To better match the complex challenges innovation presents, it is critical to consider an approach and methodology more akin to epidemiology - a method that accounts for the full picture of how trends in culture are evolving. A process rich with layers. One that recognizes often overlooked triggers to new behaviors. One that is exploratory, yet grounded by real data and structured by cultural parameters. An approach that unites consumer anthropology with data science.
CITATION STYLE
Stock, T. (2016). The epidemiology of innovation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9746, pp. 150–160). Springer Verlag. https://doi.org/10.1007/978-3-319-40409-7_16
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