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/
- M&A Operations Assessment
- Innovative Operations
- Supply Chain Management
- Innovation and Technology Management for Sustainable and Responsible Operations Management, Empirical and Computation Methods with Statistics, Econometrics, and Data Analytics
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.
Published Intellectual Contributions
- Kumar, P., Liu, X., Zaheer, A. (2021). (Best paper) Forged by Fire: Home Country IPR Reforms And Emerging Economy Firm Innovativeness Abroad. (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).
- 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
- 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
- Adbi, A., Liu, X., Mishra, A. (2021). Technology Licensing and Productivity Growth: Evidence from Manufacturing Firms in Developing Economies. Manufacturing & Service Operations Management. DOI: 10.1287/msom.2020.0946
- Smith, J., Shockley, J., Anderson, S., Liu, X. (2020). Tension in the Emergency Department? The Impact of Flow Stage Times on Managing Patient-Reported Experiences and Financial Productivity. Decision Sciences. DOI: http://dx.doi.org/10.1111/deci.12503
- 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 and 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
- 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).