高管过度自信、研发投入跳跃与企业绩效——来自中国上市公司的经验证据

基于间断平衡理论和高阶梯队理论，以2007-2017年中国沪深两市902家制造企业为样本，实证分析研发投入跳跃对企业绩效的影响以及高管过度自信的调节作用。结果显示：研发投入正向跳跃和负向跳跃均有助于提升企业绩效，高管过度自信正向调节研发投入跳跃与企业绩效间的关系。引入高管过度自信这一重要高管特征作为调节变量，有助于重新认识管理者心理偏差对企业创新行为和绩效的影响，较好地弥补了研发投入跳跃对企业绩效影响机制的研究空缺，丰富了创新间断平衡理论研究。研究表明，企业应重视高管心理特征的影响并结合自身实际情况，合理选择研发投入策略以改善企业绩效。     

IT cost benchmarking: Drawing the right conclusions

The use of managerial control ratios for benchmarking IT costs is widely accepted. This installment of Accounting Matters informs CIOs about IT managerial control ratios and the assumptions underlying the use of these ratios in IT cost benchmarking. Incorrect use of these ratios and violation of the assumptions can lead to faulty inferences and costly mistakes. This article proposes a technique for benchmarking IT costs to draw the right conclusions from the data.     

Consideration of technological and environmental heterogeneity in cost efficiency analysis

In order to evaluate and compare the efficiency levels across banking industries, we adopt the meta-frontier model that can assess the technological difference among countries. Given the importance of country specific conditions, we include in our analysis the different specificities of each country to incorporate the technological as the environmental differences in the evaluation of banking efficiencies. Using data on the banking industries of several countries in the MENA region, over the period 1991–2011, the results of the efficiency scores corrected by the technological and environmental gap led us to conclude that Egyptian banks are the most efficient in terms of cost compared with banks in other countries. Egyptian banks enjoy a very favourable banking technology. Our results support the hypothesis that traditional techniques of efficiency analysis based on the efficiency scores of a specific and pooled frontier tend to mystify efficiency levels and may incorrectly identify efficient banks. This paper contributes to the efficiency literature by incorporating technological and environmental heterogeneities in the evaluation of efficiency. This helps to characterize the production process of a bank and provides common standards by which the efficiencies of banks in different countries can be compared in a meaningful way with each other.     

互联网能力与知识能力交互效应对知识创造绩效的传导机制:一个被中介的调节效应模型

整合资源基础观、知识基础观和动态能力理论，探讨互联网背景下互联网能力、知识能力两种企业内部因素交互作用对知识创造绩效的影响过程，尤其关注了具有前瞻性与反应性特征的战略柔性在这一过程中的重要作用，从而构建了一个被中介的调节效应模型。基于我国399家企业调研数据发现，互联网能力、知识能力均对战略柔性有显著正向影响；互联网能力与知识能力的交互作用通过战略柔性的中介机制促进企业知识创造绩效提升，即存在被中介的调节效应。在理论上，丰富了资源基础观和知识基础观在组织竞争优势构建方面的前因研究，在实践上，为处于互联网背景下的企业有效提升知识创造绩效提供了实践参考。     

创业情境下管理强度与创业绩效关系探讨:团队合作的中介效应

创业活动以其良好的经济与社会效益越来越受到重视,创业过程的核心是创业要素之间的动态匹配。为诠释创业理念在创业者和创业成员之间的匹配,结合创业者特质和成熟企业管理制度演化两种理论视角,提出了创业情境下管理强度的概念,并构建了其与团队合作、新创企业绩效之间的理论模型。通过107份预测试问卷和171份正式问卷进行实证分析,结果发现:创业管理强度可以被划分为独特性、统一性、共识性3个维度;创业管理强度对创业企业绩效具有显著正向影响,这种正向影响机制可以从团队合作方面得到解释,即团队合作在创业管理强度和创业企业绩效之间发挥中介作用。     

嵌入性创新网络与科技型小微企业创新绩效:网络能力中介效应研究

科技型小微企业嵌入于创新网络中,通过自主性发挥网络构建与管理能力,进一步分享创新网络资源,提高创新实力。基于中国软件谷(南京)及相关创业孵化园246家软件企业问卷调查结果,运用SPSS、LISREL软件进行统计分析,实证研究网络能力对嵌入性创新网络与科技型小微企业创新绩效的中介效应。结果表明:(1)嵌入性创新网络稳定性有利于科技型小微企业创新绩效的提升;(2)嵌入性创新网络强度越大,科技型小微企业网络能力越强;(3)科技型小微企业网络能力越强,创新绩效提升越明显;(4)科技型小微企网络能力有助于促进嵌入性创新网络对创新绩效的提升作用。     

创新驱动先前实践对建设目标的影响

基于各省出台的创新型省份建设方案，运用省级政府面板数据，实证研究了创新型省份建设对预期建设目标的影响。结果发现，创新型省份建设仅对可操控程度较高、完成难度较低的建设目标具有显著影响，而对可操控程度较低、完成难度较高的建设目标无显著影响；高强度激励对建设目标实现的影响作用较大。公开建设方案、科学设定建设目标、促进多部门参与、建立监督和评估机制是改进创新型省份建设和推进创新驱动发展战略实施的重要突破口。     

The effects of activity and geographic diversification on performance: Evidence from French financial institutions

Our paper studies the impact of activity and geographic diversification on financial institution's performance. These diversification strategies are complementary in generating performance and may provide important implications. Moreover, we investigate the interaction between these two strategies. Our dataset comprises 4532 years observations over the period of 2002 to 2012 and covers 412 French financial institutions. We find a negative relationship between diversification and performance. However, this relationship is significantly positive when institutions implement a dual diversification strategy. In this paper, we propose a classification of French financial institutions. For generalists’ banks and cooperative banks, we find similar results to those of the entire sample. Furthermore, for specialized financial institutions, the relationship is positive and significant. Our findings are robust to the potential endogeneity problem and to measures of diversification and performance.     

Wheat variety yield data: Do commercial and public performance tests provide the same information?

Wheat yields from reported performance test results are of economic importance to wheat producers, since their profits depend on selecting the optimal variety for their location. However, our data shows differences in absolute and relative wheat yields between commercial and public wheat breeding program's performance test data in Kansas. Newly available data are used to test if the difference in yields arose from potential selectivity bias, and to determine the contribution of private and public wheat breeding programs to varietal yield improvement during 2007–2012. Both Heckman selection models and multiple regression showed no statistical evidence of the potential presence of selectivity bias rather, managerial practices, agronomic conditions, field location, and inherent genetic traits of the seed variety were identify as the source of yield differences.     

Tales from tails: On the empirical distributions of forecasting errors and their implication to risk

When evaluating the performances of time series extrapolation methods, both researchers and practitioners typically focus on the average or median performance according to some specific error metric, such as the absolute error or the absolute percentage error. However, from a risk-assessment point of view, it is far more important to evaluate the distributions of such errors, and especially their tails. For instance, a lack of normality and symmetry in error distributions can have significant implications for decision making, such as in stock control. Moreover, frequently these distributions can only be constructed empirically, as they may be the result of a computationally-intensive non-parametric approach, such as an artificial neural network. This study proposes an approach for evaluating the empirical distributions of forecasting methods and uses it to assess eleven popular time series extrapolation approaches across two different datasets (M3 and ForeDeCk). The results highlight some very interesting tales from the tails.