Title :
Knowledge sharing leveraging new product development activities to derive enhanced business performance: Mixed method study
Author :
Huang, T.T. ; Stewart, R.A. ; Chen, L.
Author_Institution :
Griffith Sch. of Eng., Griffith Univ., Gold Coast, QLD, Australia
Abstract :
Knowledge has been widely recognised as a determinant of business performance. Business capabilities require an effective share of resource and knowledge. Specifically, knowledge sharing (KS) between different companies and departments can improve manufacturing processes since intangible knowledge plays an essential role in achieving competitive advantage. This paper presents a mixed method research study into the impact of KS on the effectiveness of new product development (NPD) in achieving desired business performance (BP). Firstly, an empirical study utilising moderated regression analysis was conducted to test whether and to what extent KS has leveraging power on the relationship between NPD and BP constructs and variables. Secondly, this empirically verified hypothesis was validated through explanatory case studies involving two Taiwanese manufacturing companies using a qualitative interaction term pattern matching technique. The study provides evidence that knowledge sharing and management activities are essential for deriving competitive advantage in the manufacturing industry.
Keywords :
competitive intelligence; knowledge management; manufacturing industries; manufacturing processes; product development; regression analysis; Taiwanese manufacturing company; business performance; competitive advantage; knowledge management; knowledge sharing; manufacturing industry; manufacturing process; new product development; qualitative interaction term pattern matching; regression analysis; Business; Companies; Consumer electronics; Costs; Knowledge management; Manufacturing industries; Manufacturing processes; Product design; Product development; Virtual manufacturing; Business performance; Knowledge sharing; New product development;
Conference_Titel :
Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-4869-2
Electronic_ISBN :
978-1-4244-4870-8
DOI :
10.1109/IEEM.2009.5373423