No Cover Image

Journal article 514 views 153 downloads

An adaptive heterogeneous ensemble learning method for multi-dimensional company performance decision-making

Yi Feng, Mohammad Abedin Orcid Logo, Yunqiang Yin, Dujuan Wang Orcid Logo, Edwin Tai Chiu Cheng, Kristof Coussement

Annals of Operations Research, Volume: 353, Issue: 2, Pages: 693 - 725

Swansea University Author: Mohammad Abedin Orcid Logo

  • 67937.AAM.pdf

    PDF | Accepted Manuscript

    Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy (rights retention).

    Download (919.63KB)
Published in: Annals of Operations Research
ISSN: 0254-5330 1572-9338
Published: Springer Nature 2025
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa67937
first_indexed 2024-10-08T17:11:44Z
last_indexed 2026-01-23T06:43:27Z
id cronfa67937
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2026-01-22T14:58:21.8392330</datestamp><bib-version>v2</bib-version><id>67937</id><entry>2024-10-08</entry><title>An adaptive heterogeneous ensemble learning method for multi-dimensional company performance decision-making</title><swanseaauthors><author><sid>4ed8c020eae0c9bec4f5d9495d86d415</sid><ORCID>0000-0002-4688-0619</ORCID><firstname>Mohammad</firstname><surname>Abedin</surname><name>Mohammad Abedin</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2024-10-08</date><deptcode>CBAE</deptcode><abstract/><type>Journal Article</type><journal>Annals of Operations Research</journal><volume>353</volume><journalNumber>2</journalNumber><paginationStart>693</paginationStart><paginationEnd>725</paginationEnd><publisher>Springer Nature</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>0254-5330</issnPrint><issnElectronic>1572-9338</issnElectronic><keywords>Heterogeneous ensemble learning; Company performance; Model interpretability; Machine learning</keywords><publishedDay>1</publishedDay><publishedMonth>10</publishedMonth><publishedYear>2025</publishedYear><publishedDate>2025-10-01</publishedDate><doi>10.1007/s10479-024-06309-6</doi><url/><notes/><college>COLLEGE NANME</college><department>Management School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>CBAE</DepartmentCode><institution>Swansea University</institution><apcterm>Not Required</apcterm><funders>This article was supported in part by the National Natural Science Foundation of China under grant numbers 72171161, 71971041 and 71871148; supported by Funds for Sichuan University to Building a World-class University.</funders><projectreference/><lastEdited>2026-01-22T14:58:21.8392330</lastEdited><Created>2024-10-08T18:10:02.0259968</Created><path><level id="1">Faculty of Humanities and Social Sciences</level><level id="2">School of Management - Accounting and Finance</level></path><authors><author><firstname>Yi</firstname><surname>Feng</surname><order>1</order></author><author><firstname>Mohammad</firstname><surname>Abedin</surname><orcid>0000-0002-4688-0619</orcid><order>2</order></author><author><firstname>Yunqiang</firstname><surname>Yin</surname><order>3</order></author><author><firstname>Dujuan</firstname><surname>Wang</surname><orcid>0000-0003-1617-7057</orcid><order>4</order></author><author><firstname>Edwin Tai Chiu</firstname><surname>Cheng</surname><order>5</order></author><author><firstname>Kristof</firstname><surname>Coussement</surname><order>6</order></author></authors><documents><document><filename>67937__32875__836baf3a5925431284c65c41f0443bcb.pdf</filename><originalFilename>67937.AAM.pdf</originalFilename><uploaded>2024-11-07T12:00:43.9492674</uploaded><type>Output</type><contentLength>941701</contentLength><contentType>application/pdf</contentType><version>Accepted Manuscript</version><cronfaStatus>true</cronfaStatus><documentNotes>Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy (rights retention).</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>https://creativecommons.org/licenses/by/4.0/deed.en</licence></document></documents><OutputDurs/></rfc1807>
spelling 2026-01-22T14:58:21.8392330 v2 67937 2024-10-08 An adaptive heterogeneous ensemble learning method for multi-dimensional company performance decision-making 4ed8c020eae0c9bec4f5d9495d86d415 0000-0002-4688-0619 Mohammad Abedin Mohammad Abedin true false 2024-10-08 CBAE Journal Article Annals of Operations Research 353 2 693 725 Springer Nature 0254-5330 1572-9338 Heterogeneous ensemble learning; Company performance; Model interpretability; Machine learning 1 10 2025 2025-10-01 10.1007/s10479-024-06309-6 COLLEGE NANME Management School COLLEGE CODE CBAE Swansea University Not Required This article was supported in part by the National Natural Science Foundation of China under grant numbers 72171161, 71971041 and 71871148; supported by Funds for Sichuan University to Building a World-class University. 2026-01-22T14:58:21.8392330 2024-10-08T18:10:02.0259968 Faculty of Humanities and Social Sciences School of Management - Accounting and Finance Yi Feng 1 Mohammad Abedin 0000-0002-4688-0619 2 Yunqiang Yin 3 Dujuan Wang 0000-0003-1617-7057 4 Edwin Tai Chiu Cheng 5 Kristof Coussement 6 67937__32875__836baf3a5925431284c65c41f0443bcb.pdf 67937.AAM.pdf 2024-11-07T12:00:43.9492674 Output 941701 application/pdf Accepted Manuscript true Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy (rights retention). true eng https://creativecommons.org/licenses/by/4.0/deed.en
title An adaptive heterogeneous ensemble learning method for multi-dimensional company performance decision-making
spellingShingle An adaptive heterogeneous ensemble learning method for multi-dimensional company performance decision-making
Mohammad Abedin
title_short An adaptive heterogeneous ensemble learning method for multi-dimensional company performance decision-making
title_full An adaptive heterogeneous ensemble learning method for multi-dimensional company performance decision-making
title_fullStr An adaptive heterogeneous ensemble learning method for multi-dimensional company performance decision-making
title_full_unstemmed An adaptive heterogeneous ensemble learning method for multi-dimensional company performance decision-making
title_sort An adaptive heterogeneous ensemble learning method for multi-dimensional company performance decision-making
author_id_str_mv 4ed8c020eae0c9bec4f5d9495d86d415
author_id_fullname_str_mv 4ed8c020eae0c9bec4f5d9495d86d415_***_Mohammad Abedin
author Mohammad Abedin
author2 Yi Feng
Mohammad Abedin
Yunqiang Yin
Dujuan Wang
Edwin Tai Chiu Cheng
Kristof Coussement
format Journal article
container_title Annals of Operations Research
container_volume 353
container_issue 2
container_start_page 693
publishDate 2025
institution Swansea University
issn 0254-5330
1572-9338
doi_str_mv 10.1007/s10479-024-06309-6
publisher Springer Nature
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Accounting and Finance{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Accounting and Finance
document_store_str 1
active_str 0
published_date 2025-10-01T05:24:28Z
_version_ 1856805241017597952
score 11.096047