{"created":"2022-01-28T01:20:35.052676+00:00","id":2005720,"links":{},"metadata":{"_buckets":{"deposit":"822f2828-0354-4986-82cd-ead990188c45"},"_deposit":{"id":"2005720","owner":"1","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"2005720"},"status":"published"},"_oai":{"id":"oai:u-ryukyu.repo.nii.ac.jp:02005720","sets":["1642837622505:1642837818741:1642837845190","1642838403551:1642838405494"]},"author_link":[],"item_1617186331708":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"マーチの相互学習モデルにおける全メンバ方式によるロックイン・プロセスと知識レベルについて","subitem_1551255648112":"ja"},{"subitem_1551255647225":"Eliciting Knowledge from All Organizational Members: A Descriptive Analysis of Lock-in Processes","subitem_1551255648112":"en"}]},"item_1617186419668":{"attribute_name":"Creator","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"志村, 健一","creatorNameLang":"ja"}]},{"creatorNames":[{"creatorName":"Shimura, Kenichi","creatorNameLang":"en"}]}]},"item_1617186476635":{"attribute_name":"Access Rights","attribute_value_mlt":[{"subitem_1522299639480":"open access","subitem_1600958577026":"http://purl.org/coar/access_right/c_abf2"}]},"item_1617186609386":{"attribute_name":"Subject","attribute_value_mlt":[{"subitem_1522299896455":"ja","subitem_1522300014469":"Other","subitem_1523261968819":"組織学習"},{"subitem_1522299896455":"ja","subitem_1522300014469":"Other","subitem_1523261968819":"マーチの相互学習モデル"},{"subitem_1522299896455":"ja","subitem_1522300014469":"Other","subitem_1523261968819":"全メンバ方式"},{"subitem_1522299896455":"ja","subitem_1522300014469":"Other","subitem_1523261968819":"ロックイン・プロセス"}]},"item_1617186626617":{"attribute_name":"Description","attribute_value_mlt":[{"subitem_description":"マーチの相互学習モデルのメンバ数２、現実の成分数２の場合について、全組織メンバを優秀グループとする場合（全メンバ方式と呼ぶ）について考察した。すべての異なる初期状態について、ロックインのプロセスを求め、これを基に知識レベルの期待値を求めた。その結果、全メンバ方式はマーチの優秀グループによる方式に比べ40％ほどの知識レベルの低下をもたらすことが知れた。またこの方式では学習パラメータは、均衡までの学習回数に影響するだけで、知識レベルには影響しないことがわかった。","subitem_description_type":"Other"},{"subitem_description":"紀要論文","subitem_description_type":"Other"}]},"item_1617186643794":{"attribute_name":"Publisher","attribute_value_mlt":[{"subitem_1522300295150":"ja","subitem_1522300316516":"琉球大学法文学部"}]},"item_1617186702042":{"attribute_name":"Language","attribute_value_mlt":[{"subitem_1551255818386":"jpn"}]},"item_1617186783814":{"attribute_name":"Identifier","attribute_value_mlt":[{"subitem_identifier_type":"HDL","subitem_identifier_uri":"http://hdl.handle.net/20.500.12000/18612"}]},"item_1617186819068":{"attribute_name":"Identifier Registration","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.24564/0002005720","subitem_identifier_reg_type":"JaLC"}]},"item_1617186920753":{"attribute_name":"Source Identifier","attribute_value_mlt":[{"subitem_1522646500366":"ISSN","subitem_1522646572813":"0557-580X"},{"subitem_1522646500366":"NCID","subitem_1522646572813":"AN00250468"}]},"item_1617186941041":{"attribute_name":"Source Title","attribute_value_mlt":[{"subitem_1522650068558":"ja","subitem_1522650091861":"琉球大学経済研究"}]},"item_1617187056579":{"attribute_name":"Bibliographic Information","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2010-09","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"80","bibliographicPageEnd":"114","bibliographicPageStart":"105"}]},"item_1617258105262":{"attribute_name":"Resource Type","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_1617265215918":{"attribute_name":"Version Type","attribute_value_mlt":[{"subitem_1522305645492":"VoR","subitem_1600292170262":"http://purl.org/coar/version/c_970fb48d4fbd8a85"}]},"item_1617605131499":{"attribute_name":"File","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","filename":"No80p105.pdf","mimetype":"application/pdf","url":{"objectType":"fulltext","url":"https://u-ryukyu.repo.nii.ac.jp/record/2005720/files/No80p105.pdf"},"version_id":"56099c6b-7cb4-4778-84aa-1de5dd99a38d"}]},"item_title":"マーチの相互学習モデルにおける全メンバ方式によるロックイン・プロセスと知識レベルについて","item_type_id":"15","owner":"1","path":["1642837845190","1642838405494"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2010-12-02"},"publish_date":"2010-12-02","publish_status":"0","recid":"2005720","relation_version_is_last":true,"title":["マーチの相互学習モデルにおける全メンバ方式によるロックイン・プロセスと知識レベルについて"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2022-11-29T05:53:30.160270+00:00"}