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Bart De Langhe

Full Professor of Marketing

As an expert in the psychology of decision making, his research has helped many businesses shape their strategies

Bart De Langhe’s research examines how consumers and managers make judgments and decisions – and specifically, how they think about data, metrics and statistics. He has been published in leading academic journals – and his work features in magazines like Harvard Business Review and MIT Sloan Management Review.

In 2017, Bart was recognised by the Marketing Science Institute as one of the most promising young scholars in marketing. And in 2021, he was selected as one of Poets&Quants’ Best 40-Under-40 Professors.

He’s a sought-after keynote speaker and has presented his research at the most prestigious academic institutions in the world. He also supports organisations as both a consultant and non-executive board member.

Bart has developed an approach to decision making called “decision-driven data analytics”. It emphasises the psychology of the decision-maker and the unique properties of human intelligence – and could help advanced data analytics and AI initiatives have greater impact.

At Vlerick, Bart teaches on the European Executive MBA, the FMCG Bootcamp for Masters students and the DBA. He also takes part in programmes on behavioural economics, data analytics and decision making.

Who am I?

  • Full Professor of Marketing at Vlerick Business School
  • Doctor in Marketing at the Rotterdam School of Management, Erasmus University, Netherlands
  • Master in Psychology at KU Leuven
  • Bachelor in Psychology at KU Leuven
  • Member of the Editorial Review Board at the Journal of Consumer Psychology
  • Previous faculty member at ESADE, Spain and Leeds School of Business, University of Colorado-Boulder, USA
  • Previous Visiting Professor at Booth School of Business (USA), the Rotterdam School of Management (Netherlands) and KU Leuven

My expertise

  • Consumer and managerial judgment and decision making
  • Behavioural economics
  • Decision intelligence
  • Data analytics
  • Consumer research
  • Customer-centric marketing management