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Quantifying the Importance of Firms by Means of Reputation and Network Control
As recently argued in the literature, the reputation of firms can be channeled through their ownership structure. We use this relation to model reputation spillovers between transnational companies and their participated companies in an ownership network core of 1,318 firms. We then apply concepts o...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8242939/ https://www.ncbi.nlm.nih.gov/pubmed/34222858 http://dx.doi.org/10.3389/fdata.2021.652913 |
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author | Zhang, Yan Schweitzer, Frank |
author_facet | Zhang, Yan Schweitzer, Frank |
author_sort | Zhang, Yan |
collection | PubMed |
description | As recently argued in the literature, the reputation of firms can be channeled through their ownership structure. We use this relation to model reputation spillovers between transnational companies and their participated companies in an ownership network core of 1,318 firms. We then apply concepts of network controllability to identify minimum sets of driver nodes (MDSs) of 314 firms in this network. The importance of these driver nodes is classified according to their control contribution, their operating revenue, and their reputation. The latter two are also taken as proxies for the access costs when utilizing firms as driver nodes. Using an enrichment analysis, we find that firms with high reputation maintain the controllability of the network but rarely become top drivers, whereas firms with medium reputation most likely become top driver nodes. We further show that MDSs with lower access costs can be used to control the reputation dynamics in the whole network. |
format | Online Article Text |
id | pubmed-8242939 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82429392021-07-01 Quantifying the Importance of Firms by Means of Reputation and Network Control Zhang, Yan Schweitzer, Frank Front Big Data Big Data As recently argued in the literature, the reputation of firms can be channeled through their ownership structure. We use this relation to model reputation spillovers between transnational companies and their participated companies in an ownership network core of 1,318 firms. We then apply concepts of network controllability to identify minimum sets of driver nodes (MDSs) of 314 firms in this network. The importance of these driver nodes is classified according to their control contribution, their operating revenue, and their reputation. The latter two are also taken as proxies for the access costs when utilizing firms as driver nodes. Using an enrichment analysis, we find that firms with high reputation maintain the controllability of the network but rarely become top drivers, whereas firms with medium reputation most likely become top driver nodes. We further show that MDSs with lower access costs can be used to control the reputation dynamics in the whole network. Frontiers Media S.A. 2021-06-16 /pmc/articles/PMC8242939/ /pubmed/34222858 http://dx.doi.org/10.3389/fdata.2021.652913 Text en Copyright © 2021 Zhang and Schweitzer. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Big Data Zhang, Yan Schweitzer, Frank Quantifying the Importance of Firms by Means of Reputation and Network Control |
title | Quantifying the Importance of Firms by Means of Reputation and Network Control |
title_full | Quantifying the Importance of Firms by Means of Reputation and Network Control |
title_fullStr | Quantifying the Importance of Firms by Means of Reputation and Network Control |
title_full_unstemmed | Quantifying the Importance of Firms by Means of Reputation and Network Control |
title_short | Quantifying the Importance of Firms by Means of Reputation and Network Control |
title_sort | quantifying the importance of firms by means of reputation and network control |
topic | Big Data |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8242939/ https://www.ncbi.nlm.nih.gov/pubmed/34222858 http://dx.doi.org/10.3389/fdata.2021.652913 |
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