2019年第九届中国业务过程管理大会(CBPM2019)
主题报告
报告题目

Blockchain Empowered Computational Trust for Financial Applications

报告时间

8月25日 8:30-9:20

报告人

J. Leon ZHAO

摘要

As an emerging model of computing, blockchain has the potential to innovate business operations by making digital business more trustworthy. Since 1953, databases have empowered business operations by automating data processing inside a firewall of the Internet. Nowadays, blockchain technologies promise to automate data flow across organizational boundaries. In this talk, the speaker will explore how blockchain computing will empower business trust. The key idea is that blockchain will push the frontier of trust by enabling new collaboration patterns via immutable process records, thereby making business partners more accountable and rewardable towards a closed loop of data flow. The outcome of improved business trust will be a very powerful platform economy that can be managed via smart contracts digitally. In this talk, the speaker will present a conceptual framework and associated mechanisms for blockchain-enabled business trust. The research issues of computational trust will be discussed in the context of supply chain finance.

简历

Prof. J. Leon ZHAO is Chair Professor in Information Systems, City University of Hong Kong where he was Head from 2009 to 2015. Before then, he was Interim Head and Eller Professor in MIS, University of Arizona. He holds Ph.D. from Haas School of Business, UC Berkeley. currently director of CityU Center on Global Internet Finance (since 2015), CityUSRI Lab on Enterprise Process Innovation and Computing (since 2007), and CityUCRI Center on Blockchain-centric Business Innovation (since 2017). His research has been funded by NSF, RGC, SAP, and IBM among other sponsors. He received IBM Faculty Award in 2005 and Chang Jiang Scholar Chair Professorship at Tsinghua University in 2009. His research is on information technology and management with current focus on FinTech and financial services, blockchain technology and applications, business analytics, and information security. His research articles have appeared in such journals as Management Science, MIS Quarterly, Information Systems Research, INFORMS Journal on Computing, IEEE Transactions, and ACM Transactions, among others.