Problem Identification and CLBDM
Hassan Qudrat-Ullah
Chapter Chapter 4 in Creativity Loops–Based Decision Making, 2024, pp 91-108 from Springer
Abstract:
Abstract Problem identification and clarity is the first step of Creative Loop–Based Decision Making (CLBDM), a framework that combines systems thinking and creative decision making to solve complex problems. In this chapter, we explore how CLBDM can provide a holistic and systemic perspective of the problem situation, revealing its underlying causes, effects, feedback loops, and leverage points. We use Causal Loop Diagrams (CLDs), a tool of systems thinking, to create feedback loops that can reveal the dynamics and complexity of systems problems, as well as the potential creative solutions that can address them effectively. We use some examples from the field of climate change and human health to illustrate how systems thinking can improve our problem identification and clarity skills. We hope that this chapter will inspire you to use systems thinking as a powerful tool for problem identification and clarity in your creative decision-making process.
Keywords: Systems thinking; Problem identification and clarity; Creative Loop–Based Decision Making (CLBDM); Causal Loop Diagrams (CLDs); Feedback loops; Leverage points; Climate change and human health; Systems problems; Dynamic thinking; Root causes; Creative thinking (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-70270-9_4
Ordering information: This item can be ordered from
http://www.springer.com/9783031702709
DOI: 10.1007/978-3-031-70270-9_4
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().