VLDB 2026 Research / reviewers in the wild / expert
Jun-Jie Hew
dblp:166/7263
· DBLP profile ↗
8ranked-venue papers
1as first author
4since 2021 · last 2022
0000-0003-4957-1050ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3Databases, data management, data science and information retrieval · 3 · 1 first-author · 3 since 2021Human-computer interaction and ubiquitous computing · 2 · 1 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | The Dark Side of Compulsory e-education: Are Students Really Happy and Learning during the COVID-19 Pandemic?abstractThe COVID-19 pandemic has deeply disrupted the education sector across the world. Consequently, all learning activities must be fully conducted online, leaving no choice for the already stressful students. Through the stressor-strain-outcome framework, this study aims to examine the antecedents and consequences of technostress faced by the students under the context of compulsory e-education. A total of 388 empirical data was gathered and analyzed with the Partial Least Squares Structural Equation Modeling. It was found that anxiety, delay in responses, and risk of arbitrary learning are all positively related to the technostress, which in turn associates negatively with learning satisfaction and learning performance. Unlike past studies that researched e-education from a voluntary enrollment perspective and, therefore, stressed the benefits; this study investigates the negative impacts of compulsory e-education on students. To mitigate future pandemics, we propose a set of strategies that could be implemented. Voon-Hsien Lee, Jun-Jie Hew, Lai-Ying Leong, Garry Wei-Han Tan, Keng-Boon Ooi |
Int. J. Hum. Comput. Interact. | 2 |
| 2022 | Towards a Cashless Society: The Imminent Role of Wearable TechnologyabstractWearable payment, which is the use of wearable technology to make payment, is anticipated to be the future of proximity mobile payment. However, the acceptance and use of wearable payment in Malaysia leave much to be desired. Additionally, this area of research is currently under-addressed. Thus, this study looks into the elements that influence the intention to adopt wearable payment in Malaysia. The results are robustly insightful in revealing the intention to adopt wearable payment in Malaysia. Hence, there are numerous implications to wearable technology companies, wearable payment system designers, merchants and other stakeholders. Overall, this research is anticipated to serve as one of the pioneering research for future studies related to this area. Xiu-Ming Loh, Voon-Hsien Lee, Garry Wei-Han Tan, Jun-Jie Hew, Keng-Boon Ooi |
J. Comput. Inf. Syst. | 4 |
| 2021 | Computer Science in ASEAN: A Ten-Year Bibliometric Analysis (2009-2018)abstractThe growth of a country is heavily depending on its investment over science and technology. In fact, the progress in computer science research serves as a vital factor in the development of a country. Interestingly, despite that the Association of Southeast Asian Nations (ASEAN) is located near each other, they do not share a similar level of ICT development, which leads to a digital divide among them. Thus, it is crucial to bibliometrically evaluate and compare the computer science research output over the latest decade (i.e., 2009 to 2018) among these countries. With the data gathered from the Web of Science, this study seeks to uncover the research focus of all ASEAN countries over the latest decade by analyzing the author keywords. Majority of the ASEAN was having a different research focus, explaining the varied levels of ICT development. Practical and theoretical implications are then offered accordingly. Jun-Jie Hew, Voon-Hsien Lee, Keng-Boon Ooi, Binshan Lin |
J. Comput. Inf. Syst. | 1 |
| 2021 | Mobile Social Cyberbullying: Why are Keyboard Warriors Raging?abstractCyberbullying on social media has become a serious matter and is the most rampant form of bullying among students nowadays. Accordingly, this study examines mobile social cyberbullying perpetration, a new form of cyberbullying perpetration that is conducted over mobile social media, through the theoretical lenses of Barlett and Gentile Cyberbullying Model (BGCM) and Mobile Technology Acceptance Model (MTAM). The Partial Least Squares Structural Equation Modeling analysis was performed on the 489 samples gathered from university students in order to obtain inferential statistics. Perceived anonymity and belief in the irrelevance of muscularity from the BGCM are positively related to mobile usefulness and mobile ease of use from the MTAM, while all of them are reported to have a positive association with the positive cyberbullying attitudes, which ultimately explain mobile social cyberbullying perpetration. From the results, it is ascertained that the well-founded integrated model has made a novel contribution toward the current literature of cyberbullying perpetration, particularly the rarely studied mobile social cyberbullying perpetration. Several suggestions on reducing the mobile social cyberbullying perpetration are then made to the practitioners, especially the government policymakers and mobile social media service providers. Keng-Boon Ooi, Voon-Hsien Lee, Jun-Jie Hew, Binshan Lin |
J. Comput. Inf. Syst. | 3 |
| 2020 | Wearable payment: A deep learning-based dual-stage SEM-ANN analysis
Voon-Hsien Lee, Jun-Jie Hew, Lai-Ying Leong, Garry Wei-Han Tan, Keng-Boon Ooi |
Expert Syst. Appl. | 2 |
| 2019 | A hybrid SEM-neural network analysis of social media addiction
Lai-Ying Leong, Teck-Soon Hew, Keng-Boon Ooi, Voon-Hsien Lee, Jun-Jie Hew |
Expert Syst. Appl. | 5 |
| 2018 | Unfolding the privacy paradox among mobile social commerce users: a multi-mediation approachabstractConsidering that privacy paradox is currently an underexplored research area, this study proposes a privacy paradox model to explain the reasons behind such phenomenon. Built upon the theoretical link of belief-intention-behaviour and the idea of multi-mediation, this study seeks to discover the relationship between concern for social media information privacy and usage intention, and the potential mediators that stand between such linkage. The results suggest that perceived mobility and social support do mediate the said linkage, and the model could reasonably explain usage intention, which surprisingly has a negative association with usage behaviour. Theoretical and practical implications are subsequently offered. Keng-Boon Ooi, Jun-Jie Hew, Binshan Lin |
Behav. Inf. Technol. | 2 |
| 2018 | Cloud computing in manufacturing: The next industrial revolution in Malaysia?
Keng-Boon Ooi, Voon-Hsien Lee, Garry Wei-Han Tan, Teck-Soon Hew, Jun-Jie Hew |
Expert Syst. Appl. | 5 |