Add to ORKGCausal Mapping for Research in Information Technology provides an introduction to causal mapping for IS researchers and practitioners and goes further to provide IS researchers and practitioners everything they need to use causal mapping for both research and application
Within the debate about what constitutes ‘good research’ in marketing is a need for data collection ...
Machine Learning (ML) is increasingly being adopted in Information Systems (IS) research and organiz...
Causal mapping is a tool that enables you to make sense of challenging situations so that you can ge...
Causal Mapping for Research in Information Technology provides an introduction to causal mapping for...
This paper examines the use of causal mapping as a means of modelling the way that activities may, o...
Extant literature has called for researchers to be more pluralistic in their approaches to researchi...
Software systems developments have become more difficult and complex with new technology being intro...
This article develops a new approach for constructing causal maps called the Collective Causal Mappi...
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...
Causal reasoning is central to scientific practice and to everyday life, yet has received scant atte...
This open access book explores a range of new and older systems mapping methods focused on represent...
Causal-loop diagrams, a method of documenting non-linear cause/effect relationships, have been used ...
Determining what constitutes a causal relationship between two or more concepts, and how to infer ca...
Abstract: Causal (aka cognitive) mapping emerged in the late 1970s as an innovative method for captu...
Within the debate about what constitutes ‘good research’ in marketing is a need for data collection ...
Machine Learning (ML) is increasingly being adopted in Information Systems (IS) research and organiz...
Causal mapping is a tool that enables you to make sense of challenging situations so that you can ge...
Causal Mapping for Research in Information Technology provides an introduction to causal mapping for...
This paper examines the use of causal mapping as a means of modelling the way that activities may, o...
Extant literature has called for researchers to be more pluralistic in their approaches to researchi...
Software systems developments have become more difficult and complex with new technology being intro...
This article develops a new approach for constructing causal maps called the Collective Causal Mappi...
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...
Causal reasoning is central to scientific practice and to everyday life, yet has received scant atte...
This open access book explores a range of new and older systems mapping methods focused on represent...
Causal-loop diagrams, a method of documenting non-linear cause/effect relationships, have been used ...
Determining what constitutes a causal relationship between two or more concepts, and how to infer ca...
Abstract: Causal (aka cognitive) mapping emerged in the late 1970s as an innovative method for captu...
Within the debate about what constitutes ‘good research’ in marketing is a need for data collection ...
Machine Learning (ML) is increasingly being adopted in Information Systems (IS) research and organiz...
Causal mapping is a tool that enables you to make sense of challenging situations so that you can ge...