Notice bibliographique
Résumé
Dr. Danielle Barbe is a Lecturer in Digital Marketing in the Faculty of Business and Law, at Newcastle Business School, Northumbria University. Danielle earned her PhD in Tourism, Hospitality, and Event Management and a minor in Communications from the University of Florida in spring 2020. Danielle’s overarching research area is in tourism and digital communications, examining ways to enhance the communications efforts between tourists and tourism suppliers. Danielle’s research examines the capabilities of digital communication tools in the context of tourism, with the goal of developing theoretically driven and empirically tested strategies that incorporate web, social, and mobile technologies. Through this research, Danielle has studied concepts relating to crisis communication, technology acceptance and use, persuasion, credibility, misinformation, electronic word-of-mouth (eWOM), engagement, relationship marketing, and influencer marketing Danielle’s academic journey and passion for research began at Ryerson University in Toronto, Canada where she was a Research Assistant for Dr. Kelly MacKay at the Institute for Hospitality and Tourism Research. In this role, Danielle conducted research on social media use and engagement in festival and event settings. Danielle’s experience with research at this time was limited. However, the more she learned, the more she wanted to continue to learn and discover answers to what was still unknown about this area. Danielle continued her academic journey at the University of Florida where her background on social media research took on the new lens of crisis communication. Working with Dr. Lori Pennington-Gray and the Tourism Crisis Management Initiative (TCMI), Danielle began evaluating the current state of online crisis communication by the tourism industry. The goal was to understand what organisations are communicating to tourists on social media in times of crisis. She analysed social media content by Destination Management Organisations (DMOs), hotels, the media, and publics. Danielle also analysed social media communication during a variety of crises (terrorist attacks, hurricanes, disease outbreaks, organisational-level crises) in multiple countries, including USA, UK, France, Belgium, Spain, Germany, and Sri Lanka. These studies were conducted as a situational analysis, to grasp a better understanding of current crisis communication. However, in these studies, Danielle found that, overall, the tourism industry was inept at communicating to tourists on social media during these times. Many DMOs and hotels were not only actively avoid communicating on social media about the crisis, but used an ineffective messaging strategy, focused heavily on recovery rather than tourists’ safety. Using these insights, Danielle’s dissertation titled ‘Developing a crisis communication model for the tourism industry: The effects of source, media, and time’ adopted a communications-focused approach to create a research-driven strategy that informs the tourism industry on how to increase visitors’ safety in times of crisis. Danielle’s dissertation focused on a terrorism-related crisis and consisted of three studies addressing each critical element of effective communication: source, medium, message and time. The purpose was to understand who the most influential sources are during a terrorist attack, which media tourists are most likely to turn to, when crisis communication is most necessary, and how message type can impact perceptions of safety and security at the destination. Danielle’s dissertation research informs destination managers on how to optimise their social media strategy by understanding how tourists behave on a variety of platforms during a crisis and how the messages by the tourism organisation may elicit a different response by the tourist. Each study provides unique elements to understand the communications process during a crisis in a tourism destination. Using the results from this research, Danielle is currently developing a crisis communication template to support tourism destinations’ crisis communication strategies. While Danielle’s primary research specialism is social media and crisis communication, Danielle’s overall research covers a wider spectrum. Danielle’s broader research agenda focuses on the use of digital technologies for the marketing, management, and development of tourism. Under the umbrella of communications, Danielle focuses on the factors influencing the persuasive effects of communication, looking particularly at the effects of source, media, message, and time on the attitudes and behaviours of the receiver. Her research extends beyond communication as a marketing tool, evaluating a range of communication options in the management, practice, and policy of tourism. Danielle acknowledges that tourism is a complex system, and thus examines communications from both a supply and demand perspective, focusing on strategies by the communicator as well as its effects on the receiver of messages. A recent research interest has been on influencer marketing, specifically through visually-centred platforms, such as Instagram. Influencer marketing has seen tremendous growth in recent years, however the research on this lucrative area is scarce, particularly in tourism. Danielle is exploring this area in depth to understand (1) why tourists follow influencers, (2) how tourists perceive influencers, and (3) the effects and outcomes of influencer marketing. In addition, Danielle has recently published research on the perceived credibility of misinformation on visually-focused social media platforms. Danielle is a strong believer in interdisciplinary collaboration and is actively engaged in partnerships with colleagues from universities in Canada, USA, and throughout Europe. Danielle is also a member of the Travel and Tourism Research Association and International Communications Association. Now part of the digital marketing team at Northumbria University, Danielle is excited for opportunities to work with colleagues across a broad area of specialisations.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,009 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».