Digital Darwinism: Evolving Business Strategies for Climate Resilience
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F02819180%3A_____%2F25%3A%230000125" target="_blank" >RIV/02819180:_____/25:#0000125 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-981-96-8015-3_14#citeas" target="_blank" >https://link.springer.com/chapter/10.1007/978-981-96-8015-3_14#citeas</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-981-96-8015-3_14" target="_blank" >10.1007/978-981-96-8015-3_14</a>
Alternative languages
Result language
angličtina
Original language name
Digital Darwinism: Evolving Business Strategies for Climate Resilience
Original language description
This chapter discusses Digital Darwinism, the fusion between AI and corporate strategies for climate resilience. It shows how AI improves climate risk assessment, supply chain design, and scenario planning by synthesising climate science, organisational theory, and technological innovation. With case examples, such as Shell’s renewable energy transition and Patagonia’s circular systems, the analysis shows how AI can empower organisations to create dynamic capabilities that optimise resource utilisation and enable climate future simulations. However, the double-edged nature of AI algorithmic bias, unequal access, and ethical dangers requires strong governance frameworks. The chapter explains that for companies to undergo a future-proof business transformation that enables them to excel within a net-zero economy, they must discard incremental ESG initiatives and create AI-driven embedded agility in their DNA. This requires multi-industry collaborations, equitable innovation, and ethical foresight, such that climate resilience is also a route to business continuity and custodianship of the planet.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
50204 - Business and management
Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Generative AI for a Net-Zero Economy
ISBN
9789819680146
Number of pages of the result
16
Pages from-to
233-248
Number of pages of the book
266
Publisher name
Springer
Place of publication
Singapore
UT code for WoS chapter
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