The Research of the Innovation Performance Evaluation System for Enterprises in Internet and Communication Industrial Clusters

The Research of the Innovation Performance Evaluation System for Enterprises in Internet and Communication Industrial Clusters

Yingsi Zhao (School of Economics and Management, Beijing Jiaotong University, Beijing, China), Yanping Liu (School of Economics and Management, Beijing Jiaotong University, Beijing, China,), Qing-An Zeng (Department of Computer Systems Technology, North Carolina A&T State University, Greensboro, NC, USA) and Yang Zhao (School of Economics and Management, Beijing Jiaotong University, Beijing, China)
DOI: 10.4018/ijitn.2014070101

Abstract

This paper focuses on the evaluation system and algorithm for Enterprises' innovation performance in Internet and Communication industrial clusters. An Individual enterprise innovation performance system is developed based on network techniques. The functional model and constructing structure of the evaluation system are firstly illustrated. With the applying of Analytic Hierarchy Process Fuzzy (AHP-Fuzzy) method and the construction of the index system, the system realizes the innovation performance evaluation for enterprises of Internet and communication industrial clusters. The operation of the evaluation system achieves a real-time and effective result, which is significant for realistic innovation evaluation.
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Review Of Literature

Innovative performance has always been one of the hot topics in the fields of management and economics. In the 1980s, CIS developed the famous Oslo Manual jointly with OECD, which aims to promote the establishment of innovative performance index system. The manual involves two important indices, the ratio of sales revenue of innovative products to total sales revenue, the enterprise’s product sales revenue in each stage of the product’s life circle, and its revised version was released in 1996. Drucker (1993) proposed that innovative performance combines all innovative factors at the enterprise level. Mcgtegart (2000) gave the content to innovative performance at the state level. Roberto Badile and Poti (2000) narrowed the research scope to consider the perspective of region. Shan (2002) proposed that innovative performance comprises various first-grade indices, including economic benefits and social index. Hagedoom and Cloodt (2003) measured the innovative performances of over 1200 enterprises in four high and new technology industries in America, and the indices covered the input of R&D (input), the number of patents, output of new products, and the number of cited patents (output).

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