Quantifying the Importance of Firms by Means of Reputation and Network Control.

Front Big Data

Chair of Systems Design, ETH Zurich, Zurich, Switzerland.

Published: June 2021

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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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8242939PMC
http://dx.doi.org/10.3389/fdata.2021.652913DOI Listing

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