Translated Title
The Behavior of Patent Assignors and Assignees Based on the Network Effect and the Actor Effect
Translated Abstract
As the conversion rate of scientific and technological achievements is less than 30%,technology transaction is re-garded as the link between invention and application.It is not only the main channel of technological innovation diffusion,but also an effective way to make the transformation of scientific and technological achievements into practice.This paper focuses on the behavior of patent assignors and assignees,and it aims to analyze the characteristics of transactions,identi-fy the main factors affecting patent transaction,and provide a scientific basis for the government to formulate policies as well as promote technology transactions.
At present,the study of patent technology transaction and its behavior has become the focus of attention,but the re-search is fragmented between the network structure and the attributes of the actors themselves:research on technology transaction networks mainly focuses on the analysis of the factors and evolution characteristics which affect the field of technology transactions at the overall network level.It ignores the influence of the attributes of the network nodes on the evolution of the network.In addition studies on the behavior of patent assignors and assignees are mostly based on case a-nalysis which is greatly influenced by objective factors.
The integrated circuit industry is a core and representative industry for the intelligent transformation of manufacturing and is most affected by the U.S.constraints in China in the post-epidemic period.To settle this conflict,this paper begins with the theoretical foundation and divides the factors affecting technology transaction behavior into two dimensions:the network effect and the actor effect.Therefore it proposes the research hypotheses in terms of three dimensions:structural characteristics of the network,actors'own attributes and inter-actor convergence.Then,the paper describes the data sources and processing methods,the research method stochastic actor-oriented model(Siena)and the variable measures.Subsequently,using the patent transfer data of the IC industry from 2002 to 2019,the study analyzes the overall trends and characteristics of patent technology transactions in this industry statistically and divides the industry stages.On this basis,it builds the patent technology transaction network of this industry to measure the characteristics of patent technolo-gy transactions in this industry from two aspects:quantity change and network evolution.Meanwhile,combined with re-search hypotheses,an empirical study of patent technology trading behavior based on the Siena model is conducted to ana-lyze the characteristics of technology transaction behavior.
The main findings are as follows.First,in terms of the technological transaction network evolution,the patent tech-nology transaction is mainly in a one-way mode.With the integrated circuit industry entering to the stage of growth,the number of technology transaction entities within the industry increases and the network scale increases.The efficiency of information transmission in the network has been improved,however it is still at a low level;the lock-in effect formed at the initial stage of the network is obviously relieved;the organization in the network is characterized by community,and the scale of community is expanding while the degree is increasing.Second,in terms of the stability of patent technology transaction network,the patent technology transaction network of integrated circuit industry is unstable and has a large variation.Third,in terms of network effect,assignors are more inclined to trade with partners of technology trading part-ners;as the assignees,firms will attract more new technology trading partners;there is no obvious reciprocal transaction between firms.Fourth,in terms of actor effect,as the industry enters the growth stage,mature firms are more likely to be patent assignors,and start-up firms are more likely to be patent assignees,and firms in the high structural hole posi-tion are more likely to be patent assignors;the smaller gap in technological innovation capabilities,the more likely tech-nology transactions will occur between firms;firms tend to choose partners in the same country or in the same enterprise group for patent transaction.The research results have enriched the theoretical system and application scope of social net-work analysis in the field of patent technology trading,and enables scholars to analyze the factors influencing the transfor-mation of scientific and technological achievements further.Meanwhile,it provides novel insights for the government to formulate industrial policies.
Translated Keyword
Network Effect
Technology Transaction
Transformation of Scientific and Technological Achievements
Patent Assignment
Patent Transfer
Actor Effect
Access Number
WF:perioarticalkjjbydc202402005
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