What is he best known for?
The fields of study he is best known for:
Knowledge management, Expert system, Information system, Personal knowledge management and Knowledge engineering are his primary areas of study.
John S. Edwards combines subjects such as Empirical research and Information technology with his study of Knowledge management.
His Expert system research incorporates themes from Evidential reasoning approach, Decision engineering and R-CAST.
His studies in Information system integrate themes in fields like Information management and Artificial intelligence.
His research integrates issues of Knowledge economy and Knowledge value chain in his study of Personal knowledge management.
His studies deal with areas such as Management information systems, Knowledge base and Knowledge-based systems as well as Knowledge engineering.
His most cited work include:
- Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda (252 citations)
- Managing Flow: A Process Theory of the Knowledge-Based Firm (212 citations)
- Artificial Intelligence (AI) : Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy (163 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Knowledge management, Information system, Personal knowledge management, Process and Expert system.
His biological study spans a wide range of topics, including Business process and Risk management.
His Information system research includes themes of Information management, Information technology and Project management.
In his study, Decision engineering is inextricably linked to Management science, which falls within the broad field of Project management.
His study in the field of Knowledge elicitation is also linked to topics like Context.
Intelligent decision support system is closely connected to Decision support system in his research, which is encompassed under the umbrella topic of Expert system.
He most often published in these fields:
- Knowledge management (64.16%)
- Information system (21.39%)
- Personal knowledge management (17.34%)
What were the highlights of his more recent work (between 2013-2021)?
- Knowledge management (64.16%)
- Analytics (5.20%)
- Personal knowledge management (17.34%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Knowledge management, Analytics, Personal knowledge management, Big data and Organizational learning.
His Knowledge management research incorporates elements of Business process and Health care.
As part of one scientific family, John S. Edwards deals mainly with the area of Analytics, narrowing it down to issues related to the Business analytics, and often Competitive advantage, New product development, Absorptive capacity and Value.
His Personal knowledge management study combines topics in areas such as Object, Theme and Care process.
Big data is intertwined with Information management, Information system and Recommender system in his study.
His work deals with themes such as Domain knowledge, Knowledge engineering and Body of knowledge, which intersect with Organizational learning.
Between 2013 and 2021, his most popular works were:
- Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda (252 citations)
- Artificial Intelligence (AI) : Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy (163 citations)
- Impact of COVID-19 pandemic on information management research and practice: Transforming education, work and life (64 citations)
In his most recent research, the most cited papers focused on:
John S. Edwards mostly deals with Knowledge management, Big data, Information system, Cognitive computing and Information management.
His work on Knowledge transfer as part of general Knowledge management research is frequently linked to Survey instrument, bridging the gap between disciplines.
His Cognitive computing studies intersect with other subjects such as Artificial intelligence, Expert system, Recommender system, Human decision and Set.
His Artificial intelligence research is multidisciplinary, incorporating perspectives in Government and Supply chain.
His Information management study incorporates themes from Digital Life, Information technology and Digital transformation.
The concepts of his Risk management study are interwoven with issues in Project risk management, Personal knowledge management and Digital firm.
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