{"created":"2024-04-16T09:13:04.058613+00:00","id":2000038,"links":{},"metadata":{"_buckets":{"deposit":"46419d64-e335-49e4-b403-8dad28a1a3b9"},"_deposit":{"created_by":10,"id":"2000038","owners":[10],"pid":{"revision_id":0,"type":"depid","value":"2000038"},"status":"published"},"_oai":{"id":"oai:mejiro.repo.nii.ac.jp:02000038","sets":["1:18:1712294868258"]},"author_link":[],"item_10002_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-31","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"22","bibliographicPageEnd":"37","bibliographicPageStart":"21","bibliographic_titles":[{"bibliographic_title":"目白大学経営学研究","bibliographic_titleLang":"ja"},{"bibliographic_title":"Mejiro Journal of Managemant","bibliographic_titleLang":"en"}]}]},"item_10002_description_19":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"pdf","subitem_description_type":"Other"}]},"item_10002_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"本論文は，統計的品質管理を基礎としたビジネスデータサイエンスついて述べる．対象とする領域は，問題や課題が存在するビジネス領域であり，対象者はデータサイエンス，すなわち数理統計学，経営学，情報通信科学について初心者である．統計的品質管理の手法として検定，分散分析，回帰分析を使用し，問題の解決や課題の達成につなげる．本研究の最大の特徴は，実物教材を使用している点である．これによりデータサイエンスの初心者に対しても統計的手法を理解し，自らが進んで問題解決や課題達成に取り組むことができる．また統計手法を活用するためのステップとしてPDCAサイクルを採用し，そのスパイラルアップの中でデータサイエンス能力を高めていくことを目標としている．さらに適切な統計解析ソフトの使用を前提としている．初心者には理解が難しい統計手法やその理論は割愛し，あくまでビジネスでの実践を重視したものとしている．これらは現在のビジネス状況において，様々な事象の変化が急速に，かつ大きくなっていることが背景としてある．統計的品質管理手法により得られた回帰モデルを活用することも視野に入れながら，パーソナルコンピュータ（PC）を用いた統計解析ソフトを有効に活用し実物教材を使用している．それらの方法は統計的品質管理における改善活動として理解される．これら一連の活動を通じて，統計的品質管理を基礎とした実物教材によるビジネスデータサイエンスの有用性と課題点を考察する．","subitem_description_language":"ja","subitem_description_type":"Abstract"},{"subitem_description":"This paper descrives business data science based on statistical quality control. The targeted domain is business areas with problems and challenges, and the target group is beginners in data science, including mathematical statistics, business administration, and information and communication science. Statistical quality control methods such as hypothesis testing, analysis of variance, and regression analysis are used to solve problems and achieve issues. The main feature of this research is the use of tangible teaching materials, enabling beginners in data science to understand statistical methods and engage in problem-solving and goal achievement. The PDCA cycle is adopted as a step for utilizing statistical methods, with the goal of enhancing data science skills within the spiral-up process. The use of appropriate statistical analysis software is assumed. Complex statistical methods and the theories, which may be challenging for beginners, are omitted in favor of emphasizing practical applications in the business context. This approach is motivated by the rapidly changing and expanding nature of various events in the current business environment. The paper also considers the utilization of regression models obtained through statistical quality control methods and the effective use of statistical analysis software on personal computers. These methods are understood as improvement activities in statistical quality control. Through this series of activities, the paper reflects on the utility and challenges of business data science based on statistical quality control using tangible teaching materials.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_10002_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"目白大学","subitem_publisher_language":"ja"}]},"item_10002_rights_15":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"目白大学","subitem_rights_language":"ja"}]},"item_10002_source_id_11":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11843415","subitem_source_identifier_type":"NCID"}]},"item_10002_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1348-5776","subitem_source_identifier_type":"ISSN"}]},"item_10002_version_type_20":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"小川, 昭","creatorNameLang":"ja"}]},{"creatorNames":[{"creatorName":"伊藤, 利佳","creatorNameLang":"ja"}]},{"creatorNames":[{"creatorName":"高橋, 武則","creatorNameLang":"ja"}]},{"creatorNames":[{"creatorName":"OGAWA, Akira","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"ITO, Rika","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"TAKAHASHI, Takenori","creatorNameLang":"en"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","displaytype":"detail","filename":"MJM_22_21.pdf","format":"application/pdf","mimetype":"application/pdf","url":{"url":"https://mejiro.repo.nii.ac.jp/record/2000038/files/MJM_22_21.pdf"},"version_id":"4f31abbe-8f6d-44a8-a00c-d5b6edc0e297"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"個統計的品質管理","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"データサイエンス","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"実物教材","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"問題解決と課題達成","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"PDCAサイクル","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"Data science","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Statistical quality control","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Tangible teaching materials","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Statistical model","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"統計的品質管理を基礎としたビジネスデータサイエンスの研究","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"統計的品質管理を基礎としたビジネスデータサイエンスの研究","subitem_title_language":"ja"},{"subitem_title":"Research of business data science based on statistical quality control","subitem_title_language":"en"}]},"item_type_id":"10002","owner":"10","path":["1712294868258"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-04-16"},"publish_date":"2024-04-16","publish_status":"0","recid":"2000038","relation_version_is_last":true,"title":["統計的品質管理を基礎としたビジネスデータサイエンスの研究"],"weko_creator_id":"10","weko_shared_id":-1},"updated":"2024-05-07T00:14:37.963904+00:00"}