Human-artificial intelligence interactions in knowledge ecosystems

Closes:

Introduction:

Our world has entered into a new digital era riddled with unprecedent challenges consisting of deteriorating market uncertainty, cross-national conflicts, climate change, coupled with astonishing progress of artificial intelligence (AI) technologies. This leads to a sharp rise in the demands for new knowledge created by not only humans but also the complex interactions of AI and human intelligence (HI). In response, global organizations are propelled to build knowledge ecosystems for more quickly adapt to these novel, digital-induced transformations (Cobben et al., 2022; Chin et al., 2024).  

To a certain extent, this trend has ushered the hybrid artificial and human intelligence into the knowledge management domain because AI-based algorithms as very efficient strategic tools enable knowledge managers to instantaneously evaluate, scan and deal with millions of data knowledge and thereby conduct strategic innovation in a more precise and systemic manner.     
The concept of knowledge ecosystem (KE) defines a community of practice based on bottom-up, networked, and dynamic processes (Maracine & Scarlat, 2009; Van der Borgh et al., 2012).  Distinct from business ecosystem (Moore, 1996), innovation ecosystem (Adner, 2006), and entrepreneurial ecosystem (Bejjani et al., 2023), the KE depict an open business platform akin to biological systems where participators can tightly or loosely interact with one another to co-create economic and social value through sharing sets of technological devices and networking architectures (Öberg & Lundberg, 2022; Chin et al., 2022; Van der Borgh et al., 2012).

The KE embodies unconventional orchestrations to generate knowledge, economic wealth and societal prosperity simultaneously at all the levels.  Such a configuration suggests high complexity, variability, and ambiguity levels for the research at the intersection of the KE, the AI-HI integration, and strategic innovation.  Viewed from this angle, the modern management practices of KEs are contingent on the application of sophisticated AI-based technologies to manage the intricate coordinating, networking, and orchestrating among stakeholders with manifold cultural and institutional logics as well as across diverse levels of analysis (e.g., national, industrial, organizational and individual levels). This signifies the imperative to explore fresh ideas and novel topics at the confluence of KE, AI-HI interactions, and strategic innovation. Considering the nascency of the relevant phenomenon addressed above, it requires a deeper, more comprehensive investigation and unorthodox use to more profoundly understand the dynamic mechanisms between KEs and AI-HI integration for strategic innovation.  

This Special Issue, therefore, encourages authors to conduct a fundamental re-thinking on relevant issues from broader, multiple, or interdisciplinary perspectives in a special era like the knowledge economy and Artificial Intelligence; we also expect authors to provide fresh evidence and new insights that are instrumental in bridging the gap between theory and practice and sincerely invite submissions related.    

List of Topic Areas:

  • AI-HI integration
  • Knowledge ecosystems
  • Digital transformation
  • Knowledge management
  • Interdisciplinary research

Guest Editors: 

Tachia Chin, Zhejiang University of Technology, China, [email protected] 

Ingyu Oh, Kansai Gaidai University, Japan, [email protected]  

I.M. Jawahar, University of New Mexico, USA, [email protected]

Chris Rowley, University of Oxford, UK, [email protected]
 

Submissions Information:

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Authors should select (from the drop-down menu) the special issue title at the appropriate step in the submission process, i.e. in response to ““Please select the issue you are submitting to”. 

Submitted articles must not have been previously published, nor should they be under consideration for publication anywhere else, while under review for this journal.

Key Deadlines:

Opening Date: 22nd of October 2024
Closing Date: 22nd of March 2025