2019
DOI: 10.1088/1742-6596/1175/1/012248
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The influence of TripAdvisor application usage towards hotel occupancy rate in Solo

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Cited by 10 publications
(12 citation statements)
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“…Agoda likewise offers clients the greatest arrangement of inn decisions and consistently endeavors to offer the most serious costs. By doing this, Agoda would like to make travel progressively reasonable, open, and pleasant for clients around the globe (Banerjee and Bonfield, 2019;Pradana and Setyawan, 2016;Górecka, 2020;Sumarsono, 2019).…”
Section: Results and Discussion 41 Acceleration Strategy With The Application Of E-tourism Platformmentioning
confidence: 99%
See 1 more Smart Citation
“…Agoda likewise offers clients the greatest arrangement of inn decisions and consistently endeavors to offer the most serious costs. By doing this, Agoda would like to make travel progressively reasonable, open, and pleasant for clients around the globe (Banerjee and Bonfield, 2019;Pradana and Setyawan, 2016;Górecka, 2020;Sumarsono, 2019).…”
Section: Results and Discussion 41 Acceleration Strategy With The Application Of E-tourism Platformmentioning
confidence: 99%
“…This site works in 47 nations around the globe. TripAdvisor, Inc. (NASDAQ: TRIP) oversees and works sites for 23 other the travel industry media names (Banerjee and Bonfield, 2019; Pradana and Setyawan, 2016; Górecka, 2020;Sumarsono, 2019).…”
Section: Results and Discussion 41 Acceleration Strategy With The Application Of E-tourism Platformmentioning
confidence: 99%
“…In contrast, they are not often used in the analysis of the online reputation of the sector, where the use of techniques which do not consider territory predominates [24,27,28,34,53,54]. For this reason, we propose a methodology concentrating on the use of geostatistics, which allow us to find out the spatial distribution of each variable analysed and also to determine territorial patterns in the positive and negative mentions.…”
Section: Methodsmentioning
confidence: 99%
“…These experiences have a considerable effect on the choice of the final destination by the future tourist and are currently essential for the management of tourist accommodation [19][20][21][22]. Therefore, those with a positive online reputation can increase their prices and maintain their occupation level, while a negative reputation may lead to a drop in the number of tourists [23][24][25][26][27][28].…”
Section: Introductionmentioning
confidence: 99%
“…Yung-Chun et al, within their framework of data crawlers and visual analytics, used machine learning techniques for sentiment-sensitive tree construction, convolution tree kernel classification, aspect extraction, and category detection of The Hilton hotel brand's UGC at TripAdvisor for supporting decision makers via business intelligence [16]. Sumaronso et al analyzed TripAdvisor's impact on the actual occupancy in Surakarta (Indonesia) via manual searches and interviews with accommodation facilities' managers [17].…”
Section: Literature Reviewmentioning
confidence: 99%