Causal-loop diagrams, a method of documenting non-linear cause/effect relationships, have been used in systems thinking and, in particular, system dynamics for some time. However, their use is still controversial though they have been found to be useful in developing an understanding of complex, non-linear systems. These systems encompass many organizational and social problem areas. Although causal-loop diagrams have been used by both consultants and practitioners to understand problem areas within organizations, they appear to have been little used in information systems research (or any other discipline of research). This paper provides a critical reflection of the use of causal-loop diagrams within information systems research. It finds...
Experienced system dynamicists commonly conceptualise causal relationships and feedback loops using ...
Abstract: From their inception, causal systems models (more commonly known as structural-equations m...
Causal Mapping for Research in Information Technology provides an introduction to causal mapping for...
Causal-loop diagrams, a method of documenting non-linear cause/effect relationships, have been used ...
The causal loop diagrams, a simple way to map the interactive elements in feedback systems, were fi...
As simple visual diagrams of key dynamics in complex systems, causal-loop diagrams could meet known ...
Polarity and causality are important concepts but have not received much attention in the system dyn...
Causal diagrams, as used in the field of System Dynamics, are important tools for describing the str...
Purpose – This paper aims to propose a method to assist organisations to develop their causal models...
Causal loop diagrams (CLDs) are a systems thinking method that can be used to visualize and unpack c...
This article develops a new approach for constructing causal maps called the Collective Causal Mappi...
It has been stated that the notion of cause and effect is one object of study that sciences and engi...
Causal analysis techniques have been widely used in business research, but many Information Systems ...
It is becoming increasingly recognised that a cognitive view of the individual user executing variou...
Information systems are widely used to map and chart organisational activities for management to mot...
Experienced system dynamicists commonly conceptualise causal relationships and feedback loops using ...
Abstract: From their inception, causal systems models (more commonly known as structural-equations m...
Causal Mapping for Research in Information Technology provides an introduction to causal mapping for...
Causal-loop diagrams, a method of documenting non-linear cause/effect relationships, have been used ...
The causal loop diagrams, a simple way to map the interactive elements in feedback systems, were fi...
As simple visual diagrams of key dynamics in complex systems, causal-loop diagrams could meet known ...
Polarity and causality are important concepts but have not received much attention in the system dyn...
Causal diagrams, as used in the field of System Dynamics, are important tools for describing the str...
Purpose – This paper aims to propose a method to assist organisations to develop their causal models...
Causal loop diagrams (CLDs) are a systems thinking method that can be used to visualize and unpack c...
This article develops a new approach for constructing causal maps called the Collective Causal Mappi...
It has been stated that the notion of cause and effect is one object of study that sciences and engi...
Causal analysis techniques have been widely used in business research, but many Information Systems ...
It is becoming increasingly recognised that a cognitive view of the individual user executing variou...
Information systems are widely used to map and chart organisational activities for management to mot...
Experienced system dynamicists commonly conceptualise causal relationships and feedback loops using ...
Abstract: From their inception, causal systems models (more commonly known as structural-equations m...
Causal Mapping for Research in Information Technology provides an introduction to causal mapping for...