共查询到16条相似文献，搜索用时 343 毫秒
1.
我国进入经济转型机遇期以来,一种新兴的互联网金融模式—众筹,给初创企业及个人创业者提供了全新的营销方式和筹资渠道。众筹融资绩效不仅是创新项目发起人关注的核心问题,也是众筹平台兴衰的决定因素。本文基于创新扩散理论,对众筹项目特征进行理论抽象,构建创新项目融资绩效的影响机制模型,实证分析相对优势、兼容性和可观察性创新特征对众筹项目融资绩效的影响,并探讨项目状态和发起人信息披露在此影响机制中的调节效应。研究结果表明：众筹项目的相对优势和兼容性特征均正向影响众筹项目融资绩效;项目状态和发起人信息披露均正向调节相对优势与项目融资绩效的关系,而负向调节可观察性与项目融资绩效的关系;仅发起人信息披露负向调节兼容性与项目融资绩效的关系。 相似文献
2.
3.
提升消费者价值感知以吸引消费者投资,是广大众筹创业者解决融资困难问题的关键。基于线索理论,探究直接影响消费者感知价值的低范围产品线索如何影响众筹融资绩效以及高范围创业者线索的调节作用,基于国内主要产品众筹平台之一摩点网的2 895项众筹成功项目开展实证分析。研究结果发现,引起消费者功能性、象征性、体验性价值推断的产品可观察性、稀缺性、体验性线索均能促进众筹融资绩效;创业激情促进产品可观察性、稀缺性与众筹融资绩效的正相关关系;创业经验削弱产品稀缺性与众筹融资绩效的正相关关系,促进产品体验性与众筹融资绩效的正相关关系。基于众筹情境,区分了线索类型和内容,揭示了产品价值线索对众筹融资绩效的关键作用以及高范围线索对低范围线索预测力的影响,同时探索了众筹融资绩效的最佳观测指标组合。研究发现为广大创业者解决融资困难难题提供了操作思路。 相似文献
4.
众筹是推动我国国民经济创新发展的重要手段,而较低的成功率成为制约众筹发展的主要因素。基于此,分析了众筹融资模式和融资决策的影响因素,运用系统动力学方法构建了回报类众筹融资决策系统动力学模型,使用vensim PLE软件实现了奖励式、股权式和债权式3类众筹项目的系统仿真,分析不同绩效参数对回报类众筹项目融资成功的影响。结果表明:众筹项目类型不同,绩效指标的效果也不同;对于股权类和债权类众筹项目,高质量的项目展示可以有效促进众筹项目融资成功;对于奖励类众筹项目,对产品或服务的满意程度,较低的投资金额,会直接影响投资人的投资行为;众筹平台的推广能力会带来投资者对平台的关注,但是不会引导投资者直接投资平台的项目。 相似文献
5.
互联网与民间资本的结合产生了大众筹资模式(简称众筹),资助人不仅在众筹网站为创新项目提供资金,而且主动辅助项目的执行。如何利用资助人的公民行为提高项目实施绩效是一个重要的学术问题。本文基于价值共创、价值与满意度方面理论,采用问卷调查法研究资助人公民行为对满意度的作用,以及公民行为的影响因素。主要有三点贡献:1首次从价值共创角度分析众筹项目的执行过程;2揭示了资助人公民行为、社区收益与满意度的关系;3验证了感知的项目风险、项目新颖度、社会责任感对资助人公民行为的影响。 相似文献
6.
7.
8.
作为互联网时代下金融创新的重要产物,众筹逐渐受到学术界的关注。论文基于知识图谱理论,利用histcite、citespace软件,绘制众筹已有研究文献间的引文关系图、关键词共现知识图谱及关键词战略图,对众筹领域已有文献间引文关系,研究热点及趋势进行分析。研究发现：（1）学术界对于众筹的研究,仍处于初级阶段,集中于众筹运作形式、参与人特征等问题的定性分析;（2）参与人的动机、众筹中风险的识别、众筹平台的运行模式是目前研究热点;（3）众筹模式的适用性、众筹模式下的信任机制、利益分配机制等问题是众筹研究的发展趋势。 相似文献
9.
文中基于"众筹网"的样本数据对奖励型众筹项目筹资完成率的影响因素进行了实证分析,结果显示:目标筹资额与筹资完成率显著负相关;项目发起地经济发展状况与筹资完成率之间无显著关系,但在公益型项目中显著为负;项目更新次数、项目评论数、项目支持人数等互动因素均与筹资完成率显著正相关;项目宣传视频与筹资完成率之间无显著关系;项目回报时间对筹资完成率无显著影响,但项目回报档次存在显著的正向影响。本研究带来如下启示:首先,互联网众筹融资中应更加关注地域对社会关系构建的影响,而非其经济发展状况的影响。其次,发起方向投资者传递项目质量信号时,其效果还取决于接收方使用该信号的效率高低。 相似文献
10.
利用在众筹网上提取的2013~2015年的众筹融资项目的微观数据,借助于多项Logit模型,将不同众筹项目的融资效率的离散化指标作为回归模型的因变量,分析决定众筹项目成功与否的关键因素对众筹项目融资效率的影响.研究结果表明,多项Logit模型能够很好地反映网络互动、投资阈值、质量信号与筹资目标和项目融资效率的关系,实证结果发现众筹项目融资效率会随着四大维度因素的不同而发生变化. 相似文献
11.
互联网众筹可视为一种大众参与和共同创造的新兴创业孵化范式。本文基于社会资本理论,构建了异质性社会资本影响互联网众筹绩效的理论模型。特别的,注意到发起人两种不同的社会资本,即“社交资本”和“社群资本”,分别具有“对人不对事”和“对事不对人”的特质,因而在众筹事前风险甄别和事后监督惩罚中具有不同作用机理。最后,采集“众筹网”微观数据对理论假设进行检验。研究结果表明：1）发起人的社群资本和社交资本均对众筹绩效有正向影响;2）相对于社交资本,发起人的社群资本对众筹绩效的影响更加显著。 相似文献
12.
13.
Innovation is the primary driving force for development, the important support for enterprises to maintain market competitive advantage and even the major source of national competitiveness. Facts show that the industrial competitiveness of the world′s economic powers is mainly reflected in the strong innovative enterprises. This means that the future of China′s economy will largely depend on whether it has a batch of innovative enterprises with core competitiveness. Although many domestic enterprises have gradually realized the importance of innovation, the overall level of innovation is still not high. Therefore, the realization of enterprise innovation plays a vital role in China′s future development. Clarifying the basic concept and influencing factors of enterprise innovation behavior is the key to improve the ability of enterprise innovation. With the in-depth research on the field of enterprise innovation, scholars at home and abroad have a deeper profound understanding of innovation, which has yielded fruitful results and formed many schools. However, the existing research topics are diverse. And there is an urgent need to systematically sort out the relevant theories of enterprise innovation behavior, point out the deficiencies in the current research and look forward to new research ideas.
Firstly, this paper sorts out the definition and category of enterprise innovation behavior based on the study of 389 related literature. Secondly, the main measurement methods of enterprise innovation behavior are summarized, namely innovation input and innovation output. Thirdly, this article studies the main influencing factors of enterprise innovation behavior from the organizational level and the network level. Finally, the following potential research directions in the future are proposed based on the analysis of existing research limitations:
(1)We should clarify the definition of enterprise innovation behavior. The standardization of definition and classification is the cornerstones to study the internal mechanism of enterprise innovation behavior. On this basis, we should pay attention to the possibility of the parallelism of multiple enterprise innovation behaviors and the balance of their mutual relations, and guide healthy development of the theories related to enterprise innovation behaviors.
(2)We should expand the research perspective of enterprise innovation behavior and conduct reasonable cross-level research. At present, although there have been literatures concerning the study of multi-dimensional influencing factors, few scholars have paid attention to the interaction among these factors. In the future, we should try to analyze the relationship between factors at different levels and study the influence mechanism of enterprise innovation behavior at different levels.
(3)To help domestic enterprises achieve faster development in innovation practice, we should deepen the research on enterprise innovation behavior in the context of China starting from the actual situation, explore the influencing factors with Chinese characteristics, summarize the innovation characteristics of Chinese enterprises, and construct the theory of "Chinese-style innovation".
(4)We should make reasonable use of dynamic research, improve the accuracy of research results, and promote the relevant theories of enterprise innovation. Influencing factors often have a lagging effect on enterprise innovation. In the future, the collection and use of panel data should be strengthened to help understand the cumulative effect and internal mechanism of influencing factors on enterprise innovation behavior more clearly. 相似文献
14.
集群创新系统中知识网络的界定及其运作机制研究 总被引：3，自引：0，他引：3
从评析研究集群创新系统中知识网络的相关文献入手,对集群创新系统中的知识网络进行了深入分析与界定.研究表明,集群创新系统中知识网络对于集群创新系统意义重大,该网络的学习具有集群组织间学习与集群个人途径组织学习两种模式.以直连接表征集群组织间学习以体现组织结点在知识网络活动中存在强联系,以水波状连接表征集群个人途径组织学习以体现此类学习的广泛性,则是一种更为合理的表征形式.两种连接表征的学习活动相互促进. 相似文献
15.
《Information processing & management》2022,59(3):102942
In recent years, charities have become involved in many online medical crowdfunding projects as fundraising agents. To reveal whether and why the involvement of charities influences medical crowdfunding performance, this study conducts a sequential exploratory-explanatory research design with two main studies. By collecting 22,805 projects from the Chinese Tencent GongYi platform, the first study utilizes propensity score matching (PSM) to investigate which type of initiators (individuals vs. charities) have better crowdfunding performance. The results show that the initiator type is an essential predictor of medical crowdfunding, and projects launched by charities keep better performance than those by individuals. Upon the findings of the first study, the second study is performed to inspect why charities make more contributions than individual fundraisers. The impacts of charities’ reputations and social capital on medical crowdfunding performance are examined based on the elaboration likelihood model (ELM) and social capital theory. The results suggest that charities’ reputations and multidimensional social capital play essential roles in endorsing crowdfunding fundraising (fundraising performance) and appealing to donors’ attention (participation performance). In addition, the disease type moderates the relationship between charities’ reputation or social capital and crowdfunding performance. Our research provides in-depth insight into the impact of charities’ involvement on medical crowdfunding and generates important implications for medical crowdfunding practices. 相似文献
16.
创新协同不仅会提升企业创新网络的创新绩效,还会提高企业创新网络组织的稳定性,因此研究创新协同的影响因素对于企业创新网络有着非常重要的意义.在文献梳理的基础上,根据企业创新网络的特点和创新过程,从个体层、节点间关系层、企业创新网络内环境、企业创新网络外环境4个维度归纳提炼创新协同的11个主要影响因素,并运用解释结构模型将影响因素划分为4个层级,指出创新协同影响因素的影响路径为:企业创新网络外部环境——个体层因素——企业创新网络内部环境——节点间关系层因素.政府主导在所有影响因素中起关键作用,通过对市场调节与政策制度影响资源配置和协同创新政策支持进而影响创新协同. 相似文献