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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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Downloads: (external link)
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 Downloads
Yuanyuan Song, Richard T. Watson and Xia Zhao
Ch 2 Comparing CKA with AI Downloads
Yuanyuan Song, Richard T. Watson and Xia Zhao
Ch 3 Knowledge digitization Downloads
Yuanyuan Song, Richard T. Watson and Xia Zhao
Ch 4 Methodology foundations Downloads
Yuanyuan Song, Richard T. Watson and Xia Zhao
Ch 5 Analysis framework for causal knowledge analytics Downloads
Yuanyuan Song, Richard T. Watson and Xia Zhao
Ch 6 Illustration of causal knowledge analytics Downloads
Yuanyuan Song, Richard T. Watson and Xia Zhao
Ch 7 The future of causal knowledge analytics Downloads
Yuanyuan Song, Richard T. Watson and Xia Zhao

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