The Importance of Monitoring for Developing Intra-Group Trust in Ethiopian Female Workgroups

We examine the relation between intra-group trust and monitoring in a patriarchal society, and how this relation affects workgroup performance. Data were collected from 352 women who were members of 72 female workgroups in Addis Ababa by means of field experiments and a survey. The data are analyzed using multiple mediation analysis. We find that intra-group trust needs time to develop, and that trust is higher in workgroups with more monitoring. The positive relation between monitoring and trust might be explained by women’s ambition to overcome disempowerment and negative gender stereotypes. The results also indicate positive effects of intra-group trust and monitoring on workgroup performance, and that the effect of monitoring runs through its relation with trust. The last finding stresses the importance of monitoring for developing intra-group trust in these female workgroups.     

Standing by Your Organization: The Impact of Organizational Identification and Abusive Supervision on Followers’ Perceived Cohesion and Tendency to Gossip

Abusive supervision has been shown to have significant negative consequences for employees’ well-being, attitudes, and behavior. However, despite the devastating impact, it might well be that employees do not always react negatively toward a leader’s abusive behavior. In the present study, we show that employees’ organizational identification and abusive supervision interact for employees’ perceived cohesion with their work group and their tendency to gossip about their leader. Employees confronted with a highly abusive supervisor had a stronger perceived cohesion and engaged in less gossiping behavior when they identified more strongly with their organization. Our findings illustrate that organizational identification functions as a buffer for those confronted with an abusive supervisor.     

Identifying key determinants for new product introductions and firm performance in small service firms

Small firms have gained increasing attention in the innovation literature. Focusing mainly on manufacturing based literature we identified several key factors that contribute to the innovative potential of small firms. However, we do not know if these factors are recognised and used in small service firms. Distinguishing various types of service industries, our goal with this paper is threefold. First, we describe to what extent service firms use the key factors to their advantage. Second, we try to establish if there is a relation between the key factors and new product introductions. Third, we want to see if new product introductions indeed contribute to firm performance. After a survey among 502 Dutch service firms, we reveal some major differences between various types of service industries.     

Linking HRM and Small Business Performance: An Examination of the Impact of HRM Intensity on the Productivity and Financial Performance of Small Businesses

Attempts to explore empirically the link between HRM and firm performance are numerous. Yet, research on this link remains restricted to large companies. Little is known about the extent to which the existing results extend to small businesses. The purpose of the present study is to develop and test a conceptual framework linking HRM to financial performance that fits small businesses. The central question is whether the development of an intensive HRM is profitable for smaller organizations. For the development and optimization of the conceptual framework, we rely on human capital theory and bankruptcy prediction models. Using structural equation modeling, we study the mediating effect of voluntary turnover and productivity on the relationship between HRM intensity and one year lagged financial performance. The results show both productivity and profitability enhancing effects as well as a cost increasing impact of HRM intensity.     

An integrated approach for ex-ante evaluation of public policies for sustainable agriculture at landscape level

An integrated methodological framework for ex-ante evaluation and planning of public policies for sustainable agriculture at agro-landscape level is proposed. The components of the framework are to: (1) determine the private, i.e. farmers’, and public benefits associated to agro-landscapes, consisting of an agricultural land-use system, according to its performance for several market and non-market functions. Market forces determine the market benefits and preferences of society the non-market benefits; (2) explore and select potential sustainable agro-landscapes based on the private and public benefits associated with possible land-use alternatives; (3) define efficient public policy mechanisms for improving social net benefit of agro-landscapes.The framework is illustrated with a case study in a small dairy farming dominated agro-landscape in The Netherlands, with gross margin, landscape quality, nature value and environmental health as the analysed ecosystem functions. Alternative landscapes consisting of hedgerow configurations and grassland management practices were explored, yielding a set of alternatives representing the solution space in terms of change in private and public benefits. Policy mechanisms were defined to move from the current to a desired landscape based on changes in social net benefits. Moreover, the necessity of a modification in the current agri-environmental support was analysed for each landscape. The analysis considered all farmers in the agro-landscape jointly. The results for the case study showed potential prototypes of landscapes and their performance compared to the current landscape. Extension was the most efficient policy mechanism to promote the change to the socially optimum landscape alternative.     

Multivariate volatility forecasts for stock market indices

Volatility forecasts aim to measure future risk and they are key inputs for financial analysis. In this study, we forecast the realized variance as an observable measure of volatility for several major international stock market indices and accounted for the different predictive information present in jump, continuous, and option-implied variance components. We allowed for volatility spillovers in different stock markets by using a multivariate modeling approach. We used heterogeneous autoregressive (HAR)-type models to obtain the forecasts. Based an out-of-sample forecast study, we show that: (i) including option-implied variances in the HAR model substantially improves the forecast accuracy, (ii) lasso-based lag selection methods do not outperform the parsimonious day-week-month lag structure of the HAR model, and (iii) cross-market spillover effects embedded in the multivariate HAR model have long-term forecasting power.     

Model risk and capital reserves

We propose a procedure to take model risk into account in the computation of capital reserves. This addresses the need to make the allocation of capital reserves to positions in given markets dependent on the extent to which reliable models are available. The proposed procedure can be used in combination with any of the standard risk measures, such as Value-at-Risk and expected shortfall.     

Retail profit margins in Japan and Germany

Retail Profit Margins in Japan and Germany. — This study compares the determinants of retail profit margins in Japan and Germany. Although several studies consider the peculiarities of the Japanese society and its economic structure, the comparison in this study is the first systematic, empirical analysis of the consequences of these characteristics for Japanese retail profit margins. For this purpose, two extensive data sets are used and a mark-up relationship is tailored to examine differences in Japanese and German retail profit margins. The empirical outcomes indicate that small firms can survive more easily in Japan than in Germany. This explains the abundance of small stores in Japan.