Elective Knowledge Management

Knowledge Management notes

5 chapter notes, in syllabus order. Each starts with the key points.

Unit 1 · 9 hrs

Knowledge Management: Definitions, Evolution & Core ConceptsUnit 1 of Knowledge Management explores the foundational concepts of KM, its historical evolution from tacit to explicit knowledge, key theories (Nonaka-Takeuchi, Polanyi), and how organizations leverage KM frameworks (SECI model, Ba theory) to create competitive advantage. Real-world applications in Nepali tech (eSewa14 min read

Unit 2 · 9 hrs

Org Structures, Culture & KM: How Firms Store & Share KnowledgeUnit 2 of Knowledge Management explores how organizational structures, cultures, and processes enable or hinder knowledge creation, storage, and sharing—with real-world examples from Nepali and global firms, visual models of hierarchy vs. networks, and case studies of KM failures/successes.9 min read

Unit 3 · 10 hrs

IT & Telecom in Knowledge Management: Tools, Systems & ImpactUnit 3 of Knowledge Management explores how information technology (IT) and telecommunications enable knowledge creation, sharing, and utilization in organizations, covering digital tools, networks, and real-world applications like eSewa’s transaction systems or Daraz’s supply chain analytics.11 min read

Unit 4 · 8 hrs

Knowledge Strategy Components & Case Studies: Models, Tools & Real-World ApplicationsUnit 4 of Knowledge Management explores the core elements of a knowledge strategy—knowledge repositories, taxonomies, communities of practice, and knowledge-sharing tools—through case studies of Nepali and global companies, linking theory to practical implementation in IT, finance, and service sectors.9 min read

Unit 5 · 9 hrs

Advanced KM Topics & Case Studies: AI, KM Systems, Ethics & Future TrendsUnit 5 of Knowledge Management explores cutting-edge applications like AI-driven KM, knowledge management systems (KMS) architectures, ethical dilemmas in KM, and real-world case studies from Nepali and global firms, linking theory to practical challenges in digital transformation, data privacy, and organizational lear8 min read