Abstract
The link between sustainability and digital transformation has been a recurrent topic in the literature and has reached new interest peaks at the beginning of the 2020s. In this context, intelligent data management is not optional, but a requirement if the European Union aims to successfully implement the 2030 Agenda for Sustainable Development in a timely manner. Since data is such a valuable asset and tool for assessing, reporting, and predicting success, Facebook is one of the big data providers that can contribute to a better understanding of the interest and openness of the population toward the concepts of sustainability and sustainable development. Since Facebook collects personal data related to preferences and actions specific to sustainable behaviors, an emergent research question is whether Facebook data can predict the sustainable development level in the case of regions and countries. The objective of this research was to explore the interest of EU-27 citizens for the topic of sustainability by resorting to Facebook Audience Insight database and connect the results with the statistics of sustainable development of the EU-27 states. In this book chapter, multiple digital profiles of EU-27 citizens were developed and explained for each country, based on many factors: nationality, age, gender, the intensity, and nature of engagement on the social network platform.
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Constantin, M., Andrei, JV., Cvijanovic, D., Sedlarski, T. (2022). Can Facebook Data Predict the Level of Sustainable Development in EU-27?. In: Machado, C., Davim, J.P. (eds) Sustainability and Intelligent Management. Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-98036-8_4
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