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Jeffrey Sampler

BRINGING STRATEGY BACK

Cut through complexity and rediscover the simple, powerful core of strategic thinking that drives real results.
Master Operations strategies from the world's leading business books!
Core Biz Category:
Operations
What Will You Learn?

Strategy needs shock absorbers for a world of constant surprises – Bringing Strategy Back by Jeffrey Sampler reinvents planning for volatility. This comprehensive strategy revival summary and resilience frameworks reveal: • Strategic Shock Absorbers - Build flexibility into plans to handle unexpected disruptions • Asymmetric Competition Navigation - Compete when rivals don't follow traditional rules • Rapid Window Response - Capture opportunities that close faster than ever • Emergent Strategy Design - Let strategies evolve through action, not just analysis The hidden gem: Sampler's "Strategy Half-Life" concept—most strategies expire 70% faster today than a decade ago. Activate Click.Apply.Grow™ agility: Install one shock absorber in your strategy this week. Test responses to three surprise scenarios. Iterate monthly. Organizations using dynamic strategy approaches show 3x better crisis navigation than rigid planners. Plans are worthless. Planning is everything.

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About the Author

Jeffrey Sampler is Professor at China Europe International Business School who pioneered strategic shock absorber theory for unpredictable business environments.

Oxford Fellow (2004-2012) and MIT Research Scientist since 2001. Author of Bringing Strategy Back and two books on Dubai's transformation. PhD from Stanford Graduate School of Business. Deep expertise in India, China, and emerging markets. Consulted for IBM, Boeing, UN, and DuPont on strategic complexity.

What sets Sampler apart: His 15 case studies on Indian companies reveal how businesses thrive when planning seems impossible, making him essential for volatile markets.

Sampler's shock absorber frameworks help multinationals navigate emerging market chaos. Organizations using his methodologies report 75% higher success rates in uncertain environments.

The professor proving strategy works when the future refuses prediction.

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