Information systems innovation among organizations
Management Science
Design Rules: The Power of Modularity Volume 1
Design Rules: The Power of Modularity Volume 1
European Journal of Information Systems
The Illusory Diffusion of Innovation: An Examination of Assimilation Gaps
Information Systems Research
Modularity and Innovation in Complex Systems
Management Science
The Corporate Digital Divide: Determinants of Internet Adoption
Management Science
Business Models for Internet-Based B2B Electronic Markets
International Journal of Electronic Commerce
Social Media and Firm Equity Value
Information Systems Research
Social media, traditional media, and music sales
MIS Quarterly
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Prior IS research on technological change has focused primarily on organizational information systems and technology innovation; however, there is a growing need to understand the dynamics of supply-side forces in the introduction of new technologies. In this paper we investigate how the interdependencies among information technology components, products, and infrastructure affect the release of new technologies. Going beyond the ad hoc heuristic approaches applied in previous studies, we empirically validate the existence of several patterns of supply-side technology relationships in the context of wireless networking. We use vector autoregression (VAR) to model the comovements of new component, product, and infrastructure introductions and provide evidence of strong Granger-causal interdependencies. We also demonstrate that substantial improvements in forecasting can be gained by incorporating these cross-level effects into models of technological change. This paper provides some of the first research that empirically demonstrates these cross-level effects and also provides an exposition of VAR methodology for both analysis and forecasting in IS research.