International business growth: the leveraging effect of collaborative research networks capabilities

Bruno F. Abrantes et al.

International Journal of Business Competition and Growth2024https://doi.org/10.1504/ijbcg.2024.142848article
AJG 1
Weight
0.50

What the paper says

In this research, we examine the capabilities built by multinational enterprises (MNEs) in a consortium and the performance implications of such capability-building on international business growth. We followed a research avenue with a sparse scholarly track, as one delved into a subset of network-types (CRNs) on a certain organisational-typology (i.e., consortiums); and furthermore exploring it within the energy sector in EU. The methodological procedure (content analysis) allowed us the building of a road-map of international business competences (IBC) gained by these multinational enterprises (MNEs) and their effects on their international business growth (IBG). Open and axial coding, and an inferential exercise upon data outputs, uncovered a new form of collaborative networks (CN) amalgamating features of atomised and piloted CNs.

1 citation

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1504/ijbcg.2024.142848

Or copy a formatted citation

@article{bruno2024,
  title        = {{International business growth: the leveraging effect of collaborative research networks capabilities}},
  author       = {Bruno F. Abrantes et al.},
  journal      = {International Journal of Business Competition and Growth},
  year         = {2024},
  doi          = {https://doi.org/https://doi.org/10.1504/ijbcg.2024.142848},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

International business growth: the leveraging effect of collaborative research networks capabilities

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.49 × 0.4 = 0.19
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.