Projected Destination Images Versus Visitor-Generated Visual Content in Brasov, Transylvania

Nechita, Florin; Demeter, Robert; Briciu, Victor-Alexandru; Varelas, Sotiris; Kavoura, Androniki

doi:10.1007/978-3-030-12453-3_70

Cited by 21 publications

(11 citation statements)

References 31 publications

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“…UGC has become a valuable tool for studying different aspects of a destination’s image, for example to better understand the destination’s image formation (Serna et al 2013 ; Llodrà Riera et al 2015 ; Micera and Crispino 2017 ), to compare the image projected by DMO versus the one perceived by visitors (Stepchenkova and Zhan 2013 ; Nechita et al 2019 ; Mariné-Roig and Ferrer-Rossell 2018 ), to better understand managerial challenges in the destination (Alcázar et al 2014 ; Stepchenkova et al 2015 ; Mariné-Roig and Anton Clavé 2016 ; Rahman et al 2016 ), to better market the place (Zhang et al 2015 ; Doosti et al 2016 ; Moro and Rita 2018 ; Luna-Cortés 2018 ; Tan 2018 ; Mohamed et al 2019 ) and to improve visitors’ segmentation (Moliner-Velázquez et al 2021 ).…”

Section: Literature and Theory Reviewmentioning

confidence: 99%

The perceived image of multi-asset tourist destinations: investigating congruence across different content types

Bassols-Gardella

Coromina²

2021

Serv Bus

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Section: Literature and Theory Reviewmentioning

confidence: 99%

The perceived image of multi-asset tourist destinations: investigating congruence across different content types

Bassols-Gardella

Coromina²

2021

Serv Bus

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“…A study on the engagement of tourist/traveller-generated content as the way of the destination branding strategy with references to Portugal, highlights the role of a "tourist/traveller as an opinion maker" who acts "as co-creators of brands", so "the content of the final output will be the result of the content generated by travellers", that "increases the chances that consumers will share the content with their own social network" (Oliveira and Panyik, 2015: 53, 71). In the category of tourist-generated content, the photos taken on the site and uploaded on the web can reveal the spatial patterns of tourists' activities as the geotagged photos can be used for analysing the perceived vs. projected image of the destination since the data can provide a hotspot distribution of tourist attractions (Nechita et al, 2019;Briciu et al, 2019).…”

Section: Innovative Digital Content Marketing Trends For Tourism Bran...mentioning

confidence: 99%

Sustainable Customer Digital Engagement Strategies for the Tourism Recovery Perspective

Pocinho

Vieira

Nunes

et al. 2021

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The tourism sector has continued to be one of the most affected business units in 2020 in connection with a global pandemic. Numerous regions and tourist destinations, tourist hotspots and accommodations have been subjected to serious changes with a substantial economic impact. Thereby, the question arises as to whether the capacity to respond to customers' needs through functional digital engagement strategies is efficient for supporting a recovery and sustainable development of the tourism industry. This article comments on and provides a critical analysis of the recent online strategies related to content marketing applied to the tourism sector due to a global pandemic and the need to implement a different attitude towards tourismoriented projects. The article proposes some examples of efficient policies that fit in with changes in the world tourism market.

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“…The social and cultural context of our research is quite complicated. Bras , ov is a city located in the central part of Romania [28], as part of Bras , ov County. It is a destination of "future tourism development" [29], about 166 km north of Bucharest, the capital of Romania.…”

Section: Location and Cultural Backgroundmentioning

confidence: 99%

A Virtual Assistant for Natural Interactions in Museums

et al. 2020

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Artificial Intelligence (AI) and its real-life applications are among the most effervescent research topics of the last couple of years. In the past decade, stakeholders such as private companies, public institutions, non-profit entities, and even individuals, have developed and used various AI algorithms to solve a wide range of problems. Given the extended applicability and the disruption potential of this technology, it was just a matter of time until it connected to the field of cultural heritage. This paper presents the development of an intelligent conversational agent which was built to improve the accessibility to information inside a history museum. We present the cultural context, the application architecture, the implementation challenges, and the visitors’ feedback. We created a smart virtual agent that interacts with users in natural spoken language. This involved the design and implementation of the artificial intelligence-based core responsible for understanding the Romanian language. A short survey regarding the tourist acceptance of the system was conducted at the premises of our partners, the Museum “Casa Mureșenilor” from Brașov, shows good acceptance levels from both visitors and museum staff. Given the flexibility of the implementation, the system can be used by a large array of stakeholders with minor modifications.

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Projected Destination Images Versus Visitor-Generated Visual Content in Brasov, Transylvania

Cited by 21 publications

References 31 publications

The perceived image of multi-asset tourist destinations: investigating congruence across different content types

The perceived image of multi-asset tourist destinations: investigating congruence across different content types

Sustainable Customer Digital Engagement Strategies for the Tourism Recovery Perspective

A Virtual Assistant for Natural Interactions in Museums

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