Citations of Excellence Awards 2016
Each year, Emerald awards certificates to highly cited papers, hereby also taking into account the content of the papers (see my previous post). I identified five Citations of Excellence winners related to SCM this year: (1) Technology Designed to Combat Fakes in the Global Supply Chain by Li; (2) The Reduction of Greenhouse Gas Emissions from Freight Transport by Pooling Supply Chains by Pan, Ballot & Fontane; (3) Ensuring Supply Chain Resilience: Development and Implementation of an Assessment Tool by Pettit, Croxton & Fiksel; (4) Closed-Loop Supply Chains: A Critical Review, and Future Research by Souza; and (5) Data Science, Predictive Analytics, and Big Data: A Revolution that Will Transform Supply Chain Design and Management by Waller & Fawcett. All of these articles were selected from articles published in 2013. It can again be observed that articles dealing with sustainability or resilience seem to have a good chance to become highly cited, but also articles about innovative technologies turn out to be quite popular.
Li, L. (2013). Technology Designed to Combat Fakes in the Global Supply Chain. Business Horizons, 56 (2), 167-177 https://doi.org/10.1016/j.bushor.2012.11.010
Pan, S., Ballot, E., & Fontane, F. (2013). The Reduction of Greenhouse Gas Emissions from Freight Transport by Pooling Supply Chains. International Journal of Production Economics, 143 (1), 86-94 https://doi.org/10.1016/j.ijpe.2010.10.023
Pettit, T., Croxton, K., & Fiksel, J. (2013). Ensuring Supply Chain Resilience: Development and Implementation of an Assessment Tool. Journal of Business Logistics, 34 (1), 46-76 https://doi.org/10.1111/jbl.12009
Souza, G. (2013). Closed-Loop Supply Chains: A Critical Review, and Future Research. Decision Sciences, 44 (1), 7-38 https://doi.org/10.1111/j.1540-5915.2012.00394.x
Waller, M., & Fawcett, S. (2013). Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management. Journal of Business Logistics, 34 (2), 77-84 https://doi.org/10.1111/jbl.12010
