Artificial Intelligence as a Means of Communication for Greek Museums
Pericles Liakakis ()
Additional contact information
Pericles Liakakis: Independent Researcher
A chapter in Strategic Innovative Marketing and Tourism, 2025, pp 579-585 from Springer
Abstract:
Abstract Nowadays, the museum audience is increasingly transformed digitally, forcing museums to interact with every new innovative communication medium that emerges. This study highlights the use and value of AI in museums, and explores how the National Archaeological Museum has responded communicatively to new digital trends in cultural audiences. The data was drawn from the completion of an electronic questionnaire to a convenience sample of 102 people and a structured interview with the manager at the museum. The wishes of the public for the digital upgrading of the museum as reflected in the questionnaire are taken seriously by the museum managers according to the results of the interview. The results of this multi-method study underlined that although the museum has not yet completed its digital transformation, it is willing to make the digital leaps required to move with its audience into the new innovative era. This research helps not only the National Archaeological Museum, but all museums that have not yet fully completed their digital transformation according to the needs of the new digital era, which are directly related to the wishes of the international museum public.
Keywords: Artificial intelligence; National archaeological museum; Museum communication policy (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:spr:prbchp:978-3-031-81962-9_63
Ordering information: This item can be ordered from
http://www.springer.com/9783031819629
DOI: 10.1007/978-3-031-81962-9_63
Access Statistics for this chapter
More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().