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://jimliu.work/

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.

Research

Published Intellectual Contributions
Conference Proceeding
  • 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
  • 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. 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