Evaluation of the Economic, Ecological and Ethical Potential of Big Data Solutions for a Digital Utopia in Logistics

In the context of digital transformation and the use of big data technologies, this study shows the potential and possible applications associated with using big data, depending on the respective logistics area. The evaluation of this potential follows a logistical target system, which has been expanded to include ethical and sustainable aspects in line with the challenges of the 21st century. Furthermore, the status quo of the degree of digitization is determined, problems in understanding the terminology are shown, and cognitive and technical prerequisites and recommendations for action concerning the use of big data technologies (e.g., cobots) are derived. The survey methodology was based on a quantitative research method in the form of a survey. The article aims to provide the building blocks for a holistic approach (economic, ecological, and social) for politics and companies and to derive recommendations for action in logistics. The challenge is to find an alternative to conventional research, which examines big data almost exclusively for growth targets and optimization potential. Ecological and social goals should also be included here as an unchangeably fixed point and a normative limit as a value compass for business decisions. To close this research gap, it is necessary to evaluate the potential of logistics in connection with big data solutions to derive specific applications, their applications, and recommendations for action. This article presents an excerpt of the results.

Automated summary

This study explores the potential and possible applications of big data in the logistics field, evaluating this potential based on a logistical target system that incorporates ethical and sustainable aspects in line with the challenges of the 21st century. It also identifies the current level of digitization, highlights problems in understanding the terminology, and derives cognitive and technical prerequisites and recommendations for action regarding the use of big data technologies. The research methodology employed a quantitative survey. The article aims to provide a comprehensive approach (economic, ecological, and social) for politics and companies in logistics, addressing the need to include ecological and social goals alongside growth and optimization targets in big data research.