基于企业生命周期的中小企业人力资源管理研究

随着知识经济时代的到来,人才成为企业获取竞争优势的关键,如何通过人力资源管理促进企业成长日益成为中小企业经营管理者关注的焦点。中小企业人力资源管理不正规、临时性和非专业化的特征使其成长过程有着自身的特殊性。本文通过文献总结,归纳了目前的研究进展;在中国情境下,从中小企业生命周期的视角,分析了我国中小企业人力资源管理成长的需求和现状;最后对中小企业人力资源成长三阶段面临的问题分别提出了应对建议。     

我国中小企业板上市公司资本结构与企业价值关系研究

企业资本结构理论关于企业价值与资本结构的论述是以成熟资本市场为前提,而能在公开资本市场上融资的一般为大型企业：我国于2004年开辟了中小企业板块,使得部分中小企业可以在资本市场上融资,资本结构理论是否适用于这类企业,本文以中小企业板上市公司为对象对中小企业资本结构与企业价值关系进行实证研究.     

耐用品及其易耗部件耐用度对双寡头企业均衡产量的影响研究

为了研究耐用品双寡头企业的竞争策略,基于Bulow的耐用度选择模型,建立了存在易耗部件情况下的双寡头耐用品企业两期需求一价格模型;求得了双寡头耐用品企业租赁情况下的两期均衡产量;并运用MATLAB软件对均衡解进行仿真,分析了双寡头耐用品企业自身和对手的耐用品耐用度及易耗部件耐用度对均衡产量影响。     

多企业产量策略多维博弈研究

根据现实社会经济活动中多企业多维博弈现象,首先探讨多个企业关于具有需求替代性产品产量策略的静态和动态多维博弈问题,然后求出其多维均衡结果,并通过算例对比多维博弈与单独博弈的均衡结果。分析表明：在产量策略多维动态博弈中,领头厂商将选择更高的产量策略,获得比尾随厂商更多的利润,即领头厂商具有先动优势;多维博弈下的多维Nash均衡策略优于单独博弈下的Nash均衡策略。     

行业、战略、资源能力与企业间绩效差异关系研究综述

本文对近年来国外学者在企业间绩效差异来源方面的相关研究进行了梳理,并从全样本与样本分组两个视角出发,对行业、战略、资源能力与企业间绩效差异关系的相关研究成果进行了分类总结与比较分析.在此基础上,还得出应逐步加强对“效应有效性条件”问题进行研究的结论.     

国防风险投资:美国的探索与启示

为更迅速地利用工商业界的技术成果,促进国防科技创新,降低国防科技发展成本,美国在国防科研投入不断下降的背景下,对国防风险投资进行了探索。本文对美国国防风险投资兴起的动因和实践探索进行了分析,并对美国对风险投资在国防科研领域的尝试进行了追溯;综述了美国理论界对国防风险投资的研究成果,并对我国借鉴风险投资发展武器装备提出了建议。     

Can We Predict the Financial Markets Based on Google's Search Queries?

We look into the interaction of Google's search queries and several aspects of international equity markets. Using a novel methodology for selecting words and a vector autoregressive modeling approach, we study whether the search queries of finance‐related words can have an impact on returns, volatility of returns and traded volume in four different English‐speaking countries. We identify several words whose search frequency is associated with changes in the dependent variables. In particular, we find that increases in search queries including the word stock predict increased volatility and decreased index returns over the next week. On top of that, we investigate the performance of a market‐timing strategy based on the search frequency of this word and benchmark it against random words from the Word‐Net database and a naive buy‐and‐hold strategy. The results of this empirical application are positive and particularly stronger during the global crisis of 2009. Copyright © 2016 John Wiley & Sons, Ltd.     

Can urban coffee consumption help predict US inflation?

Motivated by the importance of coffee to Americans and the significance of the coffee subsector to the US economy, we pursue three notable innovations. First, we augment the traditional Phillips curve model with the coffee price as a predictor, and show that the resulting model outperforms the traditional variant in both in‐sample and out‐of‐sample predictability of US inflation. Second, we demonstrate the need to account for the inherent statistical features of predictors such as persistence, endogeneity, and conditional heteroskedasticity effects when dealing with US inflation. Consequently, we offer robust illustrations to show that the choice of estimator matters for improved US inflation forecasts. Third, the proposed augmented Phillips curve also outperforms time series models such as autoregressive integrated moving average and the fractionally integrated version for both in‐sample and out‐of‐sample forecasts. Our results show that augmenting the traditional Phillips curve with the urban coffee price will produce better forecast results for US inflation only when the statistical effects are captured in the estimation process. Our results are robust to alternative measures of inflation, different data frequencies, higher order moments, multiple data samples and multiple forecast horizons.