Digital Darwinism: Evolving Business Strategies for Climate
Resilience

C 2025

Digital Darwinism: Evolving Business Strategies for Climate Resilience

MAJEROVÁ, Jana; Minh Cong NGUYEN and Subhankar DAS

Basic information

Original name

Digital Darwinism: Evolving Business Strategies for Climate Resilience

Name in Czech

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

Authors

MAJEROVÁ, Jana; Minh Cong NGUYEN and Subhankar DAS

Edition

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

Publisher

Springer

Other information

Language

English

Type of outcome

Chapter(s) of a specialized book

Field of Study

50204 Business and management

Country of publisher

Singapore

Confidentiality degree

is not subject to a state or trade secret

Publication form

printed version "print"

References:

URL

Marked to be transferred to RIV

Yes

Organization unit

Ambis University

ISBN

978-981-96-8014-6

DOI

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

Keywords (in Czech)

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

Keywords in English

Digital Darwinism; Business Strategies; Climate Resilience

Abstract

In the original language

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.

Cite

MAJEROVÁ, Jana; Minh Cong NGUYEN and 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. 1st ed. Singapore: Springer, 2025, p. 233-248. Edition 1. ISBN 978-981-96-8014-6. Available from: 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}
}

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ID  - 497855
AU  - Majerová, Jana - Nguyen, Minh Cong - Das, Subhankar
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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 and 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}. 1st ed. Singapore: Springer, 2025, p.~233-248. Edition 1. ISBN~978-981-96-8014-6. Available from: https://doi.org/10.1007/978-981-96-8015-3\_{}14.

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