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ESMT Berlin


Bureaucracy Index 2026: Business sector hit hardest

The Bureaucracy Index has reached a record high, showing a 62% increase in federal legislation since 2010. Commercial law has developed at an above-average rate, with the strongest growth since the beginning of systematic evaluation. To generate new growth momentum, deregulation must start here.

SourceESMT Berlin·TypeData/statistical analysis·DateMar 5, 2026

ESMT Berlin study: What makes a first offer successful in negotiations

The ESMT Berlin study analyzed 90 studies with over 16,000 participants to conclude that those who make the first offer and come well-prepared tend to achieve better outcomes. Higher first offers often lead to better final outcomes, but there are limits to this approach, particularly when demands are very high or unrealistic.

SourceESMT Berlin·JournalOrganizational Behavior and Human Decision Processes·TypeMeta-analysis·DateDec 18, 2025

ESMT Berlin study: ESG ratings show limited financial impact in the Gulf

A new study by ESMT Berlin researchers finds that high ESG ratings in the Gulf region do not necessarily lead to superior financial performance. Instead, financially strong companies drive ESG improvements. The analysis also shows that ESG scores are shaped more by state-led policy and institutional commitments than market forces.

SourceESMT Berlin·JournalSustainable Communities·TypeData/statistical analysis·DateOct 2, 2025

ESMT Berlin offers scholarships in executive leadership

ESMT Berlin is providing full and partial scholarships for three premier programs, including Bringing Technology to Market, General Management Seminar, and Executive Transition Program. The initiative aims to strengthen diversity in business leadership by supporting professionals from various backgrounds.

ESMT Berlin research shows how AI is revolutionizing open innovation

A recent study by ESMT Berlin scholars presents a comprehensive framework detailing the impact of AI on open innovation. The framework highlights three key ways in which AI is transforming open innovation practices: enhancing existing methods through efficiency and scalability, enabling new forms of collaboration and business models, a...

SourceESMT Berlin·JournalCalifornia Management Review·TypeData/statistical analysis·DateDec 10, 2024

Businesses unintentionally discourage diverse ideas

An analysis of 1.44 million ideas from over 100 organizations revealed that businesses tend to favor similar ideas, reducing diversity in proposals submitted. However, limiting interactions among external contributors and reducing the visibility of selected ideas can help managers tap into diverse perspectives.

SourceESMT Berlin·JournalAcademy of Management Journal·DateMay 15, 2024

ESMT Berlin researchers show ways to propel product success

ESMT Berlin researchers identified three key customer types: fans who demand immediate access, skeptics who require convincing, and middle-ground customers seeking information. The findings suggest firms should adapt their strategies based on market dynamics to achieve success.

SourceESMT Berlin·JournalProduction and Operations Management·DateMay 13, 2024

New PNAS study from ESMT Berlin reveals ideal first offer in negotiations

Researchers analyzed 26 million eBay negotiations to determine optimal low first offers. Lower first offers effectively bring down final sale prices, while a linear anchoring effect benefits buyers. The study identifies three zones: safety, acceleration, and saturation zones, where impasse risk decreases or increases.

SourceESMT Berlin·JournalProceedings of the National Academy of Sciences·DateAug 7, 2023

Machines can make better decisions than humans, but how do we know when they’re actually accurate?

Research by Francis de Véricourt and Huseyin Gurkan found that trust in machines' decision-making ability is key to effective learning. They discovered that biased learning occurs when humans override algorithmic decisions without observing the machine's correctness, leading to incorrect usage of machines in decision making.

SourceESMT Berlin·JournalManagement Science·TypeComputational simulation/modeling·DateJun 14, 2023

New research from ESMT Berlin: Workplace machine learning improves accuracy, but increases human’s workload, too

New research from ESMT Berlin suggests that using machine-based predictions can improve overall accuracy of human decisions, but also increase the likelihood of certain errors and the human's cognitive effort. The study highlights the importance of collaboration between humans and machines to maximize complementary strengths.

SourceESMT Berlin·JournalManagement Science·DateMay 11, 2023

New research at ESMT Berlin shows potential variance in academic research

Researchers found that subjective decisions play a critical role in shaping empirical results, emphasizing the need for open data, systematic robustness checks, and transparency in academic research. This study highlights the benefits of diverse analytical approaches and the importance of humility when communicating findings.

SourceESMT Berlin·JournalOrganizational Behavior and Human Decision Processes·DateJul 15, 2021