- EN
- ES
Papers
Research
Scientific publications, book chapters, and full-length volumes that address the key challenges of modern logistics
What Are Scientific Publications?
Our scientific output reflects ZLC’s commitment to generating high-quality, applicable knowledge with a global perspective. Over the years, we have actively contributed to academic progress in logistics, supply chain management, and operations through publications in high-impact journals.
We collaborate with universities, research centers, and companies to develop articles that tackle real-world problems using solid methodological foundations. Our papers cover topics such as optimization, sustainability, resilience, digitalization, urban mobility, and inventory planning, among others.
This research effort strengthens our practical impact and consolidates ZLC’s position as a European benchmark in logistics and supply chain research.
ZLC Scientific Publications
Below, you can explore some of our most notable scientific publications.
Differences in security risk perceptions between logistics companies and cargo owners
Urciuoli, L. and Hintsa, J. Differences in security risk perceptions between logistics companies and cargo owners. International Journal of Logistics Management, Vol. 27 (2), 2016, pp. 418 - 437
Supply chain finance for small and medium sized enterprises: the case of reverse factoring, International Journal of Physical Distribution
Lekkakos, S., Serrano, A. Supply chain finance for small and medium sized enterprises: the case of reverse factoring, International Journal of Physical Distribution & Logistics Management, Vol. 46 (4), 2016, pp. 367 - 392
Inter - and Intra-regional Evacuation Behavior during Hurricane Irene: Results from a Large-Scale Phone Survey
Ng ManWo, Diaz R., Behr Joshua. Inter - and Intra-regional Evacuation Behavior during Hurricane Irene: Results from a Large-Scale Phone Survey, Journal of Travel Behaviour and Society, Vol. 3, 2016, pp. 21-28
Health Service Utilization and Poor Health Reporting in Asthma Patients
Behr JG, Diaz R., Akpinar-Elce, M. Health Service Utilization and Poor Health Reporting in Asthma Patients. International Journal of Environmental Research and Public Health, 2016. Vol. 13 (7), art. 645
Static Inventory an Untapped Source of Working Capital
Gürbüz, M. C., Kella, R., Agrogiannis, C. Static Inventory an Untapped Source of Working Capital. Supply Chain Management Review, published online, September 28, 2016
Maverick buying: Eliminate, participate, leverage?
Rothkopf,A., Pibernik, R., Maverick buying: Eliminate, participate, leverage?, International Journal of Production Economics, September 2016, Vol. 179, pp 77-89
Using dynamic demand information and zoning for the storage of non-uniform density stock keeping units
Diaz, R. Using dynamic demand information and zoning for the storage of non-uniform density stock keeping units. International Journal of Production Research, Vol. 54 (8), 2016, pp. 2487-2498
Emergency Department Frequent Utilization for Non-Emergent Presentments: Results from a Regional Urban Trauma Center Study
Behr JG, Diaz R. Emergency Department Frequent Utilization for Non-Emergent Presentments: Results from a Regional Urban Trauma Center Study. PLoS ONE , 2016, Vol. 11 (1): e0147116
Population vulnerability to storm flooding in Coastal Virginia, USA
Hua, L., Behr, JG., Díaz, R. Population vulnerability to storm flooding in Coastal Virginia, USA. Integrated Environmental Assessment and Management. Vol 12 (3). July 2016, pp. 500-509
Enhabling Horizontal Collaboration Through Continuous Relational Learning
Sáenz, M.J., Ubaghs, E., Cuevas A.I., Enhabling Horizontal Collaboration Through Continuous Relational Learning. Nov 2014, Springer
Information reliability in supply chains: the case of multiple retailers
Spiliotopoulou, E., Donohue, K., Gürbüz, MG. Information reliability in supply chains: the case of multiple retailers, Production & Operations Management. Special Issue on Multi-methodological Research in Production and Operations Management, Vol. 25 (3), March 2016, pp. 548–567
Analizing a lost-sale stochastic inventory model with Markov-modulated demands: A simulation-based optimization study
Diaz, R., Bailey, M.P., Kumar, S. Analizing a lost-sale stochastic inventory model with Markov-modulated demands: A simulation-based optimization study, Journal of Manufacturing Systems, Vol. 38, 2016, pp. 1-12
