Knowledge Management and Organizational Learning: Strategies for Continuous Improvement
A special issue of Administrative Sciences (ISSN 2076-3387). This special issue belongs to the section "Organizational Behavior".
Deadline for manuscript submissions: 30 June 2026 | Viewed by 17
Special Issue Editor
Special Issue Information
Dear Colleagues,
In recent years, technology has led to the increased use of Artificial Intelligence (AI) in many areas, providing a way to improve efficiency and organizational performance. AI is widely considered a crucial tool in sectors such as marketing and manufacturing, but adverse effects must be considered for its effective integration into organizational operations. While there may be concerns regarding the applications of AI (e.g., job displacement), it is essential to acknowledge the potential opportunities AI can offer (Sato & Kameya, 2001). One promising application of AI is its ability to facilitate information and knowledge management because of its capability in analyzing big data more efficiently and effectively by using cognitive search technology. Cognitive search technology can help AI-driven knowledge management systems to obtain relevant data quickly and easily. This makes it possible to comprehend difficult and complicated queries more effectively and to produce more reliable results, as well as to detect early patterns that human practitioners may have otherwise missed (Bahoo et al., 2024).
AI has proven to enhance efficiency, problem-solving capabilities, and decision-making processes in crucial areas such as healthcare, finance, marketing, manufacturing, and more. That said, an in-depth analysis is needed because AI and other business developments, such as organizational sustainability, blockchain, and self-supervised e-learning, etc., do not function independently (Prikshat et al., 2023). The interconnected nature of AI with business aspects requires a comprehensive investigation.
This Special Issue aims to integrate AI and knowledge management, with a focus on enhancing knowledge creation, storage, retrieval, sharing, and utilization within organizations. The themes will involve leveraging AI technologies to address challenges and explore opportunities in the areas mentioned above, streamline decision-making process, promote organizational innovations, and facilitate continued improvements.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- AI integration with knowledge management processes (e.g., knowledge creation, retrieval and storing, sharing, and applications);
- The impact of AI-driven knowledge management on organizational competencies;
- AI and knowledge collaboration across organizations;
- Applications of AI in business operations and innovation;
- Roles of AI vs. humans in organizational knowledge management.
I look forward to receiving your contributions.
References
- (Sato & Kameya, 2001) Sato, T and Kameya, Y. 2001. Parameter learning of logic programs for symbolic-statistical modeling. Journal of Artificial Intelligence Research, 15: 391-454.
- (Bahoo et al.,2024) Bahoo, S., Cucculelli, M., Goga, X. and Mondolo, J. 2024. Artificial Intelligence in Finance: A Comprehensive Review through Bibliometic and Content Analysis. SN Business and Economics, 4 (23): 1-46.
- (Prikshat et al., 2023) Prikshat, V., Islam, M., Patel, P., Malik, A., Budhwar, P. and Gupta, S. 2023. AI-Augmented HRM: Literature Review and A proposed Multilevel Framework for Future Research. Technological Forecasting and Social Change, 193: 1-19.
Prof. Dr. Kuei-Hsien Niu
Guest Editor
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Keywords
- artificial intelligence
- knowledge management
- innovation
- organizational competence
- knowledge creation
- knowledge sharing
- knowledge retrieval
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