Babai, M. Z., Boylan, J. E., Syntetos, A. A., & Ali, M. M. (2016). Reduction of the value of information sharing as demand becomes strongly auto-correlated. International Journal of Production Economics, 181, 130-135.
Cantor, D. E., & Katok, E. (2012). Production smoothing in a serial supply chain: A laboratory investigation. Transportation research part e: logistics and transportation review, 48(4), 781-794.
Dominguez, R., Framinan, J. M., & Cannella, S. (2014). Serial vs. divergent supply chain networks: a comparative analysis of the bullwhip effect. International Journal of Production Research, 52(7), 2194-2210.
Harison, E. (2023). In Search of a Remedy for Disruptions: Assessing the Effects of Inflationary Pressures on Supply Chains During the COVID-19 Era. In Managing Inflation and Supply Chain Disruptions in the Global Economy (pp. 1-9). IGI Global.
Silitonga, R. Y. H., & Jelly, N. (2018, April). An impact analysis of forecasting methods and forecasting parameters on bullwhip effect. In IOP Conference Series: Materials Science and Engineering (Vol. 337, No. 1, p. 012026). IOP Publishing.
Thiell, M., & Wilmsmeier, G. (2022). Risk-Driven Supply Chain Design: Options and Trade-Offs in Complex Environments. In Global Logistics and Supply Chain Strategies for the 2020s: Vital Skills for the Next Generation (pp. 289-306). Cham: Springer International Publishing.
Yu, D., & Yan, Z. (2021). Knowledge diffusion of supply chain bullwhip effect: Main path analysis and science mapping analysis. Scientometrics, 126 (10), 8491-8515.