Rules for Effective Decision-Making
Rules for Effective Decision-Making
People in companies typically make hundreds of decisions every day; some of them have long-term implications. But big data and smart technology are changing the process of decision-making. This three-day programme will teach you new ways of thinking to keep your decision-making relevant.
This programme, offered by RSM Executive Education, focuses on managerial thinking and reasoning that uses recent developments in big data and artificial intelligence (AI). You will learn decision-making skills that will help you focus on your markets, make strategic progress, and influence consumers. Over three days, we cover best principles for managerial decision-making – thinking about big data and thinking with big data – as well as rational and irrational human behaviour with regard to product information and prices, and the social aspects of decision-making.
The highly interactive lectures are mixed with exercises, role plays, and case studies. Assignments will be conducted in small groups. These study methods will help you apply new knowledge, and address the needs of your organisation straight away.
This programme aims to help managers understand how the mind works, and how to use this understanding for professional success. You will learn to:
- identify any ‘illusions of understanding’ in your organisation and improve your ability to recognise and deal with the unconscious biases that give rise to it
- adapt your organisation’s decision-making according to new technology such as AI and machine learning
- allow your organisation to benefit from the latest research into how consumers actually make decisions about money, time, products, and services
- deal with uncertainty and risk, and the process of ‘separating signal from noise’
- apply principles of social influence to consumers’ decisions and those in your organisation
- incorporate behavioural economics in your organisation.
This programme is designed for experienced managers and consultants from organisations of all sizes and from various functional areas including operations, marketing, innovation and human resources, who are seeking to deepen their executive decision-making skills. An evaluation is part of the selection process.
Here’s what previous participants say about RSM's three-day Rules for Effective Decision-Making programme:
"The three intense days of lectures, discussions, knowledge-sharing and reflecting were led by two inspiring tutors. We discussed several insights that I will implement in my organisation, particularly relating to prediction modelling and ways to structure inventive thinking. I believe attending Rules for Effective Decision Making has expanded my skill set as a manager and entrepreneur, and that was exactly what I was looking for."
Rodolfo Groenewoud van Vliet, business Director, In4Art
RSM’s faculty members combine impeccable academic credentials with a thorough knowledge of business practice. Selected for their ability and experience in executive teaching, they will draw on their research and knowledge to deliver a unique, challenging and richly interactive learning experience.
Dr Bart de Langhe
Dr Bart de Langhe is a visiting faculty member at RSM, and an associate professor of marketing at ESADE in Barcelona. His research examines consumer and managerial decision-making, focusing on intuitions about quantitative data. His research is published in leading academic journals such as Journal of Consumer Research, Journal of Marketing Research, and Management Science, as well as managerial publications such as Harvard Business Review, The Wall Street Journal, and The New York Times. Bart has held teaching and research positions at the University of Colorado in Boulder, the University of Chicago, Erasmus University Rotterdam, and the Catholic University of Leuven. The Marketing Science Institute recognised him as one of the most promising young marketing academics in 2017.
Prof. Stefano Puntoni
Prof. Stefano Puntoni is a professor of marketing at RSM. His research into decision-making has appeared in prestigious international publications including Harvard Business Review, Management Science, Journal of Consumer Research, and Journal of Marketing Research. He is an associate editor for the Journal of Consumer Research, and sits on the editorial boards of several other leading journals. He currently teaches in RSM’s Executive MBA and MSc in Marketing Management programmes. He is also academic director of the MSc programme. He joined RSM after completing his PhD at London Business School. The Financial Times named him a ‘Professor to Watch’.
Participants will learn as much from each other as from the faculty. To ensure a diverse and high-quality group, all applicants to the programme will be required to undergo a short intake discussion with an RSM staff member. This way we can guarantee that the programme is suitable for you.
You should comply with the following requirements if you wish to take part in the Rules for Effective Decision-Making programme:
· You have a minimum of 5 years of managerial experience
· You have budget responsibility and have financial impact in your organisation
· You have responsibility in the strategic decision-making process in your organisation.
Your application will be final once we have informed you on the basis of the intake call that your application has been accepted.
€ 3,250 (excl 21% VAT) including course materials, lunches, and snacks. This fee does not include hotel accommodation.
10% discount for alumni from Erasmus University Rotterdam and RSM. More information about the discount.
General terms and conditions
Our general terms and conditions apply when you register for an open programme. Please review them to learn more about our policies for cancellation, deferral and substitution.
The programme takes place in the Bayle building on the Woudestein Campus of Erasmus University Rotterdam.
We recommend Novotel Rotterdam Brainpark Hotel, adjacent to the university and less than five minutes’ walk from campus. Participants benefit from special rates.