Purpose:The transformative impact of disruptive technologies on the restructuring of the times has attracted widespread global attention.This study aims to analyze the characteristics and shortcomings of China’s arti...Purpose:The transformative impact of disruptive technologies on the restructuring of the times has attracted widespread global attention.This study aims to analyze the characteristics and shortcomings of China’s artificial intelligence(AI)disruptive technology policy,and to put forward suggestions for optimizing China’s AI disruptive technology policy.Design/methodology/approach:Develop a three-dimensional analytical framework for“policy tools-policy actors-policy themes”and apply policy tools,social network analysis,and LDA topic model to conduct a comprehensive analysis of the utilization of policy tools,cooperative relationships among policy actors,and the trends in policy theme settings within China’s innovative AI technology policy.Findings:We find that the collaborative relationship among the policy actors of AI disruptive technology in China is insufficiently close.Marginal subjects exhibit low participation in the cooperation network and overly rely on central subjects,forming a“center-periphery”network structure.Policy tool usage is predominantly focused on supply and environmental types,with a severe inadequacy in demand-side policy tool utilization.Policy themes are diverse,encompassing topics such as“Intelligent Services”“Talent Cultivation”“Information Security”and“Technological Innovation”,which will remain focal points.Under the themes of“Intelligent Services”and“Intelligent Governance”,policy tool usage is relatively balanced,with close collaboration among policy entities.However,the theme of“AI Theoretical System”lacks a comprehensive understanding of tool usage and necessitates enhanced cooperation with other policy entities.Research limitations:The data sources and experimental scope are subject to certain limitations,potentially introducing biases and imperfections into the research results,necessitating further validation and refinement.Practical implications:The study introduces a three-dimensional analysis framework for disruptive technology policy texts,which is significant for formulating and enhancing disruptive technology policies.Originality/value:This study utilizes text mining and content analysis techniques to quantitatively analyze disruptive technology policy texts.It systematically evaluates China’s AI policies quantitatively,focusing on policy tools,policy actors,policy themes.The study uncovers the characteristics and deficiencies of current AI policies,offering recommendations for formulating and enhancing disruptive technology policies.展开更多
Space is a high-tech field integrating materials, electronic information, manufacture, energy, medicine ana other disciplines. A number of disruptive technologies in various fields will have an important influence in ...Space is a high-tech field integrating materials, electronic information, manufacture, energy, medicine ana other disciplines. A number of disruptive technologies in various fields will have an important influence in areas such as space industry, scientific research on space and even military space. This article focuses on disruptive technologies exerting enormous influence in the space field based on the qualitative and quantitative research of disruptive technolo- gies. The research and application for disruptive space technology is expected to greatly improve the emciency of space system, significantly reducing research cost, and to promote a great improvement of space technology level,展开更多
Social media is a platform in which user can create,share and exchange the knowledge/information.Social media marketing is to identify the different consumer’s demands and engages them to create marketing resources.T...Social media is a platform in which user can create,share and exchange the knowledge/information.Social media marketing is to identify the different consumer’s demands and engages them to create marketing resources.The popular social media platforms are Microsoft,Snapchat,Amazon,Flipkart,Google,eBay,Instagram,Facebook,Pin interest,and Twitter.The main aim of social media marketing deals with various business partners and build good relationship with millions of customers by satisfying their needs.Disruptive technology is replacing old approaches in the social media marketing to new technology-based marketing.However,this disruptive technology creates some issues like fake news,insecure,inconsistency,inaccuracy and so on.These issues contribute economic instability in the society,diminishing the level of trustworthy.To overcome these issues,this paper we present blockchain as disruptive technology for social media marketing.Blockchain plays a vital role on social media marketing by providing secure to the company page in the website.The properties of disruptive potential of blockchain on social media marketing is transparency,security,reliability and immutability.This paper presents a new framework for disruptive technology in blockchain social media marketing using fusion of CryptoNight mining algorithm with YAC consensus algorithm[BCDSMM-CNYAC].This mining algorithm provides high CPU efficiency,high dimensionality of secure and detecting falsifying data attack in the social media marketing.For the data analysis we proposed ANOVA analysis method regarding to the factors of age,time,frequency visiting times of social media platform.For reliability analysis of data Cronbach’s alpha tests are implemented.展开更多
Disruptive technologies provide a new paradigm for supply chain risk management and bring opportunities and challenges for the improvement of supply chain resilience(SCRes).This study summarizes the application cases ...Disruptive technologies provide a new paradigm for supply chain risk management and bring opportunities and challenges for the improvement of supply chain resilience(SCRes).This study summarizes the application cases of some disruptive technologies in the SCRes and analyzes the benefits and damages brought by disruptive technologies to the SCRes.The results show that disruptive technologies can provide the supply chain with flexibility,visibility,agility,and other capabilities at various stages of risk management.Hence,technology advancements greatly increase the level of the SCRes.Although disruptive technologies undermine the construction of SCRes,these damages can be eliminated through technology iteration or other disruptive technologies.Furthermore,disruptive technologies will provide better stability for the SCRes.The study also makes several suggestions for the use of disruptive technologies in the construction of the SCRes.展开更多
In the Industry 4.0 era,disruptive technologies such as big data analytics,blockchain,Internet-of-Things,and additive manufacturing have become major forces driving supply chain transformation.Under such circumstances...In the Industry 4.0 era,disruptive technologies such as big data analytics,blockchain,Internet-of-Things,and additive manufacturing have become major forces driving supply chain transformation.Under such circumstances,particular attention should be attached to balancing resilience and efficiency of the supply chain,especially in the presence of more turbulence.In this study,we first summarize the conflicts between supply chain efficiency and supply chain resilience regarding practices and objectives.Then,we discuss the positive effects of disruptive technologies in improving resilience and efficiency.Afterwards,we propose a research agenda that covers both the influence mechanism and trade-off mechanism of these technologies in terms of resilience and efficiency.展开更多
基金supported by the National Social Science Foundation of China(Grant No.22BTQ089).
文摘Purpose:The transformative impact of disruptive technologies on the restructuring of the times has attracted widespread global attention.This study aims to analyze the characteristics and shortcomings of China’s artificial intelligence(AI)disruptive technology policy,and to put forward suggestions for optimizing China’s AI disruptive technology policy.Design/methodology/approach:Develop a three-dimensional analytical framework for“policy tools-policy actors-policy themes”and apply policy tools,social network analysis,and LDA topic model to conduct a comprehensive analysis of the utilization of policy tools,cooperative relationships among policy actors,and the trends in policy theme settings within China’s innovative AI technology policy.Findings:We find that the collaborative relationship among the policy actors of AI disruptive technology in China is insufficiently close.Marginal subjects exhibit low participation in the cooperation network and overly rely on central subjects,forming a“center-periphery”network structure.Policy tool usage is predominantly focused on supply and environmental types,with a severe inadequacy in demand-side policy tool utilization.Policy themes are diverse,encompassing topics such as“Intelligent Services”“Talent Cultivation”“Information Security”and“Technological Innovation”,which will remain focal points.Under the themes of“Intelligent Services”and“Intelligent Governance”,policy tool usage is relatively balanced,with close collaboration among policy entities.However,the theme of“AI Theoretical System”lacks a comprehensive understanding of tool usage and necessitates enhanced cooperation with other policy entities.Research limitations:The data sources and experimental scope are subject to certain limitations,potentially introducing biases and imperfections into the research results,necessitating further validation and refinement.Practical implications:The study introduces a three-dimensional analysis framework for disruptive technology policy texts,which is significant for formulating and enhancing disruptive technology policies.Originality/value:This study utilizes text mining and content analysis techniques to quantitatively analyze disruptive technology policy texts.It systematically evaluates China’s AI policies quantitatively,focusing on policy tools,policy actors,policy themes.The study uncovers the characteristics and deficiencies of current AI policies,offering recommendations for formulating and enhancing disruptive technology policies.
文摘Space is a high-tech field integrating materials, electronic information, manufacture, energy, medicine ana other disciplines. A number of disruptive technologies in various fields will have an important influence in areas such as space industry, scientific research on space and even military space. This article focuses on disruptive technologies exerting enormous influence in the space field based on the qualitative and quantitative research of disruptive technolo- gies. The research and application for disruptive space technology is expected to greatly improve the emciency of space system, significantly reducing research cost, and to promote a great improvement of space technology level,
文摘Social media is a platform in which user can create,share and exchange the knowledge/information.Social media marketing is to identify the different consumer’s demands and engages them to create marketing resources.The popular social media platforms are Microsoft,Snapchat,Amazon,Flipkart,Google,eBay,Instagram,Facebook,Pin interest,and Twitter.The main aim of social media marketing deals with various business partners and build good relationship with millions of customers by satisfying their needs.Disruptive technology is replacing old approaches in the social media marketing to new technology-based marketing.However,this disruptive technology creates some issues like fake news,insecure,inconsistency,inaccuracy and so on.These issues contribute economic instability in the society,diminishing the level of trustworthy.To overcome these issues,this paper we present blockchain as disruptive technology for social media marketing.Blockchain plays a vital role on social media marketing by providing secure to the company page in the website.The properties of disruptive potential of blockchain on social media marketing is transparency,security,reliability and immutability.This paper presents a new framework for disruptive technology in blockchain social media marketing using fusion of CryptoNight mining algorithm with YAC consensus algorithm[BCDSMM-CNYAC].This mining algorithm provides high CPU efficiency,high dimensionality of secure and detecting falsifying data attack in the social media marketing.For the data analysis we proposed ANOVA analysis method regarding to the factors of age,time,frequency visiting times of social media platform.For reliability analysis of data Cronbach’s alpha tests are implemented.
基金This research is funded by Major Program of the National Social Science Foundation of China(Grant No.22&ZD139)the National Natural Science Foundation of China(Grant Nos.72091210 and 72091214)+1 种基金This paper is also a phased research achievement of the Major Program of the Chinese Academy of Engineering(Grant No.2022-JB-01)supported by Tianjin Science and Technology Planning Project,China(Grant No.22ZLGCGX00060).
文摘Disruptive technologies provide a new paradigm for supply chain risk management and bring opportunities and challenges for the improvement of supply chain resilience(SCRes).This study summarizes the application cases of some disruptive technologies in the SCRes and analyzes the benefits and damages brought by disruptive technologies to the SCRes.The results show that disruptive technologies can provide the supply chain with flexibility,visibility,agility,and other capabilities at various stages of risk management.Hence,technology advancements greatly increase the level of the SCRes.Although disruptive technologies undermine the construction of SCRes,these damages can be eliminated through technology iteration or other disruptive technologies.Furthermore,disruptive technologies will provide better stability for the SCRes.The study also makes several suggestions for the use of disruptive technologies in the construction of the SCRes.
基金supported by the National Natural Science Foundation of China(Grant Nos.72272013 and 71971027).
文摘In the Industry 4.0 era,disruptive technologies such as big data analytics,blockchain,Internet-of-Things,and additive manufacturing have become major forces driving supply chain transformation.Under such circumstances,particular attention should be attached to balancing resilience and efficiency of the supply chain,especially in the presence of more turbulence.In this study,we first summarize the conflicts between supply chain efficiency and supply chain resilience regarding practices and objectives.Then,we discuss the positive effects of disruptive technologies in improving resilience and efficiency.Afterwards,we propose a research agenda that covers both the influence mechanism and trade-off mechanism of these technologies in terms of resilience and efficiency.
