Featured
Featured
How Leaders Unlock Innovation on the Front Lines
Front-line employees have the knowledge and potential to develop invaluable innovations — but without managerial support, their promising ideas may never surface.
Felix Mosner, Fabian Sting, and Aravind Chandrasekaran
Top Featured from MIT Sloan Management Review Middle East
Featured
How Leaders Unlock Innovation on the Front Lines
Felix Mosner, Fabian Sting, and Aravind Chandrasekaran
AI Research Forum
6 Takeaways From AIRF Dubai 2025 as We Move from Mandate to Momentum
MITSloan ME Editorial
AI and Machine Learning
SDAIA Unveils AI Bias Guide, Identifies Over 100 Bias Types
MITSloan ME Editorial
Culture
61% of Workers Admit to Throwing a Colleague Under the Bus, Survey Finds
MITSloan ME Editorial
AI and Machine Learning
Alibaba Unveils 2.4-Trillion-Parameter Qwen3.8 AI Model
MITSloan ME Editorial
More Featured from MIT Sloan Management Review Middle East
Featured
How Leaders Unlock Innovation on the Front Lines
Front-line employees have the knowledge and potential to develop invaluable innovations — but without managerial support, their promising ideas may never surface.
Felix Mosner, Fabian Sting, and Aravind Chandrasekaran
Culture
Beyond Resilience: Why Optimism Is Becoming the Middle East's Workforce Strategy
As global workplaces grapple with uncertainty and disengagement, employees across the Gulf are finding confidence in stability, opportunity, and long-term growth.
Paromita Gupta
Data, AI, & Machine Learning
What CEOs Need to Know About Sovereign AI
Chief executives can balance the local ambitions of countries with the global scale of innovation in a changing geopolitical environment.
Mauro Macchi, Ajoy Menon, Mauro Capo, and Surya Mukherjee
Automation
What Would CEOs Let AI Decide Tomorrow?
Today, the question isn’t whether AI can make executive decisions. It’s about which decisions CEOs should always make themselves.
Tasmia Ansari
AI and Machine Learning
The Hidden Cost of AI-Assisted Creativity
AI boosts individual creativity but narrows collective idea diversity. Four studies reveal why, and what managers can do about it.
Léonard Boussioux, Anil Doshi, Oliver Hauser, and Kartik Hosanagar Anil Doshi
Analytics & Business Intelligence
GenAI Success Metrics: Look Beyond Reduced Workload
Generative AI tools didn’t give people at one community college empty calendars or fewer emails. But people did gain faster closure on decisions and a few other key benefits.
Vishal Shah, Andrenna Gibson, and Tanika Teagle
AI and Machine Learning
Why AI Governance Will Define the UAE’s Global Leadership Ambitions
The UAE's bold AI vision demands transparency and trust, but cutting corners on governance risks costly fixes from preventable failures.
Paromita Gupta
Developing Strategy
Resolving Muddled Objectives in Corporate Venture Capital
Corporate venture units are often doomed by their parent company’s lack of clarity on objectives and priorities.
Michael A. Cusumano and Tomohisa Okamoto
AI and Machine Learning
The Real Question to Ask About AI Governance
When an AI model does something it shouldn’t, who in your organization has the authority to stop it? If you can’t answer that question, you’re performing AI governance theater.
Joseph Wallace
Data, AI, & Machine Learning
Why Businesses Need Better KPIs Before Reshaping the Workforce for AI
The real risk isn't measuring productivity incorrectly—it's making workforce decisions based on those flawed measures.
