Learning curve analysis in NASA

dc.contributor.advisorIstván Kun, András
dc.contributor.authorNejadtaheri, Atena
dc.contributor.departmentDE--Gazdaságtudományi Kar
dc.date.accessioned2025-12-18T13:45:39Z
dc.date.available2025-12-18T13:45:39Z
dc.date.created2025-10-29
dc.description.abstractThis thesis explores how organizational learning in NASA's Landsat satellite program is explained by Knowledge Management (KM) and the Learning Curve (LC) model. Qualitative data from NASA's LLIS and APPEL systems further demonstrates that knowledge transfer improved reliability, mission longevity, and operational stability. Regression analysis of nine missions demonstrates that cost efficiency increased with cumulative experience, particularly after eliminating outlier missions (Landsat 1 and 5). These results show that NASA's learning is complex, integrating institutionalized experience sharing with technological advancement. All things considered, the Landsat program serves as an example of how effective knowledge management and ongoing organizational learning maintain performance and innovation over decades of space operation.
dc.description.courseBusiness Administration and management
dc.description.degreeBSc/BA
dc.format.extent50
dc.identifier.urihttps://hdl.handle.net/2437/400987
dc.language.isoen
dc.rights.infoHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subjectNASA
dc.subjectLearning Curve
dc.subjectKnowledge Management
dc.subjectLandsat
dc.subject.dspaceEconomics::Business economics
dc.titleLearning curve analysis in NASA
dc.title.translatedTanulási görbe elemzés a NASA-nál
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