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Identifying the key factors of subsidiary supervision and management using an innovative hybrid architecture in a big data environment

In a highly intertwined and connected business environment, globalized layout planning can be an effective way for enterprises to expand their market. Nevertheless, conflicts and contradictions always exist between parent and subsidiary enterprises; if they are in different countries, these conflict...

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Autores principales: Hu, Kuang-Hua, Hsu, Ming-Fu, Chen, Fu-Hsiang, Liu, Mu-Ziyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7859471/
https://www.ncbi.nlm.nih.gov/pubmed/35024272
http://dx.doi.org/10.1186/s40854-020-00219-9
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author Hu, Kuang-Hua
Hsu, Ming-Fu
Chen, Fu-Hsiang
Liu, Mu-Ziyun
author_facet Hu, Kuang-Hua
Hsu, Ming-Fu
Chen, Fu-Hsiang
Liu, Mu-Ziyun
author_sort Hu, Kuang-Hua
collection PubMed
description In a highly intertwined and connected business environment, globalized layout planning can be an effective way for enterprises to expand their market. Nevertheless, conflicts and contradictions always exist between parent and subsidiary enterprises; if they are in different countries, these conflicts can become especially problematic. Internal control systems for subsidiary supervision and management seem to be particularly important when aiming to align subsidiaries’ decisions with parent enterprises’ strategic intentions, and such systems undoubtedly involve numerous criteria/dimensions. An effective tool is urgently needed to clarify the relevant issues and discern the cause-and-effect relationships among them in these conflicts. Traditional statistical approaches cannot fully explain these situations due to the complexity and invisibility of the criteria/dimensions; thus, the fuzzy rough set theory (FRST), with its superior data exploration ability and impreciseness tolerance, can be considered to adequately address the complexities. Motivated by efficient integrated systems, aggregating multiple dissimilar systems’ outputs and converting them into a consensus result can be useful for realizing outstanding performances. Based on this concept, we insert selected criteria/dimensions via FRST into DEMATEL to identify and analyze the dependency and feedback relations among variables of parent/subsidiary gaps and conflicts. The results present the improvement priorities based on their magnitude of impact, in the following order: organizational control structure, business and financial information system management, major financial management, business strategy management, construction of a management system, and integrated audit management. Managers can consider the potential implications herein when formulating future targeted policies to improve subsidiary supervision and strengthen overall corporate governance.
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spelling pubmed-78594712021-02-04 Identifying the key factors of subsidiary supervision and management using an innovative hybrid architecture in a big data environment Hu, Kuang-Hua Hsu, Ming-Fu Chen, Fu-Hsiang Liu, Mu-Ziyun Financ Innov Research In a highly intertwined and connected business environment, globalized layout planning can be an effective way for enterprises to expand their market. Nevertheless, conflicts and contradictions always exist between parent and subsidiary enterprises; if they are in different countries, these conflicts can become especially problematic. Internal control systems for subsidiary supervision and management seem to be particularly important when aiming to align subsidiaries’ decisions with parent enterprises’ strategic intentions, and such systems undoubtedly involve numerous criteria/dimensions. An effective tool is urgently needed to clarify the relevant issues and discern the cause-and-effect relationships among them in these conflicts. Traditional statistical approaches cannot fully explain these situations due to the complexity and invisibility of the criteria/dimensions; thus, the fuzzy rough set theory (FRST), with its superior data exploration ability and impreciseness tolerance, can be considered to adequately address the complexities. Motivated by efficient integrated systems, aggregating multiple dissimilar systems’ outputs and converting them into a consensus result can be useful for realizing outstanding performances. Based on this concept, we insert selected criteria/dimensions via FRST into DEMATEL to identify and analyze the dependency and feedback relations among variables of parent/subsidiary gaps and conflicts. The results present the improvement priorities based on their magnitude of impact, in the following order: organizational control structure, business and financial information system management, major financial management, business strategy management, construction of a management system, and integrated audit management. Managers can consider the potential implications herein when formulating future targeted policies to improve subsidiary supervision and strengthen overall corporate governance. Springer Berlin Heidelberg 2021-02-04 2021 /pmc/articles/PMC7859471/ /pubmed/35024272 http://dx.doi.org/10.1186/s40854-020-00219-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research
Hu, Kuang-Hua
Hsu, Ming-Fu
Chen, Fu-Hsiang
Liu, Mu-Ziyun
Identifying the key factors of subsidiary supervision and management using an innovative hybrid architecture in a big data environment
title Identifying the key factors of subsidiary supervision and management using an innovative hybrid architecture in a big data environment
title_full Identifying the key factors of subsidiary supervision and management using an innovative hybrid architecture in a big data environment
title_fullStr Identifying the key factors of subsidiary supervision and management using an innovative hybrid architecture in a big data environment
title_full_unstemmed Identifying the key factors of subsidiary supervision and management using an innovative hybrid architecture in a big data environment
title_short Identifying the key factors of subsidiary supervision and management using an innovative hybrid architecture in a big data environment
title_sort identifying the key factors of subsidiary supervision and management using an innovative hybrid architecture in a big data environment
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7859471/
https://www.ncbi.nlm.nih.gov/pubmed/35024272
http://dx.doi.org/10.1186/s40854-020-00219-9
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