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1.
技术转移是将社会科技资源转化为实体经济效益的重要途径。当前,我国研究型大学技术转移渠道不畅、技术转移绩效不高、大学科技成果成功产业化“最后一公里”问题凸显。基于现实需求和研究缺口,构建组织模块化对研究型大学技术转移绩效影响的理论模型。在此基础上,收集我国38所研究型大学样本数据,采用SPSS24.0和AMOS软件进行结构方程路径分析,论证和检验组织模块化对于研究型大学技术转移绩效的影响机制。结果表明:组织模块化对研究型大学技术转移绩效具有显著正向影响;技术创新能力在组织模块化与技术转移绩效之间起显著中介作用;知识共享的调节作用主要体现在组织模块化独立性、响应性与技术创新能力之间的关系上,其对组织模块分工性与技术创新能力关系的影响作用不显著。 相似文献
2.
基于动态能力理论和权变理论,以IT-业务融合、双元环境为调节变量,探究大数据能力与企业创新绩效间的作用关系,结果发现:大数据能力对创新绩效具有正向促进作用;IT-业务融合调节大数据能力与创新绩效的关系,IT-业务融合水平越高,大数据能力对创新绩效的正向影响就越显著;双元环境能够调节大数据能力与创新绩效间关系。其中,环境动态性在大数据能力与创新绩效关系间起正U型调节作用,而环境竞争性在大数据能力与创新绩效关系间起倒U型调节作用。从内外部情境视角解释大数据能力的创新转化,对中国企业大数据应用具有指导意义。 相似文献
3.
High firewood consumption for heating produces high levels of pollution in cities in central and southern Chile, with serious consequences for health and quality of life. Energy efficiency measures (EEMs) have been identified as the best strategy to reduce air pollution and maximize social benefits. However, their adoption has been slow. The objective of this article is to investigate household preferences for financial incentives needed to promote private investments in EEMs in Central-Southern Chilean households and study the role of energy savings and the uncertainty about potential savings in the investment decision, with the aim of finding solutions to increase the adoption of these technologies. We use a choice experiment to explore the trade-off between the investment costs, financial instruments, energy savings, and the uncertainty about achieving the theoretical savings provided by engineering and architectural models. The results show that financial instruments play the most important role in this decision, followed by the savings achieved by the retrofit. Householders prefer to finance their investments with a mix of their personal resources and medium-term credits, trying to avoid long-term commitments. Although uncertainty was found to be a significant variable, it seems to play a small role in the investment decision. 相似文献
4.
已有文献认为失败学习对企业绩效具有重要作用,但失败学习通过何种途径促进企业绩效提升的研究并不完善。基于失败学习理论,引入资源拼凑和机会识别作为中介变量,构建失败学习影响企业绩效的多路径模型,探索失败学习对企业绩效的驱动路径及内在机理。实证结果表明:失败学习对企业绩效具有显著积极作用,资源拼凑和机会识别分别在失败学习与企业绩效之间起中介作用,资源拼凑和机会识别在失败学习对企业绩效驱动过程中存在链式中介作用,战略柔性能够强化资源拼凑与企业绩效之间的关系,并正向调节资源拼凑的中介作用。研究结论拓展了失败学习对企业绩效的影响路径,对企业复苏和成长具有重要启示。 相似文献
5.
The global financial crisis since 2008 revived the debate on whether or not and to what extent financial development contributes to economic growth. This paper reviews different theoretical schools of thought and empirical findings on this nexus, building on which we aim to develop a unified, microfounded model in a small open economy setting to accommodate various theoretical possibilities and empirical observations. The model is then calibrated to match some well-documented stylized facts. Numerical simulations show that, in the long run, the welfare-maximizing level of financial develop is lower than the growth-maximizing level. In the short run, the price channel (through world interest rate) dominates the quantity-channel (through financial productivity), suggesting a vital role of international cooperation in tackling systemic risk of the global financial system. 相似文献
6.
In order to challenge the existing literature that points to the detachment of Bitcoin from the global financial system, we use daily data from August 17, 2011–February 14, 2020 and apply a risk spillover approach based on expectiles. Results show reasonable evidence to imply the existence of downside risk spillover between Bitcoin and four assets (equities, bonds, currencies, and commodities), which seems to be time dependent. Our main findings have implications for participants in both the Bitcoin and traditional financial markets for the sake of asset allocation, and risk management. For policy makers, the findings suggest that Bitcoin should be monitored carefully for the sake of financial stability. 相似文献
7.
基于嵌入性视角,分别引入知识转移、合作模式作为中介变量和调节变量,深入探究关系质量影响企业知识创造绩效的内在机理。利用277份来自全国多地的制造业及高新技术企业调查问卷,采用多元回归方法进行实证研究。结果表明:经济型和社会型关系质量均正向影响企业知识创造绩效;社会型关系质量通过元素知识和架构知识转移正向影响企业知识创造绩效。在契约治理模式下,经济型关系质量更倾向于通过元素知识转移正向影响企业知识创造绩效;在股权治理模式下,社会型关系质量更倾向于通过架构知识转移正向影响企业知识创造绩效。 相似文献
8.
《Business Horizons》2019,62(4):427-436
While financial reporting standards under U.S. GAAP and IFRS are fundamentally similar, differences do exist that may affect our analysis of company financial statements. This is particularly true when comparing a U.S. company following U.S. GAAP to a firm that uses IFRS. To illustrate, we compare research and development (R&D) accounting methods under both sets of standards and illustrate how they affect the analysis of financial results of firms in a specific industry—automotive manufacturers. Our results provide insight into settings in which differences in R&D accounting may have the greatest impact on financial analysis. 相似文献
9.
Thi Thu Tra Pham Thai Vu Hong Nguyen KienSon Nguyen 《Applied economics letters》2019,26(13):1133-1137
The idea of financial inclusion has recently been discussed as one of the key strategies to enhance economic development (World Bank 2014). We move this discussion forward by examining if bank competition is a crucial component enforcing financial inclusion, which is arguably a finance supply-side driven process. In this study, we compute the financial inclusion index built on Sarma (2008) approach to better reflect banks’ willingness and capability to provide financial services. Applying System Generalized Method of Moments to the panel of 93 countries, we find that bank competition promotes financial inclusion. 相似文献
10.
This paper proposes a multivariate distance nonlinear causality test (MDNC) using the partial distance correlation in a time series framework. Partial distance correlation as an extension of the Brownian distance correlation calculates the distance correlation between random vectors X and Y controlling for a random vector Z. Our test can detect nonlinear lagged relationships between time series, and when integrated with machine learning methods it can improve the forecasting power. We apply our method as a feature selection procedure and combine it with the support vector machine and random forests algorithms to study the forecast of the main energy financial time series (oil, coal, and natural gas futures). It shows substantial improvement in forecasting the fuel energy time series in comparison to the classical Granger causality method in time series. 相似文献