Deborah Lines Andersen
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Deborah Lines Andersen has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Luis Felipe Luna Reyes
University at Albany
2 shared publications - David F. Andersen
Department of Public Administration, Rockefeller College of Public Affairs and Policy, University at Albany, State University of New York, 1400 Washington Avenue, Albany, NY 12222, USA
1 shared publication - Djoko Sigit Sayogo
University of Muhammadiyah at Malang
1 shared publication - Giri Kumar Tayi
Massry School of Business, State University of New York at Albany, Albany, NY 12222, USA
1 shared publication - Holly Jarman
University of Michigan School of Public Health
1 shared publication - Jing Zhang
Clark University
1 shared publication
Latest Publications
- 19 December 2014
- Published by Springer Nature in Information Technology and Management
- Vol. 16 (1) , 5-18
Challenges and requirements for developing data architecture supporting integration of sustainable supply chains
- 19 December 2014
- Published by Springer Nature in Information Technology and Management
- Vol. 16 (1) , 5-18
Challenges and requirements for developing data architecture supporting integration of sustainable supply chains
- Top Cited Papers
- 1 December 2003
- Published by Wiley in System Dynamics Review
- Vol. 19 (4) , 271-296
Collecting and analyzing qualitative data for system dynamics: methods and models
System dynamics depends heavily upon quantitative data to generate feedback models. Qualitative data and their analysis also have a central role to play at all levels of the modeling process. Although the classic literature on system dynamics strongly supports this argument, the protocols to incorporate this information during the modeling process are not detailed by the most influential authors. Data‐gathering techniques such as interviews and focus groups, and qualitative data analysis techniques such as grounded theory methodology and ethnographic decision models could have a strong, critical role in rigorous system dynamics efforts. This article describes some of the main qualitative, social science techniques and explores their suitability in the different stages of the modeling process. Additionally, the authors argue that the techniques described in the paper could contribute to the understanding of the modeling process, facilitate communication among modelers and clients, and set up a methodological framework to promote constructive discussion around the merits of qualitative versus quantitative modeling. Copyright © 2003 John Wiley & Sons, Ltd.
- 1 December 2003
- Published by Wiley in System Dynamics Review
- Vol. 19 (4) , 271-296
Top Cited PapersCollecting and analyzing qualitative data for system dynamics: methods and models
System dynamics depends heavily upon quantitative data to generate feedback models. Qualitative data and their analysis also have a central role to play at all levels of the modeling process. Although the classic literature on system dynamics strongly supports this argument, the protocols to incorporate this information during the modeling process are not detailed by the most influential authors. Data‐gathering techniques such as interviews and focus groups, and qualitative data analysis techniques such as grounded theory methodology and ethnographic decision models could have a strong, critical role in rigorous system dynamics efforts. This article describes some of the main qualitative, social science techniques and explores their suitability in the different stages of the modeling process. Additionally, the authors argue that the techniques described in the paper could contribute to the understanding of the modeling process, facilitate communication among modelers and clients, and set up a methodological framework to promote constructive discussion around the merits of qualitative versus quantitative modeling. Copyright © 2003 John Wiley & Sons, Ltd.