Abstract
This paper mainly demonstrates how to make the optimal choice on selecting enterprise’s knowledge partner with BP neural network. In the paper, firstly, based on the literature review, it established the evaluating system of knowledge partner selection based on BP neural network. Secondly, the paper gave an evaluation model of BP neural network and used an example to analyze. The model does not only enhance the scientific nature of knowledge partner evaluation, but also provides the policy-making support for the enterprise.
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References
Li, S., Zhou, G., et al.: Knowledge Management in Research Institutions. Economic Science Press, Beijing (2005)
Lyles, M.A., Salk, J.E.: Knowledge acquisition from foreign parents in international joint ventures: An empirical examination in the Hungarian context. Journal of International Business Studies 27(5), 877–904 (1996)
Hajidimitriou, Y.A., Georgiou, A.C.: A goal programming model for partner selection decisions in international joint ventures. European Journal of Operational Research (138), 649–662 (2002)
Hansen, M. T.: The search-transfer problem: The role of weak ties in sharing knowledge across organization subunits. Administrative Science Quarterly 44(1), 82–112 (1999)
Huang, H.-C., Chang, C.-W.: Embedded ties and the acquisition of competitive advantage. Journal of Intellectual Capital 9(1), 105 (2008)
Lin, L., Wang, Y.: Knowledge alliance partner selection model and its application based on fuzzy theory. Science & Technology Progress and Policy 24(8), 162–164 (2007)
Huang, R., Qi, H., Peng, X.: Selecting IP Sharing Partner Based on Co-innovation. Science of Science and Management of S (11), 24–28 (2004)
Ring, P.S., Van De Ven Anerewh, H.: Developmental processes of cooperative interorganizational relationships. Academy of Management 19(1), 90–119 (1994)
Pegram, R.: Selecting and evaluating distributors. National Industrial Conference Board, New York (1965)
Brouthers, K.D., Brouthers, L.E., Wilkinson, T.J.: Strategic alliances: Choose your partners. Managing Joint Venture 28(3), 18–25 (1995)
Rese, M.: How to select the right partners, Successful and sustainable business partnerships. Industrial Marketing Management (35), 72–82 (2006)
Hau, L.N., Evangelista, F.: Acquiring tacit and explicit marketing knowledge from foreign partners in IJVs. Journal of Business Research 60(11), 1152–1165 (2007)
Ossadnik, W.: AHP-based synergy allocation to partners in a merger. European Journal of Operational Research (88), 42–49 (1996)
Xiao, H., Yuan, Q.: Indices System Construction for Appraising Partners of Knowledge Alliance Based on Delphi Method Sci-Technology. Sci-Technology and Management (5), 20–22 (2007)
Wu, S., Gu, X.: Research on Relation Ties of Knowledge Chain’s Inter-firm Cooperation. Science of Science and Management of S.&T. (2), 113–118 (2008)
Xiao, Y., Gu, X.: Research on Selection Method of Knowledge Chain Partner. Science & Technology Progress and Policy 24(8), 179–181 (2007)
Liu, Q., Chen, Q., Wei, S.: The model for partner-selecting of knowledge alliances based on multi-hierarchal grey correlative degree. J. Huazhong University of Science & Technology (Nature Science Edition) 32(7), 54–56 (2004)
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Zhang, W., Cheng, Y. (2011). Research on Knowledge Partner of the Enterprise Selection and Evaluation with BP Neural Network. In: Wu, Y. (eds) Computing and Intelligent Systems. ICCIC 2011. Communications in Computer and Information Science, vol 233. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24010-2_10
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DOI: https://doi.org/10.1007/978-3-642-24010-2_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24009-6
Online ISBN: 978-3-642-24010-2
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