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This paper presents a general framework for studying the digital innovation ecosystem. The notion of complex networks offers a conceptual lens to analyze the emergence and evolution of a digital innovation ecosystem. The framework uses digital data and evolutionary community detection analysis for the empirical inquiry of the digital innovation landscape. The proposed framework is applied to the big data ecosystem. Data from Twitter, for a three year period, is processed and analyzed. This study reveals a large number of elements that are diverse in form and capacity, including organizations, concepts (e.g., #analytics, #iot), technologies (e.g., #hadoop), applications (e.g., #healthcare), infrastructures (e.g., #cloud), regulations, professional meetings and associations, tools, and knowledge. These elements and their communities have evolved in the big data ecosystem. The findings highlight the evolution of digital innovation by two mechanisms, variation and selective retention, which are nonlinear and often unpredictable. Implications are presented and potential ways to improve the proposed framework are discussed. The study aims to make both conceptual and methodological contributions to digital innovation research. 相似文献
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This study examines the creation of innovation-related knowledge in virtual communities visited mainly by lead users. Such communities enable firms to access a large number of lead users in a cost-efficient way. A propositional framework relates lead users’ characteristics to unique virtual community features to examine their potential impact on the development of valuable innovation knowledge. The authors empirically validate this framework by analyzing online contributions of lead users for mobile service innovation projects. The findings indicate that the value of their contributions stems from their ability to suggest solutions instead of simply describing problems or stating customer needs. Lead users’ technical expertise also makes them particularly well-suited to develop new functionalities, but less so for design and usability improvements. The digital context favors the creation of explicit knowledge that can be easily integrated into the development of new products. Finally, contributions given by lead users in a proactive way contain more novel insights than reactive contributions such as answers to community members’ questions. The findings should help managers stimulate, identify, and improve the use of lead users’ input in virtual communities. 相似文献
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随着互联网的发展,激发虚拟品牌社区中有利于企业的知识创新,成为企业应对动态市场环境而实施创新战略的关键。本文基于C2C与B2C虚拟品牌社区中用户探索性/应用性学习和用户创意组合管理的视角,构建了激发有利于企业知识创新的理论模型。实证发现:C2C与B2C虚拟品牌社区会对用户探索性/应用性学习方式产生差异影响,相对于B2C虚拟品牌社区有利于用户的应用性学习,C2C虚拟品牌社区倾向于用户的探索性学习,而探索性学习更有利于激发用户知识创新能力;进一步,用户知识创新能力对激发用户产生有利于企业知识创新的作用并不显著;但是,用户创意组合管理在用户知识创新能力对激发有利于企业知识创新的关系中起到显著的正向调节作用。本研究为企业实施用户知识管理创新战略提出了有价值的启示。 相似文献
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为了提高虚拟实践社区知识转移的质量,促进社区内的知识共享和创新,提出了一种基于语义级的虚拟实践社区知识转移模型构建方法。从虚拟实践社区区别于实践社区和虚拟社区的特殊性出发,运用混合本体方法构建了虚拟实践社区的知识集成框架;构建不同类型的知识转移消息的形式化模型,进而从内容感知的角度,结合相似度计算给出知识转移参与者的选择算法。基于本体构建的社区知识存储模型有利于用户间从语义层次上进行交互,提高社区内知识转移的效率和准确率。 相似文献
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为了探究内容提供商如何借助万众之“智”谋求自身之“惠”,本文整合知识基础观和服务主导逻辑,构建概念模型,采用386份配对样本开展实证研究。结果表明:能力提供商是万众之“智”最重要的源头,新服务体验者重要性居中,平台企业重要性最弱;内容提供商从这些源头获取的知识对其新服务开发(NSD)绩效有促进作用,其中,显性知识对新服务数量的促进作用更强,隐性知识对新服务评分的促进作用更强;高复杂性任务抑制了显性知识获取对NSD绩效的促进作用,激发了隐性知识获取对NSD绩效的促进作用。研究结论使得“企业知识获取—企业创新绩效”这一理论体系在“互联网+万众创新”的平台生态圈中发展和深化,为内容提供商从知识源、知识类型和任务复杂性全面审视进而实现以万众之“智”谋得自身之“惠”提供指导。 相似文献
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为了破解技术创新网络的越轨创新机制，基于悖论整合的权变视角分析了常规惯例复制、柔性惯例复制对越轨创新的影响，探究网络闭合、知识基础的单独与协同调节作用。结合研发密集型行业的合作网络数据，运用多元回归分析进行实证检验。研究结果表明：惯例复制、网络闭合与知识基础的多维匹配是实现越轨创新的最小功能集；常规惯例复制、柔性惯例复制的解构维度对越轨创新存在正向影响；高网络闭合的封闭式网络强化了常规惯例复制对越轨创新的促进作用，未能弱化柔性惯例复制的作用效能；高知识基础的多样化知识抑制了常规惯例复制对越轨创新的促进作用，无法提升柔性惯例复制的促进作用；网络闭合与知识基础的协同组合存在差异化的调节作用，削弱了柔性惯例复制对越轨创新的影响，而在常规惯例复制与越轨创新间不存在显著调节。研究结论对厘清越轨创新的形成边界、构建适度宽松的创新生态系统具有重要意义。 相似文献
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企业如何走出技术收购后“整合”还是“自治”的困境是一个十分重要而又缺乏深入探究的问题。以高科技企业为研究对象,构建了收购前技术甄选、资源重叠以及收购后战略模式选择三者间的理论模型,并提出研究假设,运用多元线性回归分析对所提研究假设进行实证检验。研究结果表明：界内技术甄选对整合型战略选择有显著的正向影响,但对自治型战略选择的影响不显著;跨界技术甄选对自治型战略选择有显著的正向影响,但对整合型战略选择的影响不显著。技术重叠正向调节界内技术甄选与整合型战略选择之间的关系,而负向调节跨界技术甄选与自治型战略选择之间的关系;关系重叠负向调节界内技术甄选与整合型战略选择之间的关系,而正向调节跨界技术甄选与自治型战略选择之间的关系。研究结论从整体价值创造层面揭示了技术收购后收购方企业如何进行战略模式选择的内在机制,为我国企业有效解决技术收购后“整合”还是“自治”战略这一现实问题提供了理论依据。 相似文献
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开放式创新是企业获取外部隐性知识和扩大社会资本的重要渠道,对企业提高自身的突破性创新能力从而更加有效地实施突破性创新具有重要的意义。本文通过理论分析及对长三角高新技术企业的实证研究,得出以下结论：(1)开放式创新对技能型隐性知识获取、认知型隐性知识获取和企业突破性创新能力均有显著正向影响；(2)技能型隐性知识获取对企业突破性创新能力有显著正向影响,而认知型隐性知识获取对企业突破性创新能力的显著正向影响没有得到证实,但技能型隐性知识获取和认知性隐性知识获取显著正相关；(3)企业内部社会资本和企业外部社会资本在开放式创新和突破性创新能力之间均有正向调节作用,且前者的调节作用大于后者。 相似文献
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The diffusion of knowledge within organizations provides opportunities for interpersonal co-operation, improves creative ability and therefore leads to competitive advantage. Focus of prior literature on knowledge diffusion has been on identifying factors that influence individuals' behavioral intentions to seek and share knowledge. However, knowledge diffusion as an enigmatic, emergent and organizational-level process is more than the simple aggregation of individual attributes and needs to be further investigated. Accordingly, this study focuses on three distinct system-level factors, i.e., architectures of connections among individuals, distributions of knowledge roles and designs of selection mechanisms and analyses their effects on knowledge diffusion. To be more specific, we examine three distinct knowledge roles: seekers, contributors and brokers. We also distinguish between three types of selection mechanisms: objective selection mechanisms, feedback-based selection mechanisms and random selection mechanisms. By conducting agent-based simulations on four representative networks, i.e., regular networks, random networks, small-world networks and scale-free networks, our results show that the optimal knowledge diffusion performance can be achieved on scale-free networks where all agents implement objective mechanisms and show characteristics of brokers. Moreover, our results (a) highlight the significance of brokers, (b) illustrate the superiority of objective selection rules and (c) demonstrate that scale-free networks provide an optimal framework for knowledge diffusion. Furthermore, we also find the interdependent relevance of these three factors to knowledge diffusion and propose a qualitative explanation of these findings. 相似文献
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The analysis of the importance of different types of regional innovation systems must take place within a context of the actual knowledge base of various industries in the economy, as the innovation processes of firms are strongly shaped by their specific knowledge base. In this paper, we shall distinguish between two types of knowledge base: analytical and synthetic. These types indicate different mixes of tacit and codified knowledge, codification possibilities and limits, qualifications and skills, required organisations and institutions involved, as well as specific competitive challenges from a globalising economy, which have different implications for different sectors of industry, and, thus, for the kind of innovation support needed. The traditional constellation of industrial clusters surrounded by innovation supporting organisations, constituting a regional innovation system, is nearly always to be found in contexts of industries with a synthetic knowledge base (e.g. engineering-based industries), while the existence of regional innovation systems as an integral part of a cluster will normally be the case of industries-based on an analytical knowledge base (e.g. science-based industries, such as IT and bio-tech). In the discussion of different types of regional innovation systems five empirical illustrations from a Nordic comparative project on SMEs and regional innovation systems will be used: the furniture industry in Salling, Denmark; the wireless communication industry in North Jutland, Denmark; the functional food industry in Scania, Sweden; the food industry in Rogaland, Norway and the electronics industry in Horten, Norway. We argue that in terms of innovation policy the regional level often provides a grounded approach embedded in networks of actors acknowledging the importance of the knowledge base of an industry. 相似文献
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This article presents a novel spatio-temporal framework for studying knowledge creation. To achieve this, we analyzed the recent literature on space, time and knowledge and conducted an empirical study. The intensive case was about four international distinguished university research groups in Finland in the fields of technology and science. Object, communicative and cognitive spaces with linear and relational times were used as tools for empirical analysis. Combinations of space and time bring out different aspects of knowledge. Knowledge processes of progressing knowledge (time-space), creating distinguished knowledge (space-time), and path-taking and bundling knowledge (spacetime) bind spaces and times closely together. Besides academy, the spatio-temporal framework can be applied to study the knowledge creation processes in art, business and local communities, for example. 相似文献
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随着虚拟社区逐渐成为人们进行信息交流和知识共享的新平台,关于虚拟社区中知识共享的影响因素和作用机制的研究也逐步展开。学者们从社会心理学、社会网络分析等理论视角构建研究模型,分析各自框架内的影响因素,但由于研究目的的不同,涉及到的影响因素也各不相同。本文通过总结以往学者的研究结论,分析促进知识共享的"场"的特征,构建虚拟社区知识共享的知识链模型,旨在提出一个较为完整的虚拟社区知识共享影响因素研究框架,为今后的研究提供一点参考。 相似文献
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服务创新网络的特征例如人际网络性、高嵌入性知识占主导、缺乏正式制度等使得服务企业更倾向于选择非正式的关系治理机制。已有的研究更多地从关系的视角研究服务创新网络治理,无法捕捉服务创新网络复杂、动态的合作关系,因此需要进一步探索契约治理机制和关系治理机制在服务创新情境中的共同作用以及新的变化。已有的网络治理研究对于契约治理和关系治理之间的关系存在不一致的结论。为了更好地解决理论冲突,本研究利用浙江省308家高技术服务企业合作创新活动的调查数据,考察契约治理机制和关系治理机制与知识获取、服务创新之间的关系。研究结果显示,关系治理有助于服务创新,知识获取是高技术服务企业利用关系治理机制实现服务创新的中介机制。在服务创新网络的情境下,契约治理和关系治理对于知识获取是两种不兼容的治理手段。契约治理会减弱关系治理对知识获取的促进效应。研究结论为高技术服务业的网络创新战略提供了新的启示。 相似文献
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In the new economy, firms are willing to pay abundant premiums for the significant entrepreneurial capacities of management and staff in order to develop, build, protect, transfer and integrate knowledge. Although companies and scholars have indeed recognized the value of knowledge management, they have not generally included customer, supplier, and competitor knowledge, preferring to emphasize the process of knowledge acquisition and sharing that takes place within organizations. Thus, this study proposes a conceptual framework, and uses interpretative case studies, to explore how an enterprise obtains the three types of external knowledge. Moreover, through the following five primary activities – acquisition, selection, generation, internalization, and externalization – this study will illustrate how enterprises apply the internal knowledge chain to transform their customer, supplier, and competitor knowledge to enhance enterprise competitiveness. 相似文献
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The social question and answer (Q&A) community provides people with an effective tool to obtain high-quality information. From the perspective of reciprocal determinism and value co-creation, this study aims to investigate the formation mechanism of high-quality knowledge in the community. We develop a model to investigate how cognitive factors and community technological factors influence users’ knowledge co-creation behavior, thereby influencing knowledge quality in the community. A survey of 382 knowledge contributors in a social Q&A community shows that knowledge self-efficacy, topic richness, personalized recommendation, and social interactivity have a positive impact on users' knowledge sharing and integration behavior, which subsequently affect the community’s knowledge quality. Moreover, users' ratings moderate the influence of knowledge sharing on knowledge quality. This research demonstrates the synergistic effect of people and technology in knowledge co-creation, thus advances literature about value co-creation and content quality in online communities. 相似文献
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《International Journal of Information Management》2016,36(1):60-72
Although building long-term, successful virtual communities is important, rare studies have examined both in- and extra-role value co-creation behaviors from the perspective of social exchange theory and equity theory. Specially, we incorporate five different online justice perceptions into our model and examine the mediating role of “sense of virtual community” between these perceived online justice antecedents and both in- and extra-role online value co-creation behavior (reflected by knowledge contribution and online community citizenship behaviors, respectively). We empirically examine the model using data from 278 members of virtual communities. The results reveal that perceived online justice leads to value co-creation behavior through sense of virtual community. The findings elicit several implications for theory and practice. 相似文献
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网络虚拟社区的发展依赖于社区知识共享的程度,通过博弈模型的构建与分析发现,不完全信息、有限重复、初始策略选择不共享都会导致虚拟社区知识共享陷入困局。但是,在时期界限变为无限大,即社区成员对通过社区获取知识产生依赖时,可能会出现新的均衡,形成虚拟社区知识共享无限重复博弈,导入激励机制及提高社区知识总量可以使这种可能性成为现实。 相似文献
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知识资源被认为是促进创新的关键性战略资产,但现有研究对于如何借助营销能力将其转化为创新绩效的关注较为欠缺,3者间的作用机制并不明晰,同时缺乏从提高营销能力视角下对知识获取方式与探索、开发过程的研究。基于组织双元理论,构建了知识获取方式、营销能力适应性过程与创新绩效关系的理论模型,并以294家制造型企业为样本开展实证研究,结果表明,内部知识共享和市场知识获取对创新绩效产生了直接的正向影响并通过营销探索和营销开发的中介作用产生间接影响;其中营销探索发挥了更为显著的中介效应,营销探索和营销开发2种适应性能力显著提升了创新绩效。 相似文献
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本文提出了关于知识创新动力源的分析框架 ,即大学及知识型组织的知识创新战略分析和选择的概念框架。具体提出了关于社会的知识间隙 ,组织内部知识间隙和组织核心战略间隙的基本含义、分析方法以及相应的战略目标和战略选择的研究模型。这个分析框架为我们在对组织的知识创新战略进行分析和选择时 ,提供一种原则性的方法论 相似文献