The practices of virtual reality marketing in the tourism sector, a case study of Bali, Indonesia

Subawa, Nyoman Sri; Widhiasthini, Ni Wayan; Astawa, I Putu; Dwiatmadja, Christantius; Permatasari, Ni Putu Intan

doi:10.1080/13683500.2020.1870940

Cited by 52 publications

(26 citation statements)

References 64 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For instance, in virtual hotel tours, consumers encounter the hotel atmosphere and amenities in the form of 3D visualisations and videos. Customers reported higher levels IJCHM 34,3 of enjoyment through virtual hotel tours experiences, as VR experiences are believed to elicit greater customers arousal, greater focussed attention and time distortion than sightseeing VR experiences (Huang et al, 2020;Subawa et al, 2021). Furthermore, the research revealed that women are more influenced by VR in a virtual world than men (Lyu et al, 2021).…”

Section: Virtual/augmented Reality In Hospitality and Tourismmentioning

confidence: 87%

Artificial intelligence: a systematic review of methods and applications in hospitality and tourism

Doborjeh

Hemmington

Doborjeh

et al. 2021

IJCHM

151

View full text Add to dashboard Cite

Purpose Several review articles have been published within the Artificial Intelligence (AI) literature that have explored a range of applications within the tourism and hospitality sectors. However, how efficiently the applied AI methods and algorithms have performed with respect to the type of applications and the multimodal sets of data domains have not yet been reviewed. Therefore, this paper aims to review and analyse the established AI methods in hospitality/tourism, ranging from data modelling for demand forecasting, tourism destination and behaviour pattern to enhanced customer service and experience. Design/methodology/approach The approach was to systematically review the relationship between AI methods and hospitality/tourism through a comprehensive literature review of papers published between 2010 and 2021. In total, 146 articles were identified and then critically analysed through content analysis into themes, including “AI methods” and “AI applications”. Findings The review discovered new knowledge in identifying AI methods concerning the settings and available multimodal data sets in hospitality and tourism. Moreover, AI applications fostering the tourism/hospitality industries were identified. It also proposes novel personalised AI modelling development for smart tourism platforms to precisely predict tourism choice behaviour patterns. Practical implications This review paper offers researchers and practitioners a broad understanding of the proper selection of AI methods that can potentially improve decision-making and decision-support in the tourism/hospitality industries. Originality/value This paper contributes to the tourism/hospitality literature with an interdisciplinary approach that reflects on theoretical/practical developments for data collection, data analysis and data modelling using AI-driven technology.

show abstract

Section: Virtual/augmented Reality In Hospitality and Tourismmentioning

confidence: 87%

Artificial intelligence: a systematic review of methods and applications in hospitality and tourism

Doborjeh

Hemmington

Doborjeh

et al. 2021

IJCHM

151

View full text Add to dashboard Cite

show abstract

“…It is able to provide a full diving experience and present physically by taking advantage of audiovisual and 3D images (Hudson, Matson-Barkat, Pallamin, & Jegou, 2019;Tussyadiah, Wang, Jung, & Tom Dieck, 2018). Therefore, this extended reality technology is currently popular due to its benefit of providing a freehealth risk tourist trip, especially during the COVID-19 pandemic (Kwok & Koh, 2020;Subawa, Widhiasthini, Astawa, Dwiatmadja, & Permatasari, 2021). Further, UNWTO (2020) suggests VR as a technology that can bring back tourism conditions in the post-COVID-19 pandemic.…”

Section: Introductionmentioning

confidence: 99%

Untitled

2022

IJABR

View full text Add to dashboard Cite

“…Throughout the COVID-19 pandemic, the government has continued to work to revive Indonesian tourism via a variety of promotional measures. At the same time, they are adhering to health regulations consistent with international health standards (Musfiroh et al, 2021;Sentanu, 2015;Subawa et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Travel Corridor Arrangement Application Process by Governments of Indonesia and Singapore

2022

View full text Add to dashboard Cite

The discussion on the Travel Corridor Arrangement (TCA) between the Indonesian and Singaporean governments will continue in the future. However, technically and practically, there are still some issues that the Indonesian government has not effectively addressed, which shows that we are technically still waiting for the right decision while the number of cases of the COVID-19 pandemic is decreasing. This study aims to test different research hypotheses about the elements influencing Indonesia's readiness for TCA with the Singapore government. The technique used a qualitative literature review. To support the literature review with secondary data, the researchers increased the examination of research hypotheses using the NVivo program, which was then thoroughly assessed. The findings show that the researcher will also identify that Indonesia will be more sensitive to TCA than Singapore, so the decision is rejected, while the following hypothesis is that TCA also focuses on tourists, compared to business activities between the two countries, and that the Indonesian government has also proposed the implementation of RGL. However, RGL is not a priority, implying that TCA is effective. If RGL is emphasized, the hypothesis can be accepted. Based on some of these hypotheses' results, the first hypothesis's rejection is caused by the lack of Human Resource Management expertise in implementing TCA with the Singapore government. The conclusion is that TCA implementation in Indonesia is not yet ready to be implemented between Indonesia and Singapore during the COVID-19 pandemic.

show abstract

The practices of virtual reality marketing in the tourism sector, a case study of Bali, Indonesia

Cited by 52 publications

References 64 publications

Artificial intelligence: a systematic review of methods and applications in hospitality and tourism

Artificial intelligence: a systematic review of methods and applications in hospitality and tourism

Untitled

Travel Corridor Arrangement Application Process by Governments of Indonesia and Singapore

Contact Info

Product

Resources

About