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Regulatory policies in relation to metrics and data collection for measuring the emergent Internet

Hallingby, Hanne Kristine, Elaluf-Calderwood, Silvia, Hartviksen, Gjermund and Sørensen, Carsten ORCID: 0000-0002-2002-9383 (2013) Regulatory policies in relation to metrics and data collection for measuring the emergent Internet. In: TPRC 2013: 41st Research Conference on Communication, Information and Internet Policy, 2013-09-26 - 2013-09-29, DC, United States, USA.

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The Internet is currently undergoing a major process of change and transformation. It is moving away from a basic model of layered architecture to a modular architecture with integrated provisioning of digital services and products to users (Garud, Kumaraswamy et al. 2003; Clark 2004; Fransman, 2010 and Yoo 2010). Furthermore traffic volumes and asymmetry of traffic information available for analysis makes it difficult to gain a full overview of and understand these changes (Hallingby et al, 2012 and Liebenau et al, 2012). Hence studying Internet as a whole is difficult, and there are many issues with data collection, with the academic and commercial literature providing plenty of references to such problems. The analysis is made even more complicated when trying to address medium and long-term sustainability of the telecom and Internet industries (Yoo, 2012). Value creation and capturing is a growing challenge to Internet ecosystem stakeholders, seeking to re-innovate a sustainable system. Hence the emergent Internet also changes the actions of national and regional regulators. Regulators are normative acting on behalf of consumers and ensuring adequate investments in society critical infrastructure (FCC, 2011). Their goals are to provide mediation using competition laws and rules as the recent French case Cogent vs. France Telecom shows (ARCEP, 2012b). This is particularly due to fast convergence of Internet and telecom. The transforming state of Internet has led many regulators around the world to make efforts to collect data for such regulatory purposes but with variable degree of success. Thus measuring Internet remains a huge challenge, and we will suggest some ways forward in this paper. Norway is a relatively small country “in the world of the emergent Internet” (Hallingby and Erdal, 2011). However the size and other aspects of the Nordic culture (e.g. openness to accountability, sense of community at all levels of society, etc.) have created an environment in which the national regulator (NPT) has multiple sources of data (NPT, 2012b), and also with correlated Internet data that are collected by diverse institutions. This has resulted in a clear and well explained ability to describe the Norwegian Internet (Hallingby and Erdal, 2011). There is also a culture of regulatory pro-active engagement with changes to the earliest emerging of issues e.g. CDNs legal forms (NPT, 2012a). This article discusses possible type of metrics required to explain the link between Internet network measures and Internet economic variables. First of all we are describing the emerging Internet in Norway, also indicating a more generic change supporting the modularity observed elsewhere. Second, and more important for the purpose of this article, we believe the metrics displayed are very valuable to companies, users, regulators and any other stakeholders. Specifically, we show the case of Norway as an example of the type of knowledge that may be developed, how these mappings can be performed, the scope and limitations of such methodology, and how it can be used by regulatory authorities to monitor but not obstruct the development of business activities. Finally, we also review the usefulness of this type of measurement in the context of a recent regulatory analysis of CDNs in Norway.

Item Type: Conference or Workshop Item (Paper)
Official URL:
Additional Information: © 2013 The Author(s)
Divisions: Management
Subjects: H Social Sciences > HC Economic History and Conditions
H Social Sciences > HD Industries. Land use. Labor
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
JEL classification: L - Industrial Organization > L1 - Market Structure, Firm Strategy, and Market Performance > L10 - General
L - Industrial Organization > L5 - Regulation and Industrial Policy > L50 - General
L - Industrial Organization > L5 - Regulation and Industrial Policy > L51 - Economics of Regulation
L - Industrial Organization > L9 - Industry Studies: Transportation and Utilities > L96 - Telecommunications
M - Business Administration and Business Economics; Marketing; Accounting > M2 - Business Economics > M21 - Business Economics
O - Economic Development, Technological Change, and Growth > O3 - Technological Change; Research and Development > O38 - Government Policy
Date Deposited: 29 Nov 2013 12:12
Last Modified: 16 May 2024 11:08

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