Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/74510
Title: Cluster-based performance measurement system for emerging technology-based ventures
Authors: Ng, AW 
Wang, WM 
Cheung, BCF 
Ma, R
Or, YY 
Keywords: Performance measurement system
R&D
Resource allocation
Technology clusters
Technology-based ventures
Issue Date: 2017
Publisher: InterScience
Source: International journal of entrepreneurship and innovation management, 2017, v. 21, no. 6, p. 485-508 How to cite?
Journal: International journal of entrepreneurship and innovation management 
Abstract: Performance assessment of technology-based ventures requires consideration of the nature of their businesses and the dynamics of their emerging industries. This paper explores the development of a cluster-based and quantitative measurement system for science and technology parks to evaluate the performance of technology-based ventures. The proposed method incorporates technique for order preference by similarity to ideal solution (TOPSIS) and weight allocation. It ranks the technology-based ventures in different technological clusters, based on a range of indicators pertinent to productivity, research and development (R&D) effort, R&D personnel percentage, time to market and financial performance. This method has been implemented through a trial study conducted within the Hong Kong Science and Technology Parks Corporation. The results indicate that R&D spending has a strong impact on a company's performance ranking. The performance of technology-based ventures should be measured with respect to their R&D investments and their pertinent efforts to commercialise products. Copyright
URI: http://hdl.handle.net/10397/74510
ISSN: 1368-275X
DOI: 10.1504/IJEIM.2017.086939
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