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G. Dosi, R. Nelson (2013)
The Evolution of Technologies: An Assessment of the State-of-the-ArtEurasian Business Review, 3
Y. Balcer, S. Lippman (1984)
Technological expectations and adoption of improved technologyJournal of Economic Theory, 34
H. Gruber, F. Verboven (2001)
The evolution of markets under entry and standards regulation — the case of global mobile telecommunicationsInternational Journal of Industrial Organization, 19
S. Davies (1979)
The Diffusion of Process Innovations
(2003)
Diffusion of innovations (5th ed.)
(2001)
The Diffusion of Mobile Telecommunications Services in the European UnionEuropean Economic Review, 45
N. Meade, T. Islam (2015)
Forecasting in telecommunications and ICT—A reviewInternational Journal of Forecasting, 31
Emanuele Giovannetti, C. Piga (2017)
The contrasting effects of active and passive cooperation on innovation and productivity: Evidence from British local innovation networksInternational Journal of Production Economics, 187
M. Dekimpe, P. Parker, M. Sarvary (1998)
Staged estimation of international diffusion models - An application to global cellular telephone adoptionTechnological Forecasting and Social Change, 57
Paul Stoneman (2001)
The Economics of Technological Diffusion
(2020)
World Telecommunication/ICT Indicators Database 2020
Murali Chandrashekaran, Rajdeep Grewal, Raj Mehta (2010)
Estimating Contagion on the Internet: Evidence from the Diffusion of Digital/Information ProductsJournal of Interactive Marketing, 24
J. Church, Neil Gandal (1992)
NETWORK EFFECTS, SOFTWARE PROVISION, AND STANDARDIZATION*Journal of Industrial Economics, 40
H. Gruber, F. Verboven (1999)
The Diffusion of Mobile Telecommunications Services in the European UnionIO: Productivity
R. Mosconi, M. Colombo (1995)
Complementarity and cumulative learning effects in early diffusion of multiple technologiesJournal of Industrial Economics, 43
Emanuele Giovannetti (2003)
Technology Adoption and the Emergence of Regional AsymmetriesJournal of Industrial Economics, 48
Digital 2021 : July Global Statshot Report , July 2021
Wen-Lin Chu, Feng-Shang Wu, Kai-Sheng Kao, D. Yen (2009)
Diffusion of mobile telephony: An empirical study in TaiwanTelecommunications Policy, 33
N. Meade, T. Islam (2006)
Modelling and forecasting the diffusion of innovation – A 25-year reviewInternational Journal of Forecasting, 22
(2003)
The origins and development of the logit modelLogit Models from Economics and Other Fields
(2008)
Eurasian Business Review
M. Katz, C. Shapiro (1985)
Network Externalities, Competition, and CompatibilityThe American Economic Review, 75
(2004)
An analysis of the economic situation on modelling and forecasting the diffusion of wireless communications in Finland
Jennifer Reinganum (1981)
Market Structure and the Diffusion of New TechnologyThe Bell Journal of Economics, 12
(International Telecommunication Union (2020). World Telecommunication/ICT Indicators Database 2020. (24th Edition/December 2020), Geneva.)
International Telecommunication Union (2020). World Telecommunication/ICT Indicators Database 2020. (24th Edition/December 2020), Geneva.International Telecommunication Union (2020). World Telecommunication/ICT Indicators Database 2020. (24th Edition/December 2020), Geneva., International Telecommunication Union (2020). World Telecommunication/ICT Indicators Database 2020. (24th Edition/December 2020), Geneva.
B. Arthur, W. Arthur (1989)
INCREASING RETURNS AND LOCK-IN BY HISTORICAL EVENTS
E. Mansfield (1968)
Industrial Research and Technological Innovation: An Econometric Analysis
(Gartner, IT glossary, available http://www.gartner.com/it-glossary/mobile-social-networks.)
Gartner, IT glossary, available http://www.gartner.com/it-glossary/mobile-social-networks.Gartner, IT glossary, available http://www.gartner.com/it-glossary/mobile-social-networks., Gartner, IT glossary, available http://www.gartner.com/it-glossary/mobile-social-networks.
K. Konrad, Amedeo Spadaro, Zusammenfassung Bildung, Steuerumverteilung Vertrauen (2005)
Research Area Markets and Political Economy Research Unit Market Processes and Governance Forschungsschwerpunkt Markt Und Politische Ökonomie Abteilung Marktprozesse Und Steuerung Education, Redistributive Taxation and Confidence
Z. Griliches (1957)
HYBRID CORN: AN EXPLORATION IN THE ECONOMIC OF TECHNOLOGICAL CHANGEEconometrica, 25
G. Madden, Grant Coble-Neal (2004)
Economic determinants of global mobile telephony growthInf. Econ. Policy, 16
Matthew Summers (2020)
Facebook isn't free: zero-price companies overcharge consumers with dataBehavioural Public Policy
J. Cramer (2003)
Logit Models from Economics and Other Fields: The origins and development of the logit model
P. David (1985)
Clio and the Economics of QWERTYThe American Economic Review, 75
Timothy Hannan, J. McDowell (1984)
The Determinants of Technology Adoption: The Case of the Banking FirmThe RAND Journal of Economics, 15
M. Katz, C. Shapiro (1986)
Technology Adoption in the Presence of Network ExternalitiesJournal of Political Economy, 94
J. Church, Neil Gandal, D. Krause (2002)
Indirect Network Effects and Adoption ExternalitiesReview of Network Economics, 7
J. James (2010)
ICT4D: Information and Communication Technology for DevelopmentJ. Assoc. Inf. Sci. Technol., 61
T. Russell (1980)
Comments on "The Relationship between Diffusion Rates, Experience Curves, and Demand Elasticities for Consumer Durable Technological Innovations."The Journal of Business, 53
T. Islam, D. Fiebig, N. Meade (2002)
Modelling multinational telecommunications demand with limited dataInternational Journal of Forecasting, 18
J. Hauser, G. Tellis, A. Griffin (2006)
Research on Innovation: A Review and Agenda for Marketing ScienceMarketing Science, 25
R. Floud, N. Rosenberg (1977)
Perspectives on technologyMedical History, 21
P. Geroski (2000)
Models of technology diffusionResearch Policy, 29
M. Scaglione, Emanuele Giovannetti, Mohsen Hamoudia (2015)
The diffusion of mobile social networking: Exploring adoption externalities in four G7 countriesInternational Journal of Forecasting, 31
B. Garrison (2000)
Diffusion of a New TechnologyConvergence: The International Journal of Research into New Media Technologies, 6
Emanuele Giovannetti (2013)
Catching Up, Leapfrogging, or Forging Ahead? Exploring the Effects of Integration and History on Spatial Technological AdoptionsEnvironment and Planning A, 45
C. Antonelli (1990)
Induced Adoption and Externalities in the Regional Diffusion of Information TechnologyRegional Studies, 24
C. Antonelli (2012)
The Economics of Localized Technological Change and Industrial Dynamics
(2009)
Usage and diffusion of cellular telephony, 1998–2004International Journal of Industrial Organization, 27
J. West, M. Mace (2010)
Browsing as the killer app: Explaining the rapid success of Apple's iPhoneTelecommunications Policy, 34
(Kemp, S. (2021a). Digital 2021: Global overview report, January 2021. We are social; Hootsuite; DataReportal Accessed on 22 Oct 2021.)
Kemp, S. (2021a). Digital 2021: Global overview report, January 2021. We are social; Hootsuite; DataReportal Accessed on 22 Oct 2021.Kemp, S. (2021a). Digital 2021: Global overview report, January 2021. We are social; Hootsuite; DataReportal Accessed on 22 Oct 2021., Kemp, S. (2021a). Digital 2021: Global overview report, January 2021. We are social; Hootsuite; DataReportal Accessed on 22 Oct 2021.
N Rosenberg (1976)
10.1017/CBO9780511561313
J. Binken, S. Stremersch (2009)
The Effect of Superstar Software on Hardware Sales in System MarketsJournal of Marketing, 73
S. Stremersch, G. Tellis, Philip Franses, J. Binken (2007)
Indirect Network Effects in New Product GrowthJournal of Marketing, 71
T. Islam, N. Meade (2012)
The impact of competition, and economic globalization on the multinational diffusion of 3G mobile phonesTechnological Forecasting and Social Change, 79
(Kemp, S. (2021b). Digital 2021: July Global Statshot Report, July 2021. We Are Social; Hootsuite; DataReportal. Accessed on 22 Oct 2021.)
Kemp, S. (2021b). Digital 2021: July Global Statshot Report, July 2021. We Are Social; Hootsuite; DataReportal. Accessed on 22 Oct 2021.Kemp, S. (2021b). Digital 2021: July Global Statshot Report, July 2021. We Are Social; Hootsuite; DataReportal. Accessed on 22 Oct 2021., Kemp, S. (2021b). Digital 2021: July Global Statshot Report, July 2021. We Are Social; Hootsuite; DataReportal. Accessed on 22 Oct 2021.
S. Kapur (1995)
Technological Diffusion with Social LearningSustainable Technology eJournal
J. Goldenberg, B. Libai, E. Muller (2010)
The chilling effects of network externalitiesInternational Journal of Research in Marketing, 27
Alessandro Casagrande-Seretti, F. Montagna, G. Cascini (2019)
A decision support model to assess technological paradigmsInt. J. Technol. Manag., 80
(2003)
The DVD vs. DIVX standard war: Empirical evidence on network effects and preannouncement effectsJournal of Economics and Management Strategy, 12
We Are Social; Hootsuite; Data-Reportal
(1969)
A new product growth model for consumer durablesManagement Science, 15
(2019)
A decision support model to assess technological paradigmsInternational Journal of Technology Management, 80
F. Bass (2004)
A New Product Growth for Model Consumer DurablesManag. Sci., 50
D. Dranove, Neil Gandal (2002)
The Dvd Versus Divx Standard War: Empirical Evidence of Network Effects and Preannouncement EffectsCEPR Discussion Paper Series
Nicoletta Corrocher, R. Fontana (2008)
Expectations, network effects and timing of technology adoption: some empirical evidence from a sample of SMEs in ItalySmall Business Economics, 31
J. Dean (1996)
Pricing Policies for New Products
The early diffusion of mobile social networking (MSN) reflected the interplay of different factors: the affordability of better Internet connectivity and the diffusion of Smartphones suitable for Social Networking Applications. These key technology and cost drivers facilitated both the direct and indirect network externalities, which are necessary to overtake critical adoption barriers and facilitate users' decisions. However, a key challenge in modeling MSN diffusion is in distinguishing among the impact of these two types of network externalities. This paper addresses such a challenge by adopting a two-stage estimation strategy. In the first stage, we focus on direct network externalities by estimating a set of country-specific adoptions peaks that allow differentiating between early and late adopters. In the second stage, we estimate the impact of indirect network externalities on MSN diffusion while also considering the role of pricing strategies. Our results provide significant evidence that indirect network externalities can exert opposite effects on adoption between early adopters and followers, depending on whether they adopt before or after a country's MSN diffusion peak.
Eurasian Business Review – Springer Journals
Published: Dec 1, 2022
Keywords: Diffusion; Interaction models; Early adopters; Indirect network externalities; Mobile social networking; O33; O35; C22; M31
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