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How to Seize the Opportunities of New Technologies in Life Cycle Analysis Data Collection: A Case Study of the Dutch Dairy Farming Sector

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  • Eric Mieras

    (PRé Consultants B.V., Stationsplein 121, 3818 LE Amersfoort, The Netherlands)

  • Anne Gaasbeek

    (PRé Consultants B.V., Stationsplein 121, 3818 LE Amersfoort, The Netherlands)

  • Daniël Kan

    (PRé Consultants B.V., Stationsplein 121, 3818 LE Amersfoort, The Netherlands)

Abstract

Technologies such as blockchain, big data, and the Internet of Things provide new opportunities for improving and scaling up the collection of life cycle inventory (LCI) data. Unfortunately, not all new technologies are adopted, which means that their potential is not fully exploited. The objective of this case study is to show how technological innovations can contribute to the collection of data and the calculation of carbon footprints at a mass scale, but also that technology alone is not sufficient. Social innovation is needed in order to seize the opportunities that these new technologies can provide. The result of the case study is real-life, large-scale data collected from the entire Dutch dairy sector and the calculation of each individual farm’s carbon footprint. To achieve this, it was important to (1) identify how members of a community can contribute, (2) link their activities to the value it brings them, and (3) consider how to balance effort and result. The case study brought forward two key success factors in order to achieve this: (1) make it easy to integrate data collection in farmers’ daily work, and (2) show the benefits so that farmers are motivated to participate. The pragmatic approach described in the case study can also be applied to other situations in order to accelerate the adoption of new technologies, with the goal to improve data collection at scale and the availability of high-quality data.

Suggested Citation

  • Eric Mieras & Anne Gaasbeek & Daniël Kan, 2019. "How to Seize the Opportunities of New Technologies in Life Cycle Analysis Data Collection: A Case Study of the Dutch Dairy Farming Sector," Challenges, MDPI, vol. 10(1), pages 1-9, January.
    • Handle: RePEc:gam:jchals:v:10:y:2019:i:1:p:8-:d:198476
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    References listed on IDEAS

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    1. Fosso Wamba, Samuel & Akter, Shahriar & Edwards, Andrew & Chopin, Geoffrey & Gnanzou, Denis, 2015. "How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study," International Journal of Production Economics, Elsevier, vol. 165(C), pages 234-246.
    2. Joyce Cooper & Michael Noon & Chris Jones & Ezra Kahn & Peter Arbuckle, 2013. "Big Data in Life Cycle Assessment," Journal of Industrial Ecology, Yale University, vol. 17(6), pages 796-799, December.
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    Cited by:

    1. Robert Karaszewski & Paweł Modrzyński & Gözde Türkmen Müldür & Jacek Wójcik, 2021. "Blockchain Technology in Life Cycle Assessment—New Research Trends," Energies, MDPI, vol. 14(24), pages 1-13, December.
    2. Sanja Tišma & Mira Mileusnić Škrtić, 2023. "Blockchain Technology in the Environmental Economics: A Service for a Holistic and Integrated Life Cycle Sustainability Assessment," JRFM, MDPI, vol. 16(3), pages 1-17, March.
    3. David Teh & Tehmina Khan & Brian Corbitt & Chin Eang Ong, 2020. "Sustainability strategy and blockchain-enabled life cycle assessment: a focus on materials industry," Environment Systems and Decisions, Springer, vol. 40(4), pages 605-622, December.

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