TAF PUBLISHING

Although many logistics firms seek to attain environmental sustainability, they have little knowledge of how to generate appropriate eco-strategies that can achieve environmental sustainability. Moreover, few studies have investigated how to go green in the field of logistics management by exploring logistics big data. This study aims to tackle environmental sustainability issues in logistics systems through big data analytics. Specifically, this study proposes a research framework of green logistics business analytics involving descriptive, predictive, and prescriptive analytics. The proposed logistics business analytics involve descriptive analytics, predictive analytics, and prescriptive analytics for firms to seek environmental sustainability. Logistics companies can utilize the proposed business analytics framework to identify key eco-drivers and thereby implement effective environmental logistics management. The proposed model may stimulate further research in the field of green logistics and may help address issues regarding economic and environmental sustainability.