Organizational Performance Consequences of Age Diversity: Inspecting the Role of Diversity‐Friendly HR Policies and Top Managers’ Negative Age Stereotypes

This paper seeks to advance the diversity literature by investigating organizational performance consequences of age diversity. Drawing from social‐identity and social‐categorization theory, we theoretically argue that, in age‐diverse companies, age‐based subgrouping processes occur, favouring a shared perception of a negative age‐discrimination climate. This perceived negative age‐discrimination climate in turn negatively relates to organizational performance. As the main contribution, top managers’ negative age‐related stereotypes and diversity‐friendly HR policies are introduced as organizational‐level moderators that increase and attenuate, respectively, the social categorization processes affecting performance in age‐diverse companies. We utilized structural equation modelling (SEM) to test the proposed hypotheses using a multisource dataset comprising 147 companies. The results supported all hypotheses, indicating that low negative top managers’ age stereotypes as well as high diversity‐friendly HR policies are potential organizational factors that can prevent the negative relation of age diversity with organizational performance transmitted through the negative age‐discrimination climate. These results are discussed in light of their contribution to the diversity literature and social‐categorization theory as well as their implication for practitioners.     

A NOTE ON SELECTION EFFECTS OF THE HAND RULE

The famous Hand rule weighs the burden of precaution against the reduction in expected harm. The burden may be type‐specific, implying different standards of care for different injurer types. We show that this fact may be exploited by principals in their search for minimized individual costs. Principals may hire agents with high cost of care‐taking although other agents are available. This is shown in a unilateral‐care setting either with perfect or with asymmetric information. We therefore highlight a neglected downside of the negligence rule.     

Performance impact of middle managers' adaptive strategy implementation: The role of social capital

This article reconciles mixed findings about the performance impact of middle managers' strategy involvement. We propose that the relationship between middle managers' adaptive strategy implementation—through upward and downward influence—and objective business performance can be curvilinear and contingent on formal and informal structures. Applying a multilevel perspective to social networks, we empirically show that reputational social capital enhances the performance impact of middle managers' upward influence while informational social capital elevates the performance impact of their downward influence. The size of a business unit or region has differential moderating effects. The curvilinear effects of middle managers' upward influence and reputational and informational social capital on business unit performance reflect paradoxes. We discuss the implications of these findings for strategy implementation research and practice. Copyright © 2013 John Wiley & Sons, Ltd.     

Cybercrime and cloud computing. A game theoretic network model

In this paper, a network model is developed in which three players—a profit‐maximizing provider of cloud computing services, its consumers, and a hacker—sequentially choose their strategies. Several scenarios with different levels of data security and public prosecution of the hacker are analyzed. Especially for the case when no security measurements are available, a firm's strategy to limit the network size in order to render hacking unattractive is discussed in detail. Finally, policy implications are given implying better international cooperation of the law enforcement authorities.     

The influence of industry concentration on merger motives—empirical evidence from machinery industry mergers

By linking industrial organization theory and capital market research, we provide empirical evidence that merger motives of firms are influenced by underlying industry concentration. Analyzing wealth effects on target, acquirer and rival firms in the machinery industry, we observe significant different capital market reactions among merger announcements in dependence of underlying industry concentration. suggesting that different takeover motives prevail in fragmented and concentrated industries. In contrast to previous studies, we find besides efficiency motives evidence for monopolistic collusion motives in fragmented industries. Mergers in concentrated industries are primarily motivated to achieve productive efficiency gains. The absence of collusion motives may be an indication for a successful enforcement of antitrust legislation. Our results suggest that the magnitude of the influence of industry concentration in empirical merger motive research may have been previously under-estimated leading to a potential distortion of results.     

Conformal prediction interval estimation and applications to day-ahead and intraday power markets

In this study, we investigated the application of the conformal prediction (CP) concept in the context of short-term electricity price forecasting. In particular, we determined the most important aspects related to the utility of CP, as well as explaining why this simple but highly effective idea has proved useful in other application areas and why its characteristics make it promising for short-term power applications. We compared the performance of CP with various state-of-the-art electricity price forecasting models, such as quantile regression averaging, in an empirical out-of-sample study of three short-term electricity time series. We combined CP with various underlying point forecast models to demonstrate its versatility and behavior under changing conditions. Our findings suggest that CP yields sharp and reliable prediction intervals in short-term power markets. We also inspected the effects of each of the model components to provide path-based guideline regarding how to find the best CP model for each market.