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.
KW - digital platform
KW - interoperability
KW - simulation
KW - smart city
KW - System dynamics
UR - http://www.scopus.com/inward/record.url?scp=85030835864&partnerID=8YFLogxK
U2 - 10.1016/j.techfore.2017.09.013
DO - 10.1016/j.techfore.2017.09.013
M3 - Other journal contribution
SN - 0040-1625
VL - 128
SP - 314
EP - 314
JO - Technological Forecasting and Social Change
JF - Technological Forecasting and Social Change
ER -