Proceedings of the 3rd International Conference on Business Law and Local Wisdom in Tourism (ICBLT 2022)

<Previous Article In Volume
Next Article In Volume>

An Approach of the Big Data Analysis on Customer Satisfaction in Bali’s Luxury Hotels and Resorts Through Wellness Attributes

Authors
Angellie Williady1, Hyun-Jeong Ban1, *
1School of Global Studies, Kyungsung University, Busan, 48434, Korea
*Corresponding author. Email: hyeonhwa00@kyungsung.ac.kr Email: helenaban@ks.ac.kr
Corresponding Author
Hyun-Jeong Ban
Available Online 25 January 2023.
DOI
10.2991/978-2-494069-93-0_2How to use a DOI?
Keywords
Big Data; Customer satisfaction; Bali; Luxury; Hotels & Resort; Wellness
Abstract

Tourism is one of the key pillars supporting Bali’s economy and due to the COVID-19, it was facing a major drop. However, starting on April 1st 2022, Bali is opening for inbound travelers with a more relaxed COVID-19-related regulation as a part of border opening in the Southeast Asian country after a decline in the number of cases. Alongside the border opening, wellness tourism is gaining popularity due to the post-pandemic trend and Bali is one of the best wellness destinations in the world. This study will be examining 7 top luxury hotels & resorts in Bali using wellness attributes. Through Google Travel’s online review derived from Outscraper. To examine the attributes affecting customer satisfaction, this study utilized R program and UCINET 6.0 as part of data refining, processing and visualization. Followed by SPSS, used to perform Exploratory Factor Analysis and Linear Regression Analysis. This study will allow luxury hotels and resort managers be aware of how the wellness attributes affecting customer satisfaction and will be able to gain more financial benefit through it.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 3rd International Conference on Business Law and Local Wisdom in Tourism (ICBLT 2022)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
25 January 2023
ISBN
10.2991/978-2-494069-93-0_2
ISSN
2352-5398
DOI
10.2991/978-2-494069-93-0_2How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Angellie Williady
AU  - Hyun-Jeong Ban
PY  - 2023
DA  - 2023/01/25
TI  - An Approach of the Big Data Analysis on Customer Satisfaction in Bali’s Luxury Hotels and Resorts Through Wellness Attributes
BT  - Proceedings of the 3rd International Conference on Business Law and Local Wisdom in Tourism (ICBLT 2022)
PB  - Atlantis Press
SP  - 3
EP  - 9
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-494069-93-0_2
DO  - 10.2991/978-2-494069-93-0_2
ID  - Williady2023
ER  -