Hardback
Causal Knowledge Analytics
A New Methodology for Business and Social Science Scholars
9781035353149 Edward Elgar Publishing
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.
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Critical Acclaim
More Information
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.
By converting knowledge into computable formats, Causal Knowledge Analytics enables scholars to harness digital capabilities for literature processing. The authors apply this new methodology to a set of publications in the information systems field, integrating advanced techniques such as graph theory, network analysis, natural language processing and machine learning methods. They also explore machine learning and computational techniques which help automate and expedite literature processing, enabling scholars to reach the knowledge frontier more efficiently.
Causal Knowledge Analytics is a fundamental resource for business and social science scholars. Students in business and management will also benefit from the book’s theoretical and practical insights.
By converting knowledge into computable formats, Causal Knowledge Analytics enables scholars to harness digital capabilities for literature processing. The authors apply this new methodology to a set of publications in the information systems field, integrating advanced techniques such as graph theory, network analysis, natural language processing and machine learning methods. They also explore machine learning and computational techniques which help automate and expedite literature processing, enabling scholars to reach the knowledge frontier more efficiently.
Causal Knowledge Analytics is a fundamental resource for business and social science scholars. Students in business and management will also benefit from the book’s theoretical and practical insights.
Critical Acclaim
‘In today’s fast-paced world of knowledge production, an innovative approach to systematically coding, analyzing, and representing causal knowledge is essential. This book provides clear explanations, methods, and tools to support knowledge accumulation in any discipline, with practical examples from Information Systems research.’
– Leona Chandra Kruse, University of Agder, Norway
– Leona Chandra Kruse, University of Agder, Norway
