合作共赢发展与个体工作绩效:知识隐藏与证明目标导向的作用

如何抑制个体知识隐藏行为,推动企业发展与个体职业合作共赢有利于组织创新,基于资源保存和目标导向理论,以知识隐藏为中介变量,以证明目标导向为调节变量,构建合作共赢发展对个体工作绩效影响的有调节中介作用模型; 通过281份有效问卷的数据收集、因子分析以及分层回归等,研究中国情境下合作共赢发展通过知识隐藏对个体工作绩效的作用机理,考察证明目标导向的边界作用。研究认为,合作共赢发展对个体工作绩效有显著正向影响,知识隐藏在合作共赢发展与个体工作绩效之间有显著中介作用,证明目标导向调节合作共赢发展和知识隐藏对个体工作绩效的直接作用,证明目标导向调节合作共赢发展通过知识隐藏对个体工作绩效的间接作用; 因此,企业应重视创建上下联通、利益相关的员工职业发展体系,鼓励员工的知识共享行为,营造能够激发员工证明目标导向的组织环境。     

吸收能力、研发合作创新激励与补贴政策

本文在前人的研究基础上建立了一个具有吸收能力的非合作研究与发展博弈模型,比较了有和没有吸收能力情况下的R&D投资影响,结果表明有吸收能力的企业R&D投资要更高,接着探讨了产品替代与互补关系下的技术溢出选择对产业的影响和社会最优选择的R&D投资水平及其补贴激励政策。     

协调产品战略关系的企业兼并研究

本文在产品战略关系内生的基础上,研究了企业兼并所产生的社会效应;通过一个四企业在两市场上竞争模型对企业为获得产品协同的兼并动机进行了分析,结果表明:在本文的假设条件下,当企业兼并存在产品协同效应时,普遍存在兼并动机。     

星星之火，何以燎原——论社会保障国际合作的兴起与发展

由于海外劳工在境外就业期间往往会遭遇社会保障双重缺失、社会保障双重缴费以及社会保障待遇支付障碍等诸多困境,使得西欧国家于20世纪初开始探索开展社会保障国际合作,主要方式是国家之间签署社会保障国际协定,合理地承担和分享海外劳工社会保障的责任与效益。经过一个多世纪的发展,社会保障国际合作开始由探索时期步入成熟时期,不仅在覆盖区域、惠及人群以及主要内容方面实现了由小到大、由少到多和由点到面的发展,而且在合作方式上实现了由双边协定到双边与多边协定并举的发展,进而成为了全球各国维护海外劳工社会保障权益的有效途径。     

Notes on Interval Estimation of Odds Ratio in Matched Pairs under Stratified Sampling

We develop four asymptotic interval estimators and one exact interval estimator for the odds ratio (OR) under stratified random sampling with matched pairs. We apply Monte Carlo simulation to evaluate the performance of these five interval estimators. We note that the conditional score test-based interval estimator with a monotonic transformation and the interval estimator based on the Mantel–Haenszel (MH) type point estimator with the logarithmic transformation are generally preferable to the others considered here. We also note that the conditional exact confidence interval can be of use when the total number of matched pairs with discordant responses is small.     

An empirical Bayes' procedure for ranking players in Ryder Cup golf

We describe a model to obtain strengths and rankings of players appearing in golf's Ryder Cup. Obtaining rankings is complicated because of two reasons. First, competitors do not compete on an equal number of occasions, with some competitors appearing too infrequently for their ranking to be estimated with any degree of certainty, and second, different competitors experience different levels of volatility in results. Our approach is to assume the competitor strengths are drawn from some common distribution. For small numbers of competitors, as is the case here, we fit the model using Monte-Carlo integration. Results suggest there is very little difference between the top performing players, though Scotland's Colin Montgomerie is estimated as the strongest Ryder Cup player.     

Euro area inflation as a predictor of national inflation rates

The stability of inflation differentials is an important condition for the smooth working of a currency area, such as the European Economic and Monetary Union. In the presence of stability, changes in national inflation rates, while holding Euro area inflation fixed contemporaneously, should be only transitory. If this is the case, the rate of inflation of the whole area can also be interpreted as a predictor, at least in the long-run, of the different national inflation rates. However, in this paper we show that this condition is satisfied only for a small number of countries, including France and Italy. Better convergence results for inflation differentials are, instead, found for the USA. Some policy implications are drawn for the Eurozone.     

Reliability of stress–strength model for exponentiated Pareto distributions

In this paper, the reliability of a system is discussed when the strength of the system and the stress imposed on it are independent, non-identical exponentiated Pareto distributed random variables. Different point estimations and interval estimations are proposed. The point estimators obtained are maximum likelihood, uniformly minimum variance unbiased and Bayesian estimators. The interval estimations obtained are approximate, exact, bootstrap-p and bootstrap-t confidence intervals and Bayesian credible interval. Different methods and the corresponding confidence intervals are compared using Monte-carlo simulations.     

Mixed integer (0–1) fractional programming for decision support in paper production industry

This paper presents an effective and efficient method for solving a special class of mixed integer fractional programming (FP) problems. We take a classical reformulation approach for continuous FP as a starting point and extend it for solving a more general class of mixed integer (0–1) fractional programming problems.To stress the practical relevance of the research we focus on a real-life application in paper production industry. The constantly advancing physical knowledge of large scale pulp and paper production did have a substantial impact on an existing DSS in which mixed integer (0–1) fractional programming is introduced. We show that the motivation to solve a real-life fractional programming problem can provide the basis for a new approach in a new context that has an added value of its own, even outside the given application area. We describe the main characteristics of the DSS, the necessity to develop a non-iterative solution procedure and demonstrate both the effectiveness and efficiency of the proposed approach from practical data sets.     

论校企合作关系的性质及其启示

校企是两种不同性质的社会组织,具有差异性和相互依赖性,由此决定校企合作关系是一种交换关系,正确认识这一关系,对于高等院校实现校企有效合作具有重要的启示——遵循交换规律是实现校企合作的关键;高等院校具有企业所需的资源或产品是实现校企合作的必要条件;加强校企沟通是实现校企合作的重要条件。