Dynamic Credibility Evaluation on High-tech Enterprise Partners in Knowledge Collaboration Using a SPA-Markov Model
Yinqi Li 1, Yi Su 1 *
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1 School of Economics and Management, Harbin Engineering University, Harbin, CHINA* Corresponding Author

This article belongs to the special issue "Problems of Application Analysis in Knowledge Management and Science-Mathematics-Education".


An evaluation on high-tech enterprise research and development (R&D) is of great necessity for boosting innovative economy and high-tech industry in the era of knowledge economy. However, high-tech enterprises cannot fully understand their partners’ R&D capabilities and cooperative tendencies due to information asymmetry. Driven by interest, opportunistic behaviors might emerge, reducing trust and affecting efficient R&D cooperation. To explore R&D partners’ credibility and avoid opportunistic behaviors, this study establishes an evaluation index system on the credibility of high-tech enterprise partners based on literature extraction and law relationship. The SPA-Markov Model has been adopted to dynamically evaluate the credibility in knowledge collaboration. Finally, HS, the China FAW Tooling Die Manufacturing’s partner, is case-studied to verify feasibility of the model. The results are as follows: (1) Social environment, partner competence, partnership and collaborative potential are key indexes measuring partner credibility. (2) The SPA-Model Model could figure out changes and trends of the credibility. (3) The credibility of high-tech enterprise partners might fluctuate in collaboration. According to the study, the SPA-Model Model is feasible for assessing the credibility, which makes up for static evaluation and provides novel ideas on evaluation and optimization of high-tech enterprise partners.


This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

EURASIA J Math Sci Tech Ed, 2017, Volume 13, Issue 12, 8213-8225


Publication date: 24 Nov 2017

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Article Downloads: 549

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