Hong‐Youl Ha

3.4k total citations · 1 hit paper
88 papers, 2.5k citations indexed

About

Hong‐Youl Ha is a scholar working on Organizational Behavior and Human Resource Management, Sociology and Political Science and Marketing. According to data from OpenAlex, Hong‐Youl Ha has authored 88 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Organizational Behavior and Human Resource Management, 51 papers in Sociology and Political Science and 48 papers in Marketing. Recurrent topics in Hong‐Youl Ha's work include Customer Service Quality and Loyalty (65 papers), Digital Marketing and Social Media (48 papers) and Technology Adoption and User Behaviour (35 papers). Hong‐Youl Ha is often cited by papers focused on Customer Service Quality and Loyalty (65 papers), Digital Marketing and Social Media (48 papers) and Technology Adoption and User Behaviour (35 papers). Hong‐Youl Ha collaborates with scholars based in South Korea, China and United States. Hong‐Youl Ha's co-authors include Swinder Janda, Helen Perks, Siva Muthaly, Huifeng Pan, Joby John, Raphaël K. Akamavi, Myung‐Soo Lee, Zhiqiang Liu, Philip J. Kitchen and Kwangsoo Kim and has published in prestigious journals such as Journal of Business Research, Frontiers in Psychology and Sustainability.

In The Last Decade

Hong‐Youl Ha

80 papers receiving 2.2k citations

Hit Papers

Effects of consumer perceptions of brand experience on th... 2005 2026 2012 2019 2005 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hong‐Youl Ha South Korea 22 1.6k 1.4k 1.1k 739 215 88 2.5k
Swinder Janda United States 22 1.2k 0.8× 996 0.7× 869 0.8× 698 0.9× 222 1.0× 39 2.2k
Jiseon Ahn South Korea 28 1.5k 1.0× 1.5k 1.0× 865 0.8× 472 0.6× 125 0.6× 108 2.4k
Mirella Kleijnen Netherlands 15 1.3k 0.8× 1.3k 0.9× 814 0.7× 969 1.3× 65 0.3× 28 2.5k
Ching‐Chan Cheng Taiwan 30 1.2k 0.8× 1.3k 0.9× 1.1k 1.0× 239 0.3× 165 0.8× 53 2.4k
Mark M.H. Goode United Kingdom 22 1.6k 1.0× 1.3k 0.9× 1.6k 1.4× 916 1.2× 64 0.3× 37 2.7k
Gaetano Aiello Italy 17 1.6k 1.0× 1.4k 0.9× 392 0.4× 368 0.5× 133 0.6× 37 2.3k
Kiseol Yang United States 22 1.1k 0.7× 1.3k 0.9× 490 0.4× 1.0k 1.4× 85 0.4× 37 2.1k
Arpita Khare India 31 2.3k 1.4× 1.1k 0.8× 617 0.6× 795 1.1× 544 2.5× 112 3.1k
Nathaniel D. Line United States 28 1.5k 0.9× 1.4k 1.0× 930 0.9× 186 0.3× 162 0.8× 51 2.4k
Philip J. Rosenberger Australia 22 1.1k 0.7× 1.1k 0.8× 365 0.3× 403 0.5× 114 0.5× 49 1.8k

Countries citing papers authored by Hong‐Youl Ha

Since Specialization
Citations

This map shows the geographic impact of Hong‐Youl Ha's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hong‐Youl Ha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong‐Youl Ha more than expected).

Fields of papers citing papers by Hong‐Youl Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hong‐Youl Ha. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hong‐Youl Ha. The network helps show where Hong‐Youl Ha may publish in the future.

Co-authorship network of co-authors of Hong‐Youl Ha

This figure shows the co-authorship network connecting the top 25 collaborators of Hong‐Youl Ha. A scholar is included among the top collaborators of Hong‐Youl Ha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hong‐Youl Ha. Hong‐Youl Ha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ha, Hong‐Youl, et al.. (2025). The evolution of customer defection intentions in the online travel agency industry. Current Issues in Tourism. 1–18.
2.
Ha, Hong‐Youl, et al.. (2025). Longitudinal impact of perceived fairness after service failures: Evidence from online travel agencies. International Journal of Hospitality Management. 128. 104177–104177. 1 indexed citations
3.
Ha, Hong‐Youl, et al.. (2024). Does service innovation reduce customer defection intentions among disappointed customers? A latent growth modeling approach in the hotel sector. International Journal of Hospitality Management. 124. 103954–103954. 1 indexed citations
4.
Ha, Hong‐Youl, et al.. (2023). The evolution of E-WOM intentions: A two time-lag interval approach after service failures. Journal of Hospitality and Tourism Management. 56. 147–154. 10 indexed citations
5.
Ha, Hong‐Youl, et al.. (2023). Do New Luxury Hotel Promotions Harm Member Customers?. Sustainability. 15(10). 8385–8385. 1 indexed citations
6.
Ha, Hong‐Youl, et al.. (2023). The dynamics of perceived justice and its outcomes in the online tourism sector: inter-relationships and temporal and carryover effects. Current Issues in Tourism. 27(24). 4740–4756. 6 indexed citations
7.
Ha, Hong‐Youl, et al.. (2023). The role of online reviews in restaurant selection intentions: A latent growth modeling approach. International Journal of Hospitality Management. 111. 103483–103483. 10 indexed citations
8.
Pan, Huifeng, et al.. (2020). Perceived risks and restaurant visit intentions in China: Do online customer reviews matter?. Journal of Hospitality and Tourism Management. 43. 179–189. 39 indexed citations
9.
Pan, Huifeng & Hong‐Youl Ha. (2020). Do Customers Pay Attention to Motivations and Switching Costs When They Terminate Their Relationships?. Frontiers in Psychology. 11. 798–798. 6 indexed citations
10.
Ha, Hong‐Youl, et al.. (2016). The Effects of Advertising Spending, Sales Promotion costs, and R&D on Marketing Performance Before and After the Global Financial Crisis : The Moderating Effect of Customer Satisfaction. 18(2). 101–126. 1 indexed citations
11.
Ha, Hong‐Youl, et al.. (2016). Arbitrator acceptability in international commercial arbitration. International Journal of Conflict Management. 27(3). 379–397. 4 indexed citations
12.
Ha, Hong‐Youl, et al.. (2014). The Moderating Effects of Fairness of Arbitration and Speed of Arbitration on Korean Traders' Attitudes toward Arbitration. Journal of Korea Trade. 18(2). 75–94. 2 indexed citations
15.
Ha, Hong‐Youl, et al.. (2012). Effects of Perceived Value and Perceived Risk on Customer Satisfaction and Behavioral Intention: A Comparison between Smartphone Users and Smartphone Non-Users. 17(3). 69–92. 3 indexed citations
16.
Ha, Hong‐Youl, Swinder Janda, & Siva Muthaly. (2010). Development of brand equity: evaluation of four alternative models. Service Industries Journal. 30(6). 911–928. 60 indexed citations
17.
Ha, Hong‐Youl, Swinder Janda, & Siva Muthaly. (2010). A new understanding of satisfaction model in e‐re‐purchase situation. European Journal of Marketing. 44(7/8). 997–1016. 138 indexed citations
18.
Ha, Hong‐Youl, et al.. (2010). Online relationship avoidance over time. Service Industries Journal. 32(9). 1451–1468. 5 indexed citations
19.
Ha, Hong‐Youl, et al.. (2009). Consumer typology and online travel websites: Heterogeneity between Taiwanese and Korean young adults repurchasing behavior. Swinburne Research Bank (Swinburne University of Technology).
20.
Ha, Hong‐Youl. (2005). The Relationships between 3-D Advertisings and Risk Perceptions on the Web: The Role of Brand and Emotion. Journal of Current Issues & Research in Advertising. 27(2). 55–65. 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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