Towards a Serious Game on Data Sharing in Business Ecosystems

Ulriikka Järvihaavisto; Mikael Öhman; Riitta Smeds

doi:10.1007/978-3-030-85910-7_53

Towards a Serious Game on Data Sharing in Business Ecosystems

Ulriikka Järvihaavisto, Mikael Öhman, Riitta Smeds

Logistik och samhällsansvar, Helsingfors

Aalto University

Forskningsoutput: Kapitel i bok/rapport/konferenshandling › Konferensbidrag › Vetenskaplig › Peer review

2 Citeringar (Scopus)

Sammanfattning

In this paper we develop design principles for a serious game on data sharing in business ecosystems. Even though data has been said to be the new fuel of the economy, we have not seen much large-scale data trading in industrial settings. The purpose of the game is to experimentally study the dynamics of data trading in simulated business ecosystems, particularly under different kinds of governance structures: in centralized and decentralized ecosystems. The objective of the game is also to support the learning of MBA and university students. Through the game, the students can experience the risks and benefits of sharing data in ecosystems, an emerging and increasingly important topic in business life.

Originalspråk	Engelska
Titel på värdpublikation	Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Proceedings IFIP WG 5.7 International Conference, APMS 2021, Nantes, France, September 5–9, 2021, Proceedings, Part IV
Redaktörer	Alexandre Dolgui, Alain Bernard, David Lemoine, Gregor von Cieminski, David Romero
Förlag	Springer
Utgivningsdatum	2021
Sidor	500-509
ISBN (tryckt)	978-3-030-85909-1
DOI	https://doi.org/10.1007/978-3-030-85910-7_53
Status	Publicerad - 2021
MoE-publikationstyp	A4 Artikel i en konferenspublikation

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512 Företagsekonomi

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10.1007/978-3-030-85910-7_53

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Järvihaavisto, U., Öhman, M., & Smeds, R. (2021). Towards a Serious Game on Data Sharing in Business Ecosystems. I A. Dolgui, A. Bernard, D. Lemoine, G. von Cieminski, & D. Romero (Red.), Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Proceedings IFIP WG 5.7 International Conference, APMS 2021, Nantes, France, September 5–9, 2021, Proceedings, Part IV (s. 500-509). Springer. https://doi.org/10.1007/978-3-030-85910-7_53

Järvihaavisto, Ulriikka ; Öhman, Mikael ; Smeds, Riitta. / Towards a Serious Game on Data Sharing in Business Ecosystems. Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Proceedings IFIP WG 5.7 International Conference, APMS 2021, Nantes, France, September 5–9, 2021, Proceedings, Part IV . redaktör / Alexandre Dolgui ; Alain Bernard ; David Lemoine ; Gregor von Cieminski ; David Romero. Springer, 2021. s. 500-509

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abstract = "In this paper we develop design principles for a serious game on data sharing in business ecosystems. Even though data has been said to be the new fuel of the economy, we have not seen much large-scale data trading in industrial settings. The purpose of the game is to experimentally study the dynamics of data trading in simulated business ecosystems, particularly under different kinds of governance structures: in centralized and decentralized ecosystems. The objective of the game is also to support the learning of MBA and university students. Through the game, the students can experience the risks and benefits of sharing data in ecosystems, an emerging and increasingly important topic in business life.",

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Järvihaavisto, U, Öhman, M & Smeds, R 2021, Towards a Serious Game on Data Sharing in Business Ecosystems. i A Dolgui, A Bernard, D Lemoine, G von Cieminski & D Romero (red), Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Proceedings IFIP WG 5.7 International Conference, APMS 2021, Nantes, France, September 5–9, 2021, Proceedings, Part IV . Springer, s. 500-509. https://doi.org/10.1007/978-3-030-85910-7_53

Towards a Serious Game on Data Sharing in Business Ecosystems. / Järvihaavisto, Ulriikka; Öhman, Mikael; Smeds, Riitta.
Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Proceedings IFIP WG 5.7 International Conference, APMS 2021, Nantes, France, September 5–9, 2021, Proceedings, Part IV . red. / Alexandre Dolgui; Alain Bernard; David Lemoine; Gregor von Cieminski; David Romero. Springer, 2021. s. 500-509.

Forskningsoutput: Kapitel i bok/rapport/konferenshandling › Konferensbidrag › Vetenskaplig › Peer review

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AB - In this paper we develop design principles for a serious game on data sharing in business ecosystems. Even though data has been said to be the new fuel of the economy, we have not seen much large-scale data trading in industrial settings. The purpose of the game is to experimentally study the dynamics of data trading in simulated business ecosystems, particularly under different kinds of governance structures: in centralized and decentralized ecosystems. The objective of the game is also to support the learning of MBA and university students. Through the game, the students can experience the risks and benefits of sharing data in ecosystems, an emerging and increasingly important topic in business life.

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Järvihaavisto U, Öhman M, Smeds R. Towards a Serious Game on Data Sharing in Business Ecosystems. I Dolgui A, Bernard A, Lemoine D, von Cieminski G, Romero D, redaktörer, Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Proceedings IFIP WG 5.7 International Conference, APMS 2021, Nantes, France, September 5–9, 2021, Proceedings, Part IV . Springer. 2021. s. 500-509 doi: 10.1007/978-3-030-85910-7_53

Towards a Serious Game on Data Sharing in Business Ecosystems

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