scholarly journals The interdependence of corporate reputation and ownership: a network approach to quantify reputation

2019 ◽  
Vol 6 (10) ◽  
pp. 190570 ◽  
Author(s):  
Yan Zhang ◽  
Frank Schweitzer

We propose a novel way to measure the reputation of firms by using information about their ownership structure. Supported by the signalling theory, we argue that ownership relations channel reputation spillovers between shareholders and their invested companies. We model such reputation spillovers by means of a simple dynamics that runs on the ownership network, constructed from available databases. We focus on the core of the global ownership network with 1300 firms and 12 100 ownership links. Our method assigns an ownership-based reputation value to each firm, used to provide a quantitative reputation ranking. We compare our ranking with alternative rankings, to confirm that the top-ranked firms are correctly identified. We also demonstrate that our reputation measure does not correlate substantially with operating revenue or control and thus provides additional information about firms.

2018 ◽  
Author(s):  
Johann-Mattis List

Sound correspondence patterns play a crucial role for linguistic reconstruction. Linguists use them to prove language relationship, to reconstruct proto-forms, and for classical phylogenetic reconstruction based on shared innovations. Cognate words which fail to conform with expected patterns can further point to various kinds of exceptions in sound change, such as analogy or assimilation of frequent words. Here we present an automatic method for the inference of sound correspondence patterns across multiple languages based on a network approach. The core idea is to represent all columns in aligned cognate sets as nodes in a network with edges representing the degree of compatibility between the nodes. The task of inferring all compatible correspondence sets can then be handled as the well-known minimum clique cover problem in graph theory, which essentially seeks to split the graph into the smallest number of cliques in which each node is represented by exactly one clique. The resulting partitions represent all correspondence patterns which can be inferred for a given dataset. By excluding those patterns which occur in only a few cognate sets, the core of regularly recurring sound correspondences can be inferred. Based on this idea, the paper presents a method for automatic correspondence pattern recognition, which is implemented as part of a Python library which supplements the paper. To illustrate the usefulness of the method, we present how the inferred patterns can be used to predict words that have not been observed before.


Downhole logging techniques are already widely used in the petroleum and mining industries. Despite strong recommendations, no logging has been attempted before in holes drilled on the continental margin areas where such techniques might reasonably be expected to produce worthwhile results. These logs will ideally be a complete and continuous record of the interval surveyed, will provide valuable correlative information against cores, back-up information for the seismic record, and will suggest general lithologies where no core exists. This paper highlights and comments on the degree to which these logs succeed in their objectives and suggests alternative tools and techniques that might be used in the future. Recording the logs digitally at the well site has enabled the full interplay of computer techniques to be used to help in the analysis. Valuable additional information from the logs suggests re-examination and further analyses of the core material.


2012 ◽  
Vol 1 (2) ◽  
pp. 73-81 ◽  
Author(s):  
George Najjir ◽  
Philip Love ◽  
Goran Runeson

This paper examines issues of the global construction environment. The core theses developed is that globalization will create a new construction industry. A conceptual framework initiates discussion in relation to four selected perspectives vis. neo-classic theory; a comparison with manufacturing; construction industry development; and ownership structure. Conclusions drawn indicate that analysis is only just emerging, and that future examination will require a shift in current understanding so as to consider the global firm as operating in a new and totally separate market.


2019 ◽  
Vol 45 (1) ◽  
pp. 137-161 ◽  
Author(s):  
Johann-Mattis List

Sound correspondence patterns play a crucial role for linguistic reconstruction. Linguists use them to prove language relationship, to reconstruct proto-forms, and for classical phylogenetic reconstruction based on shared innovations. Cognate words that fail to conform with expected patterns can further point to various kinds of exceptions in sound change, such as analogy or assimilation of frequent words. Here I present an automatic method for the inference of sound correspondence patterns across multiple languages based on a network approach. The core idea is to represent all columns in aligned cognate sets as nodes in a network with edges representing the degree of compatibility between the nodes. The task of inferring all compatible correspondence sets can then be handled as the well-known minimum clique cover problem in graph theory, which essentially seeks to split the graph into the smallest number of cliques in which each node is represented by exactly one clique. The resulting partitions represent all correspondence patterns that can be inferred for a given data set. By excluding those patterns that occur in only a few cognate sets, the core of regularly recurring sound correspondences can be inferred. Based on this idea, the article presents a method for automatic correspondence pattern recognition, which is implemented as part of a Python library which supplements the article. To illustrate the usefulness of the method, I present how the inferred patterns can be used to predict words that have not been observed before.


2018 ◽  
Vol 51 ◽  
pp. 95-104 ◽  
Author(s):  
Martin Bouchard ◽  
Sadaf Hashimi ◽  
Kristen Tsai ◽  
Hugh Lampkin ◽  
Ehsan Jozaghi

2012 ◽  
Vol 9 (2) ◽  
pp. 94-105
Author(s):  
Ioraver Nyenger Tsegba ◽  
John Iorpenda Sar

The main purpose of this study is to ascertain whether alternative corporate ownership and control structures give rise to significant differential firm performance in light of Nigeria’s conflicting polices regarding the ownership structure of the state owned enterprises. The data obtained from a sample of 73 companies listed on the Nigerian Stock Exchange is analyzed through the Wilcoxon ranks tests for two independent samples. The evidence obtained suggests that firms with foreign ownership and control outperform their indigenous counterparts. However, firms controlled by single shareholders do not perform better than those controlled by multiple shareholders. The study recommends that foreign ownership and control of Nigerian firms be encouraged due to their affirmative features, while single shareholder control of firms, embedded in the core investor mode of ownership, is reconsidered.


Author(s):  
Lai Hang Kwan ◽  
Siew Jing Chia ◽  
Rickson Khor ◽  
Teck Hou Wong ◽  
Yuan Xulin ◽  
...  

The aim of this study is to determine the factors affecting the usage of Guest Empowerment Technologies (GET) in hotels among hotel visitors in Labuan, Malaysia. The research used multiple regression for data analysis across a sample of 225 respondents who stayed in hotel at least once in a year. Their participation was voluntarily. Results confirmed that the core factor affecting users' intention to use of GET is perceived usefulness. Meanwhile, all variables are proven to be significant to each other and perceived usefulness had the strongest influencing on the users' intention to use of GET. The findings provide additional information to the hotels for further understanding their consumers' characteristics in hotels. Having this information, the proposed framework can be use as the basis for further research.


Publications ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 38
Author(s):  
Miguel-Ángel Esteban-Navarro ◽  
Antonia-Isabel Nogales-Bocio ◽  
Miguel-Ángel García-Madurga ◽  
Tamara Morte-Nadal

The proliferation of fact-checking services is a fast-growing global phenomenon, especially in Western countries. These services are the response of journalism to disinformation, that has transformed a common internal procedure of journalistic work in the core of a business directed to the general public, also offered to the companies of mass media and social media. Literature review shows that the research on fact-checking has focused on the origin, funding, relationship with the media, procedures, and experiences related to politics and COVID-19. However, the ownership structure of the fact-checking services has been superficially analysed and the business model of these platforms has not yet been studied in detail and depth. The objective of this article is to identify and analyse the business model of the nine Spanish active fact-checking services through a documentary research of public information sources and the information that these services give about themselves. This paper explains their ownership structure and income provenance, from open information sources. The findings are that the fact-checking services that depend on media groups are no strangers to the trend of opacity usual in these groups, but in the case of fact-checking services that are born as initiatives of journalists, the trend towards transparency is, in the majority of cases, clear. However, the information provided by the Spanish fact-checking services is deficient and does not allow us to discover their business models, except in the case of Newtral and, to a certain extent, Maldita.


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