Conceptualizing Data Ecosystems for Industrial Food Production
- Industrial food production represents one of the largest industries, accounting for a share of ten percent of the world’s gross domestic product. Simultaneously, it is responsible for 26 percent of global greenhouse gas emissions. Due to increasing CO2 taxes and population’s call for sustainability and CO2 reduction, it is facing challenges in terms of economic profitability and stakeholder demands. These challenges could partly be overcome by participating in data ecosystems in which data are refined as data products, understood, exchanged and monetized as economic goods. Despite large amounts of data, collected parenthetically along the value chain in food production, potentials of data analytics and data ecosystems are only marginally exploited. Food production mainly focuses on traditional, product-centric business models. This work shows the conceptualization of a data ecosystem for food production, enabling data-based business models. Therefore, resources, ac- tors, roles and underlying relationships of future ecosystem are analyzed. Building on these, corresponding architectural and analytical artifacts that support data ecosystem exploitation are presented. A food production data ecosystem is exemplified by applying data analytics to compressor data, which reveals high potentials for CO2 reduction.
Author: | Calvin RixGND, Hannah Stein, Qiang Chen, Jana FrankGND, Wolfgang Maass |
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URL: | https://ieeexplore.ieee.org/document/9610691 |
DOI: | https://doi.org/DOI 10.1109/CBI52690.2021.00031 |
ISSN: | 2378-1971 |
Parent Title (English): | 2021 IEEE 23rd Conference on Business Informatics (CBI) |
Document Type: | Conference Proceeding |
Language: | English |
Date of Publication (online): | 2022/07/08 |
Date of first Publication: | 2021/11/19 |
Release Date: | 2022/08/03 |
Tag: | Data Ecosystems; Digital Business Models; Ecosystem Design; Industrial Food Production; Value Stream Mapping |
Page Number: | 10 |
First Page: | 201 |
Last Page: | 210 |
FIR-Number: | SV7753 |
Institute / Department: | FIR e. V. an der RWTH Aachen |
Dienstleistungsmanagement | |
Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften |