The Effects of Executive,Firm, and Board Characteristics on Executive Exit

We estimate a hazard model of the probability of top corporate executives exiting their firms over the period 1996–2010. Our main findings are that: (1) female executives have greater likelihoods of exit than males, (2) the likelihood of exit increases with the independence of the board and decreases with the fraction of the board that is female and the average age of board members, and (3) a higher percentage of independent directors on the board lowers the probability of exit more for females than for males. Further, controlling for exit risk reduces the well‐documented compensation differential between men and women.     

Adaptation and inertia in dynamic environments

Research summary : We address conflicting claims and mixed empirical findings about adaptation as a response to increased environmental dynamism. We disentangle distinct dimensions of environmental dynamism—the direction, magnitude, and frequency of change—and identify how selection shapes adaptive responses to these dimensions. Our results show how frequent directional changes undermine the value of exploration and decisively shift performance advantages to inert organizations that restrict exploration. In contrast, increased environmental variance rewards exploration. Our results also show that, in dynamic environments, the best‐performing organizations are generally more inert than less successful organizations. Managerial summary : Our research helps managers to understand under what business conditions investments into exploration and strategic flexibility are more likely to pay off. Dynamic business environments characterized by persistent trends and by large, infrequently occurring structural shocks reward strategic pursuit of temporary advantage. Thus, exploration and strategic flexibility are preferred strategies. In contrast, the challenge in frequently changing environments with fleeting opportunities is to identify and to focus on strategic actions whose payoffs on average are high, independent of environmental volatility. Low levels of exploration and long‐term strategic focus are preferred strategies in these circumstances. Copyright © 2015 John Wiley & Sons, Ltd.     

Trust and Understanding,Two Psychological Aspects of Randomized Response

This study examines two different Randomized Response methods to see whether they evoke sufficient understanding and trust, and ensure fewer evasive answers to socially sensitive questions. Two Randomized Response methods were employed by trained interviewers to study fraud: the Forced Response method, using dice, and Kuk's method, using playing cards. Respondents were selected from the files of the social security offices of three Dutch cities. A total of 334 respondents participated voluntarily in this study of two Randomized Response methods. Most respondents were known to have committed some form of fraud, and their answer on the Randomized Response question is validated with this information. The results indicate that subjects who have a better understanding of the Forced Response technique give more socially undesirable answers. The interviewer has a most important role establishing trust and understanding. Respondents who are less able to understand the instructions, e.g., have limited language abilities, develop less trust in the method.     

Market-Oriented Management: A Systems-Based Perspective

Market orientation has received substantial academic and practitioner interest over the last decade. However, previous research has not addressed the issue how a company's management systems can be designed in a market-oriented way. Starting from a systems-based perspective of management, the authors develop and validate a scale measuring the extent of market orientation of a business organization's management systems including the organization system, the information system, the planning system, the controlling system, and the human resource management system. Empirical results reveal a substantial positive impact of market-oriented management on market performance which in turn leads to financial performance.     

The jump component of S&P 500 volatility and the VIX index

Much research has investigated the differences between option implied volatilities and econometric model-based forecasts. Implied volatility is a market determined forecast, in contrast to model-based forecasts that employ some degree of smoothing of past volatility to generate forecasts. Implied volatility has the potential to reflect information that a model-based forecast could not. This paper considers two issues relating to the informational content of the S&P 500 VIX implied volatility index. First, whether it subsumes information on how historical jump activity contributed to the price volatility, followed by whether the VIX reflects any incremental information pertaining to future jump activity relative to model-based forecasts. It is found that the VIX index both subsumes information relating to past jump contributions to total volatility and reflects incremental information pertaining to future jump activity. This issue has not been examined previously and expands our understanding of how option markets form their volatility forecasts.     

On the cost of delayed currency fixing announcements

In Foreign Exchange Markets vanilla and barrier options are traded frequently. The market standard is a cutoff time of 10:00 a.m. in New York for the strike of vanillas and a knock-out event based on a continuously observed barrier in the inter bank market. However, many clients, particularly from Italy, prefer the cutoff and knock-out event to be based on the fixing published by the European Central Bank on the Reuters Page ECB37. These barrier options are called discretely monitored barrier options. While these options can be priced in several models by various techniques, the ECB source of the fixing causes two problems. First of all, it is not tradable, and secondly it is published with a delay of about 10–20 min. We examine here the effect of these problems on the hedge of those options and consequently suggest a cost based on the additional uncertainty encountered.      

Multidimensionales Verfahren zur Bestimmung des Regelleistungsbedarfes unter Berücksichtigung von Unsicherheiten

One of the most crucial constraints in operation of electrical power supply systems is the permanent balance between generation and load. Reserve power is held ready to be able to keep this balance also in case of the occurrence of unpredictable events like power plant outages or inevitable deviations of power injections from their predicted values. At this, the allocation of operating reserves is in the field of conflict between level of reliability and cost effectiveness. The amount of reserve generation capacity required in a control area heavily depends on prediction quality which constitutes the need for high quality predictions. This article is about the influence of prediction quality on the amount of reserve generation capacity required in a control area. The algorithms for the assessment of required reserve generation capacity known from literature use the variation calculus technique to account for the aforementioned unpredictable events and prediction errors. In this article, an extension to a convolution-based method is presented in which the uncertainties of the predictions are expressed using intervals. Each parameter is represented by an independent dimension, assuming statistical independence among them. This allows the distinct analysis of each parameter’s influence on the amount of required reserve generation capacity. In addition, two methods for the visualization of the multi-dimensional results are presented, allowing a comprehensive analysis of the parameters’ influences. Standard distribution functions are used to represent the parameters for the simulation and the results are shown as probability density functions of possible imbalances. Based on forecasts of the development of conventional power plants and regenerative generation in the years 2020, 2030 and 2040, the required control power of the future German transmission system is calculated. Influences and dependencies are identified with the extended convolution-based method.     

The estimation of agricultural policy effects on soil erosion—An application for the bio-economic model MODAM

As agricultural policies affect land use, they have effects on the amount of soil erosion in agricultural regions through changes of the economic conditions of agricultural production. Prices of inputs and outputs, regulations and incentives can change, forcing or encouraging farmers to adopt new crop rotations. This paper shows how a bio-economic model can be used to describe and estimate the effects of policies on agricultural production and the risk of soil erosion at the example of a region in North-Eastern Germany. The model uses both an assessment tool that is based on a fuzzy-logic approach for the estimation of soil erosion risk of cropping practices, and a linear programming model, that simulates farmers’ economic behaviour under the assumption of gross margin maximisation being the main goal of farmers’ actions.The analysed policy options were both a targeted and an untargeted incentive programme for reduced tillage, and a restriction option where high erosive crops are not allowed on high erodible field types. The results show that policy changes can have an impact on soil erosion. Furthermore, soil conservation policies are shown to have different levels of efficiency in terms of reduced soil erosion related to the costs of the policy. In the case of this study, a restriction option was more efficient than the incentive options. The results of such simulations can serve as a decision support for the development of soil conservation policies and help to foresee the effects of general changes of agricultural policies.     

Strategic human resource management at Herman Miller

This article describes the Human Resource Management system in place at Herman Miller, Inc. (HMI). HMI's HR strategy is comprised of three primary goals: (1) building employee capabilities, (2) building employee commitment, and (3) improving the professional capabilities of the HR function itself. Key emphases of HMI's HR management infrastructure include (1) employee competency identification and development, (2) building employee participation, (3) building business literacy, (4) creating a “corporate community” through strong values and a sense of “belonging”, (5) community responsibility and environmental protection, (6) competently delivering the HR “fundamentals”, and (7) developing innovative partnerships with suppliers. Key challenges for the future include (1) change management, (2) clarifying HR's strategic role throughout the firm, and (3) attracting and retaining a diverse workforce. © 1999 John Wiley & Sons, Inc.     

Overview: Strategic human resource management in five leading firms

This article synthesizes findings from five case studies conducted in firms known to be leaders in the management of people. We drew three broad conclusions:

• 1 The foundation of a value‐added HR function is a business strategy that relies on people as a source of competitive advantage and a management culture that embraces that belief;
• 2 A value‐added HR function will be characterized by operational excellence, a focus on client service for individual employees and managers, and delivery of these services at the lowest possible cost; and
• 3 A value‐added HR function requires HR managers that understand the human capital implications of business problems and can access or modify the HR system to solve those problems.

© 1999 John Wiley & Sons, Inc.