Giaccone, Sonia Caterina, and Maria Cristina Longo. "Insights on the innovation hub's design and management." International Journal of Technology Marketing 11.1 (2015): 97. Business Insights: Essentials

Format: Peer-reviewed article

Type: Research — Non-experimental

Experience level of reader: Fundamental

Annotation: Innovation hubs are meta-organizations which facilitate informal idea exchanges with the intent to spurn discoveries and solve problems. The “hub” model serves to describe the platform as a non-hierarchical community of idea-sharing with separate individuals, organizations, or communities representing the spokes. Policies must facilitate creativity while keeping progress on-task, a delicate balance. Factors influencing effectiveness include its boundaries, rules for access, and user interface platform. 

Setting(s) to which the reported activities/findings are relevant: Community, Federal Lab, Government, Large business, Small business, University

Knowledge user level addressed by the literature: Individual, Organizations, Sectors

This article uses the Commercial Devices and Services version of the NtK Model

• Research collaborations produce a great volume of data, which must be sifted for valuable information. Knowledge gleaned from this data must be organized and made available for future use.
  Literature review and case study.
  Occurrence of finding within the model: NtK 3.5, 3.9
• Informal knowledge sharing platforms lack the predictability and organization of formal systems with regards to management goals like regulating participation and leveraging connections. 
  Literature review and case study. 
  Occurrence of finding within the model: NtK 2.2, 3.7

• In a hub model stakeholders can share insights and receive feedback.
  Literature review and case study.
  Occurrence of finding within the model: NtK 1.3, 2.2, 4.11
• Collaboration via hubs creates innovation and solves problems faster, speeding up development cycles and reducing project costs. Literature review and case study.
  Occurrence of finding within the model: NtK 4.3, 4.6
• Innovation hubs are superior to simple crowdsourcing because individuals are recognized for their existing accomplishments or roles.
  Literature review and case study.
  Occurrence of finding within the model: NtK 3.1
• A well designed information hub interface can reduce time spent locating internal information by over 35%.
  Literature review and case study.
  Occurrence of finding within the model: NtK 3.2, 3.8

• Methods: “Big Data” can be quantified in several ways: volume of databank; variety of data types; velocity of production; and veracity of the information’s’ predictability and reliability.
  Literature review and case study.
  Occurrence of finding within the model: NtK 3.6, 3.8