DocumentCode :
3285003
Title :
Organizational capabilities for successful innovation
Author :
Lewrick, Michael ; Raeside, Robert ; Omar, Maktoba
Author_Institution :
Edinburgh Napier Univ., Edinburgh, UK
fYear :
2012
fDate :
18-20 June 2012
Firstpage :
1
Lastpage :
14
Abstract :
The ability to innovate and sustain a programme of innovation has become critical to the promotion of competitiveness and achieving and sustaining business success. There are many determinants of innovation: some are related with technology push and pull, or the individual abilities of the entrepreneur, but many are related to innovation capabilities of the organization. It is important to comprehend these capabilities and to understand “what works, and why and how it works” to advance innovation success. Data collected from high-technology companies in Munich are analysed using multi nominal logistic regression models to determine correlates of innovation capabilities and innovation achievement. All companies have been founded under the formal requirements of the Munich Business Plan Competition (MBPW). Analysis is conducted for radical, incremental and total innovation. The paper reports the analysis and how innovation relates to the process of knowledge acquisition; customer intelligence and market orientation are associated with enhanced business performance. Features of exploiting the networks and measuring innovation performance are also found to be important.
Keywords :
competitive intelligence; consumer behaviour; innovation management; knowledge acquisition; logistics; organisational aspects; regression analysis; risk management; MBPW; Munich business plan competition; business competitiveness; business success; customer intelligence; entrepreneur individual abilities; high-technology companies; innovation performance measurement; innovation programe; knowledge acquisition; market orientation; multinominal logistic regression models; organizational innovation capabilities; technology push and pull; Abstracts; Manufacturing; Technological innovation; Innovation; innovation management innovation; management capabilities; multinomial logistic regression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering, Technology and Innovation (ICE), 2012 18th International ICE Conference on
Conference_Location :
Munich
Print_ISBN :
978-1-4673-2273-7
Electronic_ISBN :
978-1-4673-2274-4
Type :
conf
DOI :
10.1109/ICE.2012.6297711
Filename :
6297711
Link To Document :
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