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Rethinking Lock-in and Locking: Adopters Facing Network Effects

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Abstract

When are we locked in a path? This is one of the main questions concerning path dependency. Coming from Arthur's model of increasing returns and technology adoption (Arthur 1989), this paper addresses the question of when and how a lock-in occurs. To gain a better understanding of the path process, different modifications are made. First, the random selection of two types of adopters is substituted with a random selection of adopters having a Gaussian distributed natural inclination. Second, Arthur's model shows only indirect network effects, so direct network effects are added to the model. Furthermore, it is shown that there is an asymptotic lock-in function referring to the technology A and B adopter ratio; this ratio is calculated within the process on the basis of a returning probability to an open state. In the following, the developed model is used to simulate path process without increasing returns, with increasing returns stopping when a lock-in occurs, as well as random drop-outs of increasing returns. One answer that could be drawn out of this new extended model is that there is no lock-in without further stabilizing returns. This and other aspects are used to provide a simplified path-model for empirical research. Finally, its limits are discussed in regard to uncertainty, innovation, and changes in network effect parameters.

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  • Marc R.H. Roedenbeck & Barnas Nothnagel, 2007. "Rethinking Lock-in and Locking: Adopters Facing Network Effects," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(1), pages 1-4.
    • Handle: RePEc:jas:jasssj:2006-76-2
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    1. Loet Leydesdorff, 2001. "Technology and Culture: the Dissemination and the Potential 'Lock-In' of New Technologies," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 4(3), pages 1-5.
    2. Puffert, Douglas J., 2002. "Path Dependence in Spatial Networks: The Standardization of Railway Track Gauge," Explorations in Economic History, Elsevier, vol. 39(3), pages 282-314, July.
    3. Arthur, W Brian, 1989. "Competing Technologies, Increasing Returns, and Lock-In by Historical Events," Economic Journal, Royal Economic Society, vol. 99(394), pages 116-131, March.
    4. Leydesdorff, Loet, 2000. "The triple helix: an evolutionary model of innovations," Research Policy, Elsevier, vol. 29(2), pages 243-255, February.
    5. John Kemp, 1999. "Spontaneous Change, Unpredictability and Consumption Externalities: a Dynamic Approach to Consumer Choice," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 2(3), pages 1-1.
    6. José Castro Caldas & Helder Coelho, 1999. "The Origin of Institutions: Socio-Economic Processes, Choice, Norms and Conventions," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 2(2), pages 1-1.
    7. Garud, Raghu & Karnoe, Peter, 2003. "Bricolage versus breakthrough: distributed and embedded agency in technology entrepreneurship," Research Policy, Elsevier, vol. 32(2), pages 277-300, February.
    8. Constance E. Helfat, 1994. "Evolutionary Trajectories in Petroleum Firm R&D," Management Science, INFORMS, vol. 40(12), pages 1720-1747, December.
    9. Franco Malerba & Richard Nelson & Luigi Orsenigo & Sidney G. Winter, 2001. "History-Friendly Models: an Overview of the Case of the Computer Industry," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 4(3), pages 1-6.
    10. Liebowitz, S J & Margolis, Stephen E, 1995. "Path Dependence, Lock-in, and History," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 11(1), pages 205-226, April.
    11. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
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