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Predicting internet commercial connectivity wars: The impact of trust and operators’ asymmetry

journal contribution
posted on 2023-07-26, 14:10 authored by Alessio D’Ignazio, Emanuele Giovannetti
Early studies on forecasting the growth of the Internet suggested that its evolution could not be predicted as being simply the result of a random network formation process. Recent evidence has shown that commercial connectivity goes through cycles, due to providers regularly disconnecting their customers. We model these cycles as being a result of the providers’ limited ability to monitor their customers’ contractual compliance. Based on twelve years of quarterly observations, we estimate the impacts of key covariates on the probability of starting a connectivity war. Following a choice model approach, we use different econometric specifications to test the model implications. Our results predict that the asymmetry between customers and providers, which increases the incentives to abuse connectivity, and the history of past connections, which affects mutual trust and information asymmetries, are the main factors in determining the probability of providers starting a connectivity war, thus helping to explain the cycles that are observed in Internet connectivity.

History

Refereed

  • Yes

Volume

31

Issue number

4

Page range

1127-1137

Publication title

International Journal of Forecasting

ISSN

0169-2070

Publisher

Elsevier

Language

  • other

Legacy posted date

2017-09-26

Legacy creation date

2017-09-20

Legacy Faculty/School/Department

ARCHIVED Lord Ashcroft International Business School (until September 2018)

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