Design Science Research for Developing Risk Tourism Mapping Based on Visitor Sentiment Review

Berlian Rahmy Lidiawaty*, Anita Hakim Nasution, Adzanil Rachmadi Putra, Aris Tjahyanto

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

Real-time monitoring and assessment procedures at tourism sites are crucial. The lack of it may caused an operational incident. Therefore, this study aims to develop a design science research (DSR) methodology to produce an artifact in the form of a risk mapping system that can display a map of tourism sites in an urban area based on their risk group. The DSR approach has five stages to develop artifacts: explicate problem, define requirements, design and develop artifacts, demonstrate it, and evaluate it. The findings of this study propose suitable research strategies to develop artifacts based on relevant knowledge bases. It also discusses in depth the implementation of the explicate problem stage, which involves observing the root causes of operational accidents at tourism sites. It also finds that real-time monitoring of tourism sites can prevent accidents, and proposes utilizing reviews from visitors on Google Review, which can be categorized through text mining to identify risk factors based on Sapta Pesona's framework. This study provides valuable insights for developing monitoring systems in the field of tourism risk management using visitor review texts as an open-source resource.

Original languageEnglish
Pages (from-to)1672-1680
Number of pages9
JournalProcedia Computer Science
Volume234
DOIs
Publication statusPublished - 2024
Event7th Information Systems International Conference, ISICO 2023 - Washington, United States
Duration: 26 Jul 202328 Jul 2023

Keywords

  • design science research form risk tourism mapping
  • mapping tourism risk system
  • tourism review text
  • tourism risk monitoring

Fingerprint

Dive into the research topics of 'Design Science Research for Developing Risk Tourism Mapping Based on Visitor Sentiment Review'. Together they form a unique fingerprint.

Cite this