Data-Driven Insights in Tourism and Hospitality: Smart Technologies and Data Science

A special issue of Tourism and Hospitality (ISSN 2673-5768).

Deadline for manuscript submissions: 31 December 2025 | Viewed by 1318

Special Issue Editors


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Guest Editor
School of Global Studies, Kyungsung University, Busan 48434, Republic of Korea
Interests: marketing; consumer behavior; service management; choice complexity; sustainability

Special Issue Information

Dear Colleagues,

This Special Issue focuses on the transformative role of smart technologies and data science in shaping the future of the tourism and hospitality industries. As these sectors increasingly adopt digital innovations, data-driven insights are becoming crucial for enhancing customer experiences, optimizing operations, and driving sustainable growth. This issue invites contributions that explore the application of big data analytics, artificial intelligence, machine learning, and IoT in tourism and hospitality. Topics of interest may include, but are not limited to, predictive modeling for demand forecasting, the personalization of services, smart destination management, and the impact of real-time data on decision-making processes. We encourage submissions that offer theoretical advancements, empirical research, and case studies that demonstrate the value of integrating smart technologies and data science in improving service quality, operational efficiency, and customer satisfaction. By bringing together diverse perspectives from academia and industry, this Special Issue aims to provide a comprehensive understanding of how data-driven strategies can revolutionize the tourism and hospitality sectors.

Dr. Hak-Seon Kim
Dr. Jue Wang
Dr. Je Eun Yoo
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Tourism and Hospitality is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • smart tourism
  • data-driven decision making
  • machine learning applications
  • operational efficiency
  • Industry 4.0 in tourism
  • tourism and hospitality transformation
  • digital innovation in hospitality
  • AI and IoT in tourism and hospitality

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Published Papers (1 paper)

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Research

16 pages, 1755 KiB  
Article
A Mixed-Method Approach to Grounded Theory Regarding the MICE Industry at Busan Exhibition & Convention Center
by Seieun Kim, Angellie Williady, Jue Wang and Hak-Seon Kim
Tour. Hosp. 2024, 5(4), 1012-1027; https://doi.org/10.3390/tourhosp5040057 - 25 Oct 2024
Viewed by 1022
Abstract
The MICE (Meetings, Incentives, Conventions, and Exhibitions) industry plays a crucial role in driving the rapid growth of the local economy, and Busan is emerging as a significant MICE destination in Asia. This study uses online customer reviews to acquire a more in-depth [...] Read more.
The MICE (Meetings, Incentives, Conventions, and Exhibitions) industry plays a crucial role in driving the rapid growth of the local economy, and Busan is emerging as a significant MICE destination in Asia. This study uses online customer reviews to acquire a more in-depth insight into BEXCO (Busan Exhibition & Convention Center)’s customer experiences and satisfaction levels. A meticulously curated dataset of 2339 Google Maps reviews was assembled using the Outscraper tool. KH Coder 3 software was employed for a comprehensive analysis, including word frequency and co-occurrence analysis. The co-occurrence analysis revealed three prominent clusters of keywords: ‘MICE’ (Meetings, Incentives, Conferences, and Exhibitions), ‘Facility’, and ‘Environment’. This study also conducted exploratory factor analysis (EFA) and identified six factors that play a significant role in shaping customer experiences at BEXCO. Using these six factors, this study performed regression analysis to determine their impact on customer satisfaction. The results show that Food and Beverage, Venue, Event Space, and Parking Facilities significantly affect customer satisfaction. This research aims to bridge existing knowledge gaps, offering valuable insights that can contribute to the strategic development and enhancement of BEXCO’s offerings, thereby influencing the overall impact on the MICE sector in Busan. Full article
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