Headshot of Xiaojin Liu

Xiaojin Liu

Assistant Professor

Area: Supply Chain Management and Analytics

  • Snead Hall
  • 301 W. Main Street
  • Box 844000
  • Richmond, VA, 23284-4000
  • Office: B4147
  • Alternate Website: http://xiaojinliu.com

Expertise

  • M&A Operations Assessment
  • Innovative Operations
  • Supply Chain Management

Interests

Research

  • Innovation and Technology Management for Sustainable and Responsible Operations Management, Empirical and Computation Methods with Statistics, Econometrics, and Data Analytics
Bio

Xiaojin (Jim) Liu is an assistant professor of Supply Chain Management and Analytics at the School of Business. His research is focused on developing and evaluating innovative and responsible operations around management practices related to human capital and technology. His work is always motivated by real world challenges in global supply chains that require firms to align their operations with the needs of multiple stakeholders. In particular, he aims to understand (i) how firms encompass innovative and responsible operation practices in the value creation process, and (ii) given the emerging need, how firms develop and manage their technology effectively.

To address research questions in these two streams, he conducts analysis through the application of empirical and computational methods involving statistics, econometrics, psychometrics, and data analytics. His broad set of skills related to large-scale data management and analysis are one of his distinct strengths.

Awards and Honors

  • Runner Up for the 2022 INFORMS TIMES Best Working Paper Award (Second Place), INFORMS Annual Meeting. (October 25, 2022).
  • Finalist for the INFORMS TIMES 2022 Best Working Paper, INFORMS Annual Meeting. (July 26, 2022).
  • Finalist for the International Management Division GWU-CIBER Best Paper on Emerging Markets Award, Annual Meeting of the Academy of Management. (May 27, 2021).
  • Best Paper of Academy of Management Annual Meeting Proceedings, Academy of Management Annual Meeting. (April 20, 2021).
  • Outstanding Reviewer for Decision Sciences Journal, Decision Sciences Institute. (November 18, 2018).

Research

Published Intellectual Contributions
Conference Proceeding
  • Kumar, P., Liu, X., Zaheer, A. (2021). (Best paper) Forged by fire: Home country IPR reforms and emerging market firm innovativeness in the U.S.. (1 ed., vol. 2021). Academy of Management Proceedings. DOI: 10.5465/AMBPP.2021.5
  • Liu, X., Yeung, A. C., Cheng, T. (2010). Technological Innovation and Competitive Advantages: What are Missing!. In Proceedings of the Fourth International Conference on Operations and Supply Chain Management (icoscm 2010). In Series of Operations and Supply Chain Management in China, Zhao, X, Zhu, G, Flynn, BB eds. (vol. 4).
Journal Article
  • Chen, K., Liu, X., Li, Y., Linderman, K. (in press). Government support and cross-border innovation: The effect of China's Innovative City Policy on Chinese firms' patenting in the U.S.. Production and Operations Management. DOI: 10.1111/poms.13941
  • Liu, X., Kou, Y., Shockley, J., Smith, J. (in press). How does supplier CSR performance help to expand exchange relationships with major buyers? The moderating role of supply-side and demand-driven uncertainty. Decision Sciences. DOI: https://doi.org/10.1111/deci.12551
  • Kumar, P., Liu, X., Zaheer, A. (2022). How much does the firm’s alliance network matter?. (8 ed., vol. 43, pp.1433-1468). Strategic Management Journal. DOI: 10.1002/smj.3379
  • Smith, J., Shockley, J., Anderson, S., Liu, X. (2022). Tension in the Emergency Department? The Impact of Flow Stage Times on Managing Patient-Reported Experiences and Financial Productivity. (3 ed., vol. 53, pp.514-556). Decision Sciences. DOI: http://dx.doi.org/10.1111/deci.12503
  • Adbi, A., Liu, X., Mishra, A. (2022). Technology licensing and productivity growth: Evidence from manufacturing firms in developing economies. (1 ed., vol. 24, pp.214–234). Manufacturing & Service Operations Management. DOI: 10.1287/msom.2020.0946
  • Kang, S., Liu, X., Kim, Y., Yoon, V. Y. (2021). Can bots help create knowledge? The effects of bot intervention in open collaboration. (vol. 148). Decision Support Systems. DOI: 10.1016/j.dss.2021.113601
  • Shockley, J., Collignon, P., Liu, X. (2020). Why Do So Many Good Assembly Plants Close? Toward a New Plant Stakeholder and Total Lifecycle Management Strategy. (1 ed., vol. 5). Rutgers Business Review.
  • Liu, X., Mishra, A., Goldstein, S., Sinha, K. K. (2018). Toward improving factory working conditions in developing countries: An empirical analysis of Bangladesh ready-made garment factories. (2 ed., vol. 21, pp.379–397). Manufacturing & Service Operations Management. DOI: 10.1287/msom.2017.0679
  • Liu, X., Yeung, A. C., Lo, C. K., Cheng, T. (2014). The moderating effects of knowledge characteristics of firms on the financial value of innovative technology products. (3 ed., vol. 32, pp.79--87). Journal of Operations Management. DOI: 10.1016/j.jom.2013.11.003
Media Contributions
Internet
  • Working Conditions in Supply Chains - by Professor Mike Toffel and Baker Library at Harvard Business School.Key Insights for Managers -- Toward Improving Factory Working Conditions in Developing Countries: An Empirical Analysis of Bangladesh Ready-Made Garment Factories. https://www.library.hbs.edu/Working-Conditions-in-Supply-Chains/citations/toward-improving-factory-working-conditions-in-developing-countries-an-empirical-analysis-of-bangladesh-ready-made-garment-factories. (February 23, 2021).
Other
  • The Academic Times.Bots could decrease user participation on collaborative websites. https://academictimes.com/bots-could-decrease-user-participation-on-collaborative-websites/. (June 8, 2021).