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How AI can increase resilience in small and medium-sized companies

Citation Link: https://doi.org/10.15480/882.14321
Publikationstyp
Working Paper
Date Issued
2025-01
Sprache
English
Author(s)
Brüggemann, Immo  
Buse, Stephan  
Technologie- und Innovationsmanagement W-7  
Villarreal, Nohemi  
TORE-DOI
10.15480/882.14321
TORE-URI
https://tore.tuhh.de/handle/11420/53228
Citation
Technische Universität Hamburg (2025)
Peer Reviewed
false
This paper examines how generative artificial intelligence (AI) can be integrated into the strategic management process to strengthen the resilience of small and medium-sized enterprises (SMEs). The strategic management process is divided into three phases: First, the collection and structuring of unstructured data from the macro- and microeconomic environment takes place. Here, AI provides support by efficiently collecting and clustering relevant information, enabling decision-makers to better assess current trends and developments. In the second phase, the evaluation of internal resources, AI helps to capture implicit knowledge within the company and systematically analyze it in order to uncover strengths and weaknesses. In the final phase of strategy development, AI combines internal and external data, generates new strategic approaches and thus supports the derivation of concrete fields of action. AI acts as a partner that significantly improves decision-making and strengthens the company's resilience through sound strategic planning.
Subjects
Generative Artificial Intelligence
Strategic Management Process
Resilience of SME
DDC Class
658: General Managament
006: Special computer methods
338: Production
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
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117_How AI can increase resilience in small and medium-sized companies_January 2025.pdf

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