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Incorporation of sticky information and product diversification into static game of open innovation

International Journal of Innovation Studies 2022年第1期6卷 11-25页

作者： Xiaoguang Zhu Xuzhou University of Technology Xuzhou221018JiangsuChina

Platform economics has promoted open innovation through sufficient channels to reveal and exchange knowledge with experts or valued customers.However,innovation also suffers from information stickiness and product diversification risks.In order to design an innovation strategy on a platform,this study incorporated these risks into game models of open innovation and proposed strategies to promote open innovation and welfare through equilibrium analysis.On the basis of the literature analysis of these risks,stochastic pay-off functions were constructed to regulate and stabilize the knowledge exchange flows.From equilibrium analysis of the game models,we conclude that:1)stickiness and diversification are critical factors for open innovation on a platform;2)at the beginning,a broad search is necessary to acquire diverse knowledge;at the middle stage,regulation of knowledge exchange is critical to achieving equilibrium and higher profits;and 3)global welfare could be elevated through adjustment of knowledge size and friction of communication.

关键词： Open innovation Platform economy knowledge exchange Sticky information Product diversification

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The online social networks on knowledge exchange:online social identity,social tie and culture orientation

The online social networks on knowledge exchange:online soci...

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第六届（2011）中国管理学年会——信息管理分会场

作者： Dr.XIAO,Huilin(Sophie) PhD(University of Sydney,Australia)Dr.LI,Weifeng(Lee) PhD(University of New South Wales,Australia)Mr.CAO,Xubin Center of Experimental Teaching in Economics and Management Southwestern University of Finance and Economics,ChinaDr.TANG,Zongming Associate Professor Shanghai Jiaotong University,China

The purpose of this research is to understand the mechanism of knowledge exchange in the virtual community from the social perspective.By drawing upon social exchange theory and social capital theory,this study develops a theoretical model that predicts individual knowledge exchange behavior in the virtual environment,where trust and outcome expectation mediate the relationship between the online social identity,online social tie,personal culture orientation and the effect of knowledge exchange.The study also focus on the cross-culture effect which influenced the knowledge exchange in the virtually community.Using the survey instrument,the model was tested empirically based on a sample of 248 users who had experience within the online community,and made compassion studies with the previous research which mainly carried on in the Western countries.The findings of the research suggest that the online social attributes of the Internet users are key facilitators in knowledge exchange in virtual communities.

关键词： virtual community knowledge exchange online social identity social tie culture orientation

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HOW TASK ALLOCATION STRATEGY AFFECTS TEAM PERFOR- MANCE： A COMPUTATIONAL EXPERIMENT

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Journal of Systems Science and Systems Engineering 2018年第5期27卷 656-676页

作者： Shaoni Wang Yanzhong Dang Jiangning Wu Institute of Systems Engineering Dalian University of Technology Dalian 116024 China

This paper studies how to determine task allocation schemes according to the status and require-ments of various teams, to achieve optimal performance for a knowledge-intensive team （KIT）, whichis different from traditional task assignment. The way to allocate tasks to a team affects task processingand, in turn, influences the team itself after the task is processed. Considering the knowledge require-ment of tasks as a driving force and that knowledge exchange is pivotal, we build a KIT system modelbased on complex adaptive system theory and agent modeling technology, design task allocation strat-egies （TASs） and a team performance measurement scale utilizing computational experiment, and an-alyze how different TASs impact the different performance indicators of KITs. The experimental re-sults show the recommend TAS varies under different conditions, such as the knowledge levels ofmembers, team structures, and tasks to be assigned, particularly when the requirements to the team aredifferent. In conclusion, we put forward a new way of thinking and methodology for real task alloca-tion problems and provide support for allocation decision makers.

关键词： knowledge intensive team （KIT） task allocation strategies （TASs） knowledge exchange team performance computational experiment

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Visualisation techniques to support public interpretation of future climate change and land-use choices:a case study from N-E Scotland

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International Journal of Digital Earth 2016年第6期9卷 586-605页

作者： Chen Wang David Miller Iain Brown Yang Jiang Marie Castellazzi Information and Computational Sciences The James Hutton InstituteAberdeenUK School of Computing Science and Digital Media Robert Gordon UniversityAberdeenUK

Mitigating and adapting to climate change includes a requirement to evaluate the role of future land uses in delivering robust integrated responses that are sensitive to local landscape contexts.In practice,this emphasises the need for community engagement,planning and inclusive decision-making.Community engagement may be potentially facilitated by the use of spatially explicit quantitative scenarios of landuse change in combination with interactive visualisation.This requires a coherent framework to integrate spatial data modelling,analytical capabilities and visualisation tools in a format that will also engage diverse public audiences.These challenges were explored with a case study of virtual landscapes from N-E Scotland that was used to test preferences for scenarios of future land use.Visualisations employed texture-based rendering rather than full photo-realistic rendering to facilitate interactivity and this provided additional scope for audiences to explore multiple future scenarios compared to the present landscape.Interactive voting in a virtual landscape theatre suggested preferences for visual diversity,good stewardship and perceived naturalness that should be considered in developing planned responses to change.Further investigation of preferences was conducted using interactive 3D features located within the landscape.Study findings are reviewed against objectives for inclusive engagement in the Digital Earth agenda and used to make further recommendations on the use of scenarios and visualisation tools.In particular,technical advances in user engagement need to be developed in conjunction with emerging good practice that addresses ethical,behavioural and inclusion issues so that the content is presented in as transparent and unbiased format as possible.

关键词： Landscape visualisation geographic information systems land-use scenarios public participation knowledge exchange

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The Dynamic knowledge Loop:Inter- and Transdisciplinary Cooperation and Adaptation of Climate Change knowledge

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International Journal of Disaster Risk Science 2014年第1期5卷 21-32页

作者： Maria Hagemeier-Klose Simone Annerose Beichler Bart Jan Davidse Sonja Deppisch Research Group‘‘plan B:altic–Climate Change and Spatial Development ’’Department of Urban Planning and Regional DevelopmentHafenCity University Hamburg20457 HamburgGermany

The‘‘dynamic knowledge loop’’explores processes of knowledge generation,knowledge exchange,and social learning in inter-and transdisciplinary cooperation and relates them to adaptive capacity.Adaptive capacity building can reduce vulnerabilities and enhance the resilience of urban regions towards the impacts of climate change.We use a mix of empirical methods and apply the dynamic knowledge loop as an innovative analytical tool.The added value of inter-and transdisciplinary cooperation concerning knowledge generation and facilitation of social learning is discussed by applying the dynamic knowledge loop to research about a scenario-planning process and a participatory mapping exercise in the urban region of Rostock,Germany.The results demonstrate that the scenario planning process allowed for a consideration of complex interrelations that have the potential for an integration of different influences,perspectives,and knowledge forms.Scenario planning facilitated social learning by creating a platform for integration and exchange of different epistemologies and for considering alternative futures.The participatory mapping exercise demonstrated the scientific value of the integration of local knowledge as well.Building upon these results,we stress the importance of knowledge generation,knowledge exchange,and social learning to build up adaptive capacity through different forms of cooperation between science and practice.

关键词： Adaptive capacity Climate change Interdisciplinary cooperation knowledge exchange Social learning Transdisciplinary cooperation

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Towards the sustainable intensification of agriculture——a systems approach to policy formulation

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Frontiers of Agricultural Science and Engineering 2020年第1期7卷 81-89页

作者： Leslie G.FIRBANK School of Biology University of LeedsLeedsLS29JTUK

The sustainable intensification of agriculture involves providing sufficient food and other ecosystem services without going beyond the limits of the earth’s system.Here a project management approach is suggested to help guide agricultural policy to deliver these objectives.The first step is to agree measurable outcomes,integrating formal policy goals with the often much less formal and much more diverse goals of individual farmers.The second step is to assess current performance.Ideally,this will involve the use of farm-scale metrics that can feed into process models that address social and environmental domains as well as production issues that can be benchmarked and upscaled to landscape and country.Some policy goals can be delivered by supporting ad hoc interventions,while others require the redesign of the farming system.A pipeline of research,knowledge and capacity building is needed to ensure the continuous increase in farm performance.System models can help prioritise policy interventions.Formal optimization of land use is only appropriate if the policy goals are clear,and the constraints understood.In practice,the best approach may depend on the scale of action that is required,and on the amount of resource and infrastructure available to generate,implement and manage policy.

关键词： agricultural policy ecosystem services indicators of sustainable intensification knowledge exchange land use optimization

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引用动能视角下跨学科知识来源识别

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图书馆学情报学 2023年第8期

作者：申力旭魏绪秋李长玲王欣欣栾锟

[目的/意义]识别跨学科引用的主要学科，有助于促进学科之间的知识交流，探析学科间的联系，推动学科创新发展。[方法/过程]引入物理学动能定理，从引用质量和引用转化率两方面构建引用动能模型，计算目标学科引用其他学科文献而具有的... 详细信息

[目的/意义]识别跨学科引用的主要学科，有助于促进学科之间的知识交流，探析学科间的联系，推动学科创新发展。[方法/过程]引入物理学动能定理，从引用质量和引用转化率两方面构建引用动能模型，计算目标学科引用其他学科文献而具有的动能，根据动能的大小，识别该学科引用知识的主要来源学科，挖掘学科间的联系。[结果/结论]以图书情报学为例进行实证研究，发现管理学是与图书情报学知识交流最密切的学科，其次为计算机科学与经济学。探析图书情报学与被引学科之间的联系，促进跨学科知识交流，进而有助于研究学科之间的交叉融合现象，发掘学科生长点，培育新兴交叉学科，构建协调可持续发展的学科体系。

关键词：图书情报学跨学科研究引用动能理论知识来源知识交流　　Library and information science Interdisciplinary research Citation kinetic energy knowledge sources knowledge exchange

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