Knowledge Management in the AI Era

Evolution, Challenges, and Strategic Adaptation

At its core, this work addresses critical questions: How does AI reshape what we define as knowledge? What are the risks, biases, and ethical dilemmas of relying on machine-generated insights? How can organisations balance the benefits of AI automation with the irreplaceable value of human expertise?

Artificial Intelligence (AI) is transforming the field of Knowledge Management (KM); as AI technologies rapidly evolve and permeate organisational processes, there is an urgent need for a fresh, critical examination of their impact on knowledge creation, sharing, and utilisation. At its core, this work addresses critical questions: How does AI reshape what we define as knowledge? What are the risks, biases, and ethical dilemmas of relying on machine-generated insights? How can organisations balance the benefits of AI automation with the irreplaceable value of human expertise? By weaving together these themes, the book goes beyond existing KM texts that treat AI merely as a supporting tool—it positions AI as a paradigm-shifting force redefining the entire knowledge ecosystem. The research presented here bridges theoretical foundations with practical insights to guide scholars, practitioners, and leaders navigating this profound shift. While many works focus separately on AI or KM, few comprehensively explore their intersection with attention to ethical, strategic, and organisational dimensions. This book fills that gap, providing an essential roadmap for academics researching AI’s role in knowledge processes and practitioners tasked with integrating AI into their organisational knowledge strategies. Managing Innovation in Business Strategy, Marketing and Finance has a goal of contributing to understanding the role of business innovation from the perspective of three key functional areas: strategy marketing and finance.

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