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Leveraging collective intelligence: How to design and manage crowd-based business models
Institution:1. Institute of Information Systems, University of Bern, Bern, Switzerland;2. Research Center for Digital Sustainability at the Institute of Computer Science, University of Bern, Bern, Switzerland;1. Saint Joseph''s University, 303 Mandeville Hall, 5600 City Avenue, Philadelphia, PA 19131, USA;2. University of Tennessee, 323 Stokely Management Center, 916 Volunteer Boulevard, Knoxville, TN 37996-0530, USA;3. Fox School of Business, Temple University, 1801 Liacouras Walk, A523 Alter Hall (006-09), Philadelphia, PA 19122-6083, USA
Abstract:Advances in digital technologies have increased the possibilities for outsourcing business activities to crowds of independent contributors. Using the collective intelligence of a crowd opens a new range of business opportunities. In fact, crowdsourcing has led to the emergence of entirely new business models. Such crowd-based business models (CBBMs) can lead to an important competitive advantage while simultaneously presenting new challenges to entrepreneurs and executives. This article identifies and discusses three key challenges in designing and managing CBBMs: determining (1) the crowd's value to the firm, (2) how to create superior value for the crowd, and (3) how to capture value from the crowd effectively. Building on the crowd capital perspective and an analysis of the tactics and practices of successful CBBMs, this article offers propositions on how to overcome these challenges and manage such business models effectively. The identified practices can inspire decision makers when designing innovative CBBMs for their industries. Finally, the article concludes with a framework with the key decisions and tactics for effectively managing CBBMs.
Keywords:Crowd-based business models  Crowdsourcing  Value co-creation  Crowd value  Collective intelligence  Value creation strategies
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