失败学习对企业绩效的影响机制研究

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。     

期权型资源配置对企业竞争优势的影响

旨在打开资源基础观中组织黑箱，丰富资源配置研究成果，探讨在新竞争时代何种资源配置方式能更有效地促进企业创新特别是探索式创新，从而建立或强化企业竞争优势。通过梳理西方最新研究成果，基于我国146家企业样本，利用回归分析法检验期权型资源配置对企业竞争优势的促进作用，采取因果逐步回归法检验探索式创新在该过程中的中介作用。研究表明：期权型资源配置既能强化企业竞争优势，又能促进探索式创新；探索式创新在期权型资源配置与竞争优势间发挥部分中介作用；相对于创新的资源投入，资源配置方式对竞争优势的作用更强。     

The Local Whittle Estimator of Long-Memory Stochastic Volatility

We propose a new semiparametric estimator of the degree of persistencein volatility for long memory stochastic volatility (LMSV) models.The estimator uses the periodogram of the log squared returnsin a local Whittle criterion which explicitly accounts for thenoise term in the LMSV model. Finite-sample and asymptotic standarderrors for the estimator are provided. An extensive simulationstudy reveals that the local Whittle estimator is much lessbiased and that the finite-sample standard errors yield moreaccurate confidence intervals than the widely-used GPH estimator.The estimator is also found to be robust against possible leverageeffects. In an empirical analysis of the daily Deutsche Mark/USDollar exchange rate, the new estimator indicates stronger persistencein volatility than the GPH estimator, provided that a largenumber of frequencies is used.     

The Importance of Sectoral Differences in the Application of Complementary HRM Practices for Innovation Performance

Recent theoretical and empirical analysis in the field of economic organization has focused almost exclusively on identifying organizational practices and complementarities between such practices, without regard for the type of activity in question. However, organizational theory suggests that more knowledge-intensive production activities often involve higher degrees of strategic uncertainty for firms and performance ambiguity in relation to individual employees. Therefore, the 'organic' or 'clan' form of organization - involving the application of 'new' HRM practices - is expected to perform better within knowledge-intensive sectors of the economy, as compared to other sectors. A sample of 726 Danish firms with more than 50 employees in manufacturing and private services is studied. The results show that HRM practices are more effective in influencing innovation performance when applied together, as compared with situations in which individual practices are applied alone. In other words, organizational complementarities obtain. Moreover, the application of complementary HRM practices is more effective for firms in knowledge-intensive industries ('high' and 'medium' knowledge-intensive industries).     

安徽非公经济发展研究

在当代中国,非公经济发展与改革开放及制度变迁原本是相通的,欠发达地区经济发展的实质就是非公经济的发展;安徽非公经济发展滞后的深层机理在于既定制度格局下的路径依赖。本课题深入分析了既定制度格局影响安徽非公经济发展的机制过程,以此为基础,提出了进一步加快发展的思路和对策。     

Customer Profitability Analysis Reports for Resource Allocation: The Role of Complex Marketing Environments

Most decision making research in management accounting remains focused on cost information in a production context. Little is known on the relevance of customer profifitability analysis (CuPA) reports, which more accurately reflect revenue and marketing support variations acrosscustomers, for marketing decisions. This study uses an experimental design to examine the impact of such reports on resource allocation decisions (that affect the firm's profits) in marketing environments varying in complexity. The main result of the experiment suggests that the value of CuPA reports depends on the complexity of the marketing setting. Only in a highly complex marketing setting do they enhance resource allocation decisions and resultant firm profitability. Conversely, in the simple marketing environment, decision makers can combine their traditional volume-based cost data with other available types of feedback to perform as well as under a more accurate CuPA report. These findings on complexity contrast with those of a prior study in a production context ( Gupta and King, 1997 ). It is argued that improvements in the current research design, in the form of regularly updated profitability reports and concerning accuracy, increase the relevance of CuPA reports in a complex marketing setting.     

Scarcity and appropriative competition

This paper formalizes the commonsensical hypothesis that resource scarcity causes a large allocation of time and effort to appropriative competition. Our main innovation is to model explicitly the positive intertemporal effect of consumption on the probability of survival. The critical assumption is that this effect becomes stronger as resources become scarcer. We also show that anticipated future resource abundance increases the incremental value of survival and, consequently, amplifies the current allocation of time and effort to appropriative competition. Interestingly, if resources are currently scarce, then larger anticipated future abundance can cause a big enough increase in the time and effort allocated to appropriative competition to result in a decrease in the sum of current and expected future utility, a “paradox of anticipated abundance”.     

Theory and practice of value management and its innovation for natural resources from the perspective of sustainable development

The supreme obstacle for sustainable development of natural resources is the scarecity, bottleneck. So how to promote the sustainable utilizing and increase the using efficiency of natural resources is worth studying. This paper suggests that we should improve the model and means of evaluating method and value management based on th~ theory of natural resource compensation. This paper discusses the User Cost Method based on the microeeonomicaspect which can change the evaluating method for natural resources. From the perspective of value managemen model, we should use the User Cost Method to realize the linkage and integration of micro and macro eompensation for natural resources. Based on the evaluating and aecounting idea User Cost Method, this paper presents a theo. retical framework to harmonize and link micro and macro compensation for natural resources. At present, we should seek the new approach and method to manage natural resources, so can we realize the capitalization managemen focusing on the vahte management for natural resources.     

Modelling soccer matches using bivariate discrete distributions with general dependence structure

In this paper copulas are used to generate bivariate discrete distributions. These distributions are fitted to soccer data from the English Premier League. An interesting aspect of these data is that the primary variable of interest, the discrete pair shots-for and shots-against, exhibits negative dependence; thus, in particular, we apply bivariate Poisson-related distributions that allow such dependence. The paper focuses on Archimedian copulas, for which the dependence structure is fully determined by a one-dimensional projection that is invariant under marginal transformations. Diagnostic plots for copula fit based on this projection are adapted to deal with discrete variables. Covariates relating to within-match contributions such as numbers of passes and tackles are introduced to explain variability in shot outcomes. The results of this analysis would appear to support the notion that playing the 'beautiful game' is an effective strategy—more passes and crosses contribute to more effective play and more shots on the goal.     

The Random Walk Hypothesis in the Emerging Indian Stock Market

This paper examines the random walk hypothesis in the emerging Indian stock market using daily data on individual stocks. The statistical evidence in this paper rejects the random walk hypothesis. The results suggest that daily returns earned by individual stocks and by an equally weighted portfolio show significant non–linear dependence and persistent volatility effects. The non–linear dependence takes the form of ARCH–type conditional heteroskedasticity and does not appear to be caused by nonstationarity of underlying economic variables. Though conditional volatility is time varying, it does not explain expected returns.