Linking Transformational Leadership and Team Performance: A Conflict Management Approach

This study develops a model in which transformational leadership affects team coordination and performance through the conflict management approaches adopted by team members. Data were collected from three different sources in a lagged design from 108 teams in a large enterprise in China. Results support the reasoning that transformational leadership promotes team coordination and thereby team performance by encouraging teams to adopt a cooperative, as opposed to competitive, approach to conflict management. These results suggest that transformational leadership may help team members manage conflicts for their mutual benefit. This is an important mechanism through which transformational leadership enhances team coordination and, in turn, achieves higher team performance.     

Two-stage non Gaussian QML estimation of GARCH models and testing the efficiency of the Gaussian QMLE

In generalized autoregressive conditional heteroskedastic (GARCH) models, the standard identifiability assumption that the variance of the iid process is equal to 1 can be replaced by an alternative moment assumption. We show that, for estimating the original specification based on the standard identifiability assumption, efficiency gains can be expected from using a quasi-maximum likelihood (QML) estimator based on a non Gaussian density and a reparameterization based on an alternative identifiability assumption. A test allowing to determine whether a reparameterization is needed, that is, whether the more efficient QMLE is obtained with a non Gaussian density, is proposed.     

How Sensitive Is Investment to Cash Flow When Financing Is Frictionless?

I analyze the sensitivity of a firm's investment to its own cash flow in the benchmark case where financing is frictionless. This sensitivity has been proposed as a measure of financing constraints in earlier studies. I find that the investment–cash flow sensitivities that obtain in the frictionless benchmark are very similar, both in magnitude and in patterns they exhibit, to those observed in the data. In particular, the sensitivity is higher for firms with high growth rates and low dividend payout ratios. Tobin's q is shown to be a more noisy measure of near-term investment plans for these firms.     

Der Ausbau der Hochschulen muss zügig kommen

Die Bedeutung des Humankapitals für das künftige Wirtschaftswachstum ist allgemein anerkannt. Gleichzeitig sto?en steigende Studienanf?ngerzahlen auf knappe Bildungsbudgets in den Bundesl?ndern. Wie wird sich die Zahl der Studienanf?nger bis 2020 entwickeln? Wird es eine entsprechende Nachfrage nach Hochschulabsolventen geben? Welcher Kapazit?tsaufbau ist an den Hochschulen erforderlich und was wird er kosten?     

Salesperson's innovation resistance and job satisfaction in intra-organizational diffusion of sales force automation technologies: The case of South Korea

One of the rapidly growing areas in industrial marketing is the application of sales force automation (SFA) technologies to help improve the efficiency of the sales force task. What is often overlooked is that there are some potential negative effects related to SFA technologies that arise when these innovations are forcefully adopted on the individual salesperson. This study empirically examines the psychological and social antecedents of salespeople's resistance toward SFA technologies in South Korea. Unlike previous studies that only looked at adoption, this studies adds to the literature on SFA technologies by looking at resistance toward innovation in the post-adoption or intra-organizational diffusion stage. This study looks at the direct and indirect relationships between innovation resistance and some key constructs such as job satisfaction, job performance, self-efficacy, group-efficacy, innovativeness, and peer usage. This study represents also one of the very few empirical studies conducted on sales force behavior in South Korea and as such may offer some insights on sales force management in collectivist cultures.     

The Disciplinary Effect of the Single Market on Swedish Firms

In the 1980s it became increasingly clear that the European Community market was still segmented by national borders because of non-tariff barriers to trade. A major objective of the Single Market Program in 1992 was to remove these barriers, thereby enforcing intra-union competition. In this paper, a panel of Swedish firm-level data is used to evaluate whether domestic market power has been curtailed as a consequence of the SMP and of the Swedish membership in the European Union in 1995. Evidence of increased competition emerges, as price-cost margins have declined in industries with high non-tariff barriers prior to 1992. JEL Classification Numbers: F15, L11, C33     

现代农业科技创新及推广机制

利用针对四川省548户农户所做调研的统计数据,分析了我国农户获得农业科技的途径、曾获得的农业科技支持、最希望获得的信息和技术、对各种推广模式的评价等信息。利用加权评分模型总结出优化的现代农业科技创新及推广机制。在总结我国农业科技创新存在问题的基础上,提出对策建议。     

建设现代新型国有森工企业对策初探

对建设现代新型国有森工企业的对策进行了探讨。认为:只有注重在建设大美、富强、文明、和谐和幸福森工企业上下功夫,才能最终实现全面建设现代新型国有森工企业的目标。大美的核心是培育好森林资源,改善林区生态环境;富强的要点是通过强化管理和改革、增强企业经济实力;文明包括精神文明和政治文明;和谐根本是办实事,安民心。     

基于能力本位的高职《市场营销》课程设计的优化与创新

本文从优化课程设计理念与思路、构建课程项目化体系、改革教学方法、改革考核模式等方面,对《市场营销》课程设计的优化与创新促进学生职业能力的培养进行有益的探讨。     

Bayesian Inference in Spatial Sample Selection Models

In this study, we consider Bayesian methods for the estimation of a sample selection model with spatially correlated disturbance terms. We design a set of Markov chain Monte Carlo algorithms based on the method of data augmentation. The natural parameterization for the covariance structure of our model involves an unidentified parameter that complicates posterior analysis. The unidentified parameter – the variance of the disturbance term in the selection equation – is handled in different ways in these algorithms to achieve identification for other parameters. The Bayesian estimator based on these algorithms can account for the selection bias and the full covariance structure implied by the spatial correlation. We illustrate the implementation of these algorithms through a simulation study and an empirical application.