Tobias Guggenberger , Moritz Schüll , Jens-Christian Stoetzer , Nils Urbach
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引用次数: 0
Abstract
The public sector faces increasing pressure to drive digital innovation to meet modern societies' demands. Existing literature calls for systematic approaches to digital innovation in the public sector and a better understanding thereof. However, the public sector still struggles to foster digital innovation and often fails to promote explorative initiatives as a basis for innovation. In this paper, using a case study of a German consortium project, we investigate how public-private partnerships can promote digital innovation in the public sector. We do so by adopting the resourcing perspective and building on recent conceptual work on network resourcing. Our findings reveal that the unique characteristics of digital innovation, as opposed to traditional forms of innovation, influence how public-private partnerships can effectively drive digital innovation. We identify decentralized, cross-sector digital innovation clusters as a critical factor for the emergence of digital innovation in public-private partnerships and theorize dissemination practices as an extension to network resourcing in cases of distributed innovation agency within networks of public-private partnerships.
期刊介绍:
Advances in information and communication technologies are associated with a wide and increasing range of social consequences, which are experienced by individuals, work groups, organizations, interorganizational networks, and societies at large. Information technologies are implicated in all industries and in public as well as private enterprises. Understanding the relationships between information technologies and social organization is an increasingly important and urgent social and scholarly concern in many disciplinary fields.Information and Organization seeks to publish original scholarly articles on the relationships between information technologies and social organization. It seeks a scholarly understanding that is based on empirical research and relevant theory.