Manlu Liu Headshot

Manlu Liu

Professor

Department of MIS, Marketing, and Analytics
Saunders College of Business
Program Director, MS in Business Analytics

Office Location

Manlu Liu

Professor

Department of MIS, Marketing, and Analytics
Saunders College of Business
Program Director, MS in Business Analytics

Education

MBA, The Hong Kong University of Science and Technology (Hong Kong); Ph.D., University of Arizona

Bio

Manlu Liu is the Benjamin Forman Endowed Professor for Research and the Director of Master in Business Analytics Program at the Saunders College of Business at Rochester Institute of Technology (RIT). Dr. Liu received her Ph.D. degree in Management Information Systems from Eller College of Management at the University of Arizona. She obtained an MBA degree major in Accounting and Finance from the Hong Kong University of Science & Technology. She had six years of working experience as a consultant and venture capital analyst. She also had financial analyst working experience at the investment banking.

 

Prior to join Rochester Institute of Technology, Dr. Liu was an Associate Professor at the School of Management at Zhejiang University in China. Her research interests include AI and Business Intelligence, Big Data, Accounting and Finance Analytics, Open Innovation, Blockchain Technology, and Health Informatics. She started to examine community-based open source phenomenon in 2005. She is one of the researchers who introduced this phenomenon to MIS academic field and developed research models for community source evolution and sustainability. Dr. Liu is passionate about how data analytics applies to accounting and finance field. She co-initiated the Advanced Certificate of Accounting and Financial Analytics. She designed and developed the graduate level Accounting Analytics course. She is the college representative of AI Task Force at RIT. Her research has been published in leading academic journals, including Accounting, Organizations and Society, Journal of Strategic Information Systems, Information and Organization, European Accounting Review, Information Systems Journal, Communications of the ACM, Journal of Global Information Management, Decision Support Systems, Journal of Systems and Software, Electronic Commerce Research etc. She served as a Guest Co-Editor for Journal of Electronic Commerce Research in 2012-2013. She serves as the member of the Editorial Review Board for the following journals: Electronic Commerce Research, Journal of Electronic Commerce Research, Electronic Government: An International Journal, and International Journal of Electronic Finance. She has been serving as a program chair/session chair/program committee member for various international conferences including the International Conference on Information Systems (ICIS), the Americas Conference on Information Systems (AMCIS), the Southwest Decision Science Institute Conference (SWDSI), Human Computer Interaction (HCI) International Conference, SIGBPS – Blockchain and Financial Analytics etc. She is co-chairing the Workshop on E-Business (WeB) 2024.


Areas of Expertise

Select Scholarship

Invited Article/Publication
Liu, M., Tang, J., Walton, S., Zhang, Y., & Zhao, X. (2024). Auditor Sustainability Focus and Client Sustainability Reporting. Accounting, Organizations and Society . .
Qin, Q., Yang, X., Zhang, R., Liu, M., & Ma, Y. (2022). An Application of Deep Belief Networks in Early Warning for Cerebrovascular Disease Risk. Journal of Organizational and End User Computing 34. 1-14.
Lui, M., Robin, A., Wu, K., & Xu, J. (2022). Blockchain's Impact on Accounting and Auditing: A Use Case on Supply Chain Traceability. Journal of Emerging Technologies in Accounting . .
Liu, M., Hansen, S., & Tu, Q. (2021). Sustaining Collaborative Software Development through Strategic Consortium. Journal of Strategic Information Systems 30. .
Liu, M., Hansen, S., & Tu, Q. (2020). Keeping the family together: Sustainability and modularity in community source development. Information and Organization 30. 100274.
Liu, M., Wu, K., & Xu, J. (2019). How will Blockchain Technology Impact Auditing and Accounting: Permissionless vs Permissioned Blockchain. Current Issues in Auditing 13. A19-A29.
Liu, M., Wu, K., Yang, R., & Yu, Y. (2019). Textual Analysis for Risk Profiles from 10-K Filings: Evidence from Audit Opinions. CPA Journal . .
Bui, Q., Hansen, S., Liu, M., & Tu, Q. (2018). The Productivity Paradox in Health Information Technology. Communications of the ACM 61. 78-85.
Zhang, R., Lu, X., Wu, W., Shang, X., & Liu, M. (2018). Mature or Emerging? The Impact of Treatment-Related Internet Health Information Seeking on Patients' Trust in Physicians. International Journal of Environmental Research and Public Health . .
Lu, X., Zhang, R., Wu, W., Shang, X., & Liu, M. (2018). The Relationship between Internet Health Information and Patient Compliance based on Trust: An Empirical Study. Journal of Medical Internet Research 20. .
Yang, R., Yu, Y., Liu, M., & Wu, K. (2017). Corporate Risk Disclosure and Audit Fee: A Text Mining Approach. European Accounting Review 27. 583-594.
Liu, M., Hull, C., & Hung, C. (2017). Starting Open Source Collaborative Innovation: The Antecedents of Network Formation in Community Source. Information Systems Journal 27. 643-670.
Wang, Q., Meng, L., Liu, M., Wang, Q., & Ma, Q. (2016). How do Social-based Cues Influence Consumers' Online Purchase Decisions? An Event-related Potential Approach. Electronic Commerce Research 16. 1-26.
Wang, Q., Yang, S., Liu, M., Cao, Z., & Ma, Q. (2014). An Eye-tracking Study of Website Complexity: from the Perspective of Cognitive Load. Decision Support Systems 62. 1-10.
Liu, M., Hansen, S., & Tu, Q. (2014). Institutions Coming Together � - The Community Source Approach to Software Development and the Case of Kuali. Communications of the ACM 57. 88-96.
Liu, M., Zeng, D., & Zhao, J. (2014). Cooperative Investment Decisions in Community Source Development. International Journal of Information Technology & Decision Making 13. 5-28.
Duncan, J., Wei, J., & Liu, M. (2013). Strategic and Tactical Electronic Business Solutions in Pharmacies and Drug Stores. International Journal of Services and Standards 8. 193-213.
Fan, S., Zhao, J., Dou, W., & Liu, M. (2012). A Framework for the Transformation of Conceptual to Logical Workflow Models. Decision Support Systems 54. 781-794.
Liu, M., Wang, H., & Zhao, J. (2012). Technology Flexibility as Enabler of Robust Application Development in Community Source: The Case of Kuali and Sakai. Journal of Systems and Software 85. 2921-2928.
Liu, M., Wu, X., Zhao, J., & Zhu, L. (2010). Outsourcing of Community Source: Identifying Motivations and Benefits. Journal of Global Information Management 18. 36-52.
Liu, M., Fan, S., Dou, W., & Zhao, J. (2009). Transformation Framework of Conceptual to Logical Business Process Models. China Journal of Information Systems 3. .
Liu, M., & Wang, D. (2002). How do China private sector enterprises attract international venture capital?. Economy Management (Chinese) . .
Guo, B., & Liu, M. (2002). Private Finance and Small Medium Enterprises Development � Empirical Analysis of Wenzhou. Economy Research (Chinese) . .
Published Conference Proceedings
Liu, M., Tang, J., Walton, S., Zhang, Y., & Zhao, X. (2024). Auditor Cybersecurity Focus and Client Cybersecurity Reporting. AIS/SET Midyear Meeting.
Lin, J., Liu, M., Qu, H., & Zhang, Y. (2024). Does Business Intelligence Facilitate Inside Trading?. The 23th of Workshop on E-Business.
Liu, M., Tang, J., Walton, S., Zhang, Y., & Zhao, X. (2023). Auditor Cybersecurity Focus and Client Cybersecurity Reporting. Hawaii Accounting Research Conference.
Xu, J., Liu, M., & Tang, J. (2023). The Market for AI Generated NFTs: Participants, Items, and Transactions. SIGBIT 2022 Pre-ICIS Workshop on Web3 Technologies and Applications.
Xu, J., Liu, M., & Tang, J. (2023). Understanding AI Generated NFTs through Opensea. The Americas Conference on Information Systems.
Zhang, Z., Luan, J., Liu, S., Lin, Z., & Liu, M. (2023). How Does Avatar Yield Public Cultural Confidence?. The 16th China Summer Workshop of Information Management.
Xu, J., Liu, M., & Tang, J. (2023). AI Generated NFTs: A New Market?. The 16th China Summer Workshop of Information Management.
Liu, M., Tang, J., Walton, S., Zhang, Y., & Zhao, X. (2022). Can Auditors Influence Clients' Sustainability Reporting? Evidence from Auditors' Tweets, Accounting. Organizations and Society Conference on Accounting for Sustainability and Climate Change.
Xing, J., Liu, M., & Xu, J. (2020). Emerging Technology Awareness in Accounting and Finance Industries through Twitter Data. 2020 Human-Computer Interaction (HCI) International.
Qiu, S., Xu, J., & Liu, M. (2018). Diffusion of Innovation in Accounting: How have the Big Four been Adopting Blockchain Technology?. Pre-ICIS SIGBPS 2018 Workshop on Blockchain and Smart Contract.
Bui, Q., Hansen, S., Liu, M., & Tu, Q. (2018). Caring and Coping: Adaptation, Use, and Resistance of Electronic Health Records Systems. Conference on Health IT and Analytics (CHITA).
Liu, M., Wu, K., Yang, R., & Yu, Y. (2018). Using Natural Language Processing Approach to Extract Risk Profile from 10-K Filings: Evidence from Audit Opinions on Financial Statement and Internal Control. The 2018 AAA Annual Meeting.
Liu, M., Wu, K., Yang, R., & Yu, Y. (2018). Using Natural Language Processing Approach to Extract Risk Profile from 10-K Filings. 2018 Ohio Region Meeting, American Accounting Association.
Yang, R., Yu, Y., Liu, M., & Wu, K. (2016). Corporate Risk Disclosures on Audit Pricing Decisions: A Text Mining Approach. 2016 China Summer Workshop of Information Management.
Yang, R., Yu, Y., Liu, M., & Wu, K. (2016). Corporate Risk Disclosure and Audit Fee: A Text Mining Approach. AAA Mid-Atlantic Region Meeting.
Yang, R., Yu, Y., Liu, M., & Wu, K. (2016). Corporate Risk Disclosure and Audit Fee: A Text Mining Approach. 2016 AAA Annual Meeting.
Liu, M., Hansen, S., & Tu, Q. (2015). Toward Sustainable Collaborative Software Development: A Case in Higher Education. Americas Conference on Information Systems.
Liu, M., Hull, C., & Hung, C. (2013). Antecedents of Community Source Network Formation: The Case of Kuali. 46th Hawaii International Conferences on Systems Sciences.
Liu, M., Wei, J., Tang, Z., & Tang, J. (2013). The Relationship between Environmental Performance and Firm Performance among SMEs in China. Journal of Business Research Special Issue Conference.
Liu, M., Hansen, S., & Tu, Q. (2012). Organizational Control in Community Source Projects. SIGBPS Workshop on Business Processes and Services.
Zhu, L., & Liu, M. (2012). A Regional Investigation of Institutional Environment, ICT Development, and Firm Performance in China. 6th China Summer Workshop in Information Management.
Liu, M., & Tu, Q. (2011). Community-based open source: The Phenomenon and Research Opportunities. International Conference on Enterprise Information Systems.
Liu, M., & Tu, Q. (2011). Business Values of Community Source: The Construct and a Research Framework. International Conference on Information Systems.
Liu, M., Zeng, D., & Zhao, J. (2008). A Cooperative Analysis Framework for Investment Decisions in Community Source Partnerships. Proceedings of the 2008 Americas Conference on Information Systems.
Liu, M., & Zhao, J. (2008). On Outsourcing and Offshoring in Community Source: The Case of Kuali. IEEE Symposium on Advanced Management of Information for Globalized Enterprises.
Fan, S., Liu, M., & Zhao, J. (2008). Transformation of Conceptual to Logical Business Process Models. Proceedings of the 2008 China Summer Workshop on Information Management.
Liu, M., Wheeler, B., & Zhao, J. (2008). On Assessment of Project Success in Community Source Development. Proceeding of the 2008 Information Conference on Information Systems.
Liu, M., Wang, H., & Zhao, J. (2007). Achieving Flexibility via Service-centric Community Source: the Case of Kuali. Proceedings of the 2007 Americas Conference on Information Systems.
Liu, M., & Zhao, J. (2007). Real Options Analysis of the Community Source Approach: Why Should Institutions Pay for Open Source?. Proceedings of the First China Summer Workshop on Information Management.
Liu, M., & Lu, X. (2003). Competitive Ability Analysis of Zhejiang High Technology Product Export. Proceedings of the 2003 IEEE International Conference on Management and Technology.
Lu, X., & Liu, M. (2003). Impact Analysis of WTO on Zhejiang Province High Technology Product Export. Proceedings of the 2003 IEEE International Conference on Management and Technology.
Liu, M., & Lu, X. (2000). Health Care Quality Management In China Hospitals. Proceedings of the 2000 IEEE International Conference on Management of Innovation and Technology.
Lu, X., & Liu, M. (2000). Adapting the SERVQUAL Scale to China Hospitals Services. Proceedings of the 2000 IEEE International Conference on Management of Innovation and Technology.
Full Length Book
(2011). International Comparisons of Information Communication Technologies: Advancing Applications. Liu, M., Wu, X., Zhao, L., & Zhu, L.
(2002). Accounting and Finance under E-Commerce Environment. Liu, M., & Ling, C.
(2001). Internet Enterprises Management, Higher Education Press (China), 2001 newsletter or source. Liu, M.,
Book Chapter
(2011). Outsourcing of Community Source: The Case of Kuali. International Comparisons of Information Communication Technologies: Advancing Applications. Liu, M., Wu, X., Zhao, L., & Zhu, L.
(2002). . Accounting and Finance under E-Commerce Environment. Liu, M., & Ling, C.
(2001). Internet Enterprises Management - one chapter. Internet Enterprises Management, Higher Education Press (China), 2001 newsletter or source. Liu, M.,

Currently Teaching

ACCT-745
3 Credits
The objective for this course is helping students develop a data mindset which prepare them to interact with data scientists from an accountant perspective. This course enables students to develop analytics skills to conduct descriptive, diagnostic, predictive, and prescriptive analysis for accounting information. This course focuses on such topics as data modeling, relational databases, blockchain, visualization, unstructured data, web scraping, and data extraction.
BANA-785
3 Credits
Students apply their mathematical, data analytic, and integrative business analytics skills in a complex project involving real or simulated data. Under the supervision of an advisor, students work in teams to perform a stipulated task/project and write a comprehensive report at the end of the experience. Subject to approval by the program director, an individual student internship/coop followed by an in-depth report may obtain equivalent credit.
MGIS-650
3 Credits
This course serves as an introduction to data analysis including both descriptive and inferential statistical techniques. Contemporary data analytics and business intelligence tools will be explored through realistic problem assignments.
MGIS-805
3 Credits
This Ph.D. research methodology course will introduce students to contemporary and advanced analytics techniques related to data acquisition, data preparation, data mining, and data reporting. Students will engage in hands-on experience with different techniques and will demonstrate the ability to carry a research project on their own using a combination of techniques taught in class.

In the News

  • October 6, 2021

    Students working in the Sklarsky Center for Business Analytics.

    Integrate Technology to Drive Business

    Through Saunders College of Business’ six science, technology, engineering, and mathematics (STEM) programs; master of business administration (MBA), accounting and analytics, business analytics, finance, global supply chain management (GSCM), and technology innovation management and entrepreneurship (TIME), students are taught by top business faculty, with strong applied research and industry experience.

  • April 15, 2021

    Dr. Manlu Liu instructs a class

    Saunders Rears the Future of Finance

    Traditional business practices work hand in hand with the latest industry innovations at Saunders College of Business. Here, master of science in finance students can explore traditional corporate finance and investment management as readily as the latest emerging fintech. The curriculum is embedded in understanding software and artificial intelligence and is taught by nationally-renowned faculty.

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