Public organizations have been interested in tapping into the creativity and passion of the public through the use of open innovation, which emphasizes bottom-up ideation and collaboration. A challenge for organizational adoption of open innovation is that the quick-start, bottom-up, iterative nature of open innovation does not integrate easily into the hierarchical, stability-oriented structure of most organizations. In order to realize the potential of open innovation, organizations must be willing to change the way they operate. This dissertation is a case study of how Arizona State University (ASU), has adapted its organizational structure and created unique programming to incorporate open innovation. ASU has made innovation, inclusion, access, and real world impact organizational priorities in its mission to be the New American University. The primarily focus of the case study is the experiential knowledge of administrative leaders and administrative intermediaries who have managed open innovation programming at the university over the past five years. Using theoretical pattern matching, administrator insights on open innovation adoption are illustrated in terms of design stages, teamwork, and ASU's culture of innovation. It is found that administrators view iterative experimentation with goals of impact as organizational priorities. Institutional support for iterative, experimental programming, along with the assumption that not every effort will be successful, empowers administrators to push to be bolder in their implementation of open innovation. Theoretical pattern matching also enabled a detailed study of administrator alignment regarding one particular open innovation program, the hybrid participatory platform 10,000 Solutions. Creating a successful and meaningful hybrid platform is much more complex than administrators anticipated at the outset. This chapter provides administrator insights in the design, management, and evaluation of participatory platforms. Next, demographic assessment of student participation in open innovation programming is presented. Demographics are found to be reflective of the university population and provide indicators for how to improve existing programming. This dissertation expands understanding of the task facing administrators in an organization seeking to integrate open innovation into their work.

It is now fashionable to seek innovation in the public sector. As routine government practices have failed to solve complex policy problems, innovation is increasingly seen as the key to establishing public faith in government agencies' ability to perform. However, not surprisingly, governments have often failed to support and maintain innovation over time. The purpose of this study is to examine what accounts for sustained innovation in government transparency. This is an in-depth analysis of the diffusion of the Electronic Freedom of Information Act (EFOIA) across the US states from 1996 to 2013. With the theoretical basis of policy diffusion, this study measures the degree of innovation among states by the timing of adoption, and by the extent of implementation. The factors that influence states' adoption and implementation of EFOIA will be compared, thereby explaining why some early adopters failed to maintain the leader position in innovation in government transparency through the implementation phase. The study findings show that the failure of early adopters in sustained innovation is the result of the conditional nature of diffusion mechanisms (i.e. socialization and learning) which operate differently at the adoption and implementation stages of EFOIA. This study contributes to a better understanding of the role of the legal environment created by the federal government, and the relationships between state governments in sustaining innovation in government transparency.