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91.
92.
本文通过文献资料法、实地调查和访谈法对广州大学城体育场馆对外开放的现状进行调查,发现大学城体育场馆对外开放程度较低,利用率不高,经营效益较差。提出十所高校联合建立大学城体育场馆对外经营开发部,通过整体开发提高经营效益和社会效益的构想。  相似文献   
93.
通过文献资料调研、数理统计等方法,重点研究了"公开赛"以来"超级"男子网球运动员职业生涯相关数据,发现他们职业生涯呈现出4个波段周期,即"朝阳期"、"高峰期"、"夕阳期"、"衰退期";统计出相关数据总体均值的95%可能性区间;总结不同技术打法在4大满贯场地的规律性现象以及未来技术发展趋势,并对超级运动员的职业走势做出预测.  相似文献   
94.
Incentives to innovate are a central element of innovation theory. In the private-investment model, innovators privately fund innovation and then use intellectual property protection mechanisms to appropriate returns from these investments. In the collective-action model, public subsidy funds public goods innovations, characterized by non-rivalry and non-exclusivity in using these innovations. Recently, these models have been compounded in the private-collective innovation model where innovators privately fund public goods innovations. Private-collective innovation is illustrated in the case of open source software development. This paper contributes to the work on this model by investigating incentives that motivate innovators to share their knowledge in an initial situation, before there is a community to support the innovation process. We use game theory to predict knowledge sharing behavior in private-collective innovation, and test these predictions in a laboratory setting. The results show that knowledge sharing is a coordination game with multiple equilibria, reflecting the fragility of knowledge sharing between innovators with conflicting interests. The experimental results demonstrate important asymmetries in the fragility of knowledge sharing and, in some situations, more knowledge sharing than theoretically predicted. A behavioral analysis suggests that knowledge sharing in private-collective innovation is not only affected by material incentives, but also by social preferences such as fairness. The results offer general insights into the relationship between incentives and knowledge sharing and contribute to a better understanding of the initiation of private-collective innovation.  相似文献   
95.
Industrial firms increasingly attempt to license their technologies apart from applying them in their own products. Because of the imperfections in technology markets, an active approach towards technology licensing does not automatically result in licensing transactions. To balance prior research, which has focused on licensing transactions as the outcome of licensing intentions, we take a contingency view to analyze how characteristics of a firm's innovation ecosystem determine different strategic types of licensing. Specifically, we distinguish proactive licensing, which refers to identifying recipients for technology transactions, and reactive licensing, which relates to offering licenses to infringers of a firm's intellectual property. Survey data show that environmental antecedents concerning appropriability, i.e., patent protection and technological turbulence, and determinants regarding technology markets, i.e., transaction frequency and competitive intensity, have different effects on proactive and reactive licensing. On this basis, the article has major implications for research into technology licensing, markets for technology, and open innovation.  相似文献   
96.
In spite of increasing interest in open innovation, discussion about the concept and its potential application to the SME sector has been excluded from mainstream literature. However, given that the argument about the effect of firm size on the effectiveness of innovation is still ongoing, it is worth addressing the issue from an SME perspective. That is the focus of this article, which seeks, firstly, to place the concept of open innovation in the context of SMEs; secondly to suggest the input of an intermediary in facilitating innovation; and finally to report accounts of Korean SMEs’ success in working with an intermediary. The research results support the potential of open innovation for SMEs, and indicate networking as one effective way to facilitate open innovation among SMEs.  相似文献   
97.
We investigate in the context of crowdsourcing how seekers can increase open innovation performance, measured as received solver attention, by making two strategic decisions: selecting innovation tasks that are well suited for crowdsourcing and choosing between the potentials of status signalling through identity disclosure versus enjoying the benefits of anonymity. Drawing on uncertainty reduction theory, we suggest that a well-articulated problem statement reduces uncertainties of potential solvers and increases their willingness to participate. We argue that the ability of seekers to draft high-quality problem statements depends on the distance between the problem domain and their current knowledge stock. An analysis of 637 crowdsourcing projects finds that problem-seeker knowledge distance and received solver attention are curvilinear related such that moderate levels of knowledge distance maximize solver participation. However, high-status seekers who engage in identity-based status signalling are able to benefit from crowdsourcing across all levels of problem-seeker knowledge distance.  相似文献   
98.
This study investigates the effect of project-level collaboration breadth (i.e., the number of collaboration partner types) and collaboration depth (i.e., the intensity of the interactions with these partners) on the incremental and radical innovation performance of innovation projects. The econometric analyses, based on a Community Innovation Study sample of 218 innovation projects conducted in German manufacturing companies, reveal inverted U-shaped relationships between collaboration breadth and radical innovation performance and between collaboration depth and incremental innovation performance. These curvilinear effects speak to the high sensitivity of innovation projects to the extent of collaborative activity, which implies that practitioners should exert caution in managing collaborative innovation projects. This study contributes to the understanding of project-level open innovation and to the overall understanding of the performance effects of innovation collaboration, which, following recent assertions in the literature, could be flawed by analyses conducted at the organizational level.  相似文献   
99.
《Research Policy》2019,48(8):103744
Involving customers is often considered a method to develop products in line with market needs. However, we still need to obtain more insights into the respective drivers and outcomes in the context of (a) the involvement of customers by entrepreneurial ventures and (b) business-to-consumer (B2C) relationships. This study suggests that reward-based crowdfunding can provide a digital opportunity for both areas. We explore how community-derived social capital influences ventures’ approach to engaging backers in new product development and how this, in turn, advances product innovativeness. Using structural equation modeling, we test a unique dataset that combines primary survey and secondary platform data from 710 crowdfunding ventures. Our results provide a nuanced picture of how social capital dimensions are associated with backers as an information source and as co-developers and, indirectly, with new product innovativeness. This study underscores that crowdfunding serves as a digital platform for market-oriented innovation. It contributes empirical insights into how nascent teams can engage the digital crowd in product development via crowdfunding. We also add to social capital literature by illuminating web-mediated mechanisms that transform knowledge into tangible innovation outcomes.  相似文献   
100.
《Research Policy》2019,48(8):103766
Organizations build strategic alliances with other firms with the intent of tapping into partners’ resources and capturing long-term value from these relationships. Such partnerships are typically governed by contractual or equity arrangements with clear mutual obligations. More recently, however, organizations have begun to seek strategic partnerships with open innovation communities, which are novel digitally enabled forms of organizing, and where contractual commitments are not possible. Thus, selecting the right open innovation community as an alliance partner becomes a more complex decision. We follow how the organizational decision makers, in two technology firms that were pioneers of forming strategic alliances with open innovation communities, developed metrics around making such decisions. We build upon Shah and Swaminathan’s (2008) contingency model of alliance partner selection and consider how it applies to the case of partnering with open innovation communities. This framework was useful in to frame our findings, yet our work recognizes and builds upon two key differences: 1) the evaluation metrics used in selecting an open innovation community were more focused on value creation than value capture; and 2) open ecosystem considerations, and not just partner-specific metrics, featured prominently in this type of alliance partner evaluation. We develop the notions of community and ecosystem health to refer to these new metrics.  相似文献   
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