dc.contributor.author
Meyer, Tobias Georg
dc.date.accessioned
2018-06-07T22:49:25Z
dc.date.available
2012-08-08T09:43:15.667Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/9686
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-13884
dc.description
1 Introduction 2 Theoretical background 2.1 Technological path dependence
2.1.1 David’s economics of QWERTY 2.1.2 Arthur’s model of competing
technologies 2.1.3 Properties of path-dependent processes 2.1.3.1
Unpredictability 2.1.3.2 Inflexibility and lock-in 2.1.3.3 Nonergodicity
2.1.3.4 Potential inefficiency 2.1.4 Debate on inefficiency and market failure
2.1.4.1 Critique by Liebowitz and Margolis 2.1.4.2 Different degrees of lock-
in 2.1.4.3 Path dependence and market failure 2.1.5 Conditions for path
dependence 2.1.5.1 Contingency 2.1.5.2 Self-reinforcement 2.2 Two-sided
markets: A holistic perspective on indirect network effects 2.2.1 Types and
examples of two-sided markets 2.2.2 Key terms and features 3 Development of
research question 3.1 Research gap and research question 3.2 Focus of the
study 3.2.1 Strength of network effects and differences in platform quality
3.2.2 Imperfect information and bounded rationality 3.2.3 Switching 3.2.4
Multi-homing 4 Research methodology 4.1 Rationale for choosing a simulation
approach 4.2 Choice of simulation method: Modeling the forest or modeling the
trees? 4.3 The process of simulation research 4.3.1 Phase 1: Conceptual
modeling 4.3.2 Phase 2: Model coding 4.3.3 Phase 3: Design of experiments
4.3.4 Phase 4: Experimentation and data analysis 4.3.5 Phase 5: Evaluation of
results 5 Model 5.1 Overview 5.1.1 Purpose 5.1.2 Entities, state variables and
scales 5.1.2.1 Platforms 5.1.2.2 Users 5.1.2.3 Complementors 5.1.3 Process
overview and scheduling 5.2 Design concepts 5.3 Details 5.3.1 Initialization
5.3.2 Input data 5.3.3 Submodels 5.3.3.1 Platforms 5.3.3.2 Users 5.3.3.3
Complementors 5.3.3.4 Summary of model parameters 6 Empirical case: platform
competition in the smartphone industry 6.1 An introduction to the smartphone
industry 6.2 Defining a smartphone platform and its ecosystem 6.3 The current
competitive landscape in the smartphone industry 7 Model validation and
calibration: empirical evidence from the smartphone industry 7.1 Applicability
of the model to the empirical case 7.2 Data requirements and data sources 7.3
Innovation diffusion 7.4 Users: evidence from a consumer survey 7.4.1
Information search 7.4.2 Preference formation: A conjoint analysis 7.4.2.1
Design of the conjoint analysis 7.4.2.2 Results of the conjoint analysis
7.4.2.3 Estimation of the utility function for apps 7.4.3 Rationality level
7.4.4 Switching behavior 7.5 Complementors: evidence from semi-structured
interviews with application developers 7.5.1 Maximizing reach 7.5.2 Synergy
level 7.5.3 Switching behavior 7.5.4 Number of apps over time 7.6 Platforms
7.7 Summary 8 Simulation 8.1 Computational implementation of the conceptual
model 8.2 Design of experiments 8.2.1 Classification of variables 8.2.2
Factors, factor levels and factorial design 8.2.3 Response variable 8.2.4
Required number of runs 8.3 Base case experiment: A perfect world 8.3.1
Arthur’s model revisited: No differences in quality 8.3.2 Introducing quality
differences 8.4 Full calibration experiment 8.5 Experiment 1: Strength of
network effects and differences in platform quality 8.6 Experiment 2:
Imperfect information and bounded rationality 8.7 Experiment 3: Switching 8.8
Experiment 4: Multi-homing 8.9 Full calibration experiment with successive
market entry 8.10 Experiment 5: Strength of network effects and differences in
platform quality in the case of successive market entry 8.11 Robustness check
9 Discussion 9.1 Validity of the findings 9.2 Implications for path dependence
theory 9.3 Practical implications 9.4 Limitations and further research 9.5
Summary and conclusion 10 References 11 Additional references for the
empirical case (chapter 6 & appendix B) Appendices Appendix A Model
documentation and source code Appendix B A brief history of the smartphone
industry B.1 The early years: 1990 - 2000 B.2 Gaining momentum: 2000 - 2007
B.3 The post-iPhone era: 2007 - 2011 Appendix C Screenshots of the consumer
survey Appendix D Guideline for interviews with developers Appendix E Abstract
Appendix F Co-authorship and publications Appendix G Curriculum vitae
dc.description.abstract
This dissertation proposes an agent-based simulation model of platform
competition to investigate the phenomenon of technological path dependence in
two-sided markets. The computer simulation explores the interaction of
indirect network effects, bounded rationality, switching behavior, multi-
homing strategies and entry timing of competing technologies. The study
illustrates different market dynamics by conducting counterfactual experiments
for the global smartphone industry, and identifies conditions which are
(un)favorable to the emergence of technological lock-ins. On these grounds,
the dissertation contributes to the theoretical literature on path dependence
by complementing existing empirical case studies with a formal simulation
model.
de
dc.description.abstract
Im Rahmen der Dissertation wird ein agentenbasiertes Simulationsmodell
entwickelt, dass die Entstehung technologischer Pfadabhängigkeiten in
zweiseitigen Märkten untersucht. Die Computersimulation erforscht die
Interaktion von indirekten Netzeffekten, begrenzter Rationalität,
Wechselverhalten, 'multi-homing' Strategien und dem Markteintrittszeitpunkt
konkurrierender Technologien. Die Arbeit illustriert unterschiedliche
Wettbewerbsdynamiken mit Hilfe von kontrafaktischen Experimenten für die
globale Smartphone-Industrie. Auf dieser Grundlage werden (nicht-)förderliche
Faktoren für die Entstehung von technologischen Lockins identifiziert. Das
formale Simulationsmodell ergänzt bestehende empirische Fallstudien zu
technologischen Pfaden und liefert damit einen theoretischen Beitrag zur
Pfadabhängigkeitsforschung.
de
dc.format.extent
XV, 349 S.
dc.rights.uri
http://www.fu-berlin.de/sites/refubium/rechtliches/Nutzungsbedingungen
dc.subject
path dependence
dc.subject
two-sided markets
dc.subject
network effects
dc.subject
agent-based simulation
dc.subject
smartphone industry
dc.subject.ddc
300 Sozialwissenschaften::330 Wirtschaft
dc.title
Path dependence in two-sided markets
dc.contributor.contact
t-meyer@gmx.de
dc.contributor.firstReferee
Prof. Dr. Georg Schreyögg
dc.contributor.furtherReferee
Prof. Dr. Michael Kleinaltenkamp
dc.contributor.furtherReferee
Prof. Dr. Klaus G. Troitzsch
dc.date.accepted
2012-06-28
dc.identifier.urn
urn:nbn:de:kobv:188-fudissthesis000000038676-4
dc.title.subtitle
A simulation study on technological path dependence with an application to
platform competition in the smartphone industry
dc.title.translated
Pfadabhängigkeit in zweiseitigen Märkten
de
dc.title.translatedsubtitle
Eine Simulationsstudie zu technologischer Pfadabhängigkeit, exemplarisch
dargestellt am Plattformwettbewerb in der Smartphone-Industrie
de
refubium.affiliation
Wirtschaftswissenschaft
de
refubium.mycore.fudocsId
FUDISS_thesis_000000038676
refubium.mycore.derivateId
FUDISS_derivate_000000012507
dcterms.accessRights.dnb
free
dcterms.accessRights.openaire
open access
