The goal of behavioral-science research is truth. The goal of design-science research is utility. — MIS Quarterly, 2004
知之为知之，不知为不知，是知也。 — Confucius
Research Agenda 1: Token Platforms
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Do Users of Blockchain IT Infrastructure Value Environmental Sustainability? Evidence from Environmental Impacts Disclosures.[Working paper] [Slides]
Conferences: 2024 MIS Quarterly Virtual Paper Development Workshop, 2024 Greater Bay Area Finance Workshop
Abstract
While the environmental impact has become an important IT governance agenda in recent years, it is unclear whether its disclosure is valued by token holders of platforms based on blockchain IT infrastructure and how these platforms react to changing public awareness of their environmental impacts. We consider Elon Musk’s 2021 announcement that Tesla would suspend accepting Bitcoin as payment because of Bitcoin mining's environmental impact as a shock that dramatically increases awareness of Bitcoin mining's environmental impacts. We find that, subsequent to the shock, infrastructure platforms which have larger environmental impacts than application platforms, are more likely to disclose environmental impact information than application platforms and that their token market values grow at a slower rate, consistent with the increased awareness spills over to other token-based platforms. Furthermore, whereas pre-shock environmental impact disclosure by infrastructure platforms reduces token market value growth rates, post-shock disclosure has the opposite effect, consistent with green-costing and green-enhancing, respectively.
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When K-Pop Meets Blockchain: An Empirical Exploration of Voting Behavior via DAO.
Conferences: ICIS 2024, CIST 2024
Award: ICIS 2024 Best Short Paper Nominee
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Operational Transparency in the Blockchain Era: Examining the Impact of Different Types and Levels on User Engagement.
Conferences: ICIS 2024
Abstract
Public blockchains with smart contract functionality have revolutionized IT operations by enabling fully algorithmic processes and providing high transparency through realtime and detailed information disclosure. Yet, the impact of this IT operational model on user engagement remains largely unexplored. Leveraging the context of stablecoin platforms, particularly in light of the Terra-LUNA crisis, we construct a large-scale individual-level panel dataset from April 12 to June 1, 2022, and apply a cross-platform difference-in-differences approach. We find that, during crises, users can effectively distinguish between algorithmic and institutional IT operations, as well as their respective types of operational transparency. We also find that the presence of attackers switches user preferences for operational transparency. Higher levels of transparency, characterized by frequent and detailed information disclosures, may be perceived as catalysts for attacks in the post-crisis period, significantly impacting user engagement.
Research Agenda 2: Regulated Digital Currencies
Academic Papers
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Consumer Perceptions and Willingness to Adopt rCBDCs Before and After the e-HKD Pilot.[Working paper]
Abstract
This study investigates the public’s perception of retail central bank digital currency (rCBDC) and identifies the factors influencing its adoption. Conducted in collaboration with a prominent bank in Hong Kong, this research involved a hands-on experience with a prototype payment system making using of an e-HKD, being an rCBDC which could be implemented in Hong Kong. Participants’ opinions on rCBDCs were assessed through surveys conducted before and after their engagement with the e-HKD pilot. Initially, participants displayed a broadly positive attitude towards rCBDC, although no single factor emerged as a decisive influence on their adoption decision. However, the pilot experience statistically significantly altered perceptions, particularly regarding security, ease of payment, and promotional functions, thereby impacting their willingness to adopt rCBDC. This study underscores the importance of understanding consumer perceptions and suggests that these perceptions are subject to change through exposure to regulatory information campaigns, prototype experiences, and initial models. Consequently, the study recommends a cautious approach to interpreting the reliability of existing survey findings in this domain.
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Informational Experiment on Consumer's Perception of Central Bank Digital Currency as Liquidity Assets.
Conferences: International Conference on Central Bank Digital Currency and Payment Systems
Policy Papers
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Joint with HKUST School of Business and Management and HSBC Holdings plc (2023). “e-HKD Pilot Programme”. [Summary] [Hong Kong Monetary Authority Report].
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Yong Xia, Siyuan Jin, Bing Qu, Yingli Liu, Linzhen Yang. Joint with HSBC Bank (Singapore) Limited and HSBC Holdings plc (2021). “Global CBDC Challenge Report”. Awarded as Global CBDC Challenge Finalist (Top 5% in over 300+ submissions from 50+ countries) [Monetary Authority of Singapore Report]
Research Agenda 3: IT Management
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Do Software Performance Measurement Systems Increase Code Productivity? Evidence from a Quasi-Experiment.
Conferences: 2024 HKUST Business PhD Student Conference, CIST 2024.
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Extensional Knowledge Representation for Quantum Monte Carlo Analysis: A Design Science Approach.
Other Conference Proceedings
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Siyuan Jin, Ziyuan Li, Bichao Chen, Bing Zhu, Yong Xia (2023). “Software Code Quality Measurement: Implications from Metric Distributions”. 23rd IEEE International Conference on Software Quality, Reliability, and Security, Chiang Mai, Thailand. (QRS 2023). Short paper with oral presentaiton. Acceptance Rate: 21.47%. [Paper] [Slides] [IEEE]
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Siyuan Jin, Botong Xu, Philip Intallura, Yong Xia. “A UTXO-based Sharding Method for Stablecoin”. 4th IEEE International Conference on Blockchain Computing and Applications, San Antonio, USA. (BCCA 2022). Short Paper with Oral Presentation. [Paper] [Code]
Patent
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B. Zhu, Yong Xia, Z. Li, Siyuan Jin. (2024). “Network Analysis using optical quantum computing”. International Bureau, World Intellectual Property Organization. Publication No. WO2024/007565 A1.
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Siyuan Jin, Yong Xia. (2024). “Method for implementing network consensus algorithm”. International Bureau, World Intellectual Property Organization. Publication No. WO2024/007483 A1.
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Siyuan Jin, Yong Xia. (2024). “Transaction security for multi-tier transaction networks”. International Bureau, World Intellectual Property Organization. Publication No. WO2024/007527 A1.
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Siyuan Jin, Yong Xia. (2024). “Blockchain transaction sharding for improved transaction throughput.” International Bureau, World Intellectual Property Organization. Publication No. WO2024/011707 A1.
Supervising
- 2024.02 ~ now: Jieliang Yin (research assistant for CBDC project).
- 2022.10 ~ now: 7 Msc students on their year-level research projects (Co-supervised with Prof. Bei Zeng, Prof. Qiming Shao, Yuhan Huang and Yichi Zhang)
- After their research projects, Chang Xu, Shiguang Zhang, and Jiahui Wu got Ph.D. offers.
- Y. Liu received the Best Presentation Award of DDM 6980 Project Presentation.
- [Details]
Services
- Ad hoc Reviewer
- Workshop on Information Technologies and Systems (WITS 2024 X 2)
- International Conference on Information Systems (2023 ICIS X 2, 2024 ICIS X 2)
- the Pacific Asia Conference on Information Systems (PACIS X 2),
- the Quantum Information Processing (QIP X 1).
- Sep 2018 ~ Mar 2019: Director, Innovation Club for Science and Technology (SCUT)
- Mar 2018 ~ Sep 2018: Member, Innovation Club for Science and Technology (SCUT)
- Initializer cryptoSupplyData, cryptocurrency supply data free scraper.
- Initializer Quantum Finance Literature, Central Bank Digital Currency Literature
- Contributor design-and-analysis-of-algorithm