Inter-organization Collaboration Utilizing AI-Driven Knowledge Management Systems
Shaheer, Muhammad; Vilko, Jyri (2025-07-29)
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Sisältö avataan julkiseksi: 30.07.2026
Sisältö avataan julkiseksi: 30.07.2026
Post-print / Final draft
Shaheer, Muhammad
Vilko, Jyri
29.07.2025
Information Technology and Systems. ICITS 2025
2025
1449
36-45
Springer, Cham
Lecture Notes in Networks and Systems
School of Business and Management
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© 2025 The Author(s), under exclusive license to Springer Nature Switzerland AG
© 2025 The Author(s), under exclusive license to Springer Nature Switzerland AG
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe20251117108726
https://urn.fi/URN:NBN:fi-fe20251117108726
Tiivistelmä
The evolving demands of the current business environment require closer cooperation between universities, professional organizations, and firms. Such interorganizational relationships can facilitate innovation and upscale organizational capacities. These collaborations can be developed, strengthened and sustained by integrating Information and Knowledge Management, Data Analytics and Artificial Intelligence. Artificial Intelligence and data analytics may be applied to collaborative work to provide quick solutions to the concerns of stakeholders, in addition to preserving and sharing knowledge on an ongoing basis. Through these cognitive technologies, organizations can also identify many issues that may arise in the future through predictive analysis and can solve them before they occur. By integrating such technologies into cooperation frameworks, it is possible to develop more efficient, innovative, and even proactive strategic partnerships. This paper provides an analysis of the practices and some challenges of such collaborations, giving a helpful blueprint for how technology can be used to enhance the efficiency of joint initiatives.
Lähdeviite
Shaheer, M., Vilko, J. (2025). Inter-organization Collaboration Utilizing AI-Driven Knowledge Management Systems. In: Rocha, A., Ferrás, C., Calvo, H. (eds) Information Technology and Systems. ICITS 2025. Lecture Notes in Networks and Systems, vol 1449. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-93103-1_4
Kokoelmat
- Tieteelliset julkaisut [1707]