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Ontology of Product Provenance for Value Networks

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Research Challenges in Information Science: Information Science and the Connected World (RCIS 2023)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 476))

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Abstract

The economic issues surrounding value networks have received much attention from the research community in business modeling. However, other aspects can also influence the success of a network. One of them is sharing subjacent information that has value for the actors involved and fulfills a consumer’s business need, such as product provenance. Thus, it is also essential to address these aspects in business modeling. Considering that provenance is a significant value to be explored, this work proposes an ontology for modeling value networks with an indication of provenance, focused on geographical indications. The ontology allows configuring models that show different ways of sharing information to assist business analysts in making strategic decisions about their value propositions for consumers. The Design Science Methodology and an Ontology Engineering methodology (SAMOD) guided the design of the ontology. Technical Action Research (TAR) supported the validation of the ontology in a Brazilian biotechnology company providing organic beverages. Expert opinion helped evaluate the utility of the ontology according to the support to decision-making provided by its derived models. This research also provides new insights into the importance of considering provenance information essential for modeling business networks, especially in economic and environmental sustainability cases.

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Notes

  1. 1.

    Serviço Brasileiro de Apoio às Micro e Pequenas Empresas in portuguese.

  2. 2.

    Available in: https://www.sebrae.com.br/sites/PortalSebrae/origens.

  3. 3.

    Available in: https://github.com/lohannaaires/VNPO/tree/main/OWL.

  4. 4.

    Available in: https://protege.stanford.edu/.

  5. 5.

    Available in: https://meltech.ind.br/.

  6. 6.

    Available in: https://github.com/VNPO/e3value-models.

  7. 7.

    Available in: https://github.com/VNPO/assessment/questionnaire.md.

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Author information

Authors and Affiliations

  1. Universidade Federal Rural do Semi-Árido (UFERSA), Mossoró, RN, Brazil

    Lohanna Saraiva, Patricio Silva & Angelica Castro

  2. Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte (IFRN), Natal, RN, Brazil

    Claudia Ribeiro

  3. Semantics, Cybersecurity & Services (SCS), University of Twente, Enschede, The Netherlands

    Joao Moreira

Authors
  1. Lohanna Saraiva
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  2. Patricio Silva
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  3. Angelica Castro
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  4. Claudia Ribeiro
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  5. Joao Moreira
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Corresponding author

Correspondence to Lohanna Saraiva .

Editor information

Editors and Affiliations

  1. Université Paris 1 Panthéon-Sorbonne, Paris, France

    Selmin Nurcan

  2. University of Bergen, Bergen, Norway

    Andreas L. Opdahl

  3. University of Essex, Colchester, UK

    Haralambos Mouratidis

  4. Ionian University, Corfu, Greece

    Aggeliki Tsohou

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Saraiva, L., Silva, P., Castro, A., Ribeiro, C., Moreira, J. (2023). Ontology of Product Provenance for Value Networks. In: Nurcan, S., Opdahl, A.L., Mouratidis, H., Tsohou, A. (eds) Research Challenges in Information Science: Information Science and the Connected World. RCIS 2023. Lecture Notes in Business Information Processing, vol 476. Springer, Cham. https://doi.org/10.1007/978-3-031-33080-3_40

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  • DOI: https://doi.org/10.1007/978-3-031-33080-3_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-33079-7

  • Online ISBN: 978-3-031-33080-3

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