The Development and Evaluation of the GECKOS (Generating Employee Crowdsourced Knowledge for Organizational Solutions) System

We will develop GECKOS (Generating Employee Crowdsourced Knowledge for Organizational Solutions), a collaborative crowdsourcing system to enable large organizations to identify and resolve organizational inefficiencies using only their own personnel. We bring expertise from a range of areas (including cognitive science, systems engineering, information systems, interface design, and organizational analysis) to tackle this challenge. Our integrative, multidisciplinary approach leverages innovations in collaborative crowdsourcing research and our relationships with large partner organizations to design, implement, and test collaborative-crowdsourcing concepts in organizational settings. During Phase II Base, we will develop the GECKOS platform, crowdsourcing algorithms, and workspace configurations. We will experimentally evaluate individual and combined GECKOS algorithm/workspace configurations which, once shown effective, will be integrated into the GECKOS system. Finally, we will evaluate the integrated, fully functional GECKOS system within a large organization. During Phase II Option, we will identify and develop the capabilities required to increase the generalizability of the GECKOS system across organization types. The generalizability of the GECKOS system will also be evaluated. The final GECKOS system will be capable of effectively identifying and resolving inefficiencies in a wide range of organizations (without external assistance) and using only the organization’s own workforce.