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We propose a new conceptual model for understanding technology evolution that highlights dynamic and highly interdependent relationships among multiple technologies. We argue that, instead of considering technologies in isolation, technology evolution is best viewed as a dynamic system or ecosystem that includes a variety of interrelated technologies. By considering the interdependent nature of technology evolution, we identify three roles that technologies play within a technology ecosystem. These roles are components, products and applications, and support and infrastructure. Technologies within an ecosystem interact through these roles and impact each others' evolution. We also classify types of interactions between technology roles, which we term paths of influence. We demonstrate the use of our proposed model through examples of wireless networking (Wi-Fi) technologies and a business mini-case on the digital music industry.

I nnovation contests are increasingly adopting a format where submissions are viewable by all contestants and the information structure changes during the contest. In such an "unblind" format, contestants must weigh the costs of revealing their submissions against the benefits of improving their submissions through emerging information. We take a closer look at how contestants solve problems in innovation contests with public submission of solutions-that is, unblind contests, by examining the implications of their submission behavior for contest outcomes. We analyze the submission behavior in terms of three dimensions: the position of first submission by the contestant, the number of submissions the contestant makes, and the length of active participation by the contestant. The econometric analysis of a large dataset of unblind innovation contests and participating contestants indicates that, despite the potential for free riding and intellectual property loss from disclosure of submissions, contestants who have a lower position of first submission are more likely to succeed in the contest. Further, we find some evidence of a curvilinear relationship between a contestant's number of submissions and her likelihood of success, indicating a potential "quality-quantity" trade-off in unblind innovation contests. Finally, our findings indicate that increasing the length of participation in a contest has a positive effect on a contestant's likelihood of success. Departing from prior studies on innovation contests, where a contestant's success is assumed to be a function of her prior experience and problem-solving skills, our study provides new empirical evidence that, in innovation contests with public submissions, the submission behavior of a contestant also plays an explanatory role in a contestant's success.

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