Applying Grey Relational Analysis to Evaluate the Factors Affecting Innovation Capability: Evidence from Chinese High-Tech Industries

Wuwei LI

Abstract


For the studies on the innovation capability, there are many limitations in using traditional statistical techniques. The grey system theory proposed in this paper is to supplement the limitations of using traditional techniques and it is more suitable to figure out the significance of influencing factors for facilitating innovation capability. Based on the statistical data from Chinese high-tech industries, over the period 2006-2008, this paper used fifteen indicators affecting the innovation capability, and it applied grey relational analysis to find out the significant factors. The results show that expenditure and persons engaged in science and technology activities are the significant factors affecting innovation capability within Chinese high-tech industries, and the efficiency for input-output of resources is less significant factor, which implies that the efficiency for input-output within Chinese high-tech industries is lower, and its effect to facilitate Chinese high-tech industrial innovation capability is insignificant. In order to facilitate Chinese high-tech industrial innovation capability, the government and enterprises should pay enough attentions to not only the expenditure and personnel engaged in science and technology activities, but also enhancing the efficiency for input-output of technology resources.
Key words: Innovation capability; Grey relational analysis; Chinese high-tech industries

Résumé: Pour les études sur la capacité d'innovation, il ya beaucoup de limitations dans l'utilisation de techniques statistiques traditionnelles. La théorie des systèmes de gris proposées dans ce document est de compléter les limites de l'utilisation des techniques traditionnelles et il est plus approprié pour comprendre l'importance de facteurs d'influence pour faciliter la capacité d'innovation. Basé sur les données statistiques du chinois industries de haute technologie, sur la période 2006-2008, ce papier utilisé quinze indicateurs affectant la capacité d'innovation, et l'a appliqué l'analyse relationnelle grise pour découvrir les facteurs significatifs. Les résultats montrent que les dépenses et les personnes engagées dans des activités scientifiques et technologiques sont des facteurs importants qui affectent la capacité d'innovation au sein chinoise industries de haute technologie, et l'efficacité pour les entrées-sorties de ressources est un facteur moins important, ce qui implique que l'efficacité d'entrées-sorties au sein chinoise industries de haute technologie est plus faible, et son effet de faciliter chinoises de haute technologie capacité d'innovation industrielle est insignifiante. Afin de faciliter chinoises de haute technologie capacité d'innovation industrielle, le gouvernement et les entreprises devraient payer des attentions assez pour non seulement les dépenses et le personnel engagé dans les activités scientifiques et technologiques, mais aussi améliorer l'efficacité des entrées-sorties de ressources technologiques.
Mots clés: La capacité d'innovation; Gris analyse relationnelle; De la haute technologie de l’industrie chinoise

Keywords


Innovation capability; Grey relational analysis; Chinese high-tech industries;Innovation capability; Grey relational analysis; Chinese high-tech industries

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References


DENG J. L. (1989). The Introduction of Grey System. Journal of Grey System, 1(1), 1-24.

Felix T. CHAN S., CHUNG S. H. (2005). Multi Criterion Genetic Optimization for due Date Assigned Distribution Network Problems. Decision Support Systems, 39(4), 661-675.

Hsia K. H., CHEN M.Y., CHANG M.C. (2004). Comments on Data Preprocessing for Grey Relational Analysis. Journal of Grey System, 7(1), 15-20.

KUNG C. Y., CHENG C. R. (2004). Grey Assessing the Performance of Enterprise Outsourcing Management. Journal of Grey System, 16(1), 63-72.

LIU X. H. , Buck T. (2007). Innovation Performance and Technological Spillovers: Evidence from Chinese High-tech Industries. Reaearch Policy, 36(2), 355-366.

LI W. W. (2009). Research on Efficiency of Technological Innovation in Chinese Industry. Proceedings of Pacific-Asia Conference on Web Mining and Web-based Application, China.

LIN C.T., HSU P. F. (2001). Selection of Advertising Agencies Using Grey Relational Analysis and Analytic Hierarchy Process. Journal of International Marketing and Marketing Research, 26(3), 115-128.

LIN C. T., YANG S. Y. (1999). Selection of Home Mortgage Loans Using Grey Relational Analysis. Journal of Grey System, 11(4), 359-368.

XIA W. (2005). The Evaluation and Application Research about Technological Innovation Capability. R&D Management, 17(5), 50-55.

TU Y. C., LIN C.T., FANG M.W. (2001). Application of Grey Relational Analysis to Evaluating Shopping Mall Projects in Taiwan. Journal of Grey System, 13(4), 68-77.




DOI: http://dx.doi.org/10.3968%2Fj.css.1923669720110703.019

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