AI’s Role in Crafting Personalized Tourist Experiences: A Literature Review – Part 3 of 8

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artificial intelligence (ai) and machine learning (ml) By MEFTAHYs-PROTOTYPE

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This is Part 3 of a 8-blog posts series “Exploring the Intersection of Artificial Intelligence and Tourist Experiences: Insights into AI-Driven Customization and Its Impact on Tourism”.

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2. AI-Powered Personalization: Shaping the Future of Tourist Experiences

2.1 Delving into Literature: AI’s Transformative Impact on Tourism

The integration of Artificial Intelligence (AI) into the tourism sector is gaining momentum, with a pronounced emphasis on personalization to elevate tourist experiences. This section delves into contemporary literature and studies that shed light on the profound impact of AI-driven personalization in the realm of tourism.
30 valuable articles on artificial intelligence and tourism have been summarized.

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  • Buhalis (2020): His perspective on the technological evolution in tourism emphasizes AI’s role in this journey.
  • Buhalis & Leung (2020): Their paper delves into the concept of smart hospitality.
  • Buhalis and Moldavska (2022): Their insights into smart tourism highlight the role of AI-powered personalization in enhancing the competitive edge of tourism entities.
  • Chan and Guillet (2018): Their investigation into Hong Kong’s hotel industry’s social media marketing strategies revealed the game-changing potential of AI-powered personalization.
  • Chen, Y., Xu, Z., & Gretzel, U. (2020): Their field experiment uncovers the profound impact of AI-powered personalization on tourist satisfaction.
  • Chunduri, P. K. (2020): His paper examines the effects of personalized AI and robot applications on customer service in tourism.
  • Dataconomy (2023): The article spotlights advanced AI technologies like deep learning and natural language processing. Major players like Amazon are leveraging generative AI to offer hyper-personalized customer service in travel.
  • Dunne (2022): His Forbes article delves into the future of personalization in travel, emphasizing AI’s pivotal role.
  • Goodfellow, Bengio, and Courville (2016): Their book “Deep Learning” delves into the potential of AI and machine learning across sectors, including tourism.
  • Gretzel, U., Sigala, M., Xiang, Z., & Koo, C. (2018): Their book offers a comprehensive overview of smart tourism.
  • Gursoy, Chi, Lu, and Nunkoo (2019): Their exploration into travelers’ information-seeking behavior in the AI context reveals the significant influence of AI-driven personalization on travel experiences.
  • Inanc-Demir and Kozak (2019): In their book “Tourism in the City”, they spotlight AI’s transformative role in tourism, emphasizing its potential to personalize and elevate tourist experiences.
  • Kong, Wang, and Fu (2022): Their insights into the current state and future trajectory of AI in tourism underscore its pivotal role in enhancing tourist experiences and propelling the industry’s growth.
  • Leung (2020): His conceptual model for smart tourism research, viewed through a sustainability lens, emphasizes AI’s potential in promoting sustainable tourism practices.
  • Li et al. (2020): Their research on AI’s role in personalized travel recommendation systems underscores the capability of AI to sift through vast data troves, discerning individual preferences. The outcome? Enhanced travel experiences and a boost in customer engagement and revenue for tourism enterprises.
  • Li, Wang, Liang, and Huang (2020): Their paper on China’s smart tourism initiative underscores the role of AI in enhancing personalization in smart tourism destinations.
  • Lv, Song, Basiri, Jackson, and Kitchin (2022): Their insights into the future of recommender systems in tourism highlight AI’s role in amplifying the efficacy of these systems.
  • McCartney and McCartney (2020): Their discourse on AI’s impact on tourism’s future underscores its transformative potential in personalization.
  • Pang, Chen, and Zhang (2020): Their literature review emphasizes AI’s transformative potential in enhancing tourist experiences through tailored recommendations.
  • Petar (2023): His Medium article offers a glimpse into the future of AI in tourism.
  • PR Newswire (2023): The report accentuates the disruptive potential of AI in travel, emphasizing its prowess in crafting personalized routes, activities, and brand interactions. Such intricate personalization is reshaping the tourism landscape, driving customer satisfaction and business growth.
  • Roh, Park, and Kim (2020): Through a case study of a leading South Korean travel agency, the research reveals that AI-driven personalization boosts customer satisfaction and engagement, translating to increased revenue.
  • Russell and Norvig (2020): Their book “Artificial Intelligence: A Modern Approach” offers insights into AI’s potential across sectors, including tourism.
  • Saha (2019): His article sheds light on AI’s role in reimagining travel personalization.
  • Samara, Tsimitakis, & Vasilakis (2020): Their bibliometric review offers insights into AI’s applications in tourism.
  • Stylos, Vassiliadis, Bellou, and Andronikidis (2021): Their exploration into the factors influencing tourists’ intention to revisit a destination reveals the significant role of AI-powered personalization.
  • Wang and Li (2020): Their case study on a Chinese travel website showcases the profound impact of AI-driven personalization on tourist satisfaction.
  • Xiang & Gretzel (2019): Their paper provides a comprehensive review of AI’s applications in tourism.
  • Xiang, Du, Ma, & Fan (2017): Their comparative analysis of online review platforms highlights the efficacy of AI-driven personalization in offering tailored recommendations.
  • Xiang, Du, Ma, & Fan (2022): Their bibliometric analysis offers a deep dive into AI research in tourism and hospitality.
  • Yue, X., Li, X., & Li, Y. (2021): Their paper discusses the future of tourism experiences in the AI context.

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In wrapping up, the vast body of literature and studies reviewed here paints a clear picture: AI-powered personalization is not just enhancing tourist experiences—it’s redefining them. As AI continues its rapid evolution, the tourism industry stands on the cusp of even more groundbreaking innovations.

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Previous posts:

AI in Tourism: Revolutionizing Personalized Experiences and Operational Efficiency – Part 1 of 8: http://www.andrearossi.it/en/ai-tourism-personalized-experiences-operational-efficiency/

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AI-Powered Personalization: Elevating Tourist Experiences – Part 2 of 8: http://www.andrearossi.it/en/ai-powered-personalization-elevating-tourist-experiences/

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#AIinTourism #PersonalizedTravel #TouristExperience #TravelTech #LiteratureReview #TravelInnovation #AIPersonalization #TourismResearch #SmartTourism

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REFERENCES

  • AIFinesse. (2023). AI in Tourism: 2023 and Beyond. Retrieved from https://www.aifinesse.com/ai-in-tourism-2023-and-beyond/
  • Amadeus. (2023). Artificial Intelligence | Amadeus. https://amadeus.com/en/solutions/airlines/artificial-intelligence
  • Booking.com. (2018). Booking.com reveals the top travel predictions for 2019. Retrieved from https://globalnews.booking.com/bookingcom-reveals-the-top-travel-predictions-for-2019/
  • Buhalis, D. (2020). Technology in tourism-from information communication technologies to eTourism and smart tourism towards ambient intelligence tourism: a perspective article. Tourism Review.
  • Buhalis, D., & Leung, R. (2020). Smart hospitality—Interconnectivity and interoperability towards an ecosystem. International Journal of Hospitality Management, 85, 102433.
  • Buhalis, D., & Moldavska, A. (2022). Smart tourism and competitive advantage for stakeholders. Tourism Review.
  • Chan, N. L., & Guillet, B. D. (2018). Investigation of social media marketing: how does the hotel industry in Hong Kong perform in marketing on social media websites? Journal of Travel & Tourism Marketing, 31(8), 961-972.
  • Chen, Y., Xu, Z., & Gretzel, U. (2020). The impact of artificial intelligence-powered personalization on tourist satisfaction: A large-scale field experiment. Tourism Management, 80, 104170.
  • Chunduri, P. K. (2020). Effects of Use of Personalised Artificial Intelligence and Robot Application on Customer Service in the Tourism Industry. International Journal of Advanced Science and Technology, 29(12), 1594-1600.
  • Dataconomy. (2023). Is AI Technology The Future Of Travel? Retrieved from https://dataconomy.com/2023/08/03/is-ai-technology-the-future-of-travel/
  • Dawes, J. (2023). Amazon Web Services Execs on AI ‘Hyper-Personalization’ in Travel. Skift. Retrieved from https://skift.com/2023/06/27/amazon-web-services-execs-on-ai-hyper-personalization-in-travel/
  • Dunne, D. (2022). The Future Of Personalization In The Travel Industry. Forbes. Retrieved from https://www.forbes.com/sites/danadunne/2022/01/27/the-future-of-personalisation-in-the-travel-industry/
  • Dwivedi, Y. K., Hughes, D. L., Coombs, C., Constantiou, I., Duan, Y., Edwards, J. S., … & Upadhyay, N. (2023). Impact of COVID-19 pandemic on information management research and practice: Transforming education, work and life. International Journal of Information Management, 55, 102211.
  • Forbes Advisor. (2023). 25 Astonishing AI Statistics for 2023. Retrieved from https://www.forbes.com/advisor/business/ai-statistics/
  • GlobeNewswire. (2023). Artificial Intelligence (AI) in Travel and Tourism Thematic Intelligence Report 2023. Retrieved from https://www.globenewswire.com/news-release/2023/08/03/2718144/0/en/Artificial-Intelligence-AI-in-Travel-and-Tourism-Thematic-Intelligence-Report-2023.html
  • Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.
  • Gretzel, U., Sigala, M., Xiang, Z., & Koo, C. (2018). Smart tourism: Foundations and developments. Cham: Springer International Publishing.
  • Gupta, S., Modgil, S., Lee, CK. et al. The future is yesterday: Use of AI-driven facial recognition to enhance value in the travel and tourism industry. Inf Syst Front 25, 1179–1195 (2023). https://doi.org/10.1007/s10796-022-10271-8
  • Gursoy, D., Chi, C. G. Q., Lu, L., & Nunkoo, R. (2019). Antecedents and outcomes of travelers’ information-seeking behavior in the context of AI. Journal of Travel Research, 0047287519868314.
  • Inanc-Demir, L., & Kozak, M. (2019). The role of artificial intelligence in tourism. In Tourism in the City (pp. 221-232). Springer.
  • Koegler, S. (2023). AI Technology in Tourism: Personalized Experiences. AI & Machine Learning Tech Brief. Retrieved from https://www.aimltechbrief.com/index.php/bigdata/item/7561-ai-technology-in-tourism-personalized-experiences
  • Kong, H., Wang, L., & Fu, X. (2022). Artificial intelligence in tourism: state of the art and future research directions. Journal of Travel Research, 0047287520962792.
  • Leung, R. (2020). Developing a conceptual model for smart tourism research: a sustainability perspective. Sustainability, 12(9), 3832.
  • Li, X., Law, R., Vu, H. Q., Rong, J., & Zhao, X. (2018). Identifying emerging hotel preferences using Emerging Pattern Mining technique. Tourism Management, 67, 370-383.
  • Li, X., Wang, D., Andergassen, R., Huang, Y., & Zeng, B. (2020). Personalized travel recommendation: integrating the strengths of content-based and collaborative filtering. Information Technology & Tourism, 22, 555–573.
  • Li, X., Wang, D., Liang, X., Huang, D. (2020). China’s smart tourism destination initiative: A taste of the service-dominant logic. Journal of Travel Research, 0047287520913410.
  • Lv, Z., Song, H., Basiri, A., Jackson, M., & Kitchin, R. (2022). Recommender systems in tourism: state of the art and future directions. Tourism Review.
  • McCartney, G., & McCartney, A. (2020). The impact of artificial intelligence on the future of tourism. International Journal of Tourism Cities.
  • McKinsey & Company. (2018). An AI nation: Harnessing the opportunity of artificial intelligence in Denmark. Retrieved from https://www.mckinsey.com/~/media/McKinsey/Featured%20Insights/Europe/Harnessing%20the%20opportunity%20of%20artificial%20intelligence%20in%20Denmark/An-AI-nation-Harnessing-the-opportunity-of-AI-in-Denmark.pdf
  • Mich, L., Garigliano, R. ChatGPT for e-Tourism: a technological perspective. Inf Technol Tourism 25, 1–12 (2023). https://doi.org/10.1007/s40558-023-00248-x
  • Mileva, G. (2023). Top 10 AI Trends That Will Transform Businesses in 2023. Influencer Marketing Hub. Retrieved from https://influencermarketinghub.com/ai-trends/
  • O’Flaherty, K. (2023). 3 tech trends that will dominate the travel industry in 2023. The Next Web. Retrieved from https://thenextweb.com/news/3-tech-trends-travel-industry-2023
  • Pang, B., Chen, Y., & Zhang, X. (2020). The impact of AI-powered personalization on tourist experiences: A review of literature. Tourism Management, 79, 104064.
  • Philip L. Pearce, Mao-Ying Wu, Manuela De Carlo, Andrea Rossi “Contemporary experiences of Chinese tourists in Italy: An on-site analysis in Milan” nella rivista internazionale “Tourism Management Perspectives” 7 (2013) 34–37, Ed. Elsevier ltd (retrieved from https://www.academia.edu/4027130/Contemporary_experiences_of_Chinese_tourists_in_Italy)
  • Petar. (2023). The Future of AI in Tourism: Analyzing the Potential for Personalization and Experience Enhancement. Medium. Retrieved from https://medium.com/@peco4312/the-future-of-ai-in-tourism-analyzing-the-potential-for-personalization-and-experience-enhancement-b676e7ac58a8?source=rss——-1
  • PR Newswire. (2023). Global Artificial Intelligence (AI) in Travel and Tourism Intelligence Report 2023: AI-Driven Technologies Disrupting Travel, Enhancing Efficiency and Personalization. Retrieved from https://www.prnewswire.com/news-releases/global-artificial-intelligence-ai-in-travel-and-tourism-intelligence-report-2023-ai-driven-technologies-disrupting-travel-enhancing-efficiency-and-personalization-301891840.html
  • Ramzan, B., Bajwa, I.S., Jamil, N., & Mirza, F. (2019). An Intelligent Data Analysis for Hotel Recommendation Systems using Machine Learning. ArXiv, abs/1910.06669.
  • Research and Markets (2023). Global Artificial Intelligence (AI) in Travel and Tourism Intelligence Report 2023: AI-Driven Technologies Disrupting Travel, Enhancing Efficiency and Personalization. Retrieved from https://www.prnewswire.com/news-releases/global-artificial-intelligence-ai-in-travel-and-tourism-intelligence-report-2023-ai-driven-technologies-disrupting-travel-enhancing-efficiency-and-personalization-301891840.html
  • Revfine. (2023). 13 Key Technology Trends Emerging in the Travel & Tourism Industry. Retrieved from https://www.revfine.com/technology-trends-travel-industry/
  • Roh, S., Park, D., & Kim, J. (2020). The role of AI-powered personalization in tourism: A case study of a major South Korean travel agency. Journal of Travel Research, 59(2), 270-284.
  • Rossi Andrea (2020) “La comunicazione del turismo ai tempi del coronavirus” inserito nel fascicolo monografico del “Semestrale di studi e ricerche di Geografia”, dedicato all’impatto socio-territoriale della pandemia, “Epidemia, spazio e società. Idee e analisi per il dibattito e le politiche pubbliche” a cura di Angelo Turco, ISSN 1125-5218, pp. 57-71, XXXII, Fascicolo 2, luglio-dicembre 2020 (retrieved from https://www.semestrale-geografia.uniroma1.it/index.php/semestrale-geografia/article/view/17032/16354)
  • Rossi Andrea (2022), “Comunicazione Digitale per il Turismo”, Self-Publishing, Vercelli, 2022 – ISBN 9791221004175
  • Rossi Andrea (2023). “Il Buono, il Brutto e il Cattivo: Il “Triello” Del Metaverso”. Documenti geografici, 0(2), 673-678. doi:http://dx.doi.org/10.19246/DOCUGEO2281-7549/202302_47 (retrieved from https://www.documentigeografici.it/index.php/docugeo/article/view/478)
  • Rossi Andrea, Goetz Maurizio (2011) “Creare offerte turistiche vincenti con Tourist Experience Design”, ed. Hoepli, Milano, 2011
  • Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach. Pearson.
  • Saha, T. (2019). AI is Reimagining Travel Personalisation. Towards Data Science. Retrieved from https://towardsdatascience.com/ai-is-reimagining-travel-personalisation-c72685faa378
  • Samara, E., Tsimitakis, E., & Vasilakis, C. (2020). Artificial intelligence (AI) applied in Tourism: A Bibliometric review. In Proceedings of the 2nd International Conference on Tourism Research (pp. 1-10).
  • Stylos, N., Vassiliadis, C. A., Bellou, V., & Andronikidis, A. (2021). Destination images, holistic images and personal normative beliefs: Predictors of intention to revisit a destination. Tourism Management, 31(5), 525-545.
  • TheNextWeb. (2023). 3 tech trends that will revolutionize the travel industry in 2023. Retrieved from https://thenextweb.com/news/3-tech-trends-travel-industry-2023
  • Wang, Y., & Li, S. (2020). The impact of AI-powered personalization on tourist satisfaction: A case study of a Chinese travel website. International Journal of Tourism Research, 22(5), 721-732.
  • Xiang, Z., & Gretzel, U. (2019). Artificial intelligence in tourism: A review of recent research. Tourism Management, 70, 304-326.
  • Xiang, Z., Du, Q., Ma, Y., & Fan, W. (2017). A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism. Tourism Management, 58, 51-65.
  • Xiang, Z., Du, Q., Ma, Y., & Fan, W. (2020). A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism. Tourism Management, 77, 104041.
  • Xiang, Z., Du, Q., Ma, Y., & Fan, W. (2022). Artificial intelligence in tourism and hospitality: Bibliometric analysis and research agenda. Journal of Hospitality and Tourism Technology, 13(1), 1-20.
  • Yue, X., Li, X., & Li, Y. (2021). The future of tourism experience: A review of AI technology. Journal of Hospitality and Tourism Technology, 12(2), 244-259.

AI-Powered Personalization: Elevating Tourist Experiences – Part 2 of 8

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artificial intelligence (ai) and machine learning (ml) By MEFTAHYs-PROTOTYPE

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This is Part 2 of a 8-blog posts series “Exploring the Intersection of Artificial Intelligence and Tourist Experiences: Insights into AI-Driven Customization and Its Impact on Tourism”.

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1.3 The AI-Driven Evolution of Personalized Tourist Experiences

The tourism industry is witnessing a paradigm shift towards personalization, a pivotal element in amplifying the tourist experience. Personalization, at its core, is the art of tailoring services and offerings to resonate with the unique preferences of each traveler. This can manifest in myriad ways, from curated travel recommendations to bespoke travel packages. A striking insight from Smart Insights reveals that a staggering 63% of customers might disengage from brands that falter in personalization (Dunne, 2022).

Every traveler is a unique entity, characterized by distinct preferences, interests, and aspirations. Personalization in tourism is the bridge to these individual nuances, enhancing the overall experience and bolstering customer satisfaction. The ripple effect of effective personalization is evident in heightened customer loyalty, with travelers more inclined towards providers that resonate with their needs (Li et al., 2020).

Artificial Intelligence (AI) emerges as the linchpin in this personalization journey. AI’s prowess in sifting through vast data troves enables it to discern individual behaviors and preferences, paving the way for tailored offerings. For instance, AI-driven recommendation engines can curate travel suggestions rooted in a tourist’s historical data, online interactions, and inclinations, streamlining the booking process and elevating the overall experience (Dunne, 2022).

AI’s capabilities extend beyond mere recommendations. It can craft detailed tourist profiles, offering pinpointed suggestions for attractions, activities, and events. By harnessing data-driven insights, AI can anticipate attractions or experiences a traveler might gravitate towards, enabling providers to curate tailored suggestions (Li et al., 2020).

However, the realm of personalization transcends recommendations. McKinsey’s research underscores an evolving ecosystem where personalization permeates every facet of a traveler’s journey. This encompasses not just the hotel stay but extends to dining choices, entertainment venues, and even souvenir shopping, crafting a holistic, tailored experience (Dunne, 2022).

AI’s capabilities are further accentuated in deciphering unique customer journeys. The traditional linear travel journey has evolved into a dynamic, multi-faceted experience. AI stands as the beacon, understanding these intricate journeys and curating services in tandem (Saha, 2019).

The tangible impacts of AI are already evident. Smart hotels, for instance, leverage AI-driven chatbots and voice assistants to offer guests a seamless, personalized experience, from room service requests to dining reservations (Petar, 2023).

In summation, the synergy of AI and personalization is redefining the tourism landscape. By harnessing data-driven insights, AI crafts bespoke experiences, enhancing satisfaction and fostering loyalty.

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1.4 Charting the Course: Objectives and Research Queries

This blog posts series embarks on a journey to unravel the confluence of Artificial Intelligence (AI) and tourist experiences, with a spotlight on AI’s role in personalization. The driving force behind this exploration is AI’s transformative potential and the escalating significance of personalization in tourism (Buhalis, 2020; McCartney & McCartney, 2020).

To navigate this exploration, the paper poses pivotal research queries:

  1. How is AI sculpting personalized tourist experiences across global destinations?
  2. What ripple effects does AI-driven personalization have on travelers, service providers, and destination management entities?
  3. What future trajectories can we anticipate in AI-driven personalization, and how might these shape tourist experiences?

These queries are rooted in contemporary academic discourse on AI in tourism. Studies like those by Inanc-Demir & Kozak (2019) and Kong et al. (2022) offer insights into AI’s transformative role in tourism. Additionally, Dwivedi et al. (2023) shed light on AI’s overarching impacts across sectors, including tourism.

This blog posts series aspires to augment this academic narrative, offering a holistic view of AI-driven personalization in tourism and its ramifications on the tourist experience.

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#AIinTourism #PersonalizedTravel #TouristExperience #SmartTourism #TravelTech #AIPersonalization #TourismTrends #TravelInnovation #TourismResearch

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References

  • AIFinesse. (2023). AI in Tourism: 2023 and Beyond. Retrieved from https://www.aifinesse.com/ai-in-tourism-2023-and-beyond/
  • Amadeus. (2023). Artificial Intelligence | Amadeus. https://amadeus.com/en/solutions/airlines/artificial-intelligence
  • Booking.com. (2018). Booking.com reveals the top travel predictions for 2019. Retrieved from https://globalnews.booking.com/bookingcom-reveals-the-top-travel-predictions-for-2019/
  • Buhalis, D. (2020). Technology in tourism-from information communication technologies to eTourism and smart tourism towards ambient intelligence tourism: a perspective article. Tourism Review.
  • Buhalis, D., & Leung, R. (2020). Smart hospitality—Interconnectivity and interoperability towards an ecosystem. International Journal of Hospitality Management, 85, 102433.
  • Buhalis, D., & Moldavska, A. (2022). Smart tourism and competitive advantage for stakeholders. Tourism Review.
  • Chan, N. L., & Guillet, B. D. (2018). Investigation of social media marketing: how does the hotel industry in Hong Kong perform in marketing on social media websites? Journal of Travel & Tourism Marketing, 31(8), 961-972.
  • Chen, Y., Xu, Z., & Gretzel, U. (2020). The impact of artificial intelligence-powered personalization on tourist satisfaction: A large-scale field experiment. Tourism Management, 80, 104170.
  • Chunduri, P. K. (2020). Effects of Use of Personalised Artificial Intelligence and Robot Application on Customer Service in the Tourism Industry. International Journal of Advanced Science and Technology, 29(12), 1594-1600.
  • Dataconomy. (2023). Is AI Technology The Future Of Travel? Retrieved from https://dataconomy.com/2023/08/03/is-ai-technology-the-future-of-travel/
  • Dawes, J. (2023). Amazon Web Services Execs on AI ‘Hyper-Personalization’ in Travel. Skift. Retrieved from https://skift.com/2023/06/27/amazon-web-services-execs-on-ai-hyper-personalization-in-travel/
  • Dunne, D. (2022). The Future Of Personalization In The Travel Industry. Forbes. Retrieved from https://www.forbes.com/sites/danadunne/2022/01/27/the-future-of-personalisation-in-the-travel-industry/
  • Dwivedi, Y. K., Hughes, D. L., Coombs, C., Constantiou, I., Duan, Y., Edwards, J. S., … & Upadhyay, N. (2023). Impact of COVID-19 pandemic on information management research and practice: Transforming education, work and life. International Journal of Information Management, 55, 102211.
  • Forbes Advisor. (2023). 25 Astonishing AI Statistics for 2023. Retrieved from https://www.forbes.com/advisor/business/ai-statistics/
  • GlobeNewswire. (2023). Artificial Intelligence (AI) in Travel and Tourism Thematic Intelligence Report 2023. Retrieved from https://www.globenewswire.com/news-release/2023/08/03/2718144/0/en/Artificial-Intelligence-AI-in-Travel-and-Tourism-Thematic-Intelligence-Report-2023.html
  • Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.
  • Gretzel, U., Sigala, M., Xiang, Z., & Koo, C. (2018). Smart tourism: Foundations and developments. Cham: Springer International Publishing.
  • Gupta, S., Modgil, S., Lee, CK. et al. The future is yesterday: Use of AI-driven facial recognition to enhance value in the travel and tourism industry. Inf Syst Front 25, 1179–1195 (2023). https://doi.org/10.1007/s10796-022-10271-8
  • Gursoy, D., Chi, C. G. Q., Lu, L., & Nunkoo, R. (2019). Antecedents and outcomes of travelers’ information-seeking behavior in the context of AI. Journal of Travel Research, 0047287519868314.
  • Inanc-Demir, L., & Kozak, M. (2019). The role of artificial intelligence in tourism. In Tourism in the City (pp. 221-232). Springer.
  • Koegler, S. (2023). AI Technology in Tourism: Personalized Experiences. AI & Machine Learning Tech Brief. Retrieved from https://www.aimltechbrief.com/index.php/bigdata/item/7561-ai-technology-in-tourism-personalized-experiences
  • Kong, H., Wang, L., & Fu, X. (2022). Artificial intelligence in tourism: state of the art and future research directions. Journal of Travel Research, 0047287520962792.
  • Leung, R. (2020). Developing a conceptual model for smart tourism research: a sustainability perspective. Sustainability, 12(9), 3832.
  • Li, X., Law, R., Vu, H. Q., Rong, J., & Zhao, X. (2018). Identifying emerging hotel preferences using Emerging Pattern Mining technique. Tourism Management, 67, 370-383.
  • Li, X., Wang, D., Andergassen, R., Huang, Y., & Zeng, B. (2020). Personalized travel recommendation: integrating the strengths of content-based and collaborative filtering. Information Technology & Tourism, 22, 555–573.
  • Li, X., Wang, D., Liang, X., Huang, D. (2020). China’s smart tourism destination initiative: A taste of the service-dominant logic. Journal of Travel Research, 0047287520913410.
  • Lv, Z., Song, H., Basiri, A., Jackson, M., & Kitchin, R. (2022). Recommender systems in tourism: state of the art and future directions. Tourism Review.
  • McCartney, G., & McCartney, A. (2020). The impact of artificial intelligence on the future of tourism. International Journal of Tourism Cities.
  • McKinsey & Company. (2018). An AI nation: Harnessing the opportunity of artificial intelligence in Denmark. Retrieved from https://www.mckinsey.com/~/media/McKinsey/Featured%20Insights/Europe/Harnessing%20the%20opportunity%20of%20artificial%20intelligence%20in%20Denmark/An-AI-nation-Harnessing-the-opportunity-of-AI-in-Denmark.pdf
  • Mich, L., Garigliano, R. ChatGPT for e-Tourism: a technological perspective. Inf Technol Tourism 25, 1–12 (2023). https://doi.org/10.1007/s40558-023-00248-x
  • Mileva, G. (2023). Top 10 AI Trends That Will Transform Businesses in 2023. Influencer Marketing Hub. Retrieved from https://influencermarketinghub.com/ai-trends/
  • O’Flaherty, K. (2023). 3 tech trends that will dominate the travel industry in 2023. The Next Web. Retrieved from https://thenextweb.com/news/3-tech-trends-travel-industry-2023
  • Pang, B., Chen, Y., & Zhang, X. (2020). The impact of AI-powered personalization on tourist experiences: A review of literature. Tourism Management, 79, 104064.
  • Philip L. Pearce, Mao-Ying Wu, Manuela De Carlo, Andrea Rossi “Contemporary experiences of Chinese tourists in Italy: An on-site analysis in Milan” nella rivista internazionale “Tourism Management Perspectives” 7 (2013) 34–37, Ed. Elsevier ltd (retrieved from https://www.academia.edu/4027130/Contemporary_experiences_of_Chinese_tourists_in_Italy)
  • Petar. (2023). The Future of AI in Tourism: Analyzing the Potential for Personalization and Experience Enhancement. Medium. Retrieved from https://medium.com/@peco4312/the-future-of-ai-in-tourism-analyzing-the-potential-for-personalization-and-experience-enhancement-b676e7ac58a8?source=rss——-1
  • PR Newswire. (2023). Global Artificial Intelligence (AI) in Travel and Tourism Intelligence Report 2023: AI-Driven Technologies Disrupting Travel, Enhancing Efficiency and Personalization. Retrieved from https://www.prnewswire.com/news-releases/global-artificial-intelligence-ai-in-travel-and-tourism-intelligence-report-2023-ai-driven-technologies-disrupting-travel-enhancing-efficiency-and-personalization-301891840.html
  • Ramzan, B., Bajwa, I.S., Jamil, N., & Mirza, F. (2019). An Intelligent Data Analysis for Hotel Recommendation Systems using Machine Learning. ArXiv, abs/1910.06669.
  • Research and Markets (2023). Global Artificial Intelligence (AI) in Travel and Tourism Intelligence Report 2023: AI-Driven Technologies Disrupting Travel, Enhancing Efficiency and Personalization. Retrieved from https://www.prnewswire.com/news-releases/global-artificial-intelligence-ai-in-travel-and-tourism-intelligence-report-2023-ai-driven-technologies-disrupting-travel-enhancing-efficiency-and-personalization-301891840.html
  • Revfine. (2023). 13 Key Technology Trends Emerging in the Travel & Tourism Industry. Retrieved from https://www.revfine.com/technology-trends-travel-industry/
  • Roh, S., Park, D., & Kim, J. (2020). The role of AI-powered personalization in tourism: A case study of a major South Korean travel agency. Journal of Travel Research, 59(2), 270-284.
  • Rossi Andrea (2020) “La comunicazione del turismo ai tempi del coronavirus” inserito nel fascicolo monografico del “Semestrale di studi e ricerche di Geografia”, dedicato all’impatto socio-territoriale della pandemia, “Epidemia, spazio e società. Idee e analisi per il dibattito e le politiche pubbliche” a cura di Angelo Turco, ISSN 1125-5218, pp. 57-71, XXXII, Fascicolo 2, luglio-dicembre 2020 (retrieved from https://www.semestrale-geografia.uniroma1.it/index.php/semestrale-geografia/article/view/17032/16354)
  • Rossi Andrea (2022), “Comunicazione Digitale per il Turismo”, Self-Publishing, Vercelli, 2022 – ISBN 9791221004175
  • Rossi Andrea (2023). “Il Buono, il Brutto e il Cattivo: Il “Triello” Del Metaverso”. Documenti geografici, 0(2), 673-678. doi:http://dx.doi.org/10.19246/DOCUGEO2281-7549/202302_47 (retrieved from https://www.documentigeografici.it/index.php/docugeo/article/view/478)
  • Rossi Andrea, Goetz Maurizio (2011) “Creare offerte turistiche vincenti con Tourist Experience Design”, ed. Hoepli, Milano, 2011
  • Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach. Pearson.
  • Saha, T. (2019). AI is Reimagining Travel Personalisation. Towards Data Science. Retrieved from https://towardsdatascience.com/ai-is-reimagining-travel-personalisation-c72685faa378
  • Samara, E., Tsimitakis, E., & Vasilakis, C. (2020). Artificial intelligence (AI) applied in Tourism: A Bibliometric review. In Proceedings of the 2nd International Conference on Tourism Research (pp. 1-10).
  • Stylos, N., Vassiliadis, C. A., Bellou, V., & Andronikidis, A. (2021). Destination images, holistic images and personal normative beliefs: Predictors of intention to revisit a destination. Tourism Management, 31(5), 525-545.
  • TheNextWeb. (2023). 3 tech trends that will revolutionize the travel industry in 2023. Retrieved from https://thenextweb.com/news/3-tech-trends-travel-industry-2023
  • Wang, Y., & Li, S. (2020). The impact of AI-powered personalization on tourist satisfaction: A case study of a Chinese travel website. International Journal of Tourism Research, 22(5), 721-732.
  • Xiang, Z., & Gretzel, U. (2019). Artificial intelligence in tourism: A review of recent research. Tourism Management, 70, 304-326.
  • Xiang, Z., Du, Q., Ma, Y., & Fan, W. (2017). A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism. Tourism Management, 58, 51-65.
  • Xiang, Z., Du, Q., Ma, Y., & Fan, W. (2020). A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism. Tourism Management, 77, 104041.
  • Xiang, Z., Du, Q., Ma, Y., & Fan, W. (2022). Artificial intelligence in tourism and hospitality: Bibliometric analysis and research agenda. Journal of Hospitality and Tourism Technology, 13(1), 1-20.
  • Yue, X., Li, X., & Li, Y. (2021). The future of tourism experience: A review of AI technology. Journal of Hospitality and Tourism Technology, 12(2), 244-259.

AI in Tourism: Revolutionizing Personalized Experiences and Operational Efficiency – Part 1 of 8

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A person interacts with artificial intelligence By AndersonPiza

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This is Part 1 of a 8-blog posts series “Exploring the Intersection of Artificial Intelligence and Tourist Experiences: Insights into AI-Driven Customization and Its Impact on Tourism”.

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1. Introduction to AI’s Transformative Role in Tourism

1.1. A Glimpse into AI and its Expanding Horizons

Artificial Intelligence (AI) stands as a beacon of transformation across diverse sectors, with its applications ever-evolving. Within the tourism landscape, AI promises to redefine our travel experiences, spanning from tailored recommendations to the intelligent automation of myriad services.

At its essence, AI is a computer science domain dedicated to crafting systems adept at tasks typically necessitating human intellect. Such tasks encompass learning from new data, comprehending human language, pattern recognition, and decision-making. AI branches into two primary categories:

  • Narrow AI: Tailored for specific tasks like voice recognition.
  • General AI: Capable of any intellectual endeavor a human can undertake (Russell & Norvig, 2020).

Machine learning, a notable AI subset, revolves around crafting algorithms enabling computers to learn and decide based on data. A deeper dive into machine learning reveals deep learning, which employs multi-layered neural networks to decipher intricate data patterns. Such methodologies have found applications across sectors, achieving commendable outcomes (Goodfellow, Bengio, & Courville, 2016).

In tourism, AI’s prowess manifests in enhanced personalization, elevated customer service standards, and streamlined operations. For instance, AI-driven recommendation engines can curate travel suggestions tailored to a tourist’s preferences, amplifying the overall experience (Li, Wang, Liang, & Huang, 2020). Furthermore, AI’s automation capabilities, as seen in chatbots, offer real-time customer responses, leading to operational cost reductions (Gursoy, Chi, Lu, & Nunkoo, 2019).

Additionally, AI’s optimization capabilities have been harnessed in tourism. Predictive analytics powered by AI can forecast tourist demand, allowing businesses to refine their resources and offerings (Li, Law, Vu, Rong, & Zhao, 2018). AI’s prowess in analyzing online sentiments offers insights into customer preferences (Xiang, Du, Ma, & Fan, 2017).

In summation, AI’s potential in reshaping the tourism sector is undeniable. As it continues its evolutionary journey, its role in curating bespoke tourist experiences will only magnify.

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1.2. AI’s Growing Footprint in Tourism

The tourism industry is witnessing a paradigm shift, with AI emerging as a pivotal transformative agent. As elucidated by McCartney and McCartney (2020), AI encapsulates technologies proficient in emulating advanced human intelligence facets during problem-solving. With tourism undergoing a digital metamorphosis (Buhalis, 2020), AI’s initial imprints are discernible across the sector’s spectrum (Kong et al., 2022).

AI’s influence is evident in both operational and marketing facets of tourist destinations (Inanc-Demir & Kozak, 2019). From personalization engines and robots to forecasting systems and smart travel assistants, AI’s capabilities are vast. Its disruptive potential is already reshaping the industry’s core (Buhalis et al., 2019; Buhalis & Moldavska, 2022; Leung, 2020).

McCartney and McCartney’s (2020) research accentuates AI’s transformative potential in tourism. They advocate for AI’s capabilities in bolstering operational efficiency, refining customer service, and driving profitability. For instance, AI-empowered chatbots can offer round-the-clock interactive customer service, catering to guest queries, curating personalized recommendations, and even facilitating simple bookings. This not only elevates customer service standards but also trims response times, fostering guest loyalty and satisfaction.

Furthermore, AI’s analytical depth offers immense potential in hotel marketing. For example, AI can meticulously dissect customer data, segmenting users based on past behaviors, preferences, or demographics. This aids hotels in fine-tuning their marketing strategies, fostering customer engagement and loyalty (Lv et al., 2022).

However, the AI integration journey isn’t devoid of challenges. These encompass the quest for pristine data, the intricacies of harmonizing AI systems with human roles, and the hotel sector’s historical hesitance towards novel technologies (Chan et al., 2018; Stylos et al., 2021).

In conclusion, AI’s transformative potential for the tourism sector is monumental. By refining operational efficiency, elevating customer service, and enabling profound analytical insights, AI is poised to redefine the tourism industry’s interactions with its clientele.

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#AI #Tourism #Travel #AIinTourism #MachineLearning #DeepLearning #PersonalizedTravel #TourismTech #DigitalTransformation #SmartTourism #AIChatbots #TravelInnovation

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  • Leung, R. (2020). Developing a conceptual model for smart tourism research: a sustainability perspective. Sustainability, 12(9), 3832.
  • Li, X., Law, R., Vu, H. Q., Rong, J., & Zhao, X. (2018). Identifying emerging hotel preferences using Emerging Pattern Mining technique. Tourism Management, 67, 370-383.
  • Li, X., Wang, D., Andergassen, R., Huang, Y., & Zeng, B. (2020). Personalized travel recommendation: integrating the strengths of content-based and collaborative filtering. Information Technology & Tourism, 22, 555–573.
  • Li, X., Wang, D., Liang, X., Huang, D. (2020). China’s smart tourism destination initiative: A taste of the service-dominant logic. Journal of Travel Research, 0047287520913410.
  • Lv, Z., Song, H., Basiri, A., Jackson, M., & Kitchin, R. (2022). Recommender systems in tourism: state of the art and future directions. Tourism Review.
  • McCartney, G., & McCartney, A. (2020). The impact of artificial intelligence on the future of tourism. International Journal of Tourism Cities.
  • McKinsey & Company. (2018). An AI nation: Harnessing the opportunity of artificial intelligence in Denmark. Retrieved from https://www.mckinsey.com/~/media/McKinsey/Featured%20Insights/Europe/Harnessing%20the%20opportunity%20of%20artificial%20intelligence%20in%20Denmark/An-AI-nation-Harnessing-the-opportunity-of-AI-in-Denmark.pdf
  • Mich, L., Garigliano, R. ChatGPT for e-Tourism: a technological perspective. Inf Technol Tourism 25, 1–12 (2023). https://doi.org/10.1007/s40558-023-00248-x
  • Mileva, G. (2023). Top 10 AI Trends That Will Transform Businesses in 2023. Influencer Marketing Hub. Retrieved from https://influencermarketinghub.com/ai-trends/
  • O’Flaherty, K. (2023). 3 tech trends that will dominate the travel industry in 2023. The Next Web. Retrieved from https://thenextweb.com/news/3-tech-trends-travel-industry-2023
  • Pang, B., Chen, Y., & Zhang, X. (2020). The impact of AI-powered personalization on tourist experiences: A review of literature. Tourism Management, 79, 104064.
  • Philip L. Pearce, Mao-Ying Wu, Manuela De Carlo, Andrea Rossi “Contemporary experiences of Chinese tourists in Italy: An on-site analysis in Milan” nella rivista internazionale “Tourism Management Perspectives” 7 (2013) 34–37, Ed. Elsevier ltd (retrieved from https://www.academia.edu/4027130/Contemporary_experiences_of_Chinese_tourists_in_Italy)
  • Petar. (2023). The Future of AI in Tourism: Analyzing the Potential for Personalization and Experience Enhancement. Medium. Retrieved from https://medium.com/@peco4312/the-future-of-ai-in-tourism-analyzing-the-potential-for-personalization-and-experience-enhancement-b676e7ac58a8?source=rss——-1
  • PR Newswire. (2023). Global Artificial Intelligence (AI) in Travel and Tourism Intelligence Report 2023: AI-Driven Technologies Disrupting Travel, Enhancing Efficiency and Personalization. Retrieved from https://www.prnewswire.com/news-releases/global-artificial-intelligence-ai-in-travel-and-tourism-intelligence-report-2023-ai-driven-technologies-disrupting-travel-enhancing-efficiency-and-personalization-301891840.html
  • Ramzan, B., Bajwa, I.S., Jamil, N., & Mirza, F. (2019). An Intelligent Data Analysis for Hotel Recommendation Systems using Machine Learning. ArXiv, abs/1910.06669.
  • Research and Markets (2023). Global Artificial Intelligence (AI) in Travel and Tourism Intelligence Report 2023: AI-Driven Technologies Disrupting Travel, Enhancing Efficiency and Personalization. Retrieved from https://www.prnewswire.com/news-releases/global-artificial-intelligence-ai-in-travel-and-tourism-intelligence-report-2023-ai-driven-technologies-disrupting-travel-enhancing-efficiency-and-personalization-301891840.html
  • Revfine. (2023). 13 Key Technology Trends Emerging in the Travel & Tourism Industry. Retrieved from https://www.revfine.com/technology-trends-travel-industry/
  • Roh, S., Park, D., & Kim, J. (2020). The role of AI-powered personalization in tourism: A case study of a major South Korean travel agency. Journal of Travel Research, 59(2), 270-284.
  • Rossi Andrea (2020) “La comunicazione del turismo ai tempi del coronavirus” inserito nel fascicolo monografico del “Semestrale di studi e ricerche di Geografia”, dedicato all’impatto socio-territoriale della pandemia, “Epidemia, spazio e società. Idee e analisi per il dibattito e le politiche pubbliche” a cura di Angelo Turco, ISSN 1125-5218, pp. 57-71, XXXII, Fascicolo 2, luglio-dicembre 2020 (retrieved from https://www.semestrale-geografia.uniroma1.it/index.php/semestrale-geografia/article/view/17032/16354)
  • Rossi Andrea (2022), “Comunicazione Digitale per il Turismo”, Self-Publishing, Vercelli, 2022 – ISBN 9791221004175
  • Rossi Andrea (2023). “Il Buono, il Brutto e il Cattivo: Il “Triello” Del Metaverso”. Documenti geografici, 0(2), 673-678. doi:http://dx.doi.org/10.19246/DOCUGEO2281-7549/202302_47 (retrieved from https://www.documentigeografici.it/index.php/docugeo/article/view/478)
  • Rossi Andrea, Goetz Maurizio (2011) “Creare offerte turistiche vincenti con Tourist Experience Design”, ed. Hoepli, Milano, 2011
  • Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach. Pearson.
  • Saha, T. (2019). AI is Reimagining Travel Personalisation. Towards Data Science. Retrieved from https://towardsdatascience.com/ai-is-reimagining-travel-personalisation-c72685faa378
  • Samara, E., Tsimitakis, E., & Vasilakis, C. (2020). Artificial intelligence (AI) applied in Tourism: A Bibliometric review. In Proceedings of the 2nd International Conference on Tourism Research (pp. 1-10).
  • Stylos, N., Vassiliadis, C. A., Bellou, V., & Andronikidis, A. (2021). Destination images, holistic images and personal normative beliefs: Predictors of intention to revisit a destination. Tourism Management, 31(5), 525-545.
  • TheNextWeb. (2023). 3 tech trends that will revolutionize the travel industry in 2023. Retrieved from https://thenextweb.com/news/3-tech-trends-travel-industry-2023
  • Wang, Y., & Li, S. (2020). The impact of AI-powered personalization on tourist satisfaction: A case study of a Chinese travel website. International Journal of Tourism Research, 22(5), 721-732.
  • Xiang, Z., & Gretzel, U. (2019). Artificial intelligence in tourism: A review of recent research. Tourism Management, 70, 304-326.
  • Xiang, Z., Du, Q., Ma, Y., & Fan, W. (2017). A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism. Tourism Management, 58, 51-65.
  • Xiang, Z., Du, Q., Ma, Y., & Fan, W. (2020). A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism. Tourism Management, 77, 104041.
  • Xiang, Z., Du, Q., Ma, Y., & Fan, W. (2022). Artificial intelligence in tourism and hospitality: Bibliometric analysis and research agenda. Journal of Hospitality and Tourism Technology, 13(1), 1-20.
  • Yue, X., Li, X., & Li, Y. (2021). The future of tourism experience: A review of AI technology. Journal of Hospitality and Tourism Technology, 12(2), 244-259.

Destination Marketing Strategies: Spotlighting the Intrinsic Value of Tourism Locations

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Ayers Rock in the Northern Territory of Australia. UNESCO World Heritage Site. By SteveAllenPhoto999

The tourism industry has been confronted with evolving market conditions and shifting consumer preferences in recent years (Mariani et al., 2019). The rise in the demand for personalized and immersive experiences has compelled destination marketers to creatively promote the distinctive features of their locations. This article aims to shed light on inventive destination marketing strategies, drawing on recent examples from 2022, with a focus on local culture, history, natural wonders, and attractions.

The Essence of Destination Marketing

Destination marketing is a multifaceted concept that transcends the realms of mere promotion or advertising, encompassing the comprehensive set of strategies employed to manage and market a location or tourist destination (Hays, Page, & Buhalis, 2022). It is the art of leveraging the unique selling propositions (USPs) of a location to foster a compelling narrative that entices potential visitors.

Case Studies

Case Study 1: “What does a Belly do in Vienna?” – A Unique Approach to Destination Marketing
Overview
The Vienna Tourist Board launched a distinctive and whimsical campaign in 2022 titled “What does a Belly do in Vienna?” This campaign featured a nearly six-minute short film, showcasing a walking belly’s adventure in Vienna.

Concept
The campaign’s concept revolves around a rotund stomach that leaves its workout-obsessed human, Harry, feeling unwelcome. The belly embarks on a journey to Vienna, where it explores the streets, appreciates sublime artworks, and indulges in the famous Sacher torte. Eventually, Harry reunites with his belly, and they enjoy a delightful date in a Viennese restaurant.

Message
The underlying message of the campaign is the celebration of self-indulgence and self-love. The tagline, “The most beautiful way to love yourself is to indulge,” encapsulates the essence of the campaign. It encourages travelers to let loose and enjoy the pleasures that Vienna has to offer.

Impact
This campaign stood out for its creativity and cinematic quality. While it may have polarized opinions, its unique storytelling approach provided a fresh perspective on destination marketing. By personifying a belly and allowing it to explore the city, the campaign highlighted Vienna’s cultural richness and culinary delights in an engaging and memorable way.

Conclusion
“What does a Belly do in Vienna?” serves as an inspiring example of how destination marketing can transcend traditional boundaries. By embracing a bold and imaginative concept, Vienna’s campaign successfully spotlighted the intrinsic value of the city, inviting travelers to experience its charm and indulge in its pleasures. This case study illustrates the potential of creative storytelling in destination marketing, offering valuable insights for other locations looking to craft compelling and resonant campaigns.

Case Study 2: “G’day” – A Cinematic Journey with Tourism Australia
Overview
Tourism Australia launched a captivating campaign in 2022 titled “G’day,” featuring a nine-minute animated short film. This campaign was part of the broader “Come and say g’day” initiative, aimed at inviting travelers to explore the wonders of Australia.

Concept
The film stars Rose Byrne as Ruby, a toy kangaroo, and Will Arnett as Louie, a toy unicorn. The pair break out of a Great Barrier Reef gift shop and embark on an adventurous journey across Australia, visiting iconic locations such as Nitmiluk Gorge, Uluru, the Great Barrier Reef, and the Sydney Opera House.

Message
The underlying message of the campaign is the warmth and friendliness encapsulated in the Australian greeting “G’day.” The film emphasizes that “G’day” is the start of every good adventure in Australia, symbolizing an invitation to friendship and exploration.

Impact
The “G’day” campaign was a massive success, racking up 19 million YouTube views in its first month alone. The blend of animation, storytelling, and the portrayal of Australia’s diverse landscapes resonated with audiences worldwide. The campaign’s tagline, “If you’re not a friend yet, you will be mate,” further reinforced the welcoming spirit of Australia.

Conclusion
The “G’day” campaign by Tourism Australia serves as a remarkable example of how destination marketing can leverage storytelling and creativity to create a compelling narrative. By using animated characters to guide viewers through Australia’s breathtaking scenery, the campaign successfully spotlighted the intrinsic value of the destination. This case study underscores the power of innovative storytelling in destination marketing, highlighting the potential to connect with audiences on an emotional level and inspire them to explore new horizons.

Conclusion

The growing demand for authentic and diverse experiences amongst today’s tourists necessitates innovative destination marketing strategies. The crux of this marketing approach lies in understanding the intrinsic value of the destination, extracting its unique aspects, and presenting them in a compelling narrative. Destination marketers can learn from successful contemporary campaigns, such as Vienna and Australia, and creatively engage potential tourists with alluring yet authentic portrayals of their location.

References

  • Hays, S., Page, S.J., & Buhalis, D. (2022). Social media as a destination marketing tool: Its use by national tourism organisations. Current Issues in Tourism, 25(1), 42-56.
  • Lepitak, S. (Date not specified). “What Does a Belly on Legs Do When It Goes on Holiday to Vienna?”. Adweek. Retrieved from https://www.adweek.com/brand-marketing/what-does-a-belly-on-legs-do-when-it-goes-on-holiday-to-vienna/
  • Mariani, M., Baggio, R., Fuchs, M., & Höepken, W. (2019). Business intelligence and big data in hospitality and tourism: A systematic literature review. International Journal of Contemporary Hospitality Management, 31(12), 2864-2902.
  • Rossi A. (2022) Comunicazione Digitale per il Turismo, Amazon KPD self-published, 2022
  • Tourism Australia (2022a). Come and Say G’day. Retrieved from https://www.tourism.australia.com/en/resources/campaign-resources/come-and-say-gday.html
  • Tourism Australia. (2022b). G’day, the short film. [Video]. Retrieved from https://www.youtube.com/watch?v=P3PdfWVk7h8
  • Vienna. (2022). What does a Belly do in Vienna? I Shortfilm [Video]. Retrieved from https://www.youtube.com/watch?v=RYjcIS-urbk

#DestinationMarketing; #TourismMarketing; #TravelIndustry; #MarketingStrategies; #TravelTrends; #TourismInnovation; #ViennaTourism; #WhatDoesABellyDoInVienna; #ViennaAdventure; #CulturalRichness; #CulinaryDelights; #TourismAustralia; #GdayAustralia; #AustralianAdventure; #GreatBarrierReef; #SydneyOperaHouse; #ExploreAustralia; #CreativeStorytelling; #InnovativeMarketing; #AuthenticExperience; #TravelInspiration; #ExploreTheWorld

Destination Management: Building Sustainable and Thriving Tourist Locations

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Scenic view of The Lake Furnas. Sao Miguel, Azores. By JJFarquitectos

The convergence of sustainability and tourism has emerged as an impactful area of research in the 21st century, presenting a myriad of opportunities and challenges. In an era where the effects of overtourism and environmental degradation have become starkly apparent, sustainable destination management is pivotal in ensuring the longevity of tourist locations (Koens, Postma, & Papp, 2018).

Sustainable destination management encapsulates a holistic approach. This approach navigates the intricate balance between stimulating economic growth, advocating for environmental conservation, and endorsing active community involvement – the three pillars of sustainability (Bramwell & Lane, 2013).

The recent management strategies adopted by the Azores, a group of Portuguese islands, provide an inspiring example of this balance. To manage growing tourism numbers and prevent environmental degradation, the Azores implemented the “Azores for All” initiative in 2019, fostering sustainable and accessible tourism. This included developing sustainable accommodation options, ensuring accessibility for all tourists, and prioritizing local involvement in tourism planning and operations (Azores for All, 2019).

On the economic front, the success of the “Azores for All” initiative stimulated local economic growth by fostering an inclusive tourism economy and creating job opportunities for the local community (Azores for All, 2019).

The environmental conservation efforts have also been commendable. To minimize the carbon footprint, the Azores have encouraged the use of renewable energy in the tourism sector and focused on waste management, water conservation, and sustainable transport (Azores Government, 2020).

Moreover, the initiative has ensured that the local community remains at the heart of these development plans. It encourages local businesses and stakeholders to partake in decision-making processes related to tourism, promoting a sense of ownership and aligning development with community needs (Azores Government, 2020).

Therefore, the Azores exemplifies how strategic destination management can contribute to creating sustainable and thriving tourist locations, demonstrating the vitality of the sustainable destination management model for modern tourism.

References:

  • Azores for All (2019). About Us. Retrieved from https://azoresforall.com/en/
  • Azores Government (2020). Sustainable Azores. Retrieved from https://sustainable.azores.gov.pt/wp-content/uploads/2021/09/EC08_01PlanoAcao2019-2030_EN_s.pdf
  • Bieger, T., Wittmer, A., & Laesser, C. (2016). Transportation modes and travel behavior: The role of accessibility. Journal of Travel Research, 55(6), 673-686.
  • Bramwell, B., & Lane, B. (2013). Getting from here to there: Systems change, behavioural change and sustainable tourism. Journal of Sustainable Tourism, 21(1), 1-4.
  • Buckley, R., Zhong, L., Ma, J., & Chen, N. (2019). Sustainable tourism: Progress, challenges and opportunities. Journal of Sustainable Tourism, 27(7), 644-660.
  • Hall, C. M. (2020). Tourism and regional development: New pathways. Routledge.
  • Koens, K., Postma, A., & Papp, B. (2018). Is overtourism overused? Understanding the impact of tourism in a city context. Sustainability, 10(12), 4384.
  • McKercher, B., & Prideaux, B. (2014). Academic myths of tourism. Annals of Tourism Research, 46, 16-28.
  • Rossi A. (2022) Comunicazione Digitale per il Turismo, KDP
  • Sigala, M. (2018). Tourism and customer value co-creation: A critical overview and research agenda. Current Issues in Tourism, 21(4), 455-476.
  • UNWTO (2021). International Tourism and the Sustainable Development Goals – 2030 Journey. United Nations World Tourism Organization. Retrieved from https://www.unwto.org/global/publication/tourism-and-sustainable-development-goals-journey-2030
  • Weaver, D. (2020). Sustainable tourism: Theory and practice. Routledge.
  • Xiang, Z., Du, Q., Ma, Y., & Fan, W. (2017). A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism. Tourism Management, 58, 51-65.

#SustainableTourism; #DestinationManagement; #CommunityInvolvement; #EconomicGrowth; #EnvironmentalConservation; #ThrivingTouristLocations; #AzoresForAll; #TourismDevelopment; #BalancedTourism; #SustainableTravel; #ResponsibleTourism; #TourismTrends

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Targeted Online Communication in Tourism

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Young volunteers planting trees in green park together. By LightFieldStudios

With the development of digital media, which are more widespread and targeted compared to broadcast and generalist media, it is possible to carry out targeted communication towards specific audiences, stimulating the needs, desires, and dreams of particular groups (targets/segments/niches) of tourists with greater precision and detail.

For example, in Figure 1, we see the web page of the globalvolunteers.org website [globalvolunteers, 2023], which showcases different types of volunteer tourism (also known as volunteering or voluntourism). In fact, volunteer tourism, despite already being considered a niche tourism, is no longer a single concept but is divided into numerous categories that volunteers can choose based on their inclinations.

Analyzing the projects offered by the website, which correspond to different types of volunteer tourism, we have the following:

  • English conversation
  • Healthcare assistance abroad
  • Summer camps
  • Building repair and painting
  • Projects for children abroad
  • Parenting workshops
  • Classroom tutoring and teaching
  • Computer skills
  • Gardening
  • Food education
  • Health and hygiene education
  • Administration and finance
  • Home visits in villages
  • Food production
  • Elderly care
  • Literacy and math testing
  • GED tutoring (General Educational Development)
  • Women’s sewing/knitting cooperatives
  • Professional assistance
  • Housing assistance

Fig. 1 – The evolution of volunteer travel according to [globalvolunteers, 2023].

If we examine another volunteer travel website (Fig. 2), www.projects-abroad.co.uk/, we find a classification of different volunteer tourism types that partially differs from those found on the previous website. This demonstrates that even tourism niches are highly fluid today, and the challenge of effectively communicating one’s offerings lies in the ability to know, understand, and reach one’s specific target audiences.

Exploring the project menu on the website [projects-abroad, 2023], we encounter a new extensive list of possible volunteer tourism proposals (Fig. 2):

  • Volunteer abroad: Childcare; Wildlife conservation; Marine conservation; Teaching; Construction; Women’s empowerment; Youth development; Sports coaching; Archaeology; Refugee support.
  • Internship abroad: Medicine and healthcare; Medical internships; Law and human rights; Microfinance; Economics; Engineering; Journalism; Veterinary medicine and animal care; Social work; International development.
  • Study abroad: University abroad; Language learning.
  • Authentic adventures: Gap year projects; Going beyond: immersive gap year abroad 2021; Discovery tours; Food and wine tours; Traditional healing and wellness; Cultural immersion; Family trips.
  • Ethical consumerism travel: Wine and culture; Coffee and chocolate production; Fast fashion awareness; Plastic education and recycling.

Fig. 2 – The evolution of volunteer travel according to [projects-abroad, 2023].

In conclusion, the emergence of digital media has transformed the landscape of targeted communication, enabling precise and detailed messaging towards specific audiences in the tourism industry. This is exemplified by the evolution of volunteer tourism, which has expanded into numerous categories catering to volunteers’ diverse inclinations. Websites like globalvolunteers.org and projects-abroad.co.uk exemplify the fluidity of tourism niches, as they offer distinct classifications of volunteer tourism types. The challenge lies in effectively communicating offerings to these specific target audiences, necessitating a deep understanding and knowledge of their preferences. As the tourism industry continues to evolve, it is crucial for providers to adapt their communication strategies to effectively reach and engage their desired segments. By doing so, they can successfully promote their offerings and meet the evolving needs and desires of today’s travelers.

References:

[globalvolunteers, 2023] globalvolunteers.org

[projects-abroad, 2023] www.projects-abroad.co.uk/

[Rossi, A. 2022] Rossi A., Comunicazione Digitale per il Turismo, KDP, 2022

#TargetedCommunication; #DigitalMedia; #TourismIndustry; #VolunteerTourism; #Volunteering; #Voluntourism; #NicheTourism; #SpecificAudiences; #TourismSegments; #DigitalMarketing; #AudienceTargeting; #CommunicationStrategies; #TravelIndustry; #TourismTrends; #VolunteerTravel; #TourismEvolution; #TourismNiche; #InclusiveTourism; #TravelersPreferences; #SustainableTourism

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The Art of Tourism Marketing: Essential Strategies for Success

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Adventure tourism. By nd3000

In the ever-evolving landscape of tourism marketing, contemporary strategies have begun to place a significant emphasis on digital tactics, targeted outreach, and unique brand development. With the rise of social media and online platforms, the ability to effectively engage and entice potential tourists is an art unto itself (Sigala, 2018). This post will discuss the key strategies for successful tourism marketing, including targeting the right audience, building a strong brand identity, and creating engaging content across various platforms.

Targeting the Right Audience

Successful tourism marketing begins with a clear understanding of your target audience. In recent years, there has been a substantial shift towards personalization in marketing strategies, aimed at providing individualized experiences to potential tourists (Li, Li, & Hudson, 2013). The tourism industry has increasingly recognized the value of tailoring marketing content to align with the specific interests, values, and preferences of different demographic groups (Bieger, Laesser, & Wittmer, 2011). For example, millennial and Gen Z travelers show a marked preference for authentic and experiential travel experiences over traditional tourism offerings. As such, tourism marketing strategies have begun to highlight local and immersive experiences, geared towards these younger demographics.

Building a Strong Brand Identity

In an increasingly competitive market, establishing a robust and unique brand identity is essential for a destination to stand out. A strong brand identity not only differentiates a destination but also creates an emotional connection with potential tourists, promoting loyalty and repeat visits (Konecnik & Gartner, 2007). For instance, since 2018, several cities have launched innovative branding campaigns to highlight their unique attractions and appeal to specific demographic groups.

Creating Engaging Content Across Multiple Platforms

Creating and distributing engaging content across multiple platforms is another crucial component of successful tourism marketing. With the rise of social media and digital technologies, tourists now have access to a wide array of online content (Munar & Jacobsen, 2014). This content, whether it be stunning visual imagery, compelling narratives, or interactive virtual experiences, plays a significant role in influencing tourist behavior. In recent years, destinations have begun to leverage user-generated content, such as photos and reviews shared by tourists on social media platforms, to enhance their marketing efforts (Sigala, 2018).

In conclusion, the art of tourism marketing hinges on understanding your audience, crafting a strong brand identity, and creating engaging content that is distributed across multiple platforms. As the tourism industry continues to evolve and adapt to changes in consumer behavior and technological advancements, so too must the strategies used to market destinations (Sigala, 2018).

References:

  • Bieger, T., Laesser, C., & Wittmer, A. (2011). Consumer heterogeneity in the context of different levels of destination loyalty. Journal of Travel Research, 50(3), 274-287.
  • Konecnik, M., & Gartner, W. C. (2007). Customer-based brand equity for a destination. Annals of tourism research, 34(2), 400-421.
  • Li, X., Li, X., & Hudson, S. (2013). The application of generational theory to tourism consumer behavior: An American perspective. Tourism Management, 37, 147-164.
  • Munar, A. M., & Jacobsen, J. K. S. (2014). Motivations for sharing tourism experiences through social media. Tourism management, 43, 46-54.
  • Rossi, A. (2022) Comunicazione Digitale per il Turismo. Ed. Rossi
  • Sigala, M. (2018). Tourism and customer engagement management in the digital age. Journal of Travel & Tourism Marketing, 35(7), 771-779.

#TourismMarketingTrends; #DigitalEraTourism; #TargetAudienceInsights; #BrandIdentityInTourism; #EngagingContentCreation; #MultiPlatformMarketing; #PersonalizedTravelExperience; #AuthenticTravel; #TourismBrandingCampaigns; #UserGeneratedContent; #InfluencingTouristBehavior; #ImmersiveExperiences; #TourismEvolution; #DestinationMarketingStrategies; #SuccessfulTourismMarketing

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“Vilnius’ Belated Birthday Cards” advertising for Lithuania

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Group of young people taking selfie at a birthday party. Photo by vladans

In this brilliantly innovative advertising campaign, the creators playfully tackle the obscure nature of Vilnius, the capital of Lithuania, with a delightfully tongue-in-cheek approach that combines humor, nostalgia, and a sense of adventure. Drawing upon the city’s previous promotional campaigns, which daringly labeled Vilnius as “the g-spot of Europe” and playfully subverted the conventional Christmas carol narrative with the strikingly titled “Christmas in Vilnius: Amazing wherever you think it is,” the minds behind this effort have truly outdone themselves with their latest endeavor. Celebrating the momentous occasion of the city’s 700th anniversary in 2023, the campaign adopts a retro aesthetic that masterfully encapsulates the essence of the 1980s while simultaneously offering a fresh, contemporary twist.

The captivating video, which can be found on YouTube at https://www.youtube.com/watch?v=hAfZJRbgih0, humorously acknowledges the general public’s lack of awareness regarding Vilnius’ geographical location and historical significance. In doing so, the video presents a novel and engaging solution for commemorating the city’s 700th birthday: a “belated birthday e-card collection” that injects an irresistibly whimsical sense of fun into the proceedings. This inventive approach not only pokes fun at the fact that many people have overlooked Vilnius’ previous 699 birthdays, but also serves as a clever way to bring attention to this captivating city that has, until now, been relatively hidden from the international spotlight.

The video, steeped in nostalgia, walks viewers through a series of entertaining and visually striking cards, each more amusing than the last. The campaign encourages viewers to send their own belated birthday e-cards, thereby creating a sense of personal connection and investment in the celebration of this extraordinary milestone. The video concludes with an uplifting and memorable message, reminding viewers that while they may forget the date of the anniversary itself, the celebration of Vilnius’ rich 700-year history will be an unforgettable experience. The city, in all its vivacity and charm, is described as being “700 years young,” a testament to its enduring spirit and the ever-evolving cultural tapestry that makes it such an exceptional destination. This audacious and remarkable advertising campaign deftly showcases the indomitable character of Vilnius, inviting viewers to join in the festivities and discover the magic that awaits them in this enchanting, often-overlooked European gem.

#Vilnius700; #HiddenEuropeanGem; #BelatedBirthdayCards; #RediscoverVilnius; #VilniusGSpotOfEurope; #CelebrateVilnius; #700YearsYoung; #RetroVilnius; #VilniusAdventures; #UnforgettableVilnius; #DiscoverVilnius; #VilniusAnniversary; #WhimsicalVilnius; #VilniusMilestone; #VilniusUncovered; #InnovativeAdCampaigns; #VilniusRetroRevival; #RememberVilnius; #CulturalTapestryOfVilnius; #IndomitableVilnius

Tourism Innovation: How Technology is Shaping the Future of Travel

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Two girls having fun with vr glasses virtual reality inovation at home or in office. Ph by dvatri

The tourism industry has always been at the forefront of adopting new technology, seeking ways to enhance and streamline the travel experience. As we continue to dive deeper into the digital age, the scope of technological innovation in tourism has expanded exponentially. This article explores some of the latest developments in technology that are shaping the future of travel, offering more personalized, convenient, and immersive experiences for tourists around the world.

  1. Virtual Reality (VR) and Augmented Reality (AR)

One of the most significant technological advances in recent years is the integration of VR and AR into the tourism industry. These immersive technologies allow travelers to explore destinations and attractions from the comfort of their homes, offering a new way to research and plan trips (Guttentag, 2010). VR and AR are also transforming on-site experiences, with attractions and museums providing visitors with interactive and educational content through the use of smart glasses and mobile devices (Yung & Khoo-Lattimore, 2019).

  1. Artificial Intelligence (AI) and Machine Learning

AI and machine learning have become indispensable tools in the tourism industry. These technologies enable the creation of personalized itineraries, recommendations, and travel experiences tailored to individual preferences (Li, Wang, Liang, & Huang, 2018). AI-powered chatbots and virtual assistants have also made customer service more efficient, providing instant and accurate answers to travelers’ questions (Gretzel, 2011).

  1. Internet of Things (IoT)

The IoT is revolutionizing the tourism industry by connecting devices, systems, and services to create seamless travel experiences (Delen, Kuzey, & Uyar, 2018). Smart luggage with built-in tracking systems, smart hotel rooms with voice-activated controls, and connected transportation services are just a few examples of how IoT is enhancing the travel experience (Bujoreanu, 2017).

  1. Biometric Technology

Biometric technology is becoming increasingly prevalent in airports and other travel-related facilities, as it allows for faster and more secure identification and authentication of travelers (Morphis, 2016). Facial recognition, fingerprint scanners, and iris recognition systems are being used to expedite immigration and customs processes, as well as to enhance security measures (Bagaric & Xynas, 2017).

  1. Sustainable Travel Technologies

As the tourism industry faces growing concerns about its environmental impact, sustainable travel technologies are emerging to help address these issues (Bieger, Wittmer, & Laesser, 2017). Electric and hybrid transportation options, solar-powered accommodation facilities, and innovative waste management solutions are just a few examples of the technologies being implemented to reduce the industry’s carbon footprint (Pantano, Pizzi, Scarpi, & Dennis, 2017).

Conclusion

The ongoing integration of technology into the tourism industry is reshaping the way we travel, offering more personalized, convenient, and immersive experiences. With constant innovations in virtual reality, artificial intelligence, the Internet of Things, biometric technology, and sustainable travel solutions, the future of travel is undoubtedly an exciting one. As these technologies continue to advance, they will play an increasingly important role in driving the growth and evolution of the tourism industry, ultimately shaping a more connected and sustainable world.

Bibliography

Bagaric, M., & Xynas, L. (2017). Migration and human rights in the era of biometric identification: The case for privacy-enhancing migration controls. International Migration, 55(6), 97-110.

Bieger, T., Wittmer, A., & Laesser, C. (2017). Transportation mode and travel behavior: A study on the role of electric and autonomous vehicles. Journal of Sustainable Tourism, 25(6), 811-828.

Bujoreanu, I. C. (2017). Internet of things and smart tourism development. Valahian Journal of Economic Studies, 8(2), 41-46.

Delen, D., Kuzey, C., & Uyar, A. (2018). The impact of the Internet of Things on the tourism industry: An exploratory study. Journal of Hospitality and Tourism Technology, 9(3), 286-300.

Gretzel, U. (2011). Intelligent systems in tourism: A social science perspective. Annals of Tourism Research, 38(3), 757-779.

Guttentag, D. (2010). Virtual reality: Applications and implications for tourism. Tourism Management, 31(5), 637-651.

Li, X., Wang, D., Liang, X., & Huang, D. (2018). A personalized travel recommendation algorithm based on collaborative filtering and time-aware POI visit probability. Journal of Destination Marketing & Management, 8, 206-215.

Morphis, A. (2016). Biometrics and international travel. Journal of Airport Management, 10(3), 271-279.

Pantano, E., Pizzi, G., Scarpi, D., & Dennis, C. (2017). Competing through responsible innovation: The case of the travel industry. Journal of Business Research, 77, 139-148.

Rossi A., (2022) “Comunicazione Digltale per il Turismo”, Rossi A., 2022, ISBN 9791221004175

Yung, R., & Khoo-Lattimore, C. (2019). New realities: A systematic literature review on virtual reality and augmented reality in tourism research. Current Issues in Tourism, 22(17), 2056-2081

TourismInnovation, #FutureOfTravel, #TravelTech, #VirtualReality, #ArtificialIntelligence, #IoTinTravel, #BiometricTechnology, #SustainableTravel, #SmartTourism, #TravelTrends

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Spellbound by Sweden: the “Scandi horror flick” advertising campaign for Sweden

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Trail in a dark pine forest on the slopes of the mountain. The Swedish Forest By goinyk

The “Scandi horror flick” advertising campaign for Sweden is a truly innovative and captivating way to draw visitors to the country. In an effort to tap into the popularity of horror and suspense,

Visit Sweden has crafted a two-minute horror film that is both frightening and alluring.

The film, which can be found on YouTube at the link https://www.youtube.com/watch?v=X2nLmi6dCIE, is narrated by “Sweden” herself, and takes the viewer deep into the heart of the country’s forests, where they encounter a mysterious woman who turns out to be a huldra, a creepy forest nymph.

The video of the destination ADV campaign of VisitSweden

As the story unfolds, Sweden warns the viewer that what they are about to experience is not a dream, but a chilling reality. The film is expertly crafted, with a perfect balance of suspense and terror that will leave the viewer on the edge of their seat. The cinematography is stunning, capturing the beauty and majesty of the Swedish forest, while also hinting at the danger lurking just beneath the surface.

The “Scandi horror flick” campaign is not just a short film, however. It is part of a larger effort to promote “Kiln,” a “chilling audio story” by John Ajvide Indqvist, which is only available to be downloaded in the Swedish forest. This unique marketing approach is sure to pique the interest of travelers and horror fans alike, and encourage them to explore the country and experience the story for themselves.

The video, which has been well-received by viewers, has garnered a significant amount of positive comments and engagement. Many have praised the film for its suspenseful and creepy atmosphere, while others have applauded the stunning cinematography and attention to detail. Regardless of one’s personal opinion on the horror genre, it is hard to deny the impact that this advertising campaign has had, and the buzz that it has generated around Sweden as a travel destination.

The “Scandi horror flick” campaign is a bold and daring way to promote Sweden, and it is sure to leave a lasting impression on those who view it. Whether you are a fan of horror and suspense, or simply interested in exploring the beauty and mystery of the Swedish forest, the “Scandi horror flick” campaign is a must-see. So, if you’re looking for a truly unique and unforgettable experience, then why not plan a trip to Sweden today?

Bibliography

#ScandiHorrorSweden; #VisitSweden; #HorrorsOfSweden; #SwedishForests; #HuldraMystery; #KilnAudioStory; #CreepyTravel; #SwedenAdventure; #UniqueMarketing; #SuspensefulJourney; #DiscoverSweden

http://www.andrearossi.it/en/contacts/