Mapping the market for remanufacturing: An application of “Big Data” analytics

Remanufacturing is one of the most examined topics in the closed-loop supply chain (CLSC) literature. However, we still have limited knowledge on the characteristics of the market for remanufactured products. This study addresses this gap by using a big data analytics framework. We employ off-the-shelf, pre-trained vectors created with the Global Vectors for Word Representation (GloVe) word embedding method from a data set crawled from the...