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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...

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Autores principales: Zhang, Yan, Schweitzer, Frank
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
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.
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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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