Contact
- +44 (0)20 7040 0974
- joerg.ries@city.ac.uk
Visit Jörg-Martin Ries
Room BR4098, Bunhill Row
Postal address
106 Bunhill Row
London
EC1Y 8TZ
United Kingdom
About
Overview
Jörg M. Ries is a Reader in Operations Management at Bayes Business School and the Co-Director of the Supply Chain Management and Global Logistics programme at University of London. He also is a member of the Digital Leadership Research Centre at Bayes Business School and the Data Science Institute at City, University of London. Before joining Bayes, Jörg was a visiting research fellow at Cranfield School of Management and a research assistant at Technical University Darmstadt, where he completed his PhD. He also worked as a supply chain consultant in the chemical and industrial construction industry.
His research focuses on the development and application of predictive and prescriptive analytics in supply chain management – the exploration of text analytics and artificial intelligence as enabler for smart and efficient supply chains – supply chain finance with a strong focus on process automation and purchase-to-pay optimisation as well as sustainable supply chain operations. On these topics he has published in leading international journals such as International Journal of Operations and Production Management, European Journal of Operational Research, International Journal of Production Economics, International Journal of Production Research, Omega, and others.
He also works on the development of business analytics applications and has collaborated with a wide range of companies from processing, manufacturing and transport industry.
Qualifications
- Dr. rer pol. (PhD), Technical University of Darmstadt, Germany
Expertise
Primary topics
- Corporate Finance
- Production & Operations Management
- Supply Chain Management
Additional topics
- Management Science
- Operations Research
- Risk Management
Research students
2nd supervisor
- Fabienne Chedid, Research Student
Publications
Journal articles (19)
- Son, B., Ries, J.M., Subramanian, N. and Kim, S. (2024). Bridging the innovation gap: Why organizational climate matters for leveraging innovation from supply networks. Journal of Supply Chain Management, 60(2), pp. 39–63. doi:10.1111/jscm.12316.
- Barbieri, P., Ellram, L., Formentini, M. and Ries, J.-.M. (2021). Emerging research and future pathways in digital supply chain governance. International Journal of Operations & Production Management, 41(7), pp. 1021–1034. doi:10.1108/ijopm-07-2021-903.
- Chedid, F., Kocabasoglu-Hillmer, C. and Ries, J.M. (2021). The interaction between supply networks and internal networks: performance implications. International Journal of Operations & Production Management, 41(6), pp. 860–881. doi:10.1108/ijopm-10-2020-0710.
- Banerjee, A., Lücker, F. and Ries, J.M. (2021). An empirical analysis of suppliers' trade-off behaviour in adopting digital supply chain financing solutions. International Journal of Operations & Production Management, 41(4), pp. 313–335. doi:10.1108/ijopm-07-2020-0495.
- Glock, C.H., Rekik, Y. and Ries, J.M. (2020). A coordination mechanism for supply chains with capacity expansions and order-dependent lead times. European Journal of Operational Research, 285(1), pp. 247–262. doi:10.1016/j.ejor.2020.01.048.
- Banerjee, A., Ries, J.M. and Wiertz, C. (2020). The impact of social media signals on supplier selection: insights from two experiments. International Journal of Operations & Production Management, 40(5), pp. 531–552. doi:10.1108/ijopm-05-2019-0413.
- Kiesel, F., Ries, J.M. and Tielmann, A. (2017). Reprint of “The impact of mergers and acquisitions on shareholders' wealth in the logistics service industry”. International Journal of Production Economics, 194, pp. 261–277. doi:10.1016/j.ijpe.2017.11.007.
- Glock, C.H., Grosse, E.H. and Ries, J.M. (2017). Reprint of “Decision support models for supplier development: Systematic literature review and research agenda”. International Journal of Production Economics, 194, pp. 246–260. doi:10.1016/j.ijpe.2017.11.006.
- Kiesel, F., Ries, J.M. and Tielmann, A. (2017). The impact of mergers and acquisitions on shareholders' wealth in the logistics service industry. International Journal of Production Economics, 193, pp. 781–797. doi:10.1016/j.ijpe.2017.09.006.
- Ries, J.M., Grosse, E.H. and Fichtinger, J. (2017). Environmental impact of warehousing: a scenario analysis for the United States. International Journal of Production Research, 55(21), pp. 6485–6499. doi:10.1080/00207543.2016.1211342.
- Glock, C.H., Grosse, E.H. and Ries, J.M. (2017). Decision support models for supplier development: Systematic literature review and research agenda. International Journal of Production Economics, 193, pp. 798–812. doi:10.1016/j.ijpe.2017.08.025.
- Ries, J.M., Glock, C.H. and Schwindl, K. (2017). The influence of financial conditions on optimal ordering and payment policies under progressive interest schemes. Omega, 70, pp. 15–30. doi:10.1016/j.omega.2016.08.009.
- Marchi, B., Ries, J.M., Zanoni, S. and Glock, C.H. (2016). A joint economic lot size model with financial collaboration and uncertain investment opportunity. International Journal of Production Economics, 176, pp. 170–182. doi:10.1016/j.ijpe.2016.02.021.
- Fichtinger, J., Ries, J.M., Grosse, E.H. and Baker, P. (2015). Assessing the environmental impact of integrated inventory and warehouse management. International Journal of Production Economics, 170, pp. 717–729. doi:10.1016/j.ijpe.2015.06.025.
- Glock, C.H., Ries, J.M. and Schwindl, K. (2015). Ordering policy for stock-dependent demand rate under progressive payment scheme: a comment. International Journal of Systems Science, 46(5), pp. 872–877. doi:10.1080/00207721.2013.798446.
- Arıkan, E., Fichtinger, J. and Ries, J.M. (2014). Impact of transportation lead-time variability on the economic and environmental performance of inventory systems. International Journal of Production Economics, 157, pp. 279–288. doi:10.1016/j.ijpe.2013.06.005.
- Glock, C.H., Grosse, E.H. and Ries, J.M. (2014). The lot sizing problem: A tertiary study. International Journal of Production Economics, 155, pp. 39–51. doi:10.1016/j.ijpe.2013.12.009.
- Glock, C.H., Ries, J.M. and Schwindl, K. (2014). A note on: Optimal ordering policy for stock-dependent demand under progressive payment scheme. European Journal of Operational Research, 232(2), pp. 423–426. doi:10.1016/j.ejor.2013.07.031.
- Glock, C.H. and Ries, J.M. (2013). Reducing lead time risk through multiple sourcing: the case of stochastic demand and variable lead time. International Journal of Production Research, 51(1), pp. 43–56. doi:10.1080/00207543.2011.644817.