The Achilles heel of interconnected user networks: Network firms and the vulnerability of rapid decline

Eirik Sjåholm Knudsen and Ivan Belik

Technological Forecasting and Social Change, 2023, vol. 195, issue C

Abstract: Digital technologies have amplified firms' ability to gain and sustain competitive advantages by leveraging network effects and large user bases. They allow cheaper and better building, scaling, and operation of user networks, more efficient data collection, lower transaction costs, and ever-stronger scale advantages. Yet, the seemingly stable competitive advantage of large-scale user networks may have an “Achilles heel” that creates a strategic vulnerability. We examine this overlooked effect by studying how structural network characteristics affect the risk of rapid decline after users start to depart. We find that for user networks with small-world and scale-free properties, the departure of a few influential users can prompt strong negative network effects and accelerate the speed of a decline. To arrive at these insights, we use an analytical approach inspired by the computational networks literature to assess the impact of different structural characteristics on the likelihood of rapid collapse. Our research enriches the platform and network literature by providing fresh insights into the vulnerabilities of interconnected user networks, highlighting the risk of rapid decline. We also suggest practical implications for firms that depend on such networks for a competitive edge.

Keywords: Network effects; Competitive advantage; Network analysis; Centralities; Network failure; Social media (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/S0040162523004390
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:195:y:2023:i:c:s0040162523004390

DOI: 10.1016/j.techfore.2023.122754

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 ().