Contact
- +44 (0)20 7040 0974
- joerg.ries@citystgeorges.ac.uk
Visit Jörg-Martin Ries
Room BR4098, Bunhill Row
Postal address
Northampton Square
London
EC1V 0HB
United Kingdom
About
Overview
Jörg M. Ries is a Reader in Operations Management at Bayes Business School. He is also a member of the Digital Leadership Research Centre at Bayes Business School and the Data Science Institute at City, University of London. Prior to joining Bayes, Jörg was a visiting research fellow at the Cranfield School of Management and a research assistant at the Technical University of Darmstadt, where he completed his PhD. He has also worked as a supply chain consultant in the automotive, chemical and industrial construction industries.
Applying business analytics, Jörg's research explores the impact of structural characteristics and digital technologies on supply chain performance, risk and innovation. These include structural and organisational conditions for innovation, the role of advanced digital technologies in smart supply chains, process optimisation through supply chain finance and sustainable inventory management. He has published on these topics in leading international journals such as Journal of Supply Chain Management, 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.
Jörg has led several research and industry projects, collaborated with industry partners in the development of business analytics applications, and advised a range of companies in the process, manufacturing and transport industries.
Qualifications
- Dr. rer pol. (PhD), Technical University of Darmstadt, Germany
Expertise
Primary topics
- Production & Operations Management
- Supply Chain Management
- Technology Management
Additional topics
- Management Science
- Operations Research
- Risk Management
Research students
2nd supervisor
- Fabienne Chedid, Research Student
Publications
Journal articles (20)
- Perotti, S., Cannava, L., Ries, J.M. and Grosse, E.H. (2025). Reviewing and conceptualising the role of 4.0 technologies for sustainable warehousing. International Journal of Production Research, 63(6), pp. 2305–2337. doi:10.1080/00207543.2024.2396015.
- 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.