Research on Knowledge Transfer Influencing Factors in Software Process Improvement

Jiangping Wan, Qingjing Liu, Dejie Li, Hongbo Xu
DOI: 10.4236/jsea.2010.32017                

Abstract

Knowledge transfer model of software process improvement (SPI) and the conceptual framework of influencing factors are established. The model includes five elements which are knowledge of transfer, sources of knowledge, recipients of knowledge, relationship of transfer parties, and the environment of transfer. The conceptual framework includes ten key factors which are ambiguity, systematism, transfer willingness, capacity of impartation, capacity of absorption, incen-tive mechanism, culture, technical support, trust and knowledge distance. The research hypothesis is put forward. Em-pirical study concludes that the trust relationship among SPI staffs has the greatest influence on knowledge transfer, and organizational incentive mechanism can produce positive effect to knowledge transfer of SPI. Finally, some sug-gestions are put forward to improve the knowledge transfer of SPI: establishing a rational incentive mechanism, exe-cuting some necessary training to transfer parties and using software benchmarking.

Keywords

Software Process Improvement, Knowledge Transfer, Influence Factors, Pattern

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	W. S. Humphrey, “Managing the software process,” Reading, Addison-Wesley, MA, 1989.
[2]	Alfonso Fuggetta, “Software process: A roadmap,” Pro-ceedings of the Conference on The Future of Software Engineering, Limerick, Ireland, pp. 25–34, June 04–11, 2000.
[3]	J. P. Wan and J. M. Yang, “Knowledge management in SPI,” Application Research of Computer, Vol. 19, No. 5, pp. 1–3, 2002.
[4]	M. Blanco, P. Gutiérrez, and G. Satriani, “SPI patterns: Learning from experience,” IEEE Software, Vol. 18, No. 3, pp. 28–35, 2001.
[5]	I. Nonaka and G.g von Krogh, “Perspective-tacit knowl-edge and knowledge conversion: Controversy and ad-vancement in organizational knowledge creation theory,” Organization Science, Vol. 20, No. 3, pp. 635–652, 2009.
[6]	J. P. Wan, “Research on software product support struc-ture,” Journal of Software Engineering and Applications, Vol. 2, No. 3, pp. 174–194, 2009.
[7]	S. A. Slaughter and L. J. Kirsch, “The effectiveness of knowledge transfer portfolios in SPI: A field study,” In-formation Systems Research, September 2006.
[8]	X. G. Zhang, “Research on knowledge management technology in SPI,” Chinese Academy of Sciences Doc-toral Thesis, 2004.
[9]	J. M. Bloodgood and W. D. Salisbury, “Understanding the influence of organizational change strategies on in-formation technology and knowledge management strate-gies,” Decision Support Systems, Vol. 31, No. 1, pp. 55–69, 2001.
[10]	L. Argote, “Organizational learning: Creating, retaining and transfering knowledge,” Kluwer Academic Publishers, pp. 143–189, 1999.
[11]	T. H. Davenport and L. Prusak, “Working knowledge: How organization manage what they know,” Harvard Business School Press, Boston, 1998.
[12]	G. Szulanzki, “Exploring internal stickiness: Impediments to the transfer of best practice with the firm,” Strategic Management Journal, Vol. 17, pp. 27–43, 1996.
[13]	L. Argote and P. Ingram, “Knowledge transfer: A basis for competitive advantage in firms,” Organizational Be-havior and Human Decision Processes, Vol. 82, No. 1, pp. 150–169, 2000.
[14]	D.-G. Ko, L. J. Kirsch, and W. R. King, “Antecedents of knowledge transfer from consultants to clients in enter-prise system implementations,” Management Information System Quarterly (Special Issue), Vol. 29, No. 1, pp. 59– 85, 2005.
[15]	I. Nonaka and H. Takeuchi, “The knowledge creating company,” Oxford University Press, New York, 1995.
[16]	M. Gilbert and M. Cordey-Hayes, “Understanding the process of knowledge transfer to achieve successful technological innovation,” Technovation, Vol. 16, pp. 301–312, 1996.
[17]	J. L. Cummings and B. S. Teng, “Transferring R & D knowledge: The key factors affecting knowledge transfer success,” Journal of Engineering and Technology Man-agement, Vol. 20, pp. 39–68, 2003.
[18]	M. Polanyi, “The study of man,” Routledge & Kegan, London, Vol. 12, 1957.
[19]	G. C. Thomas and H. R. Smith, “Using structured bench- marking to fast-track CMM process improvement,” IEEE Software, Vol. 18, No. 5, pp. 48–52, 2001.
[20]	P. Bourque, R. Dupuis, A. Abran, J.W. Moore, and L. Tripp, “The guide to the software engineering body of knowledge,” IEEE Software, Vol. 16, No. 6, pp. 35–44, 1999.