Firms are increasingly engaging in crowdsourcing for innovation to access new knowledge beyond their boundaries; however, scholars are no closer to understanding what guides seeker firms in deciding the level at which to acquire rights from solvers and the effect that this decision has on the performance of crowdsourcing contests. Integrating property rights theory and the problem‐solving perspective while leveraging exploratory interviews and observations, we build a theoretical framework to examine how specific attributes of the technical problem broadcast by firms affect the seekers’ choice between alternative intellectual property rights (IPR) arrangements that call for acquiring or licensing‐in IPR from external solvers (i.e., with high and low degrees of ownership, respectively). Each technical problem differs in the knowledge required to be solved as well as in the stage of development of the innovation process and seeker firms pay great attention to such characteristics when deciding about the IPR arrangement they choose for their contests. In addition, we analyze how this choice between acquiring and licensing‐in IPR, in turn, influences the performance of the contest. We empirically test our hypotheses analyzing a unique dataset of 729 challenges broadcast on the InnoCentive platform from 2010 to 2016. Our results indicate that challenges related to technical problems in later stages of the innovation process are positively related to the seekers’ preference toward IPR arrangements with a high level of ownership, while technical problems involving a higher number of knowledge domains are not. Moreover, we found that IPR arrangements with a high level of ownership negatively affect solvers’ participation and that IPR arrangement play a mediating role between the attributes of the technical problem and the solvers’ self‐selection process. Our paper contributes to the open innovation and crowdsourcing literature and provides practical implications for both managers and contest organizers.

NETWORK POSITIONS AND INNOVATION CAPABILITIES IN THE REGIONAL INNOVATION NETWORKThis paper investigates the positioning of actors characterized by different natures in a regional innovation network and explores how these actors improve their innovation capabilities by assuming prominence or brokering positions. Innovation capability is widely seen to be the driving force in building regional competitive advantage, therefore investigating how the positioning of actors improves their innovation-related activities is relevant in terms of regional competitiveness. This paper builds on a survey conducted on the Sicilian regional area in Italy.A questionnaire was used to collect data concerning the relationships established between actors and the extent to which these relationships impact actors' innovation capability. Results suggest that regional actors cannot be considered as a homogeneous group regarding their positioning in a regional network and that the innovation benefits of assuming different network positions depend on their nature. This paper offers some theoretical implications to the literature on regional innovation network and practical suggestions to organizations and regional policy makers.

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The need to solve innovation problems and insource knowledge has led to an increasing number of organizations engaging in crowdsourcing activities and subsequently establishing working relationships with winning solution providers. Using a knowledge-based view and the problem-solving perspective, we develop a theoretical framework suggesting how specific innovation problem attributes (i.e. the decomposability, formulation and search space of the problem) influence the governance decision (unilateral vs. bilateral) of seekers to manage the relationship with winning solvers. We empirically analyse the framework using 582 challenges broadcast on the NineSigma crowdsourcing platform. Our results indicate that problem attributes -the formulation and search space of the problem -have a positive effect on seekers' preference towards unilateral governance structures. However, we did not find any empirical confirmation of the effect that the decomposability of the innovation problem has on seekers' preference towards unilateral governance structures. This study offers several contributions to the crowdsourcing literature, and also has important implications for managers of organizations aiming to insource knowledge through crowdsourcing for innovation contests.

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