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 typeNot Eligible

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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",
year = "2018",
doi = "10.1016/j.techfore.2017.09.013",
language = "English",
volume = "128",
pages = "314--314",
journal = "Technological Forecasting and Social Change",
issn = "0040-1625",
publisher = "Elsevier",

}

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

Y1 - 2018

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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