The 4 Core Change Principles

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

The 4 Core Change Principles

Coursera · Beginner ·📄 Research Papers Explained ·1mo ago
In the second of Kotter’s four essential Science of Change courses, we’ll dive into our Core Change Principles and how they can be applied to a successful transformation effort. There are 4 Core Change Principles: 1. Management + Leadership 2. Head + Heart 3. Have to + Want to 4. Select Few + Diverse Many Through interactive activities and practical exercises, you’ll learn how to apply these principles to create an environment where others are more engaged and open to change. Join Kotter and take the first steps along your learning journey into the Science of Change, beginning with our understanding of human nature and our response to threats and opportunities and the limitations of traditional organizational structures. Based on 50 years of empirical research into the Science of Change and our latest insights from our firm’s consulting work, Kotter is making change leadership more accessible than ever before with four new courses introducing learners to our methodologies and tools for successful organizational transformations.
Watch on Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

The ABCs of reading medical research and review papers these days
Learn to critically evaluate medical research papers by accepting nothing at face value, believing no one blindly, and checking everything
Medium · LLM
#1 DevLog Meta-research: I Got Tired of Tab Chaos While Reading Research Papers.
Learn to manage research paper tabs efficiently and apply meta-research techniques to improve productivity
Dev.to AI
How to Set Up a Karpathy-Style Wiki for Your Research Field
Learn to set up a Karpathy-style wiki for your research field to organize and share knowledge effectively
Medium · AI
The Non-Optimality of Scientific Knowledge: Path Dependence, Lock-In, and The Local Minimum Trap
Scientific knowledge may be stuck in a local minimum, hindering optimal progress, and understanding this concept is crucial for advancing research
ArXiv cs.AI
Up next
Microsoft Research Forum | Season 2, Episode 4
Microsoft Research
Watch →