Decision support models for the selection of internet access technologies in rural communities

Authors:
Sasidhar Malladi;K. Jo Min
Affiliations:
Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA;Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA
Venue:
Telematics and Informatics
Year:
2005

Citing 1
Cited 6

Implementing telecommunications infrastructure: a rural America case

Telematics and Informatics

A decision model for selecting slightly non-homogeneous technologies

Applied Mathematics and Computation
A decision framework for supplier rating and purchase allocation: A case in the semiconductor industry

Computers and Industrial Engineering
Efficiency ranking of the OECD member states in the area of telecommunications: A composite AHP/DEA study

Telecommunications Policy
Online banking performance evaluation using data envelopment analysis and principal component analysis

Computers and Operations Research
Measuring the success possibility of implementing advanced manufacturing technology by utilizing the consistent fuzzy preference relations

Expert Systems with Applications: An International Journal
A technology selection framework for supporting delivery of patient-oriented health interventions in developing countries

Journal of Biomedical Informatics

Quantified Score

Hi-index	0.00

Visualization

Abstract

Recent developments in Internet technologies have resulted in a wide range of high-speed internet choices to rural communities. In this paper, we present decision support models to select the high-speed access technologies with different characteristics under a multiple number of performance criteria (cost quality and speed). Specifically, we first construct an analytic hierarchy process (AHP) model, which provides the overall priority weights for each access technology under the multiple criteria. Next, we examine the cases of communities pooling their budget resources for additional mutual benefit. This examination leads to a couple of mixed integer programming models to determine the optimal technology selections of the pooled communities, taking the economies of scale, homogeneity/heterogeneity of communities into consideration. Throughout this paper, the main features are illustrated via numerical examples.