Humankind is facing unprecedented global environmental and social challenges in terms of food,water and energy security,resilience to natural hazards,etc.To address these challenges,international organizations have de...Humankind is facing unprecedented global environmental and social challenges in terms of food,water and energy security,resilience to natural hazards,etc.To address these challenges,international organizations have defined a list of policy actions to be achieved in a relatively short and medium-term timespan.The development and use of knowledge platforms is key in helping the decision-making process to take significant decisions(providing the best available knowledge)and avoid potentially negative impacts on society and the environment.Such knowledge platforms must build on the recent and next coming digital technologies that have transformed society–including the science and engineering sectors.Big Earth Data(BED)science aims to provide the methodologies and instruments to generate knowledge from numerous,complex,and diverse data sources.BED science requires the development of Geoscience Digital Ecosystems(GEDs),which bank on the combined use of fundamental technology units(i.e.big data,learning-driven artificial intelligence,and network-based computing platform)to enable the development of more detailed knowledge to observe and test planet Earth as a whole.This manuscript contributes to the BED science research domain,by presenting the Virtual Earth Cloud:a multi-cloud framework to support GDE implementation and generate knowledge on environmental and social sustainability.展开更多
Embracing software product lines(SPLs)is pivotal in the dynamic landscape of contemporary software devel-opment.However,the flexibility and global distribution inherent in modern systems pose significant challenges to...Embracing software product lines(SPLs)is pivotal in the dynamic landscape of contemporary software devel-opment.However,the flexibility and global distribution inherent in modern systems pose significant challenges to managing SPL variability,underscoring the critical importance of robust cybersecurity measures.This paper advocates for leveraging machine learning(ML)to address variability management issues and fortify the security of SPL.In the context of the broader special issue theme on innovative cybersecurity approaches,our proposed ML-based framework offers an interdisciplinary perspective,blending insights from computing,social sciences,and business.Specifically,it employs ML for demand analysis,dynamic feature extraction,and enhanced feature selection in distributed settings,contributing to cyber-resilient ecosystems.Our experiments demonstrate the framework’s superiority,emphasizing its potential to boost productivity and security in SPLs.As digital threats evolve,this research catalyzes interdisciplinary collaborations,aligning with the special issue’s goal of breaking down academic barriers to strengthen digital ecosystems against sophisticated attacks while upholding ethics,privacy,and human values.展开更多
In the era of the digital economy,the extensive application of digital technologies has injected new momentum into the commercialization of small and medium-sized museums.However,these museums face numerous bottleneck...In the era of the digital economy,the extensive application of digital technologies has injected new momentum into the commercialization of small and medium-sized museums.However,these museums face numerous bottlenecks in the process of commercialization,making the construction of a digital business ecosystem an imperative.Based on a review of the current status,challenges,and opportunities of the commercialization of small and medium-sized museums,this paper clarifies the significance of constructing a digital business ecosystem.From the perspective of“Culture-Commerce-Tourism”integration,this paper proposes an integrated conceptual framework for the digital business ecosystem of small and medium-sized museums.This system is underpinned by digital technology infrastructure and constructs a five-dimensional collaborative network consisting of museums,government,digital platforms,tourists,and communities.Its core driving force is a spiral value-creation process driven by the deep integration of culture,commerce,and tourism.The ecosystem features technological empowerment of business operations,dynamic equilibrium among actors,and sustainable value co-creation.Based on this framework,the paper proposes practical strategies and recommendations for constructing a digital business ecosystem for small and medium-sized museums.展开更多
This research aims to provide an ecosystem-inspired approach to digital transformation(DT)for sustainable innovations by reviewing state-of-the-art research.Focusing on DT innovation pathways for Sustainable Developme...This research aims to provide an ecosystem-inspired approach to digital transformation(DT)for sustainable innovations by reviewing state-of-the-art research.Focusing on DT innovation pathways for Sustainable Development Goals(SDGs),a DT innovation roadmap incorporating various notions of ecosystems can thus be developed based on the findings in response to advancements in the“Helix”models of innovation and policy progress in green digital transformation.Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses(PRISMA)protocol,a bibliographic search was conducted in the Web of Science(WoS)database.A bibliometric analysis was then performed,leading to various science mapping outcomes.The research findings suggest practical DT innovation pathways for stakeholders aiming to achieve SDGs and a DT innovation roadmap to assist researchers in navigating the evolving innovation landscape.Since 2007,research output has experienced rapid growth,especially after 2018,with active contributions from countries such as China,Australia,England,and Italy,as well as affiliations such as Guangzhou Nanfang College,Curtin University,and Harvard University.The findings,including a performance overview,a set of clustering analyses of concepts and themes,the conceptual and intellectual structure,and an SDG identification table,provide the basis for the proposed Green Digital Transformation(GDT)innovation roadmap with DT innovation pathways.This research is the first to conduct a bibliometric analysis and science mapping of the DT literature focusing on innovation and business ecosystems.The proposed GDT innovation roadmap outlines the usefulness of the concept of“ecosystem innovation,”integrating the natural ecosystem,ecosystem services,ecosystem economy,business ecosystem,innovation ecosystem,and digital ecosystems,thereby calling for the eco-design of DT strategies that foster alignment and partnership across sectors and disciplines.展开更多
Linxia brick carving is an artistic carrier of multi-ethnic cultural intermingling,but its symbolic abstraction and diversity make digital conservation challenging.Currently,the traditional qualitative recording metho...Linxia brick carving is an artistic carrier of multi-ethnic cultural intermingling,but its symbolic abstraction and diversity make digital conservation challenging.Currently,the traditional qualitative recording methods are unable to realize dynamic analysis and innovative applications.This study builds a framework for the integration of vector representation and multimodal semantic mapping,and uses that framework to quantify the historical semantics,artistic fusion,and technological features of Linxia brick carving cultural heritage by constructing a 26-dimensional vector space.This approach allowed us to solve the semantic heterogeneity of the textual-image data through the help of structured descriptive templates.The results show that this framework can support the systematic analysis and innovation of Linxia brick carving cultural symbols with high classification accuracy and reveal the structured semantic association of patterns.This study realizes the transformation of abstract symbols to computable values through the generalized 26-dimensional vectors,and can use standardized templates to regulate their digital expressions,depending on multimodal data sets that establish the multidimensional innovation of artificial intelligence-driven protection mechanisms.The results can provide methodological support for the shift in cultural heritage from static records to living inheritance,and demonstrate potential transferability to analogous heritage contexts through dimensional remapping and template localization strategies.These advances can promote the deep integration of artificial intelligence and traditional art symbols,and thus support research on the protection strategies for traditional cultural heritage in the era of digitalization.展开更多
Digital innovation is becoming increasingly important in today＇s economy. Many digital innovations are developed not within organizations, but in innovation-driven entrepreneurial ecosystems, where various entreprene...Digital innovation is becoming increasingly important in today＇s economy. Many digital innovations are developed not within organizations, but in innovation-driven entrepreneurial ecosystems, where various entrepreneurship related stakeholders collaborate and cooperate. Despite its significance, studies on digital entrepreneurship ecosystems （DEEs） are limited and the concept is largely undertheorized. This study intends to fill that gap by studying how a DEE organizes. This organizing issue is challenging, because stakeholders of a DEE are self-organizing and are not governed by any formal authority. To answer that question, we adopt forms of organizing as a theoretical lens, which provides structure to examine organizing issues. Through an in-depth case study of Zhongguancun, the Silicon Valley of China, we unveil eight processes around the themes of division of labor and integration of efforts. We further show that the forms of organizing feature a balance of centralized design and de-centralized emergence. This balanced view extends the forms of organizing literature, which takes an either/or perspective. Ecosystem architects and policy makers who intend to build entrepreneurship ecosystems to promote local economies can derive practical implications from our findings.展开更多
Social media development creates new challenges to the sphere of cyberspace security and privacy.WeChat and Weibo have also been targeted by phishers.This analysis places particular emphasis on how social networks inf...Social media development creates new challenges to the sphere of cyberspace security and privacy.WeChat and Weibo have also been targeted by phishers.This analysis places particular emphasis on how social networks influence information systems protection in China,including the aspects of strategic insights on enterprises,social governance,information security,and national security.It addresses both,major depth of reach,such as AI-based adversary reconnaissance,as well as the weaknesses-such as the use of social networks for global intelligence capture.It also discusses China’s separation and individuals with the encompassing methods of containment including legal,as well as modern methods,to counter the unique threats posed by an uncontrollable landscape of social networks.展开更多
基金The research leading to these results benefited from funding by the European Union's Horizon 2020 Framework Programme research and innovation programme[under grant agreements:n.689443(ERA-PLANET),n.777536(EOSC-hub),n.776136(EDGE),n.34538(EO Value),n.101039118(GPP)]by the European Space Agency[under ESA Contracts:n.4000123005/18/IT/CGD(DAB4EDGE)and n.4000138128/22/I/AG(DAB4GPP)]European Commission CNECT(grant n.35713).
文摘Humankind is facing unprecedented global environmental and social challenges in terms of food,water and energy security,resilience to natural hazards,etc.To address these challenges,international organizations have defined a list of policy actions to be achieved in a relatively short and medium-term timespan.The development and use of knowledge platforms is key in helping the decision-making process to take significant decisions(providing the best available knowledge)and avoid potentially negative impacts on society and the environment.Such knowledge platforms must build on the recent and next coming digital technologies that have transformed society–including the science and engineering sectors.Big Earth Data(BED)science aims to provide the methodologies and instruments to generate knowledge from numerous,complex,and diverse data sources.BED science requires the development of Geoscience Digital Ecosystems(GEDs),which bank on the combined use of fundamental technology units(i.e.big data,learning-driven artificial intelligence,and network-based computing platform)to enable the development of more detailed knowledge to observe and test planet Earth as a whole.This manuscript contributes to the BED science research domain,by presenting the Virtual Earth Cloud:a multi-cloud framework to support GDE implementation and generate knowledge on environmental and social sustainability.
基金supported via funding from Ministry of Defense,Government of Pakistan under Project Number AHQ/95013/6/4/8/NASTP(ACP).Titled:Development of ICT and Artificial Intelligence Based Precision Agriculture Systems Utilizing Dual-Use Aerospace Technologies-GREENAI.
文摘Embracing software product lines(SPLs)is pivotal in the dynamic landscape of contemporary software devel-opment.However,the flexibility and global distribution inherent in modern systems pose significant challenges to managing SPL variability,underscoring the critical importance of robust cybersecurity measures.This paper advocates for leveraging machine learning(ML)to address variability management issues and fortify the security of SPL.In the context of the broader special issue theme on innovative cybersecurity approaches,our proposed ML-based framework offers an interdisciplinary perspective,blending insights from computing,social sciences,and business.Specifically,it employs ML for demand analysis,dynamic feature extraction,and enhanced feature selection in distributed settings,contributing to cyber-resilient ecosystems.Our experiments demonstrate the framework’s superiority,emphasizing its potential to boost productivity and security in SPLs.As digital threats evolve,this research catalyzes interdisciplinary collaborations,aligning with the special issue’s goal of breaking down academic barriers to strengthen digital ecosystems against sophisticated attacks while upholding ethics,privacy,and human values.
文摘In the era of the digital economy,the extensive application of digital technologies has injected new momentum into the commercialization of small and medium-sized museums.However,these museums face numerous bottlenecks in the process of commercialization,making the construction of a digital business ecosystem an imperative.Based on a review of the current status,challenges,and opportunities of the commercialization of small and medium-sized museums,this paper clarifies the significance of constructing a digital business ecosystem.From the perspective of“Culture-Commerce-Tourism”integration,this paper proposes an integrated conceptual framework for the digital business ecosystem of small and medium-sized museums.This system is underpinned by digital technology infrastructure and constructs a five-dimensional collaborative network consisting of museums,government,digital platforms,tourists,and communities.Its core driving force is a spiral value-creation process driven by the deep integration of culture,commerce,and tourism.The ecosystem features technological empowerment of business operations,dynamic equilibrium among actors,and sustainable value co-creation.Based on this framework,the paper proposes practical strategies and recommendations for constructing a digital business ecosystem for small and medium-sized museums.
文摘This research aims to provide an ecosystem-inspired approach to digital transformation(DT)for sustainable innovations by reviewing state-of-the-art research.Focusing on DT innovation pathways for Sustainable Development Goals(SDGs),a DT innovation roadmap incorporating various notions of ecosystems can thus be developed based on the findings in response to advancements in the“Helix”models of innovation and policy progress in green digital transformation.Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses(PRISMA)protocol,a bibliographic search was conducted in the Web of Science(WoS)database.A bibliometric analysis was then performed,leading to various science mapping outcomes.The research findings suggest practical DT innovation pathways for stakeholders aiming to achieve SDGs and a DT innovation roadmap to assist researchers in navigating the evolving innovation landscape.Since 2007,research output has experienced rapid growth,especially after 2018,with active contributions from countries such as China,Australia,England,and Italy,as well as affiliations such as Guangzhou Nanfang College,Curtin University,and Harvard University.The findings,including a performance overview,a set of clustering analyses of concepts and themes,the conceptual and intellectual structure,and an SDG identification table,provide the basis for the proposed Green Digital Transformation(GDT)innovation roadmap with DT innovation pathways.This research is the first to conduct a bibliometric analysis and science mapping of the DT literature focusing on innovation and business ecosystems.The proposed GDT innovation roadmap outlines the usefulness of the concept of“ecosystem innovation,”integrating the natural ecosystem,ecosystem services,ecosystem economy,business ecosystem,innovation ecosystem,and digital ecosystems,thereby calling for the eco-design of DT strategies that foster alignment and partnership across sectors and disciplines.
基金The 2022 General Project of Gansu Provincial Philosophy and Social Sciences Planning(2022YB034)。
文摘Linxia brick carving is an artistic carrier of multi-ethnic cultural intermingling,but its symbolic abstraction and diversity make digital conservation challenging.Currently,the traditional qualitative recording methods are unable to realize dynamic analysis and innovative applications.This study builds a framework for the integration of vector representation and multimodal semantic mapping,and uses that framework to quantify the historical semantics,artistic fusion,and technological features of Linxia brick carving cultural heritage by constructing a 26-dimensional vector space.This approach allowed us to solve the semantic heterogeneity of the textual-image data through the help of structured descriptive templates.The results show that this framework can support the systematic analysis and innovation of Linxia brick carving cultural symbols with high classification accuracy and reveal the structured semantic association of patterns.This study realizes the transformation of abstract symbols to computable values through the generalized 26-dimensional vectors,and can use standardized templates to regulate their digital expressions,depending on multimodal data sets that establish the multidimensional innovation of artificial intelligence-driven protection mechanisms.The results can provide methodological support for the shift in cultural heritage from static records to living inheritance,and demonstrate potential transferability to analogous heritage contexts through dimensional remapping and template localization strategies.These advances can promote the deep integration of artificial intelligence and traditional art symbols,and thus support research on the protection strategies for traditional cultural heritage in the era of digitalization.
基金This research is supported by the National Natural Science Foundation of China （71402187）, and Fundamental Research Funds for the Central Universities and the Research Funds of Renmin University of China （15XNF023）. For helpful comments, we thank two anonymous referees, English editor in FBR, Meng Zhao, Xiaoyu Ji, Shan Wang, Ruidong Zhang and the 2016 Frontiers of Business Research in China International Symposium.
文摘Digital innovation is becoming increasingly important in today＇s economy. Many digital innovations are developed not within organizations, but in innovation-driven entrepreneurial ecosystems, where various entrepreneurship related stakeholders collaborate and cooperate. Despite its significance, studies on digital entrepreneurship ecosystems （DEEs） are limited and the concept is largely undertheorized. This study intends to fill that gap by studying how a DEE organizes. This organizing issue is challenging, because stakeholders of a DEE are self-organizing and are not governed by any formal authority. To answer that question, we adopt forms of organizing as a theoretical lens, which provides structure to examine organizing issues. Through an in-depth case study of Zhongguancun, the Silicon Valley of China, we unveil eight processes around the themes of division of labor and integration of efforts. We further show that the forms of organizing feature a balance of centralized design and de-centralized emergence. This balanced view extends the forms of organizing literature, which takes an either/or perspective. Ecosystem architects and policy makers who intend to build entrepreneurship ecosystems to promote local economies can derive practical implications from our findings.
文摘Social media development creates new challenges to the sphere of cyberspace security and privacy.WeChat and Weibo have also been targeted by phishers.This analysis places particular emphasis on how social networks influence information systems protection in China,including the aspects of strategic insights on enterprises,social governance,information security,and national security.It addresses both,major depth of reach,such as AI-based adversary reconnaissance,as well as the weaknesses-such as the use of social networks for global intelligence capture.It also discusses China’s separation and individuals with the encompassing methods of containment including legal,as well as modern methods,to counter the unique threats posed by an uncontrollable landscape of social networks.
