Tanulmányok az információ- és tudásfolyamatokról 22. / Studies on Information and Knowledge Processes 22, vol 22
Edited by Ferenc Kiss
in ALMA-MATER Book Series from Információs Társadalomért Alapítvány / Foundation for Information Society, currently edited by Kiss Ferenc
Abstract:
Edited volume of eight double-blind peer-reviewed studies on artificial intelligence, knowledge processes, business applications, organizational decision-making, and related societal challenges.
Keywords: artificial intelligence; knowledge processes; knowledge management; business applications; organizational decision-making (search for similar items in EconPapers)
Date: 2025
Edition: 1
ISBN: 978-615-82082-9-1
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https://infota.org/wp-content/uploads/2026/04/tanu ... dge-processes-22.pdf (application/pdf)
Chapters in this book:
- Ch 1 Knowledge governance of artificial intelligence: the first steps , pp 1-16

- László Z. Karvalics
- Ch 2 Trust and Adoption of AI in Business: Perceptions, Risks, and Solutions , pp 17-61

- Levente Szabados and Ádám Buza
- Ch 3 From Perceived Disadvantage to Competitive Advantage: Generative AI and the SME Opportunity , pp 62-75

- Ottó Werschitz
- Ch 4 Understanding Frontier AI’s Implications for Business Model Innovation , pp 76-100

- Ottó Werschitz
- Ch 5 Policing and Artificial Intelligence: Cooperation or a Technological Arms Race? , pp 101-116

- Gábor Ferenczi and Éva Sütő
- Ch 6 Artificial Intelligence, Explicit Online Knowledge, and Tacit Knowledge – From Knowledge Boundaries to the First Knowledge Asymmetry , pp 117-134

- Mihály Szívós
- Ch 7 Extended PALWONS Diagnosis of Systemic Disorders of Organisations – Immune Diseases and an Approach to Their Treatment Using AI Assistance , pp 135-152

- Erzsébet Noszkay and Andrea Drobny-Burján
- Ch 8 A hibrid intelligencia a vállalatvezetői tudás új korszakában / Hybrid intelligence in the new era of business management knowledge , pp 153-185

- Etelka Éva Katits and Judit Katalin Fejes
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Persistent link: https://EconPapers.repec.org/RePEc:evj:ebooks:alma22
DOI: 10.60030/ALMAMS.k202501bT9BiX
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