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The objective of this paper is to offer a validated framework for the analysis of (future) risks and uncertainties involved in the decision‐making process concerning the upgrade and roll‐out of large infrastructural projects, e.g. broadband networks. The framework classifies risks and uncertainties based on the nature of the risks, levels and sources.

The approach takes the form of conceptual as well as qualitative and quantitative empirical analyses.

Telecommunications operators are faced with various types of risks and uncertainties in their decision‐making process concerning the upgrade and roll‐out of their broadband networks. In one respect, these risks and uncertainties have to do with the characteristics of large infrastructural projects, while, on the other hand, being caused by (unknown) competitor behaviour, (unknown) end‐user demand, rapid technological development and different development paths available to operators. Framing risks and uncertainties into a typology provides greater insight into the categories, characteristics and sources of the risks and uncertainties, as well as being a first step in finding ways to deal with them.

The paper presents and validates a framework for the analysis of risks and uncertainty. It also offers empirical data on how operators manage risk and uncertainties.

The purpose of this research is to create insight into the way technological, economic or regulatory factors affect broadband rollout in the local loop with the objective of developing a conceptual model that will help us gain insight into critical relationships between these factors and the decision to broadband infrastructure investments, implementation and broadband rollout in the local loop.

To develop a conceptual framework the study used three research methods. A meta‐analysis was conducted to collect and analyze relevant existing literature that discusses broadband rollout in the local loop. Content analysis was used to analyze hypothesis and propositions and network analysis was used to analyze the data extracted from the literature.

The network found provides a valid picture of the complexity involved in broadband rollout. The combination of research methods used has resulted in an approach that is both practical and robust when it comes to describing the state‐of‐the‐art in a coherent and clear way.

One has to consider that broadband is a relative concept. The definition of broadband has changed during the period in which the papers were published (1992‐2004).

Networks, and thus network analysis, always reflect the choice made by the researcher with regard to the key concepts. If the study had started from other dependent variables (nodes in the network), it would have found a different network.

This paper presents a theoretical framework based on a meta‐analysis of existing research with regard to broadband roll out in the local loop. Until now, a coherent theory has been lacking. Most research is based on implicit assumptions or on economic/econometric models that are insufficiently explained.