Travel Branding in Tourism 4.0: Case Study Vietnam Travel

Van, Hoang Thi Hong; Hieu, Vo Minh

doi:10.1177/0021909620935428

Cited by 12 publications

(12 citation statements)

References 12 publications

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“…These four strategies are the most important in promoting tourism in Aceh Province through E-Tourism. (Van & Hieu, 2020) Branding plays a role in shaping customer search behavior which means personalized brands effectively help travel businesses find potential customers and develop customized services to maintain business profits.…”

Section: Results and Dicussionmentioning

confidence: 99%

Branding Strategy "The Light Of Aceh" Through E-Tourism On Sustainable Tourism Development in Aceh Province

Ulfa¹,

Zaenuri²,

Rahmawati³

et al. 2021

JGPP

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One of the latest strategies in Indonesia in developing tourism is E-Tourism, a digital platform that provides convenience for foreign and domestic tourists. This study aims to determine the Branding Strategy "The Light Of Aceh" through E-Tourism in Sustainable Tourism Development in Aceh Province and its inhibiting factors. The research data comes from primary and secondary data related to the research focus. The data analysis technique used the Nvivo 12 plus analysis using crosstab through the chart and sociogram features. The results showed that the Branding strategy "The Light Of Aceh" through E-Tourism in sustainable tourism development uses 4 strategies, namely POSE (Paid Media, Owned Media, Social Media, and Endorser). Of the four strategies, the highest percentage is through social media digital platforms which are the most strategic in promoting tourism. The inhibiting factor is in terms of human resources that are still minimal, in terms of infrastructure that has not been managed properly in several tourist destinations, and the social conditions of the community are still minimal related to public awareness of managing tourist destination places properly so it is very important to support tourism actors to return or whether or not to Aceh for a tour.

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Section: Results and Dicussionmentioning

confidence: 99%

Branding Strategy "The Light Of Aceh" Through E-Tourism On Sustainable Tourism Development in Aceh Province

Ulfa¹,

Zaenuri²,

Rahmawati³

et al. 2021

JGPP

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show abstract

“…Penggunaan teori perilaku terencana (TPB), juga digunakan dalam situasi pandemi (Caserotti et al, 2021;Chew et al, 2021;. Ekstensi TPB digunakan untuk melihat hubungan linier antara risiko yang dipahami dengan motivasi wisata (Joo et al, 2021;Karl et al, 2021), hingga kemampuannya membentuk intensi perilaku berwisata (Nilashi et al, 2021;Van and Hieu, 2020;Villacé-Molinero et al, 2021).…”

Section: Berdasarkan Fenomena Tersebut Pembuktian Atas Kemampuan "Vak...unclassified

Intensi Perilaku Berwisata Alam Pasca Vaksinasi Covid-19

Hakim

Eddyono

Abdullah

2022

Jumpa

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The Covid-19 pandemic has had a destructive impact that has changed Indonesia’s tourism sector. One of the changes is the shift in preferences and behavior of tourists who switch to natural destinations, especially after the Covid-19 vaccination. This study aims to determine the factors that can trigger the emergence of behavioral intentions for nature tourism after the Covid-19 vaccination, especially in DKI. Jakarta has the highest infection rate, cure, and recipient of the Covid-19 vaccine in Indonesia. This study empirically applies the theory of planned behavior (TPB) to 156 respondents. Using Structural Equation Modeling (SEM), data processing and analysis tests found four significant and one insignificant correlation. Attitudes and subjective norms significantly influence the intention of nature tourism after the Covid-19 vaccination. Even subjective norms empirically can also influence the emergence of attitudes and perceived behavioral control of nature tourism behavior. However, the perceived behavioral control of nature tourism behavior cannot trigger the emergence of the nature tourism behavioral intention of DKI. Jakarta even though they have been vaccinated. Keywords: covid-19, theory of planned behavior (tpb), tourism, tourism behavioral intention, vaccine.

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“…“Sentiment analysis” takes textual comments as the object of research and is able to automatically determine the emotional tendencies of the subject of the comment. There are two main branches of sentiment analysis technology ( De Vos, 2019 ; Haynes, 2020 ; Hunold et al, 2020 ; Van and Hieu, 2020 ), namely, sentiment analysis based on machine learning and sentiment analysis based on semantic methods. The former can rely on certain algorithms to achieve intelligent classification of data by computers.…”

Section: Introductionmentioning

confidence: 99%

Big Data Recommendation Research Based on Travel Consumer Sentiment Analysis

Zhu

2022

Front. Psychol.

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More and more tourists are sharing their travel feelings and posting their real experiences on the Internet, generating tourism big data. Online travel reviews can fully reflect tourists’ emotions, and mining and analyzing them can provide insight into the value of them. In order to analyze the potential value of online travel reviews by using big data technology and machine learning technology, this paper proposes an improved support vector machine (SVM) algorithm based on travel consumer sentiment analysis and builds an Hadoop Distributed File System (HDFS) system based on Map-Reduce model. Firstly, Internet travel reviews are pre-processed for sentiment analysis of the review text. Secondly, an improved SVM algorithm is proposed based on the main features of linear classification and kernel functions, so as to improve the accuracy of sentiment word classification. Then, HDFS data nodes are deployed on the basis of Hadoop platform with the actual tourism application context. And based on the Map-Reduce programming model, the map function and reduce function are designed and implemented, which greatly improves the possibility of parallel processing and reduces the time consumption at the same time. Finally, an improved SVM algorithm is implemented under the built Hadoop platform. The test results show that online travel reviews can be an important data source for travel big data recommendation, and the proposed method can quickly and accurately achieve travel sentiment classification.

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Travel Branding in Tourism 4.0: Case Study Vietnam Travel

Cited by 12 publications

References 12 publications

Branding Strategy "The Light Of Aceh" Through E-Tourism On Sustainable Tourism Development in Aceh Province

Branding Strategy "The Light Of Aceh" Through E-Tourism On Sustainable Tourism Development in Aceh Province

Intensi Perilaku Berwisata Alam Pasca Vaksinasi Covid-19

Big Data Recommendation Research Based on Travel Consumer Sentiment Analysis

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