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Yeong-Hyeon Hwang

Biographic Data

ID3099831
NAMEYeong-Hyeon Hwang
GIVEN NAMESYeong-Hyeon
FAMILY NAMEHwang
SIGNATUREHWANG Y
AFFILIATIONSDong-A University
VERIFIEDNo
TOTAL WORKS4
TOTAL CITATIONS31
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2006
LATEST PUBLICATION YEAR2026
H-INDEX3
  • Unpacking the complexities of information overload in early-stage online booking

    Open Access•Jing Yin, Yeong-Hyeon Hwang et al.•ARTICLE•Information Development•2026

    Online Travel Agents (OTAs) have become pivotal marketing channels in the tourism and hospitality industry, providing tourists with a variety of rich and timely information. However, excessive information can lead to information overload, which can negatively affect the decision-making process and potentially lead to delayed or abandoned bookings. This study aims to investigate the role of information overload in tourists’ early decision-making i…

  • Users and Non-users of Smartphones for Travel

    Bo Meng, Min-Hyung Kim et al.•ARTICLE•Asia Pacific Journal of Tourism…•2014•Cited by: 3•References: 9

    This study aims to understand individuals' decision processes to adopt smartphone for travel and, thereafter, to explore differences in the factors influencing users and non-users. Based on the innovation-decision process model by Rogers [2003. Diffusion of innovations (5th ed.). New York, NY: Free Press], smartphone users are classified into user and non-user groups depending upon their use of smartphones for travel purposes. In order to empiric…

  • Unplanned Tourist Attraction Visits by Travellers

    Yeong-Hyeon Hwang, Yeong‐hyeon Hwang et al.•ARTICLE•Tourism Geographies•2011•Cited by: 8•References: 36

    A conceptual model of travellers' unplanned attraction visits is proposed based upon the literature related to intention–behaviour discrepancy and prospect theory and a survey of 551 travellers was used to test the proposed model. The results of the study indicate that unplanned en route decisions are significant parts of travel in terms of the number of attractions visited and the length of stay. Also, trip and traveller characteristics have a s…

  • Multicity trip patterns

    Open Access•Yeong-Hyeon Hwang, Yeong‐hyeon Hwang et al.•ARTICLE•Annals of Tourism Research•2006•Cited by: 20•References: 18

  • Multicity trip patterns

    Open Access•Yeong-Hyeon Hwang, Yeong‐hyeon Hwang et al.•ARTICLE•Annals of Tourism Research•2006•Cited by: 20•References: 18

  • Unplanned Tourist Attraction Visits by Travellers

    Yeong-Hyeon Hwang, Yeong‐hyeon Hwang et al.•ARTICLE•Tourism Geographies•2011•Cited by: 8•References: 36

    A conceptual model of travellers' unplanned attraction visits is proposed based upon the literature related to intention–behaviour discrepancy and prospect theory and a survey of 551 travellers was used to test the proposed model. The results of the study indicate that unplanned en route decisions are significant parts of travel in terms of the number of attractions visited and the length of stay. Also, trip and traveller characteristics have a s…

  • Users and Non-users of Smartphones for Travel

    Bo Meng, Min-Hyung Kim et al.•ARTICLE•Asia Pacific Journal of Tourism…•2014•Cited by: 3•References: 9

    This study aims to understand individuals' decision processes to adopt smartphone for travel and, thereafter, to explore differences in the factors influencing users and non-users. Based on the innovation-decision process model by Rogers [2003. Diffusion of innovations (5th ed.). New York, NY: Free Press], smartphone users are classified into user and non-user groups depending upon their use of smartphones for travel purposes. In order to empiric…

  • Multicity trip patterns

    Open Access•Yeong-Hyeon Hwang, Yeong‐hyeon Hwang et al.•ARTICLE•Annals of Tourism Research•2006•Cited by: 20•References: 18

  • Unplanned Tourist Attraction Visits by Travellers

    Yeong-Hyeon Hwang, Yeong‐hyeon Hwang et al.•ARTICLE•Tourism Geographies•2011•Cited by: 8•References: 36

    A conceptual model of travellers' unplanned attraction visits is proposed based upon the literature related to intention–behaviour discrepancy and prospect theory and a survey of 551 travellers was used to test the proposed model. The results of the study indicate that unplanned en route decisions are significant parts of travel in terms of the number of attractions visited and the length of stay. Also, trip and traveller characteristics have a s…

  • Users and Non-users of Smartphones for Travel

    Bo Meng, Min-Hyung Kim et al.•ARTICLE•Asia Pacific Journal of Tourism…•2014•Cited by: 3•References: 9

    This study aims to understand individuals' decision processes to adopt smartphone for travel and, thereafter, to explore differences in the factors influencing users and non-users. Based on the innovation-decision process model by Rogers [2003. Diffusion of innovations (5th ed.). New York, NY: Free Press], smartphone users are classified into user and non-user groups depending upon their use of smartphones for travel purposes. In order to empiric…

  • Unpacking the complexities of information overload in early-stage online booking

    Open Access•Jing Yin, Yeong-Hyeon Hwang et al.•ARTICLE•Information Development•2026

    Online Travel Agents (OTAs) have become pivotal marketing channels in the tourism and hospitality industry, providing tourists with a variety of rich and timely information. However, excessive information can lead to information overload, which can negatively affect the decision-making process and potentially lead to delayed or abandoned bookings. This study aims to investigate the role of information overload in tourists’ early decision-making i…

Business (4 works) · Advertising (3 works) · Marketing (3 works) · Psychology (3 works) · Computer Science (2 works) · Digital Marketing and Social Media (2 works) · Diverse Aspects of Tourism Research (2 works) · Economic and Environmental Valuation (2 works) · Geography (2 works) · Social Psychology (2 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae