2nd Special Session on Business Intelligence and Data Science for Sustainable Supply Chain

We live in a data-driven world, where becomes important to aggregate value to data for a variety of potential stakeholders. Access to data is just the starting point, but their usage will depend on the specific analysis goals or decisions to be made at the end of the line. In this context, gains it power the research related to data analytics (machine learning, artificial intelligence, etc.), that process raw data and convert them to higher level features or even KPIs related to the desired goals.

At this point, the sustainable supply chain development anticipates that the following value streams may be opportune to consider for structuring the goals, including

• Environmental  – related to understanding the impacts of logistics operations, predicting CO2 emissions, etc
• Economical  – to support decision-making that affects the company bottom-line results
• Operational  – for increasing the stakeholders’ ability to manage certain key activities or tasks, such as maintenance of key assets and infrastructures. Among other

This workshop calls for research revolving around Business intelligence and Data science for sustainable supply chains. Papers at the intersection of these two domains are especially welcome, and we incentivize authors to consider the overarching conference theme of technology in their submissions.

We aim to bring together scholars interested in the ever-evolving dynamics of the digital world and their impact on sustainable logistics theories and practices. An up-to-date knowledge of Business intelligence and data science is essential to tackle the broader challenges of sustainability that come together with connectivity, globalization, and the increasing use of technology in supply chain management.

Papers from marketing and other management areas are welcome. Papers should meaningfully advance current knowledge.