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Understanding digital platform evolution using compartmental models
ID
Szalkowski, Gabriel Andy
(
Avtor
),
ID
Mikalef, Patrick
(
Avtor
)
PDF - Predstavitvena datoteka,
prenos
(3,25 MB)
MD5: 27E9DEA1B6800361CF2A1969288DE308
URL - Izvorni URL, za dostop obiščite
https://www.sciencedirect.com/science/article/pii/S0040162523002858?via%3Dihub
Galerija slik
Izvleček
Due to the growing impact of digital platforms, it is increasingly important to understand their evolution through mathematical models. As their value is dependent on their user base, we present an improved perspective on modeling the number of users. Modeling digital platforms is frequently constrained by the scarcity of available data. Thus, researchers resort to open access data like Google Trends. We provide a new interpretation of such data, using it as a proxy for the demand, in contrast with the previous method of considering it as the active user- base. This is implemented using compartmental methods, in which the expression of the demand is fitted to the number of Google Searches for a specific keyword. Two cases, the MMO World of Warcraft and Facebook are analyzed in this fashion, using two different compartmental models. The solutions given by both models replicate key features of the real evolution of the services at study, and the parameters of the fit are in accordance with the expected relative values.
Jezik:
Angleški jezik
Ključne besede:
market
,
digitalization
,
forecasting
,
models
,
digital economy
,
network effects
,
compartmental models
,
market dynamics
,
business forecasting
Vrsta gradiva:
Članek v reviji
Tipologija:
1.01 - Izvirni znanstveni članek
Organizacija:
EF - Ekonomska fakulteta
Status publikacije:
Objavljeno
Različica publikacije:
Objavljena publikacija
Leto izida:
2023
Št. strani:
10 str.
Številčenje:
Vol. 193, article no.ǂ122600
PID:
20.500.12556/RUL-148230
UDK:
339.1
ISSN pri članku:
0040-1625
DOI:
10.1016/j.techfore.2023.122600
COBISS.SI-ID:
151691267
Datum objave v RUL:
03.08.2023
Število ogledov:
462
Število prenosov:
42
Metapodatki:
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Objavi na:
Gradivo je del revije
Naslov:
Technological forecasting and social change
Skrajšan naslov:
Technol. forecast. soc. change
Založnik:
Elsevier
ISSN:
0040-1625
COBISS.SI-ID:
318745
Licence
Licenca:
CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:
http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:
To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Sekundarni jezik
Jezik:
Slovenski jezik
Ključne besede:
trg
,
digitalizacija
,
predvidevanje
,
modeli
Projekti
Financer:
ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:
P5–0441
Naslov:
Regeneracija ekonomije in posla
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