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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

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

  • OECD FORD branch

    50204 - Business and management

Result continuities

  • Project

  • 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