Research Topic

Knowledge and Innovation Management

About this Research Topic

Technology and digitalization are transforming not only the way people work but also organizational structures and priorities. Today’s organizations are converging into data-driven organizations with specific needs and opportunities. Digital transformation has redefined how organizations generate data and accentuate on technological innovation and digital productivity. In order to support the digitally transformed organizations and their journey towards it, method approaches such as Knowledge Management (KM) need to be further developed and adapted.
Nowadays, internationally agreed standards and regulations (ICH Guidelines 8-10 and ISO 30401) provide a better structure and a stronger foundation for the expansion of this multidisciplinary field. Knowledge managers and knowledge researchers from academia and industry should work together and bridge the gap between research and practice by combining scientific knowledge with practical experience.

Topics of interest include the following categories:
- KM strategy (knowledge, competitive advantage, capability);
- Artificial intelligence (AI) (model, system, information, IT, etc.);
- Organizational change (innovation, content management, coordination);
- KM process (sustained innovation, collaboration culture/behavior, systematic asset reuse);
- KM application (organizational performance, research and development) etc.
- Research methods include conceptual model, framework strategy, case study, secondary data, organizational analysis, new trends.

Submissions can be both technology-centered and human-focused.


Keywords: knowledge management, innovation management, management, artificial intelligence, KM strategy


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

Technology and digitalization are transforming not only the way people work but also organizational structures and priorities. Today’s organizations are converging into data-driven organizations with specific needs and opportunities. Digital transformation has redefined how organizations generate data and accentuate on technological innovation and digital productivity. In order to support the digitally transformed organizations and their journey towards it, method approaches such as Knowledge Management (KM) need to be further developed and adapted.
Nowadays, internationally agreed standards and regulations (ICH Guidelines 8-10 and ISO 30401) provide a better structure and a stronger foundation for the expansion of this multidisciplinary field. Knowledge managers and knowledge researchers from academia and industry should work together and bridge the gap between research and practice by combining scientific knowledge with practical experience.

Topics of interest include the following categories:
- KM strategy (knowledge, competitive advantage, capability);
- Artificial intelligence (AI) (model, system, information, IT, etc.);
- Organizational change (innovation, content management, coordination);
- KM process (sustained innovation, collaboration culture/behavior, systematic asset reuse);
- KM application (organizational performance, research and development) etc.
- Research methods include conceptual model, framework strategy, case study, secondary data, organizational analysis, new trends.

Submissions can be both technology-centered and human-focused.


Keywords: knowledge management, innovation management, management, artificial intelligence, KM strategy


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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Submission Deadlines

30 June 2020 Abstract
31 August 2020 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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Topic Editors

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Submission Deadlines

30 June 2020 Abstract
31 August 2020 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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