presentations

  • Results of Safety Culture Survey and Introduction of Measures to Improve Safety Awareness

    Shoichi Owashi, Osamu Osawa, Mitsuru Furuya, Wataru Nojiri, Akira Tose

    2023.6 

    　More details

    Event date： 2023.6

    Language：Japanese   Presentation type：Oral presentation (general)  

    Country：Japan  

    researchmap

  • Study on the Relationship between Safety Culture and Quality Compliance Awareness based on Safety Culture Assessment Techniques

    Aratama, Hiroshi, Ohashi, Keiko, Hasegawa, Kazuhisa, Fukuo, HIroko, Tose, Akira

    2022.12 

    　More details

    Event date： 2022.12

    Language：Japanese   Presentation type：Oral presentation (general)  

    Country：Japan  

    researchmap

  • Extraction of Factors Fostering Safety Culture and Proposal of Causal Model Based on Safety Culture Assessment Results by Department

    Takahashi, Shogo, Kitani, Yuichi, Harada, Shinichi, Okada, Misao, Tose, Akira

    2022.12 

    　More details

    Event date： 2022.12

    Language：Japanese   Presentation type：Oral presentation (general)  

    Country：Japan  

    researchmap

  • Research on differences in awareness of rule compliance in plant

    Taisei YOKOTA, Misao OKADA, Hiroyuki TANAKA, Kiyoshi TANAKA, Tomoya ISHIMARU, Hiroko FUKUO, Akira TOSE

    2022.12 

    　More details

    Event date： 2022.12

    Language：Japanese   Presentation type：Oral presentation (general)  

    researchmap

  • Prospects of Regional Revitalization Through Cooperative Education at Universities of Science and Technology Collaborating with SMEs in the Region

    KOURAKATA Itaru, NONAKA Satoshi, ODA Masafumi, WAKABAYASHI Etsuko, NAGAO Masanobu, TOSE Akira

    The Proceedings of the Tecnology and Society Conference  2019  The Japan Society of Mechanical Engineers

    　More details

    Event date： 2019

    Language：Japanese  

    researchmap

  • Improving Industrial Safety on Chemical Industries using Safety Competency (Hoan-ryoku) Assessment

    東瀬 朗, 若倉 正英

    アロマティックス  2013.4  日本芳香族工業会

    　More details

    Event date： 2013.4

    Language：Japanese  

    researchmap

  • A VALIDATION REGARDING EFFECTIVENESS OF SCENARIO GRAPH

    Hiroyuki Yagita, Akira Tose, Madoka Nakajima, Sun K. Kim, Takashi Maeno

    PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2011, VOL 9  2012  AMER SOC MECHANICAL ENGINEERS

    　More details

    Event date： 2012

    Language：English  

    Scenario Graph is a structured mind mapping methodology that aids design teams to generate potential scenarios for new products and services while visually organizing contextual information. Since its introduction in industry and academia, the Scenario Graph has helped design teams to capture new values and behaviors of potential customers during the problem formulation stage. At the same time, the Scenario Graph, sharing a common challenge with various design methods, has faced difficulty regarding validation of its effectiveness as a design method.
    This paper describes a validation framework for a method in problem formulation stages and an experiment, which compare ideation results of 87 people-43 people with the Scenario Graph method (as a test group) and 44 people with the Brainstorming (as a control group) to solve an identical problem. While the results show no statistically significant difference in the number of ideas generated, the data reveals statistically significant differences in the quality of ideas. The test group, which used the Scenario Graph, yielded ideas that were more novel, feasible, and abstract than the control group, which used the Brainstorming, did. These metrics represent a way to measure the quality of ideas in the domain of engineering design.
    Our experiment confirms the hypotheses that the Scenario Graph is effective in improving the performance of idea generation sessions, which is consistent with qualitative evaluations. The lessons, gained from this experiment, provide an insight on how this method can be effectively used during the early stages of concept generation of a company's process for product and/or service development.

    researchmap

▶ display all

 

Teaching Experience

  • 地域災害環境システム学演習

    2023
    Institution name：新潟大学

  • 地域災害環境システム学入門

    2023
    Institution name：新潟大学

  • 産業・地域実習

    2023
    Institution name：新潟大学

  • デザイン思考入門

    2023
    Institution name：新潟大学

  • 自然科学総論II

    2023
    Institution name：新潟大学

  • 産業安全研究

    2023
    Institution name：新潟大学

  • 経営管理入門

    2023
    Institution name：新潟大学

  • リスクマネジメント特論

    2021
    Institution name：新潟大学

  • 企業会計基礎

    2021
    -
    2022
    Institution name：新潟大学

  • 技術者としてのキャリア形成入門演習

    2021
    Institution name：新潟大学

  • ロジカルスピーキング

    2021
    Institution name：新潟大学

  • 課題解決インターンシップIII

    2020
    Institution name：新潟大学

  • 技術者の心がまえ

    2020
    Institution name：新潟大学

  • ビジネス統計学

    2020
    Institution name：新潟大学

  • ディベートIII

    2020
    Institution name：新潟大学

  • 協創経営概論

    2020
    Institution name：新潟大学

  • 特許・経営および製品開発入門

    2020
    Institution name：新潟大学

  • 課題解決インターンシップII

    2020
    Institution name：新潟大学

  • アントレプレナーシップII

    2020
    -
    2022
    Institution name：新潟大学

  • 経営管理と社会的責任

    2020
    -
    2022
    Institution name：新潟大学

  • 課題解決インターンシップI

    2020
    -
    2021
    Institution name：新潟大学

  • ディベートI

    2020
    -
    2021
    Institution name：新潟大学

  • キャリアデザイン・インターンシップII

    2018
    -
    2022
    Institution name：新潟大学

  • キャリアデザイン・インターンシップI

    2018
    -
    2021
    Institution name：新潟大学

  • 工学リテラシー入門(融合領域分野)

    2018
    -
    2021
    Institution name：新潟大学

  • リスク・危機管理Ⅰ

    2018
    Institution name：新潟大学

  • プロジェクト演習Ⅱ

    2018
    Institution name：新潟大学

▶ display all