Violetta Wilk
Biographic Data
| ID | 4641975 |
|---|---|
| NAME | Violetta Wilk |
| GIVEN NAMES | Violetta |
| FAMILY NAME | Wilk |
| SIGNATURE | WILK V |
| AFFILIATIONS | Edith Cowan University |
| ORCID | 0000-0001-7990-769X |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 8 |
| WORKS AS AUTHOR | 9 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Brand transcendence through brand value co-creation exchanges within social media craft beverage brand communities
This study explores brand transcendence through brand value co-creation within social media craft beverage brand communities across Instagram and Twitter (now X). Lexical analysis explored a total of 192,330 posts and found brand transcendence evident in the interplay between user-generated content (UGC) and brand-generated content (BGC) across social media platforms, which co-created brand value through the processes of sharing virtual cues with…
Tourism destination mobile applications
Despite the rise in destination mobile applications (apps) and their significance in the tourism sector, there remains a notable dearth of critical assessments of knowledge on the topic, which is necessary to guide future academic and industry endeavours. To bridge the gap, this research conducts a systematic review to synthesise scholarly knowledge on tourism destination mobile apps. The analysis reveals topical clusters including prototyping an…
Crisis planning intentions among hotel managers
This study investigates the motivational factors which influence future crisis planning intentions, by utilising the Theory of Planned Behaviour (TPB) as the underlying theoretical framework. This research focuses on understanding the attitudes, subjective norms, and perceived behavioural control of hotel managers’ intentions regarding future crisis planning. To enhance the TPB model, the study incorporates two additional variables: perceived ris…
Artificial intelligence-enabled conversational agents in tourism & hospitality
Artificial intelligence (AI)-enabled conversational agents (AICAs) are transforming the tourism and hospitality sector. While studies focus on technical and operational aspects, there is limited exploration of consumer behaviour. This study employs the TCCM (Theory, Context, Characteristics and Methodology) framework to analyse the theoretical, contextual and methodological dimensions of AICA use. By utilising an AI-first, human-lens-second appro…
Framing theory insights
Through the lens of framing theory, this paper explores social media and news media online narratives about a destination affected by a natural disaster. It presents original insights into the co-existence of frame coupling and frame mirroring in online content. Online news media, and local and overseas social media user-generated content (UGC) was examined. The aim of such triangulation of data, was to understand how different online sources fra…
Showcasing Leximancer in tourism and hospitality research
This study showcases how the Leximancer program can be used to review Leximancer-based research published in tourism and hospitality journals during 2014-2020. Along with a Leximancer-generated concept map, a new tags' association visual analysis was also performed. This innovative method of analysis is a key contribution, as past Leximancer studies in hospitality and tourism have predominantly relied on thematic analysis only. An Insight Dashboa…
Exploring online destination brand advocacy
This paper explores online brand advocacy (OBA) in a tourism destination context. Through a Social Influence Theory lens, it explores the ways in which residents and overseas tourists discuss Australia as a destination brand on social media. By analyzing a big dataset of social media user-generated content (UGC), this study sought to identify the key dimensions evident in positively valenced social media UGC, to see whether these dimensions varie…
Defining Virtual Consumerism Through Content and Sentiment Analyses
This study set out to better understand virtual consumerism (VC) by applying natural language processing (NLP) methods for sentiment and content analyses. A total of 318 articles related to VC were identified on theguardian.com Web site and analyzed by text mining methodology. A thematic, content analysis using the Leximancer program was performed to explore VC as a concept, and its related concepts and concept associations. For the purposes of “…
Twitter content analysis of the Australian bushfires disaster 2019-2020
Purpose This paper aims to explore the themes and nature of sentiment of Twitter content that discussed the Australian bushfire disaster 2019–2020 and its associated wildlife devastation, with considerations for the future of Australia’s tourism industry. Design/methodology/approach A large, qualitative data set consisting of all publicly available Twitter posts during the period of the Australian bushfires from December 2019 to March 2020 that m…
Framing theory insights
Through the lens of framing theory, this paper explores social media and news media online narratives about a destination affected by a natural disaster. It presents original insights into the co-existence of frame coupling and frame mirroring in online content. Online news media, and local and overseas social media user-generated content (UGC) was examined. The aim of such triangulation of data, was to understand how different online sources fra…
Exploring online destination brand advocacy
This paper explores online brand advocacy (OBA) in a tourism destination context. Through a Social Influence Theory lens, it explores the ways in which residents and overseas tourists discuss Australia as a destination brand on social media. By analyzing a big dataset of social media user-generated content (UGC), this study sought to identify the key dimensions evident in positively valenced social media UGC, to see whether these dimensions varie…
Artificial intelligence-enabled conversational agents in tourism & hospitality
Artificial intelligence (AI)-enabled conversational agents (AICAs) are transforming the tourism and hospitality sector. While studies focus on technical and operational aspects, there is limited exploration of consumer behaviour. This study employs the TCCM (Theory, Context, Characteristics and Methodology) framework to analyse the theoretical, contextual and methodological dimensions of AICA use. By utilising an AI-first, human-lens-second appro…
Twitter content analysis of the Australian bushfires disaster 2019-2020
Purpose This paper aims to explore the themes and nature of sentiment of Twitter content that discussed the Australian bushfire disaster 2019–2020 and its associated wildlife devastation, with considerations for the future of Australia’s tourism industry. Design/methodology/approach A large, qualitative data set consisting of all publicly available Twitter posts during the period of the Australian bushfires from December 2019 to March 2020 that m…
Defining Virtual Consumerism Through Content and Sentiment Analyses
This study set out to better understand virtual consumerism (VC) by applying natural language processing (NLP) methods for sentiment and content analyses. A total of 318 articles related to VC were identified on theguardian.com Web site and analyzed by text mining methodology. A thematic, content analysis using the Leximancer program was performed to explore VC as a concept, and its related concepts and concept associations. For the purposes of “…
Showcasing Leximancer in tourism and hospitality research
This study showcases how the Leximancer program can be used to review Leximancer-based research published in tourism and hospitality journals during 2014-2020. Along with a Leximancer-generated concept map, a new tags' association visual analysis was also performed. This innovative method of analysis is a key contribution, as past Leximancer studies in hospitality and tourism have predominantly relied on thematic analysis only. An Insight Dashboa…
Exploring online destination brand advocacy
This paper explores online brand advocacy (OBA) in a tourism destination context. Through a Social Influence Theory lens, it explores the ways in which residents and overseas tourists discuss Australia as a destination brand on social media. By analyzing a big dataset of social media user-generated content (UGC), this study sought to identify the key dimensions evident in positively valenced social media UGC, to see whether these dimensions varie…
Artificial intelligence-enabled conversational agents in tourism & hospitality
Artificial intelligence (AI)-enabled conversational agents (AICAs) are transforming the tourism and hospitality sector. While studies focus on technical and operational aspects, there is limited exploration of consumer behaviour. This study employs the TCCM (Theory, Context, Characteristics and Methodology) framework to analyse the theoretical, contextual and methodological dimensions of AICA use. By utilising an AI-first, human-lens-second appro…
Framing theory insights
Through the lens of framing theory, this paper explores social media and news media online narratives about a destination affected by a natural disaster. It presents original insights into the co-existence of frame coupling and frame mirroring in online content. Online news media, and local and overseas social media user-generated content (UGC) was examined. The aim of such triangulation of data, was to understand how different online sources fra…
Brand transcendence through brand value co-creation exchanges within social media craft beverage brand communities
This study explores brand transcendence through brand value co-creation within social media craft beverage brand communities across Instagram and Twitter (now X). Lexical analysis explored a total of 192,330 posts and found brand transcendence evident in the interplay between user-generated content (UGC) and brand-generated content (BGC) across social media platforms, which co-created brand value through the processes of sharing virtual cues with…
Tourism destination mobile applications
Despite the rise in destination mobile applications (apps) and their significance in the tourism sector, there remains a notable dearth of critical assessments of knowledge on the topic, which is necessary to guide future academic and industry endeavours. To bridge the gap, this research conducts a systematic review to synthesise scholarly knowledge on tourism destination mobile apps. The analysis reveals topical clusters including prototyping an…
Crisis planning intentions among hotel managers
This study investigates the motivational factors which influence future crisis planning intentions, by utilising the Theory of Planned Behaviour (TPB) as the underlying theoretical framework. This research focuses on understanding the attitudes, subjective norms, and perceived behavioural control of hotel managers’ intentions regarding future crisis planning. To enhance the TPB model, the study incorporates two additional variables: perceived ris…
Digital Marketing and Social Media (7 works) · Political science (6 works) · Social media (6 works) · Tourism (6 works) · Business (5 works) · Sociology (5 works) · Diverse Aspects of Tourism Research (4 works) · Computer Science (3 works) · Content analysis (3 works) · Marketing (3 works)