Digital Darwinism: Evolving Business Strategies for Climate
Resilience

C 2025

Digital Darwinism: Evolving Business Strategies for Climate Resilience

MAJEROVÁ, Jana; Minh Cong NGUYEN a Subhankar DAS

Základní údaje

Originální název

Digital Darwinism: Evolving Business Strategies for Climate Resilience

Název česky

Fascinace temnotou: Co motivuje turisty k návštěvě míst tragédie a vzpomínky – případová studie Památníku Lidice

Autoři

MAJEROVÁ, Jana; Minh Cong NGUYEN a Subhankar DAS

Vydání

1. vyd. Singapore, Generative AI for a Net-Zero Economy, od s. 233-248, 16 s. Edition 1, 2025

Nakladatel

Springer

Další údaje

Jazyk

angličtina

Typ výsledku

Kapitola resp. kapitoly v odborné knize

Obor

50204 Business and management

Stát vydavatele

Singapur

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Odkazy

URL

Označené pro přenos do RIV

Ano

Organizační jednotka

Ambis Univerzita

ISBN

978-981-96-8014-6

DOI

https://doi.org/10.1007/978-981-96-8015-3_14

Klíčová slova česky

Temný turismus-genocida-cestovní ruch-motivace-Památník Lidice

Klíčová slova anglicky

Digital Darwinism; Business Strategies; Climate Resilience

Štítky

RIV_2025

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 16. 2. 2026 16:33, Ing. Kateřina Lendrová

Anotace

V originále

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.

Citovat

MAJEROVÁ, Jana; Minh Cong NGUYEN a Subhankar DAS. Digital Darwinism: Evolving Business Strategies for Climate Resilience. In Mondal, S.R., Vartiak, L., Das, S. Generative AI for a Net-Zero Economy. 1. vyd. Singapore: Springer, 2025, s. 233-248. Edition 1. ISBN 978-981-96-8014-6. Dostupné z: https://doi.org/10.1007/978-981-96-8015-3_14.

@inbook{497855,
   author = {Majerová, Jana and Nguyen, Minh Cong and Das, Subhankar},
   address = {Singapore},
   booktitle = {Generative AI for a Net-Zero Economy},
   doi = {https://doi.org/10.1007/978-981-96-8015-3_14},
   edition = {1.},
   editor = {Mondal, S.R., Vartiak, L., Das, S.},
   keywords = {Digital Darwinism; Business Strategies; Climate Resilience},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Singapore},
   isbn = {978-981-96-8014-6},
   pages = {233-248},
   publisher = {Springer},
   title = {Digital Darwinism: Evolving Business Strategies for Climate Resilience},
   url = {https://link.springer.com/chapter/10.1007/978-981-96-8015-3_14#citeas},
   year = {2025}
}

TY  - CHAP
ID  - 497855
AU  - Majerová, Jana - Nguyen, Minh Cong - Das, Subhankar
PY  - 2025
TI  - Digital Darwinism: Evolving Business Strategies for Climate Resilience
VL  - Edition 1
PB  - Springer
CY  - Singapore
SN  - 9789819680146
KW  - Digital Darwinism
KW  - Business Strategies
KW  - Climate Resilience
UR  - https://link.springer.com/chapter/10.1007/978-981-96-8015-3_14#citeas
N2  - 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.
ER  -

MAJEROVÁ, Jana; Minh Cong NGUYEN a Subhankar DAS. Digital Darwinism: Evolving Business Strategies for Climate Resilience. In Mondal, S.R., Vartiak, L., Das, S. \textit{Generative AI for a Net-Zero Economy}. 1. vyd. Singapore: Springer, 2025, s.~233-248. Edition 1. ISBN~978-981-96-8014-6. Dostupné z: https://doi.org/10.1007/978-981-96-8015-3\_{}14.

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