Thought Leadership
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Field vs Failed experiments: What we learn from 2019 Nobel Laureates
Abhijit Banerjee and Esther Duflo show us that live experiments for economic issues in India can take us to a crucial path: Evidence-based policy making
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Cooking (and uncooking) the books: Corporate financial misreporting
A mere one-in-six public companies almost certain to have misstated their earnings actually bothered to fix the problem, according to new research
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Why (and how) companies should better prepare for geopolitical threats
Firms should be prepared for worst-case scenarios and identify important risks to their day-to-day operations
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What teams don't, can't, daren't or won't discuss
At the heart of this age old dilemma lie the "Undiscussables" — off-limits subjects that poison team spirit and cripple potential
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Can IP-Led innovation help India hurdle the middle-income trap?
As a rapidly growing economy, India will soon encounter the middle-income trap. The Indian economy will need to build a sustainable policy framework, founded on strong property rights and rule of law, to hurdle the middle-income trap and compete in the Fourth Industrial Revolution. Drawing on findings from the 2019 International IP Index, Hemal Shah of the United States Chamber of Commerce Global Innovation Policy Centre presents a perspective
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Which healthy eating nudges work best?
Our framework shows how to guide consumers to choose healthier food options.
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Marketing mantras in the Eco-System era
New marketing mantras are needed to play this game of Disaggregation, Connection and Integration
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Family businesses-suppliers relationships: Standing the test of time
Where does the family business-supplier relationship stand when a business is handed over to the next generation, and how should both parties manage this relationship over the long-run?
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How our understanding of the brain impacts business
Michael Platt, a neuroscience expert on using neuroscience insight for innovation
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Artificial intelligence for the perplexed executive
AI can transform almost every industry. The biggest uncertainty may be the humans behind it
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AI and the social sciences used to talk more. Now they've drifted apart
Research shows that the gap between these disciplines is growing, which could make it harder to address social and ethical problems