Abstract
The choice of open innovation alliance has a significant impact on avoiding potential design risk. In order to reduce the enterprise design risk, an evaluation index system of innovation capability, including design risk, is constructed by considering the aspects of design risk identification, risk response, and risk monitoring. Then, a design risk evaluation method based on the prospect theory and fuzzy TOPSIS method is proposed. Combined with the prospect theory, the influences of three different risk attitudes (risk-taking, intermediate, and conservative) on design decisions are analyzed. Finally, the evaluation system and method are applied to the design evaluation of digital welding power source, and its feasibility is verified by a numerical example. The results show that the conservative risk attitude is consistent with the closeness evaluation results, and the intermediate risk attitude is consistent with the risk-taking attitude evaluation results. Introducing the psychological risk factors of the subject into the design decision-making behavior can help enterprises to choose the innovation alliance, which is more in line with the actual needs and reduces the innovation risk to the greatest extent. The index system and evaluation method established in this paper can provide theoretical reference for enterprise design risk analysis.
Highlights
With the development of science and technology, the interdisciplinary application of multi-fields and disciplines is promoted, and individual enterprises are limited by their own scale and resource allocation
Considering the different preferences of decision-makers to risk attitudes, the fuzzy decision matrix is transformed into the prospect value matrix by using TOPSIS method based on prospect theory and fuzzy sets. e relative closeness degree is replaced by the calculated revenue loss ratio, the advantages and disadvantages of alternative schemes are ranked and verified with the example, and the resistance ability and strain ability of different types of innovation alliances to innovation risks are evaluated
When the risk attitude of enterprises is considered as risk-taking and intermediate, the ranking result is A > C > D > B. erefore, the results show that choosing enterprise A as the innovation alliance has the best RD efficiency, which can make the best use of the advantages of both sides to promote the industrialization of open innovation achievements
Summary
With the development of science and technology, the interdisciplinary application of multi-fields and disciplines is promoted, and individual enterprises are limited by their own scale and resource allocation In innovation activities, they tend to seek the sharing of resources and knowledge from external resources (universities, scientific research institutions, or other enterprises), and take open innovation as the main way to improve the success rate of innovation, reduce the risk of innovation, and shorten the innovation cycle. E essence of open innovation, first proposed by Chesbrough [1], is to encourage enterprises to seek creative ideas internally and externally at the same time and to commercialize them successfully It has become a popular trend of collaborative design to choose a suitable design team and outsource all or part of product design, marketing operation, print or film advertising work to professional design teams in order to reduce costs and improve efficiency. Considering the different preferences of decision-makers to risk attitudes, the fuzzy decision matrix is transformed into the prospect value matrix by using TOPSIS method based on prospect theory and fuzzy sets. e relative closeness degree is replaced by the calculated revenue loss ratio, the advantages and disadvantages of alternative schemes are ranked and verified with the example, and the resistance ability and strain ability of different types of innovation alliances to innovation risks are evaluated
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