Corrigendum to "Development and competition of digital service platforms: A system dynamics approach" [Technol. Forecast. Soc. Chang. (117) (April 2017) 119–130]

Sampsa Ruutu (Corresponding Author), Thomas Casey, Ville Kotovirta

    Research output: Contribution to journalOther journal contributionScientific

    Abstract

    The authors regret that due to an error in the simulation model file, incorrect results were reported in the article related to the effects of data transferability on platform competition when the effect of user data on end user value is high (simulation results presented in Fig. 8). Fig. 8 has been updated and the following additions have been made to the analysis of the simulation results and conclusions (marked below by underlining): “In the longer term, however, a high level of data transferability makes it easier for another platform firm to challenge the market leader. By contrast, moderate levels of data transferability (θ = 0.5 in the figure) can lead to a more pronounced winner-take-all situation.” (Section 7.2.2.) “Specifically, our simulation results reveal that in general increased data transferability can accelerate the competitive cycles between platform firms, but in the short term increased data transferability can improve the position of the dominant platform because lower switching costs make it easier for end users to switch to the market leader. In the long term the same effect is possible when the level of data transferability is moderate.” (Section 8.1.) Figs. 4, 5, 6, 7, 9, and 10 that showed other simulation results have also been updated, but changes to these simulation results were non-substantive. The updated version of the simulation model is available in the online appendix. The authors would like to apologise for any inconvenience caused.
    Original languageEnglish
    Pages (from-to)314-314
    Number of pages1
    JournalTechnological Forecasting and Social Change
    Volume128
    Early online date2017
    DOIs
    Publication statusPublished - 2018
    MoE publication typeB1 Article in a scientific magazine

    Fingerprint

    Ficus
    Emotions
    Dynamical systems
    Costs and Cost Analysis
    Switches
    Costs
    corrigendum
    Transferability
    System dynamics
    Simulation

    Keywords

    • digital platform
    • interoperability
    • simulation
    • smart city
    • System dynamics

    Cite this

    @article{23b8526814bf47de82708b84fc617aee,
    title = "Corrigendum to {"}Development and competition of digital service platforms: A system dynamics approach{"} [Technol. Forecast. Soc. Chang. (117) (April 2017) 119–130]",
    abstract = "The authors regret that due to an error in the simulation model file, incorrect results were reported in the article related to the effects of data transferability on platform competition when the effect of user data on end user value is high (simulation results presented in Fig. 8). Fig. 8 has been updated and the following additions have been made to the analysis of the simulation results and conclusions (marked below by underlining): “In the longer term, however, a high level of data transferability makes it easier for another platform firm to challenge the market leader. By contrast, moderate levels of data transferability (θ = 0.5 in the figure) can lead to a more pronounced winner-take-all situation.” (Section 7.2.2.) “Specifically, our simulation results reveal that in general increased data transferability can accelerate the competitive cycles between platform firms, but in the short term increased data transferability can improve the position of the dominant platform because lower switching costs make it easier for end users to switch to the market leader. In the long term the same effect is possible when the level of data transferability is moderate.” (Section 8.1.) Figs. 4, 5, 6, 7, 9, and 10 that showed other simulation results have also been updated, but changes to these simulation results were non-substantive. The updated version of the simulation model is available in the online appendix. The authors would like to apologise for any inconvenience caused.",
    keywords = "digital platform, interoperability, simulation, smart city, System dynamics",
    author = "Sampsa Ruutu and Thomas Casey and Ville Kotovirta",
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    doi = "10.1016/j.techfore.2017.09.013",
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    Corrigendum to "Development and competition of digital service platforms: A system dynamics approach" [Technol. Forecast. Soc. Chang. (117) (April 2017) 119–130]. / Ruutu, Sampsa (Corresponding Author); Casey, Thomas; Kotovirta, Ville.

    In: Technological Forecasting and Social Change, Vol. 128, 2018, p. 314-314.

    Research output: Contribution to journalOther journal contributionScientific

    TY - JOUR

    T1 - Corrigendum to "Development and competition of digital service platforms: A system dynamics approach" [Technol. Forecast. Soc. Chang. (117) (April 2017) 119–130]

    AU - Ruutu, Sampsa

    AU - Casey, Thomas

    AU - Kotovirta, Ville

    PY - 2018

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    N2 - The authors regret that due to an error in the simulation model file, incorrect results were reported in the article related to the effects of data transferability on platform competition when the effect of user data on end user value is high (simulation results presented in Fig. 8). Fig. 8 has been updated and the following additions have been made to the analysis of the simulation results and conclusions (marked below by underlining): “In the longer term, however, a high level of data transferability makes it easier for another platform firm to challenge the market leader. By contrast, moderate levels of data transferability (θ = 0.5 in the figure) can lead to a more pronounced winner-take-all situation.” (Section 7.2.2.) “Specifically, our simulation results reveal that in general increased data transferability can accelerate the competitive cycles between platform firms, but in the short term increased data transferability can improve the position of the dominant platform because lower switching costs make it easier for end users to switch to the market leader. In the long term the same effect is possible when the level of data transferability is moderate.” (Section 8.1.) Figs. 4, 5, 6, 7, 9, and 10 that showed other simulation results have also been updated, but changes to these simulation results were non-substantive. The updated version of the simulation model is available in the online appendix. The authors would like to apologise for any inconvenience caused.

    AB - The authors regret that due to an error in the simulation model file, incorrect results were reported in the article related to the effects of data transferability on platform competition when the effect of user data on end user value is high (simulation results presented in Fig. 8). Fig. 8 has been updated and the following additions have been made to the analysis of the simulation results and conclusions (marked below by underlining): “In the longer term, however, a high level of data transferability makes it easier for another platform firm to challenge the market leader. By contrast, moderate levels of data transferability (θ = 0.5 in the figure) can lead to a more pronounced winner-take-all situation.” (Section 7.2.2.) “Specifically, our simulation results reveal that in general increased data transferability can accelerate the competitive cycles between platform firms, but in the short term increased data transferability can improve the position of the dominant platform because lower switching costs make it easier for end users to switch to the market leader. In the long term the same effect is possible when the level of data transferability is moderate.” (Section 8.1.) Figs. 4, 5, 6, 7, 9, and 10 that showed other simulation results have also been updated, but changes to these simulation results were non-substantive. The updated version of the simulation model is available in the online appendix. The authors would like to apologise for any inconvenience caused.

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