Causal layered analysis enriching the innovation process
The report explores how causal layered analysis (CLA), a foresight technique, can enhance organizational innovation by providing a deeper understanding of challenges and opportunities.
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| Quick Facts | |
|---|---|
| Report location: | source |
| Language: | English |
| Publisher: |
University Of Stellenbosch |
| Authors: | Prof A Roux, Hendrik Albertus Kotze |
| Geographic focus: | Global |
Methods
The research method involved applying causal layered analysis (CLA) to the top three innovations of the last three decades to assess how these innovations address needs at different layers and their potential for enduring success.
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Key Insights
The research investigates the role of causal layered analysis (CLA) in the innovation process, proposing that CLA's depth and breadth of analysis can uncover underlying drivers of problems, expand solution sets, and identify latent needs. It suggests that successful innovations address needs at multiple levels, becoming embedded in daily life. The report applies CLA to the top three innovations of the last three decades, analyzing their success in addressing needs across four layers: the litany, social causes, worldview, and myth/metaphor.
(Generated with the help of GPT-4)
Additional Viewpoints
Categories: English publication language | Global geographic scope | causal layered analysis | cla | customer needs | foresight techniques | future orientation | futures | futures studies | idea selection | innovation | innovation model | organizational culture | scenario planning | tacit knowledge | technological advancements