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Sökning: onr:"swepub:oai:DiVA.org:ri-35526" > Small devices for B...

Small devices for Big data – business driven smart technologiesto collect data on consumer behaviour

Hondo, Haris (författare)
RISE,Jordbruk och livsmedel
Kaunisto, Erik (författare)
RISE,Jordbruk och livsmedel
Titi Ofei, Kwabena (författare)
Aalborg University, Denmark
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Egberg Mikkelsen, Bent (författare)
Aalborg University, Denmark
Hieke, Sophie (författare)
German Institute of Food Technologies, Germany
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 (creator_code:org_t)
2017
2017
Engelska.
  • Konferensbidrag (refereegranskat)
Abstract Ämnesord
Stäng  
  • There is growing interest in consumer health related to food, behaviourand lifestyle determinants. At the same time, digitalisation of societies creates newsets of data on consumers. A major driving force in the paradigm shift towards adigital consumer society is the continuous ICT developments that enable a future datasharing economy, where consumers are donating their data, thus making it availablefor food business analysts, marketing researchers and scientists. Business intelligence& analytics (BI&A) has gone through an evolution process and huge amounts ofconsumer data is now collected and analysed. The methodologies for data collectionand analysis are based on the different smart IC technologies that have transformedthe way goods are purchased, extending beyond just transactions. Similarly, from ascientific perspective, it is reasonable to assume that similar ICT solutions may play animportant role in the understanding of public health issues.The study was carried out as part of the RICHFIELDS project aimed at designing afuture European research infrastructure (RI) for innovative research on healthy foodchoices, preparation and consumption of EU-citizens and their respective relationshipswith socio- economic factors. The project, funded by the H2020 program is seeking todevelop state-of- the–art RI that combines knowledge of consumer behaviour and foodintake in one data platform.

Nyckelord

ICT
Devices
Big Food Data
Business Generated Data
Research Infrastructure

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