Sample of Academic Literature relating to data-driven applications in the logistics industry.

In Abdimomunov et al. we compare the challenges and opportunities of data-driven applications in logistics industry to the perspectives of logistics managers in the field. This dataset includes the inidividual academic sources as .txt files that werre used to generate the 1000 most common noun phrases in that sample of literature. The noun phrases were labeled as either 'opportunities' and 'challenges' and grouped into Themes that made up the Theoretical Framework. This Theoreitcal Framework was then compared to interviews with managers of logistics operations to systematically compare the most prevalent data topics for the logistics sector in both the academic and practical perspective.