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Small devices for Big data – business driven smart technologiesto collect data on consumer behaviour
RISE - Research Institutes of Sweden (2017-2019), Bioscience and Materials, Agrifood and Bioscience.
RISE - Research Institutes of Sweden (2017-2019), Bioscience and Materials, Agrifood and Bioscience.ORCID iD: 0000-0002-1485-8193
Aalborg University, Denmark.
Aalborg University, Denmark.
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2017 (English)Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
2017. p. 452-454
Keywords [en]
ICT, Devices, Big Food Data, Business Generated Data, Research Infrastructure
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-35526OAI: oai:DiVA.org:ri-35526DiVA, id: diva2:1258356
Conference
ICCAS Proceedings_2017
Available from: 2018-10-24 Created: 2018-10-24 Last updated: 2023-05-16Bibliographically approved

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Kaunisto, Erik

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf