Digital Darwinism: Evolving Business Strategies for Climate Resilience

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Digital Darwinism: Evolving Business Strategies for Climate Resilience

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Digital Darwinism: Evolving Business Strategies for Climate Resilience

Popis výsledku anglicky

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.

Druh

C - Kapitola v odborné knize

CEP obor

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OECD FORD obor

50204 - Business and management

Projekt

—

Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

Generative AI for a Net-Zero Economy

ISBN

9789819680146

Počet stran výsledku

16

Strana od-do

233-248

Počet stran knihy

266

Název nakladatele

Springer

Místo vydání

Singapore

Kód UT WoS kapitoly

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