POTENTIALEN AV BIG DATA I FRONT END OF INNOVATION

Detta är en Master-uppsats från KTH/Maskinkonstruktion (Inst.); KTH/Maskinkonstruktion (Inst.)

Författare: Robert Urbaniak; Niclas Zachrisson; [2016]

Nyckelord: ;

Sammanfattning:

The aim of this study was to explore the potential of Big Data in the Front End of Innovation and develop theory through conceptual work. Specifically research questions were aimed at the potential of Big Data in opportunity identification, opportunity analysis, idea generation and idea selection. When conducting the study, it was found that some vagueness and opposing opinions are present regarding the use of the term Big Data and its definition. The findings of this study focus on what Big Data offers organizations increased abilities in analyzing external environments including competitors, markets and users to facilitate the opportunity identification and ideation processes. As well as the implementation of analytics in opportunity analysis and idea selection as an additional perspective to existing processes.

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