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A Multi-Criteria Approach to Decision Making in Broadband Technology Selection

Marco Araújo (), Love Ekenberg (), Mats Danielson () and João Confraria ()
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Marco Araújo: Stockholm University
Love Ekenberg: Stockholm University
Mats Danielson: Stockholm University
João Confraria: Católica Lisbon School of Business & Economics

Group Decision and Negotiation, 2022, vol. 31, issue 2, No 6, 387-418

Abstract: Abstract A new European Union regulatory framework for the telecom sector has been under a process of transposition to national laws by its member states that should have been completed by the end of 2020, notwithstanding some delays. A core purpose of the regulatory framework is to guarantee that most citizens will have access to very fast Internet connections, capable of 100 Mbps download link speed, regardless of where they live. According to this new framework, in areas where the market does not deliver, governments are to launch public tenders for the deployment, maintenance, and operations of network infrastructure as well as services, and public funds should be used to support the deployment of these broadband networks in less densely populated areas. Needless to say, public tenders of this nature are subject to different criteria when it comes to candidate evaluation. In this paper, we present a decision model for the selection of operators to deploy and maintain broadband networks in scarcely populated areas, taking into consideration infrastructure costs, the technical quality offered by the solutions, and the credibility of the candidates. We suggest an integrated multi-stakeholder multi-criteria approach and demonstrate how it can be used in this complex area and find that in the example provided, taking a relevant set of criteria into the analysis, optical fibre networks hold much higher chances to be used in these public tenders compared to networks based on the broadly favoured 5G technology.

Keywords: Multiple criteria decision making; DecideIT decision tool; Procurement; Real options; Broadband technologies; MAVT; Surrogate weights; Telecom operator selection problem (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10726-021-09772-9

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