产品创新对生产率的效应分析——以知识型企业为例

在复杂多变的环境下,知识型企业的产品创新影响企业生产率的提高,因此两者之间的效应分析是重要的研究课题。结论证实产品创新与生产率之间呈现出U型非线性关系,其中产品创新主要分为探索式创新和开发式创新两种形式。研究表明,在一个产品创新周期的初始阶段,创新活动以探索式为主,由于新知识领域中的组织学习成本等问题,生产率会下降,探索式创新与生产率之间表现为负效应关系;随着企业效益的增加和新知识的巩固,创新活动以开发式为主,在吸收能力的作用下,开发式创新行为会促进生产率的进一步发展,二者表现为正效应关系。     

物料配比中的微机控制系统

介绍了由微机、ＡＤＣ芯片、Ｉ／Ｏ芯片及其他辅助芯片来实现颗粒物料配比的一种方法。     

陕西高校实施《国家学生体质健康标准》的现状分析

在对《国家学生体质健康标准》科学释义的基础上,运用多种科学研究方法对陕西高校实施《国家学生体质健康标准》的现状进行调查,分析实施过程中存在的主要问题,进而提出一些有助于更好实施《标准》的对策与建议。     

基于.NET的XML Web服务安全性

Web服务使得基于组建开发与网络相结合并且成为了微软.NET编程模型的基石。而无论是对机构还是他们的客户而言,通过安全的应用程序模型以确保Web服务的完整性、机密性和安全性是非常重要的。从身份验证、授权、加密等三方面研究了XML Web服务的安全性。     

浅谈仿真技术在高校新校区建筑施工中的应用

通过对虚拟仿真技术的概念及高校新校区建筑施工的特点的阐述,就虚拟仿真技术在新校区建筑施工中的应用进行了探索分析。     

Telehealth services evaluation: a combination of SERVQUAL model and importance-performance analysis

Telehealth services provide a means of monitoring a patient’s vital signs through the use of equipment or mobile devices and have the potential to extend clinical outreach to more patients regardless of geographical locations. However, patient acceptance is essentially important for the success of telehealth implementations. Thus, it is of interest to evaluate patients’ attitudes and perceptions toward the use of telehealth services. This study combines service quality model and importance-performance analysis to evaluate telehealth services provided by a case hospital. The results show that six items belong to major weaknesses, which should be addressed immediately in order to reduce patients’ complaints. In contrast to major weaknesses, there are seven items classified as major strengths, which should be maintained to provide telehealth service excellence in order to establish better and longer relationships with patients in the long-term perspectives.     

随风潜入夜润物细无声——亲历英国纳税环境所感

人是社会性动物,会因为所处的环境而表现出不同的行为。入乡随俗就有这个意思。生活在中国的人们,越来越多地读到报刊上评论中医衰落的文字,却没有意识到,其实中医的理念早已深入生活的每个角落:     

A State‐Price Volatility Index for China's Stock Market

This study derives a volatility index for China's stock market with similar properties to the Chicago Board Options Exchange Volatility Index (the ‘VIX’). A long‐term benchmark of historic volatility expectations is here presented for China from 1996 to 2011, called the ‘China‐ State‐Price Volatility (SPV)’. Construction of this index involves the use of SPV methodology, using implied volatility calculated from options on the Hang Seng China Enterprise Index (HSCEI). Historic open–high–low–close volatility on the Shanghai Composite Index (SHCI) is also used to extend the benchmark prior to the availability of HSCEI options data. The China‐SPV successfully forecasts realised volatility for the Shanghai Stock Exchange. It also serves as a ‘fear gauge’ in that it monitors daily movements of the SHCI in the same way that the VIX monitors the S&P 500 index (Whaley, 2009). The China‐SPV evidences an increasing relation with the US market in terms of the dynamic correlation of levels and changes with the VIX since 2004.