Johanna Paeplow, Frederik Möller
2026Proceedings of the Annual Hawaii International Conference on System Sciences
Abstract
At present, society needs sustainable actions of the economy to reduce climate change and decrease social injustice. Simultaneously, data is becoming the most accessible and valuable source of the current decade. Business Models are emerging that make use of this data to foster sustainable development. To support practitioners and researchers in designing and investigating sustainable data-driven business models (SDDBMS), we examined existing SDDBMs. Through our analysis, we detected 92 specific characteristics of SDDBMs, which we categorized within 12 dimensions and four meta-dimensions into a taxonomy. Thus, we created a framework for the existing SDDBMs landscape. By conducting a distribution analysis, we were able to determine the current limitations of this landscape and the commonly chosen characteristics.
Citation format
PAEPLOW, Johanna; MÖLLER, Frederik. A song of data and sustainability: A framework of sustainable and data-driven business models. Proceedings of the Annual Hawaii International Conference on System Sciences, 2026.