A large academic cloud storage service was launched in the beginning of 2015 by the majority of the public research and applied science universities in the German state of North Rhine-Westphalia (NRW) under the brand name “sciebo”. One year after the start, we will examine if the predictions made on service adoption in the preparatory project phase based on the well-known diffusion model by Rogers apply to reality. This is the first study about the adoption of a specific cloud service at several universities. We identify two factors affecting the speed of diffusion: share of technophiles and the use of marketing measures. Organization size does not seem to influence the speed of diffusion.
CITATION STYLE
Vogl, R., Angenent, H., Rudolph, D., Wilmer, A., Thoring, A., Stieglitz, S., & Meske, C. (2016). Predictions on service adoption and utilization meet reality: First results from the sciebo (Science box) project. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9753, pp. 639–649). Springer Verlag. https://doi.org/10.1007/978-3-319-39483-1_58
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