A qualitative method for evaluating influence diagrams, which are also know as causal loop diagrams. Re-enforcing and balancing loops are identified in the diagram, and causal loop analysis is the process of analyzing their interactions and the possible effects of loops and delays on the dynamic behavior of the problem. Roberts (1994) provides extensive coverage on this subject.
Published in Chapter:
Developing a Dynamic View of Broadband Adoption
Herbert Daly (Brunel University, UK), Adriana Ortiz (TECNUN University of Navarra, Spain), Yogesh K. Dwivedi (Swansea University, UK), Ray J. Paul (Brunel University, UK), Javier Santos (TECNUN University of Navarra, Spain), and Jose M. Sarriegi (TECNUN University of Navarra, Spain)
Copyright: © 2008
|Pages: 15
DOI: 10.4018/978-1-59904-851-2.ch020
Abstract
The widespread domestic use of broadband Internet technology has been recognized to have a positive influence on national economies and improve the life of citizens. Despite substantial investment to develop the infrastructure, many countries have experienced slow adoption rates for broadband. This chapter develops a view of UK broadband adoption using dynamic modeling techniques based on an existing statistical study. The contrasting approaches to modeling are compared. Principles of a dynamic modeling system are introduced and an appropriate form for broadband adoption chosen. The process of building a dynamic model based on an existing static model of broadband adoption is presented. Finally, the new perspective of the dynamic model is explored using the causal loop analysis technique.