Innovation Capacity Monitoring Methodology for Engineering Industry - Matsi, Birthe
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Nowadays business environment tends to be rapidly and non-linearly changing. Business objectives are strongly tied to management of unpredictability and chaos. Therefore, it is important to investigate additional key-drivers that could help to achieve higher innovation capacity in enterprises. Current research is about additional key-drivers that should be considered for making rapid prototyping, innovation capacity estimation and data management in organization more effective. Main conclusions from the research should provide additional surplus value for companies and help to find useful…mehr

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Produktbeschreibung
Nowadays business environment tends to be rapidly and non-linearly changing. Business objectives are strongly tied to management of unpredictability and chaos. Therefore, it is important to investigate additional key-drivers that could help to achieve higher innovation capacity in enterprises. Current research is about additional key-drivers that should be considered for making rapid prototyping, innovation capacity estimation and data management in organization more effective. Main conclusions from the research should provide additional surplus value for companies and help to find useful methods for improving new product development process and achieve higher innovation capacity. In addition, this research describes and points out how customer satisfaction can be improved by using new data management possibilities in e-business.
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Autorenporträt
Brithe earned her doctoral degree in 2011in Mechanical Engineering from Tallinn University of Technology. She is currently working as the Head of E- Channels at SEB, Estonia. She has authored and published many papers at both a national and an international level