The role of network community characteristics for firms' rapid business scaling
Viacheslav Iurkov,
Mariia Koval and
Arusyak Zakaryan
Technological Forecasting and Social Change, 2023, vol. 196, issue C
Abstract:
Which factors lead to firms' massive rapid business scaling? The prior work has predominantly focused on factors inside the firm, assuming that the possession of internally controlled idiosyncratic resources and capabilities largely explains the phenomenon. We extend this work by arguing that the alliance network community in which a scaling firm is embedded represents a distinct valuable channel through which it can access and orchestrate resources needed for its rapid growth. Network communities are structural groups of firms that are densely connected internally and sparsely linked to firms in other groups. We focus on three key characteristics of network communities: size, density, and stability. We theorize that the access to and orchestration of diverse and complementary network community resources influence firm rapid scaling through the expansion, replication, and synchronization of resources and business practices. Using a sample of firms publicly traded on the North American stock exchanges and observed over 1990–2020, we find that these firms' business scaling positively relates to the size and density of their network communities, yet the relationship between firm scaling and network community stability is negative.
Keywords: Firm scaling; Alliance network; Network community; Community size; Community density; Community stability (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162523005231
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:196:y:2023:i:c:s0040162523005231
DOI: 10.1016/j.techfore.2023.122838
Access Statistics for this article
Technological Forecasting and Social Change is currently edited by Fred Phillips
More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().