Abstract
The paper is to reveal the effects of the knowledge management (KM) process motivated by reward systems on new product development (NPD) performance. Based on key concepts in NPD, KM, and reward systems, the study first proposed a theoretical framework and then conducted a quantitative analysis by structural equation modeling (SEM), using data from a sample of 120 innovative firms in 3 Chinese cities. The study found most of the hypotheses supported. Knowledge innovation had a positive impact on NPD performance. In KM system, the acquisition of knowledge had a strong positive association with knowledge integration. Moreover, higher level of organizational reward system could bring higher level of knowledge acquisition and innovation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Chang, S.G., Ahn, J.H.: Product and Process Knowledge in the Performance-Oriented Knowledge Management Approach. Journal of Knowledge Management 9(4), 114–132 (2005)
Gross, S.E., Friedman, H.M.: Creating an Effective Total Reward Strategy: Holistic Approach Better Support. Benefits Quarterly 20(3), 7–12 (2004)
Jaworski, B.J., Kohli, A.K.: Market Orientation: Antecedents and Consequences. Journal of Marketing 57(3), 53–70 (1993)
Lee, C.C., Yang, J.: Knowledge Value Chain. Journal of Management Development 19(9), 783–793 (2000)
Moorman, C.: Organizational Market Information Processes: Cultural Antecedents and New Product Outcomes. Journal of Marketing Research 32(3), 318–336 (1995)
Nahapiet, J., Ghoshal, S.: Social Capital, Intellectual Capital and the Organizational Advantage. Academy of Management Review 23(2), 242–266 (1998)
Nonaka, I.: A Dynamic Theory of Organizational Knowledge Creation. Organization Science 5(1), 14–38 (1994)
Nonaka, I., Takeuchi, H.: The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation. Oxford University Press, New York (1995)
Norman, P.M.: Protecting Knowledge in Strategic Alliances: Resource and Relational Characteristics. Journal of High Technology Management Research 13(4), 177–202 (2002)
Sarin, S., Mahajan, V.: The Effect of Reward Structures on the Performance of Cross-Functional Product Development Teams. Journal of Marketing 65(2), 35–53 (2001)
Sirvastava, M.K., Gnyawali, D.R.: When Do Relational Resources Matter? Leveraging Portfolio Technological Resources for Breakthrough Innovation. Academy of Management Journal 54(4), 797–810 (2011)
Staples, D.S., Greenaway, K., Mckeen, J.D.: Opportunities for Research About Managing the Knowledge-Based Enterprise. International Journal of Management Reviews 3(1), 1–20 (2001)
Tampoe, M.: Motivating Knowledge Workers: The Challenge for the 1990s. Long Range Planning 26(3), 49–55 (1993)
Wallin, M.W., Krogh, G.V.: Organizing for Open Innovation: Focus on the Integration of Knowledge. Organizational Dynamics 39(2), 145–154 (2010)
Yang, J.: Knowledge Integration and Innovation: Securing New Product Advantage in High Technology Industry. Journal of High Technology Management Research 16(1), 121–135 (2005)
Yang, J., Rui, M.: Turning Knowledge Into New Product Creativity: An Empirical Study. Industrial Management & Data Systems 109(9), 1197–1210 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lei, S., Ma, W. (2013). Motivation to Innovation - The Driving Force of Reward-Based Organizational Knowledge Management for New Product Development Performance. In: Wang, M. (eds) Knowledge Science, Engineering and Management. KSEM 2013. Lecture Notes in Computer Science(), vol 8041. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39787-5_15
Download citation
DOI: https://doi.org/10.1007/978-3-642-39787-5_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39786-8
Online ISBN: 978-3-642-39787-5
eBook Packages: Computer ScienceComputer Science (R0)