EconPapers    
Economics at your fingertips  
 

Extended PALWONS Diagnosis of Systemic Disorders of Organisations – Immune Diseases and an Approach to Their Treatment Using AI Assistance

Erzsébet Noszkay () and Andrea Drobny-Burján ()
Additional contact information
Erzsébet Noszkay: Budapest Metropolitan University
Andrea Drobny-Burján: University of Sopron

Chapter 7 in Tanulmányok az információ- és tudásfolyamatokról 22. / Studies on Information and Knowledge Processes 22, 2025, vol. 22, pp 135-152 from Információs Társadalomért Alapítvány / Foundation for Information Society

Abstract: Investigates whether readily available artificial intelligence, especially large language models, can help small and medium-sized enterprises anticipate external risk factors and prepare for future challenges. The study considers how AI may support strategic thinking and asks whether a dedicated methodology or thinking framework is necessary for organizations to use these tools effectively and economically.

Keywords: Artificial intelligence; Large Language Models; external risk factors (search for similar items in EconPapers)
Date: 2025
ISBN: 978-615-82082-9-1
References: Add references at CitEc
Citations:

Downloads: (external link)
https://infota.org/wp-content/uploads/2026/04/tanu ... dge-processes-22.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:evj:echapt:alma22-07

DOI: 10.60030/ALMAMS.c202501OAtH5E

Access Statistics for this chapter

More chapters in ALMA-MATER Book Series - Chapters from Információs Társadalomért Alapítvány / Foundation for Information Society
Bibliographic data for series maintained by Kiss Ferenc ().

 
Page updated 2026-10-28
Handle: RePEc:evj:echapt:alma22-07