Causal Knowledge Analytics
Yuanyuan Song (),
Richard T. Watson () and
Xia Zhao ()
in Books from Edward Elgar Publishing
Abstract:
This timely book introduces causal knowledge analytics as a pioneering methodology to enhance scholarly productivity through the systematic digitization and analysis of causal knowledge. It presents a five-level framework for organizing and analysing codified causal knowledge, offering a structured approach for scholars to navigate growing literature landscapes.
Keywords: Causal Knowledge Synthesis; Knowledge Engineering; Scholarly Productivity; Knowledge Digitization; Data Analytics; Literature Review (search for similar items in EconPapers)
Date: 2025
ISBN: 9781035353149
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https://www.elgaronline.com/doi/10.4337/9781035353156 (application/pdf)
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Chapters in this book:
- Ch 1 The problem of knowledge accumulation

- Yuanyuan Song, Richard T. Watson and Xia Zhao
- Ch 2 Comparing CKA with AI

- Yuanyuan Song, Richard T. Watson and Xia Zhao
- Ch 3 Knowledge digitization

- Yuanyuan Song, Richard T. Watson and Xia Zhao
- Ch 4 Methodology foundations

- Yuanyuan Song, Richard T. Watson and Xia Zhao
- Ch 5 Analysis framework for causal knowledge analytics

- Yuanyuan Song, Richard T. Watson and Xia Zhao
- Ch 6 Illustration of causal knowledge analytics

- Yuanyuan Song, Richard T. Watson and Xia Zhao
- Ch 7 The future of causal knowledge analytics

- Yuanyuan Song, Richard T. Watson and Xia Zhao
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Persistent link: https://EconPapers.repec.org/RePEc:elg:eebook:24158
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