| In the process of social and historical development,disruptive technology has always been a revolutionary force for social changes ~1 and social productivity development.The emergence of improved steam engines and Jenny textile machines promoted the first industrial revolution and brought human society from an agricultural society to an industrial society.When gasoline engines and electricity emerged,the second industrial revolution occurred in human society.Productivity and human civilization developed at a high speed;in the 1960s,the development of computer technology and information technology caused a third revolution in human society,which caused earth-shaking changes in our society.We entered the information age.The emergence of disruptive technology can not only change the way people live and work,but also enable us to enjoy the convenience and dividends it brings to our society.In recent years,with the rapid development of high-tech and industrial structure reform,major disruptive technologies have emerged continuously,which has promoted the emergence of new formats,new products and new demands,and affected the adjustment of economic structure and industrial form.And it is increasingly becoming a key factor driving social and economic development and improving national competitiveness.As the artificial intelligence disruptive technology studied in this paper,when the traffic of the Internet has disappeared and the opportunities of Internet+are very limited,artificial intelligence disruptive technology based on deep learning will become a subversive technology that can truly improve social productivity and solve the imbalance between supply and demand.For example,the gradual application of artificial intelligence disruptive technology based on deep learning in medical health,intelligent security,finance,manufacturing and other industries is changing the traditional industrial pattern and people’s life mode.In the context of supply-side structural reform,disruptive technology,as a new innovation,will have a significant impact on market structure,demand characteristics,cultural innovation and social change.However,because of its innovation and foresight,disruptive technology often needs to go through a certain development process to be finally accepted by the society,further applied and developed,and finally commercialized.For example,the digital photography technology subverts the traditional film enterprises,the new energy vehicle technology subverts the traditional automobile technology,and the sharing economy subverts the traditional economy.Its commercialization process has taken at least several years to finally realize.In the process of commercialization of disruptive technology,the awareness,acceptance,application,commercialization strategy of stakeholders in the whole industrial chain and the impact of the external environment on the technology itself and application will greatly affect the commercialization process of disruptive technology.This paper takes the commercialization of AI disruptive technology based on deep learning as the research object,and focuses on the two important stages of commercialization,namely product R&D and market entry,through two completely different perspectives.On the one hand,in the product R&D stage,the acceptance of AI disruptive technology is studied from the perspective of users,especially individual consumers,and an acceptance hypothesis model aitam of AI disruptive technology is obtained.Through empirical analysis based on structural equation,the influencing factors affecting the acceptance of AI disruptive technology are determined and verified,Revise the hypothetical model and obtain the final theoretical model,analyze and summarize the main factors that promote and hinder users from accepting AI disruptive technology for in-depth learning,and put forward corresponding suggestions and measures to guide enterprises to implement correct and reasonable R&D strategies in the product R&D stage of commercialization of disruptive technology;On the other hand,in the market entry stage of the commercialization of disruptive technology,this paper studies the commercialization strategy selection of AI disruptive technology with deep learning from the perspective of enterprises,analyzes the main factors affecting the commercialization strategy of disruptive technology,and obtains a commercialization strategy selection model of AI disruptive technology,The corresponding three-level evaluation index system is established for the application of the theoretical model.Enterprises can obtain the commercialization strategy option by calculating the intuitive fuzzy number evaluation value of internal and external evaluation indexes.Then,the effectiveness and reliability of the model are verified through empirical analysis and case study.This paper combines multi-disciplinary research methods such as psychology,behavioral science,management and statistics.Guided by the user’s acceptance of AI disruptive technology and the formulation of the enterprise’s AI disruptive technology commercialization strategy,this paper integrates the seemingly two independent fields at a deep level,Solve the common scientific problems in the two fields of behavioral science and strategic management,that is,how to quickly and successfully commercialize the disruptive technology of artificial intelligence.The research results obtained in this paper mainly include the following aspects:1.When studying AI disruptive technology acceptance from the perspective of users,based on the technology acceptance model(TAM),this paper integrates the theories of rational behavior theory(TRA),innovation diffusion theory(IDT)and perceived risk theory(PRT),constructs an AI technology acceptance model based on deep learning(aitam),and discusses the results of empirical analysis and research,Put forward corresponding measures and suggestions to solve the obstacles of AI disruptive technology in product R&D stage.The model comprehensively considers the influencing factors of psychology,risk,code of conduct and other fields on the acceptance of AI disruptive technology,comprehensively and reasonably explains the influencing factors of user acceptance in the product R&D stage of the technology in the commercialization process,and fills the gap of theoretical research.2.When studying the commercialization strategy choice of AI disruptive technology from the perspective of enterprises,firstly,according to a large number of literature research work,this paper constructs a two-dimensional subversive technology commercialization strategy choice model with the enterprise’s internal comprehensive ability as the horizontal axis and the external environment uncertainty as the vertical axis,and puts forward the technology licensing strategy,horizontal platform cooperation strategy Vertical platform cooperation strategy and business competition strategy are four optional commercialization strategies,and the coverage areas of the four strategies are given on the two-dimensional plane.The application of the model adopts the analysis method based on intuitionistic fuzzy number evaluation.Firstly,a three-level evaluation index system composed of 25 evaluation indexes is innovatively established,the independence and rationality of the indexes are verified by empirical data,and the corresponding scale is designed;Then,on the basis of this evaluation index,the intuitionistic fuzzy number evaluation method is used to calculate and study the comprehensive evaluation value of the enterprise’s internal comprehensive ability and the uncertainty of the external environment.According to these two values,the position of the enterprise’s commercialization strategy selection point in the theoretical model can be determined,and the commercialization strategy options that the enterprise should adopt under the current conditions can be obtained.3.In order to verify the effectiveness and reliability of the commercialization strategy selection model of AI disruptive technology based on deep learning,this paper adopts the method of qualitative case study.This paper selects seven representative enterprises with AI technology based on deep learning,such as Sichuan University Zhisheng,Hikvision,Dahua shares and Gehua network,as the research object,Through in-depth interviews with executives,field research and data mining of data of listed companies,this paper obtains the actual commercialization strategy adopted by enterprises for the artificial intelligence subversive technology of in-depth learning,and makes a score analysis with the results calculated by the theoretical model in this paper.The comparison results show that the theoretical model in this study is effective and reliable.4.According to the two theoretical models and relevant research results,this paper finally puts forward relevant suggestions and measures in the product development stage according to the user’s acceptance of AI disruptive technology,In the market entry and development stage,it puts forward some targeted suggestions and measures for the relevant commercialization strategy choice of enterprises and the formulation of relevant policies,regulations and industrial regulations by the government,in order to make a certain contribution to the rapid commercialization of artificial intelligence disruptive technology. |
