Data · dataset · 2010
A Multi-Level Investigation of Corporate Political Influence
Listed in Harvard Dataverse
Studies of inter-corporate influence have focused on structural, rather than relational, modes of organizational interaction.
Description
That is, inter-corporate influence is assumed to be a function of relationships between firms’ industries rather than of dyadic relationships between the firms themselves. Our study critiques and expands on one such stream of research (Mizruchi 1992; Mizruchi & Marquis 2006) by focusing on relational predictors of influence in a study of similarity of corporate political action among large U.S. firms.
We show that relational size is a key determinant of behavioral similarity, and that this mechanism varies across industry relationships. Implications of these findings, as well as the general importance of relational versus structural theories of influence, are discussed.
Links
Where it is published
- Dataverse dataset page dataverse.harvard.edu/dataset.xhtml?persistentId=doi%3A10.7910%2FDVN%2FFMLHTQ ↗
landing page · from Harvard Dataverse
- DOI doi.org/10.7910/dvn/fmlhtq ↗
DOI / persistent id · from Harvard Dataverse
Catalogue records · 1
- Dataverse API dataverse.harvard.edu/api/datasets/:persistentId/?persistentId=doi%3A10.7910%2FDVN%2… ↗
metadata API · from Harvard Dataverse
Provenance · 1 source records, 6 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Harvard Dataverse | doi:10.7910/DVN/FMLHTQ | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| created_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| description | source · Harvard Dataverse | connector:dataverse@1.0.0 | /description |
| publication_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| title | source · Harvard Dataverse | connector:dataverse@1.0.0 | /name |
| updated_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| version_label | source · Harvard Dataverse | connector:dataverse@1.0.0 |