Smart and Sustainable Destination Experiences: A Content Analysis on Finnish Tourism Experts’ Perspectives
Minni Haanpää () and
Päivi Hanni-Vaara ()
Additional contact information
Minni Haanpää: University of Lapland
Päivi Hanni-Vaara: University of Lapland
A chapter in Information and Communication Technologies in Tourism 2023, 2023, pp 160-165 from Springer
Abstract:
Abstract This paper discusses how Finnish tourism experts such as tourism entrepreneurs, destination management organizations (DMOs), development project personnel, and third-party organizations explain and shape the smartness of tourism destinations in Finland. We especially explore how the experts view the nexus of smartness and the experiences of tourists. The method used in this research is qualitative inductive content analysis. The preliminary findings show that the destinations aim to provide sustainable experiences with a balance between physical and digital services. However, the conditions such as scant mobility services and sometimes harsh nature conditions set challenges to developing smart tourism experiences. Smartness is still seen as a way to improve different aspects of social, cultural, and ecological sustainability.
Keywords: Smart tourism; Tourism experience; Sustainable destination (search for similar items in EconPapers)
Date: 2023
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:978-3-031-25752-0_18
Ordering information: This item can be ordered from
http://www.springer.com/9783031257520
DOI: 10.1007/978-3-031-25752-0_18
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 ().