Emojis and Users’ Brand Engagement in Instagram. The Case of Eco-Friendly Restaurants

Ballester, Estefania; Rubio, Natalia; Ruiz, Carla

doi:10.29036/jots.v14i27.514

Cited by 3 publications

(1 citation statement)

References 49 publications

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“…These experiences vary among individuals and rely on factors, such as perceptions, expectations, experiences, and mediated spaces. Thus, shared content can impact the intention (Ballester et al, 2023) and behavior of tourists and shape the image of a destination (Camprubí et al, 2013;Gartner, 1994;Martín-Martín et al, 2023). Munar and Jacobsen (2014) investigated the motivation for creating and sharing tourism content on social media and found that public sharing of content was less frequent than private sharing.…”

Section: Introductionmentioning

confidence: 99%

Social Media in Tourism: A Twitter (X) Social Graph Approach to #Alula

Alshehri

2024

JoTS

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The Kingdom of Saudi Arabia launched Vision 2030 to diversify its economy beyond oil-related government revenue and grow tourism investments. This multifaceted road map includes promoting the country as a tourism destination on social media platforms. Alula is a key Saudi tourism destination characterized by mountainous landscapes and archaeological discoveries. This study investigates the dissemination of social media content that promotes #Alula on the Twitter (X) platform in order to examine the effectiveness of social media in reviving the tourism sector by disseminating tourism messages and connecting individuals with tourist destinations. We captured and analyzed the social graph of this hashtag using the social network analysis (SNA) tool – NodeXL - through December 2022. The findings reveal the structure and shape of the social media impact of #Alula on network clusters and influencers. We identified the main clusters, along with the powerful influencers that played a role in cultivating the network. These findings have important implications for the design and management of a social media presence and the promotion strategies for tourism destinations by focusing on cultivating a social network to actively promote a tourism destination and identify key players in such networks as they play important roles in disseminating content. Our findings is of interest to practitioners and academics. Practitioners can focus on incorporating SNA for tourism planning, management, and marketing strategies, while academics can pursue further research, focusing on cultivating social networks and identifying influential factors on network size and traverse.

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Section: Introductionmentioning

confidence: 99%

Social Media in Tourism: A Twitter (X) Social Graph Approach to #Alula

Alshehri

2024

JoTS

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Artificial intelligence and machine learning in combating illegal financial operations: Bibliometric analysis

Lyeonov,

Draskovic,

Kubaščikova

et al. 2024

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Money launderers and corrupt entities refine methods to evade detection, making artificial intelligence (AI) and machine learning (ML) essential for countering these threats. AI automates identity verification using diverse data sources, including government databases and social media, analysing client data more effectively than traditional methods. This study uses bibliometric analysis to examine AI and ML in anti-money laundering and anti-corruption efforts. A sample of 746 documents from 477 sources from Scopus shows a 14.33% annual growth rate and an average document age of 3.51 years, highlighting the field's actuality and rapid development. The research indicates significant international collaboration in documents. The main clusters of keywords relate to the implementation of AI and ML in (1) avoiding fraud and cybersecurity, (2) AML compliance, (3) promotion of transparency in combating corruption, etc. Addressing ethical concerns, privacy, and bias is crucial for the fair and effective use of AI and ML in this area.

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Network Structure of Online Customer Reviews and Online Hotel Reviews: A Systematic Literature Review

Pestana,

Gageiro,

Santos

et al. 2024

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This study conducts a bibliometric analysis of online customer and hotel review research, aiming to provide insights into where each field comes from, stands now and ought to go in the future. In particular, this study examines how the existing research on online customer reviews can benefit future hotel review research. Data collected from Web-of-Science and Scopus created an expanded network of 797 core articles and 19,374 citations to identify intellectual structures, developing trends, and future research gaps. This study offers a visual overview of journals, institutions, countries, research themes and authors to assess the overall directions hotels can take. It underscores the necessity for rigorous and relevant research amid the proliferation of online reviews and emphasises the imperative for academia to bridge the gap between theoretical insights and practical applications within the dynamic tourism industry. This study provides researchers and industry professionals with useful tools to understand and deal with the complexities of online reviews. It also highlights the important role these reviews play in shaping the future of tourism strategies.

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Emojis and Users’ Brand Engagement in Instagram. The Case of Eco-Friendly Restaurants

Cited by 3 publications

References 49 publications

Social Media in Tourism: A Twitter (X) Social Graph Approach to #Alula

Social Media in Tourism: A Twitter (X) Social Graph Approach to #Alula

Artificial intelligence and machine learning in combating illegal financial operations: Bibliometric analysis

Network Structure of Online Customer Reviews and Online Hotel Reviews: A Systematic Literature Review

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