Catalysing Business Engagement in Early Warning Systems 2025
Page 9 of 21 · WEF_Catalysing_Business_Engagement_in_Early_Warning_Systems_2025.pdf
The state of business
engagement in EWS2
A growing number of businesses are
providing new and innovative products
or services linked to EWS.
This chapter explores the current level and
characteristics of business engagement in EWS.
First, it outlines a framework for understanding the
various roles that businesses can play in relation to the EWS system. Then, based on a survey and
literature review, it presents headline findings that
describe the overall state of business engagement
on the issue.
The framework for understanding businesses’ role
in EWS starts from the EWS value chain – the four
interrelated elements of EWS that work together to
produce and disseminate warnings. The steps in
the EWS value chain are as follows:16
–Risk knowledge: Understanding and
quantifying hazards, exposure and vulnerability
of persons, communities, organizations
and assets
–Detection, monitoring, analysis and
forecasting of hazards and possible
consequences: Hazard monitoring through
effective and operational forecasting and
warning services, with clear institutional
mechanisms in place
–Warning dissemination and communication:
Decision-making processes, communication
systems and equipment, and targeting
approaches
–Preparedness and response: Developing,
operationalizing and regularly testing and
evaluating disaster preparedness measures,
including response plans, public awareness and
educational campaigns
Across each of these steps in the value chain, a
business’s relationship with EWS can be defined
as one (or more) of four types. Businesses can
relate to EWS as users, vendors, partners or
innovators. These terms are defined below, along
with illustrative descriptions of how each type of relationship manifests within each step of the EWS
value chain. Case examples of many of these types
can be found throughout the rest of this document.
Users: Businesses integrate EWS data to
mitigate risks, identify opportunities and
refine long-term strategies. While users
typically consume EWS data, they also have
the potential to become more engaged by
enhancing and contributing to the system.
–Risk knowledge: Users rely on EWS data to
identify and assess risks, enabling proactive
measures such as adjusting operations in
high-risk areas. They also use this data to
develop products and services to help others
mitigate risks.
–Monitoring and warning: Companies use
real-time EWS alerts to modify operations, such
as rerouting logistics or pausing activities in
affected areas.
–Communication and dissemination:
Businesses receive warnings through internal
and external communication channels and can
play a larger role by helping disseminate critical
information to supply chains, customers and
local communities.
–Response capability: Businesses develop
emergency plans to safeguard their employees
and infrastructure based on authoritative
EWS warnings.2.1 Framework for business engagement in EWS
Catalysing Business Engagement in Early Warning Systems 9
Ask AI what this page says about a topic: