Early Warning Signals

Early Warning Signals (EWS) project, as first of its kind in Luxembourg, aims to show organisations how strategic “surprises” are detected today & provide access to best practices to cope with the challenges ahead.


In today’s markets, the frequency of changes and the corresponding impacts on companies are constantly increasing. Thus, a reactive mode is no longer appropriate [...]

What are Early Warning Signals?

Support Executives

We support executives to identify market opportunities and risks

in advance

Support Companies

We support companies to achieve sustainable growth in highly competitive markets

Scientific knowledge

We develop applied scientific knowhow suitable for supporting corporate decision-makers

Competitive Advantage

We create a competitive advantage for companies in order to stay ahead of their competitors

The EWS Project

In today’s markets, the frequency of changes and the corresponding impacts on companies are constantly increasing. Thus, a reactive mode is no longer appropriate. However, discontinuities do not emerge without warnings: weak signals can be used to anticipate opportunities, risks, or threats. This is why companies need to have structures, processes, procedures, and competencies in place to recognise, collect and use these weak signals.

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Q2 2021

Q1 2022

Q2 2022

Q3 2022

Launch of the Project

Research Phase

Final Findings

Business Application

FILL IN THE SURVEY. WIN A PRIZE.

Early Warning Signals Study Results

The aim of our questionnaire was to investigate whether and how you are using Early Warning Signals (EWS) in your company/organization. All the data and insights have been collected into a white book about the best practices in dealing with Early Warning Signals (EWS). Discover below the summary of our findings.

Project Updates & News

Event

Article

Presentation

Article

Article

08/12/2022

20/11/2022

20/03/2022

Final Results Presentation at the Power Breakfast

Managerial issues about “Early Warning Signals”

First Findings and Research Quotes of the EWS Project

The first phase of the EWS research project took place in the last quarter of 2021 and consisted in a series of interviews with leaders of Luxembourg renowned organisations. During these conversations, the team could see a first outline of the project.


Download the collection of quotes [+]

Business managers had the opportunity to learn more about the final results of the EWS survey and to benefit from a wealth of advice on managing Early Warning Signals.


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Article

Presentation

Press Release

04/03/2022

22/02/2022

18/02/2022

Be Prepared, Be ahead with Early Warning Signals

Early Warning Signals Survey Launch Event 

First Virtual Event on Early Warning Signals to Anticipate Crisis & Opportunities

Today like never before, markets, technologies, society, and trends change at a rapid pace and with pivotal moments that define discontinuities or strategic “surprises”.


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During the virtual event on February 22nd, 2022 at 5 PM, the EWS team presented the project to the public and reveal the initial results from the interviews conducted with the participating companies during the past few months.


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Luxembourg School of Business and MindForest worked together with leading companies in the Grand-Duchy to develop a set of best practices for detecting and using weak signals to prepare in due time for any change ahead.


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Press Release

13/01/2022

Creation of an Early Warning Signals Guideline for Companies in Luxembourg 

MindForest and Luxembourg School of Business have decided to partner together and work on developing guidelines to help companies understand the need to sense, seize and reconfigure early warning signals (EWS) as a part of their daily business.

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Meet Our Project Team

The EWS project team is composed of leaders, researchers, consultants and faculty members from the consulting company MindForest and Luxembourg School of Business.

Jane BARTON

Prof. Dr. Dino DOGAN

Nico HOFFELD

Ivan D. DOGAN

Marion MALCHAIR

Prof. Dr. David W. VERSAILLES

Prof. Dr. Borna JALSENJAK

Prof. Dr. Goran OBLAKOVIC

If you would like to learn more about the research project and/or the use of early warning signals for your business...