Preface: How will next-generation KMS revolutionize your business? 1. Unleashing Human Potential with Knowledge Creation Theory: Enhancing Tacit Knowledge in the Age of Generative AI for Humanizing Innovation Ayano Hirose (Nishihara) 2. Key Knowledge Management Inputs to Make Generative AI successful Zach Wahl 3. KMS and AI: Current Research and Future Direction Yixiao Zhao, Gang Liu, and Cornelius JP Niem 4. A conviviality-based Assessment of the Socio-technical Implications of GenAI on Knowledge Work André Ullrich, Martin Kirsch, Rainer Rehak, Christiaan Maasdorp, Nikolina Dragičević, and Gergana Vladova 5. A GenAI-based KMS: Conceptual Foundation and Design Muhammad Saleem Sumbal, Adeel Ahmed, Asfia Obaid, Muhammad Adnan Waseem, and Beenish Tariq 6. Design of a GenAI-based KMS in Practice Gang Liu and Haolin Li 7. AI-oriented KM Implementation Paradigm in Enterprise—RAG Qinghai Wu 8. Harnessing AI in Corporate Training: Transforming KM and Workforce Development Farzad Sabetzadeh and Chong Tang 9. New Enterprise KM Practices Driven by GenAI Jinghua Xia 10. A collaborative Journey of AI and KM at the National Insurance Institute of Israel Moria Levy, Yitzhack Sabato, Isaac Sabato, Anat Bielsky, Nurit Lin, and Zvia Hen 11. Generative AI-driven Knowledge Management Systems Deeply Empower Investment Banks Jiayun Chen and Lingling Zhang
Biography
Gang Liu is Associate Professor at the Business School, Shenzhen Technology University, China.
Jin Chen is Professor at the School of Economics and Management, Tsinghua University, China.
Eric Tsui is Professor and Senior Fellow at the Education Development Centre, Hong Kong Polytechnic University, Hong Kong, China.
