Jianzheng Shi

Dr. Jianzheng Shi


Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 April 2025 in Journal of Electronic Business & Digital Economics
Verified
Journal Article
Open access
PDF file
JSJianzheng Shi
Jianzheng Shi
YWYue Wang
Yue Wang
Purpose: The integration of blockchain technology and artificial intelligence (AI) is reshaping the financial services industry, offering transformative solutions in areas such as risk management, fraud detection, regulatory compliance and operational efficiency. Design/methodology/approach: This paper presents a systematic literature review of over 100 peer-reviewed studies published between 2020 and 2024, analyzing the benefits, challenges and future directions of blockchain-AI applications in financial services. Our findings reveal that while blockchain enhances data integrity, security and transparency, AI drives predictive analytics, automation and decision-making efficiency. Findings: The synergy of these technologies holds significant potential yet faces critical challenges related to scalability, interoperability, regulatory compliance and ethical AI governance. We identify key research gaps, including the lack of standardized regulatory frameworks, limited real-world case studies and technical barriers to integration. To address these gaps, we propose a comprehensive theoretical framework linking technological advancements to regulatory and ethical considerations. This study contributes to both academic discourse and industry practice, offering actionable insights for financial institutions, technology developers and policymakers navigating the rapidly evolving FinTech landscape. Research limitations/implications: The rapidly evolving nature of blockchain and AI technologies may limit the long-term applicability of some findings. The study primarily focuses on published academic literature, potentially overlooking some industry-specific developments. Future research should address the identified gaps, particularly in cross-chain interoperability, ethical AI frameworks, and long-term economic impacts. Empirical studies and case analyses could further validate the theoretical insights presented in this review. Originality/value: This study provides a novel, comprehensive synthesis of blockchain and AI applications in financial services, offering valuable insights for both academics and practitioners. By critically examining the synergies and challenges of these technologies, it presents a unique perspective on their transformative potential in FinTech. The proposed research agenda addresses crucial gaps in current knowledge, guiding future investigations. The findings contribute to a deeper understanding of the complex interplay between technological innovation, regulatory frameworks and ethical considerations in the evolving landscape of financial services.

2 August 2023 in Eximia
Verified
Journal Article
Closed access
PDF file
JSJianzheng Shi
Jianzheng Shi
This paper explores the rapidly evolving landscape of asset tokenization within the broader context of Web 3.0. Asset tokenization, the process of converting rights to an asset into a digital token on a blockchain, presents a transformative opportunity for various sectors, especially finance. This paper delves into the technicalities of asset tokenization, discusses its potential impacts, and forecasts its role in the future of digital economies. It argues that asset tokenization, fueled by the advancements in Web 3.0, will play a pivotal role in the democratization of finance, reducing entry barriers, and creating more efficient and transparent systems.

1 January 2025 in Journal of Organizational and End User Computing
Verified
Journal Article
Open access
YWYue Wang
Yue Wang
JSJianzheng Shi
Jianzheng Shi
TOTerence T. Ow
Terence T. Ow
JYJia Yun
Jia Yun
YYYuanyu Yang
Yuanyu Yang
This study systematically reviews the literature on the impact of technological innovations in e-commerce on consumer behavior, using the SPAR-4-SLR methodology and TCCM framework. It consolidates research across various technologies, including websites, social media, live streaming, AR/VR, and AI. The analysis reveals a growing interest in this field post-2017, with a focus on websites and social media, but highlights a research gap in emerging technologies. Key theoretical frameworks are identified, emphasizing the need for integration to comprehensively understand consumer behavior. The review maps out antecedents, mediators, moderators, and outcomes, stressing the importance of longitudinal studies and advanced analytics. This approach aims to bridge research gaps and suggest future directions, enhancing theoretical and practical understanding of e-commerce technological innovations, and contributing to a more dynamic and consumer-centric e-commerce ecosystem.

1 June 2025
Verified
Book Chapter
Closed access
PDF file
JSJianzheng Shi
Jianzheng Shi
YWYue Wang
Yue Wang

1 January 2024 in World Scientific Annual Review of Fintech
Verified
Journal Article
Closed access
JSJianzheng Shi
Jianzheng Shi
DLDavid Kuo Chuen Lee
David Kuo Chuen Lee
WXWeibiao Xu
Weibiao Xu
YWYue Wang
Yue Wang

3 April 2026 in Financial Innovation
Verified
Journal Article
Open access
DDDing Ding
Ding Ding
YWYue Wang
Yue Wang
JSJianzheng Shi
Jianzheng Shi
YYYinghui Yu
Yinghui Yu