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Should Buyers Try to Shape IT Markets Through Non-Market (Collective) Action? Antecedents of a Transaction Cost Theory of Network Effects

Should Buyers Try to Shape IT Markets Through Non-Market (Collective) Action? Antecedents of a Transaction Cost Theory of Network Effects

Kai Reimers, Mingzhi Li
Copyright: © 2005 |Volume: 3 |Issue: 1 |Pages: 24
ISSN: 1539-3062|EISSN: 1539-3054|ISSN: 1539-3062|EISBN13: 9781615203871|EISSN: 1539-3054|DOI: 10.4018/jitsr.2005010103
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MLA

Reimers, Kai, and Mingzhi Li. "Should Buyers Try to Shape IT Markets Through Non-Market (Collective) Action? Antecedents of a Transaction Cost Theory of Network Effects." IJITSR vol.3, no.1 2005: pp.44-67. http://doi.org/10.4018/jitsr.2005010103

APA

Reimers, K. & Li, M. (2005). Should Buyers Try to Shape IT Markets Through Non-Market (Collective) Action? Antecedents of a Transaction Cost Theory of Network Effects. International Journal of IT Standards and Standardization Research (IJITSR), 3(1), 44-67. http://doi.org/10.4018/jitsr.2005010103

Chicago

Reimers, Kai, and Mingzhi Li. "Should Buyers Try to Shape IT Markets Through Non-Market (Collective) Action? Antecedents of a Transaction Cost Theory of Network Effects," International Journal of IT Standards and Standardization Research (IJITSR) 3, no.1: 44-67. http://doi.org/10.4018/jitsr.2005010103

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Abstract

This paper develops a transaction cost theoretic model of network effects and applies it to assessing the chances of users to influence the range of technological choices available on IT markets through collective action. The theoretical basis of the model is formulated by a number of empirically refutable propositions which overcome a number of conceptual and empirical difficulties encountered by the traditional interpretation of network effects as (positive) network externalities. The main difference between our model and modeling network effects as network externalities is that network effects are seen as caused by the costs of purchasing/marketing new technology, that is, transaction costs, rather than by the benefits of using new technology. A preliminary application of the model suggests that users can significantly improve the chances of replacing an established technology by a new, potentially superior one if they set up an organizational structure that serves as a conduit of information exchange and knowledge sharing. This, however, would call for a rather different type of collective user action than exists today in the form of user groups.

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