Creativity Support Tools for Data Triggered Hypothesis Generation

Müller, Lars; Wetzel, Thomas; Hobohm, Hans-Christoph; Schräder, Thomas

doi:10.1109/kicss.2012.12

Cited by 2 publications

(3 citation statements)

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“…Big data analytics enables organizations to analyze their data in a way that was not possible before, by bringing together different sources of information and finding trends that are only visible with large amounts of data. This will make it easier to visualize the gaps in a domain [8]. The use of big data analytics will depend on the availability of the tools required to perform the analysis, and the characteristics (e.g.…”

Section: Big Data Analyticsmentioning

confidence: 99%

“…Müller et al [8] created a software to support the identification of unexplored research areas through data attributes and visualizations. They propose that information (data) can be used to guide researchers to new unexplored paths.…”

Section: Problem Definition / Need Identificationmentioning

confidence: 99%

“…They propose that information (data) can be used to guide researchers to new unexplored paths. They theorize that data can be examined iteratively for "divergent and convergent thinking" to generate new hypotheses [8].…”

Section: Problem Definition / Need Identificationmentioning

confidence: 99%

See 2 more Smart Citations

Big Data Analytics as Input for Problem Definition and Idea Generation in Technological Design

Escandon-Quintanilla

Gardoni

Cohendet

2016

IFIP Advances in Information and Communication Technology

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Big data analytics enables organizations to process massive amounts of data in shorter amounts of time and with more understanding than ever before. Many uses have been found to take advantage of this tools and techniques, especially for decision making. However, little applications have been found in the first stages of innovation, namely problem definition and idea generation. This paper discusses how big data analytics can be utilized in those stages. It includes an example of application in problem definition and proposes a case study implementation in a higher education setting for idea generation.

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Section: Big Data Analyticsmentioning

confidence: 99%

Section: Problem Definition / Need Identificationmentioning

confidence: 99%