Hongyan Liang
Senior Lecturer of Business Administration
Listings
Educational Background
- Ph.D., Business Administration (Operations Management), Kent State University, 2017
- M.A., Financial Economics, Ohio University, 2012
- B.A., Economics, Shanxi University, 2010
Positions Held
- Senior Lecturer of Business Administration, Business Administration, University of Illinois at Urbana-Champaign, 2024 to present
- Lecturer of Business Administration, Business Administration, University of Illinois at Urbana-Champaign, 2018-2024
- Instructor of Business Administration, Business Administration, University of Illinois at Urbana-Champaign, 2017-2018
- Instructor, Kent State College of Business Administration, 2013-2016
- Data Analyst (Summer Intern), Roulston Research, 2011
Recent Publications
- Liu, Z., & Liang, H. Forthcoming. Enhancing default prediction in alternative lending: Leveraging credit bureau data and machine learning. Journal of Risk Model Validation, Incisive Media Ltd.
- Liu, Z., & Liang, H. Forthcoming. Racial disparities in conforming mortgage lending: A comparative study of fintech and traditional lenders under regulatory oversight. Fintech, MDPI.
- Liu, Z., & Liang, H. (2024). The prediction of mortgage prepayment risks in the early stages of loan origination: a machine learning approach. Journal of Risk, Infopro Digital Risk (IP) Limited, 27 (2), 14–43. link >
- Liu, Z., & Liang, H. (2022). Permanent layoff and consumer credit card loss forecasting. Managerial Finance, emerald insight. link >
- Shen, F., Guo, Q., Liang, H., & Liu, Z. (2022). Responses in Divergence of Opinion to Earnings Announcements: Evidence from American Depository Receipts. International Journal of Managerial Finance, Emerald Insight, (March 2023). link >
- Lai, S., Liang, H., Liu, Z., Pu, X., & Zhang, J. (2022). Ownership concentration among entrepreneurial firms: The growth-control trade-off. International Review of Economics & Finance, Elsevier, 78 (March 2022), 122-140. link >
Other Publications
Articles
- Liang, H., Guiffrida , A., Liu, Z., Patuwo , B., & Shanker, M. (2021). A Generalized Stochastic Cost–Volume–Profit Model. systems, MDPI, 9 (4). link >
- Liang, H., & Liu, Z. (2021). The impact of bank liquidity risk on risk-taking and bank lending: evidence from European bank. Journal of Finance & Banking Review, GATR Journals, 6 (2), 82-97. link >
- Hu , M., Jiang, X., Liang, H., Liu, Z., & Song , C. (2017). Online Sales in Startups. Pan Pacific Journal of Business Research, Institute for Academic Research, 8 (2), 20-35.
Conference Proceedings
- Liu, Z., & Liang, H. (2024). Technological innovation and risk assessment: A study on fintech firms in the conforming mortgage market. 17th China Summer Workshop on Information Management (CSWIM 2024.
Presentations
- Liu, Z., Liang, H., & Liu, C. (2022). The effects of debt liquidity risk on firms’ growth rate. Proceedings of the Academy of Finance 2022 Conference.
- Liang, H. (2016). Environmental Consequences of Inventory Stockout Decisions. International Symposium on Supply Chain Management.
- Liang, H. (2015). Recent Trends in Stochastic Cost Volume Profit Analysis. MBAA International Conference.
- Liang, H. (2015). Supply Chain Delivery Performance under Conditions of Learning and Forgetting DSI Conference.
- Liang, H. (2013). Modeling Supply Chain Delivery Performance: A Literature Review International Academy of Business and Economics.
- Liang, H. (2013). Economics of Managerial Neglect in Supply Chain Delivery Performance Considering Learning-Forgetting Effects Midwest Decision Science Institute Annual Conference 2013.
Honors and Awards
- RC Evans Data Analytics Scholar, University of Illinois at Urbana-Champaign, 2021-2023
- Disruption & Innovation Fellow, University of Illinois at Urbana-Champaign, 2021-2022
- Excellent Teacher's List, University of Illinois at Urbana-Champaign, 2018-2022
Service
- Referee, International Journal of Managerial Finance, 2022 to present
Teaching Interests
Supply Chain Management; Operations Management/Research; Management Science; Business Analytics; Data Analytics; Statistics; Quantitative Methods & Analysis; Purchasing and Supply Management; Strategic Sourcing; Project Management; SAP/ERP Solutions
Research Interests
Supply chain coordination; Production and operations management; Closed-loop supply chain; Value-added recovery; Pricing management; Product returns, Third party reverse logistics; Supply chain delivery performance; Risk management
Current Courses
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Operations Management (BADM 275) Operations Management is about developing, producing, and delivering goods and services that meet and exceed customer expectations. In this course, students will be introduced to decision making frameworks and techniques for effectively and efficiently managing operations through coordinated efforts across different organizations in a supply chain and across multiple areas within an organization. These multiple areas could be consumer analytics, research and development, finance, engineering, marketing, human resource management, sourcing, information systems, logistics, and accounting.
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Management Decision Models (BADM 374) Introduction to methods of operations research from an executive or managerial viewpoint, emphasizing formulation of business problems in quantitative terms; industrial applications of linear programming, dynamic programming, game theory, probability theory, queuing theory, and inventory theory.
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Operations Strategy (BADM 375) Students will learn how organizations can gain and sustain competitive advantage through their operations capabilities. The course content will cover manufacturing and service contexts across industries such as airline, consulting, entertainment, healthcare, hospitality, information technology, and retail. Cases and examples will be used to explore technologies such as blockchain and internet of things (IOT), issues such as supply chain risk and social responsibility, and business models such as alliances and sharing economy.
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