Online Place Branding for Natural Heritage: Institutional Strategies and Users’ Perceptions of Mount Etna (Italy)

Autor: Valentina Erminia Albanese, Teresa Graziano
Přispěvatelé: Valentina Erminia Albanese, Teresa Graziano
Rok vydání: 2020
Předmět:
Zdroj: Heritage, Vol 3, Iss 85, Pp 1539-1559 (2020)
Heritage
Volume 3
Issue 4
Pages 85-1559
ISSN: 2571-9408
DOI: 10.3390/heritage3040085
Popis: In recent years, tourist destinations and strategies of place branding have been facing new challenges owing to the diffusion of Information and Communications technologies. Smart devices can give tourists/prosumers the possibility to co-create and share their travel experience to the point to influence the destination web reputation and, consequently, its digital place image and branding. Furthermore, new technologies can be also used as effective analytical tools to scrutinize the role of online co-created narratives in influencing the web reputation of a specific tourist site, natural heritage included. The study focuses on the online destination image of Mount Etna, an active volcano located in Southern Italy inserted in the UNESCO World Heritage List since 2017. The web reputation of this natural heritage site has been analyzed through a twofold methodology: a manual online content analysis and a software-based Sentiment Analysis methodology. The paper highlights the crucial role of new technologies both as tools of analysis in tourism and heritage studies and as &ldquo
catalysts&rdquo
of e-narratives able to influence place images. In so doing, the research aims at providing other researchers and policy-makers with new theoretical and methodological insights about the challenges and potentialities of smart technologies in exploring the online place image, thus contributing to a novel conceptualization of place branding through the theoretical/operational framework of Place Branding 3.0. In particular, the mixed-method approach represents an innovative framework insofar as it provides an in-depth evaluation of users&rsquo
online perceptions both at the &ldquo
micro&rdquo
scale&mdash
at the level of contents, through the manual content analysis&mdash
as well as at the &ldquo
macro&rdquo
scale, thanks to the software-based Sentiment Analysis methodology.
Databáze: OpenAIRE