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    Opening the floodgates : How big companies can reap the benefits of internal crowdfunding
    Digital technologies enable employees at all levels to participate in distributed decision-making. We examine the design principles, benefits, and challenges of a new type of distributed decision-making: internal crowdfunding. We build on a five-year case study of internal crowdfunding contests at Siemens AG to deepen our understanding of the design principles of internal crowdfunding and its potential for corporate innovation. Based on this data, we discuss the three design choices in internal crowdfunding (contributors, configuration, and control), find four key benefits (decentralization, cross-collaboration, institutionalization, and intrapreneurship), and identify three key challenges (dealing with rejected ideas, evaluation biases, and implementation and follow-on funding) and potential actions by managers to overcome them. The paper contributes to both the emerging literature on internal crowdfunding and the literature on distributed decision-making.
    Publicationtype: Journal Article
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    Item type:Publication,
    Toward a better understanding of corporate accelerator models
    Corporate accelerator programs—accelerators managed by or directly sponsored by one or multiple established firms—are becoming an integral part of startup ecosystems and an important startup engagement vehicle for established firms. Previous research focused either on independent accelerators or on corporate accelerator programs that one established firm operates internally. However, new accelerator models emerged recently, making the corporate accelerator phenomenon more diverse. The purpose of this article is to provide an overview of the different types of corporate accelerators, along with their objectives and characteristics in order for managers to better understand which type best fits their organization. Our insights on corporate accelerators emerged from secondary data and interviewees from companies and accelerator programs. We used these insights to categorize the programs into four corporate accelerator models that vary according to number of participants and the accelerator's management structure and explain how companies can select the right model for their objectives.
    Publicationtype: Journal Article
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