Forecasting core competencies in an R&D environment

This study, carried out in 1998, aimed to develop a method of forecasting core competencies in an agricultural research organization, using the Delphi Technique. First, based on a survey of internal documents and interviews, nine organizational core competencies and their specific components (human competencies) were defined, and expert judges identified. These judges responded to a questionnaire, in which the importance of the future human competencies was assessed and the organization's existing human capacity was evaluated. Means were calculated for both judgements and changes were made in various definitions, based on the experts' comments. Another questionnaire was designed and sent out to an expanded panel of judges to confirm or to revise the priority mean scores obtained or to add scores in the case of competencies that entered later. Factor analysis and reliability scores have demonstrated internal and inter‐competency consistencies. Technological Innovation Management and Geo‐processing appeared as the top priorities and Plant Pathology as the least priority. Priorities for each human competency were also calculated and they have been helpful for decision‐making concerning the selection and graduate training of researchers on the organization studied.     

Decomposition of the Gini Index by Sources of Income

The Gini concentration coefficient is considered to be the best synthetic inequality measure and is widely used in economic research. In this paper, we present its decomposition by factor components with an application to income distributions in Poland. Income inequality measures proposed by Gini, Zenga and Bonferroni are calculated for different socio-economic groups based on their exclusive or primary source of maintenance. For theoretical income distribution, the Dagum type-I model was used. The basis for the calculations was the individual data coming from the Household Budgets Survey conducted quarterly by the Polish Central Statistical Office. Using the decomposition of inequality by source, we were able to examine how changes in particular income components affected overall inequality.      

The Reservation Wage Unemployment Duration Nexus*

A thorny problem in identifying the determinants of reservation wages and particularly the role of continued joblessness in their evolution is the simultaneity issue. We deploy a control function approach to the problem that involves conditioning elapsed duration on completed unemployment duration in the reservation wage equation. Our analysis confirms that the use of elapsed duration alone compounds two separate and opposing influences. Only with the inclusion of completed duration is the negative effect of continued joblessness on reservation wages apparent.     

Idiosyncratic volatility and the cross-section of anomaly returns: is risk your Ally?

Due to arbitrage risk asymmetries, the relationship between idiosyncratic risk and expected returns is positive (negative) among overpriced (underpriced) stocks. We offer a new active anomaly-selection strategy that capitalizes on this effect. To this end, we consider 11 equity anomalies in the U.S. market for years 1963–2016. Buying (selling) long (short) legs of the anomaly portfolios with the highest idiosyncratic volatility produces monthly abnormal returns ranging from 0.97% to 1.14% per month, outperforming a naive benchmark that equally weights all the anomalies by 45–70%. The effect cannot be subsumed by any other established anomaly-return predictor, such as momentum or seasonality. The results are robust to many considerations, including different numbers of anomalies in the portfolios, subperiod analysis, as well as estimation of idiosyncratic risk from the alternative models and throughout different periods.     

A resource-based view of green supply management

Companies are being increasingly pressured to consider environmental concerns in their manufacturing activities and, more recently, with regard to their supply bases. Despite the broad range of literature that links performance to both green manufacturing capabilities such as pollution prevention and green supply management (GSM), managers are having difficulties developing a greener supply chain. The objective of this paper is to provide a model for development of GSM capabilities. Using the resource-based view of the firm (RBV) as the theoretical background, we postulate that plant resources are positively related to green manufacturing capabilities, which in turn are positively related to GSM capabilities. The data from a survey of a sample of manufacturing plants indicates that a managerial philosophy that includes external knowledge exchange directly supports both greener process management and environmental collaboration with suppliers. However, this managerial philosophy is only indirectly related to supplier selection and monitoring. The managerial implications of these findings are twofold: managers seeking to implement GSM need to view internal investment in green process management as a step toward environmental management of their external supply chains. They also must realize that green process management requires the support of other resources, such as environmental investments and top management commitment.     

Measuring the effects of geographical distance on stock market correlation

Recent studies suggest that the correlation of stock returns increases with decreasing geographical distance. However, there is some debate on the appropriate methodology for measuring the effects of distance on correlation. We modify a regression approach suggested in the literature and complement it with an approach from spatial statistics, the mark correlation function. For the stocks contained in the S&P 500 that we examine, both approaches lead to similar results. Contrary to previous studies we find that beyond 50 miles geographical proximity is irrelevant for stock return correlations. For distances below 50 miles, we can show that the magnitude of local correlations varies with investor sentiment.     

Income inequality analysis in the period of economic transformation in poland

This paper presents some statistical methods of income inequality analysis based on the theoretical income distribution models that are well-fitted to the empirical models. As theoretical curves, the lognormal, gamma, Burr Type XII, and the Dagum models were used. They were applied to the earnings distributions in Poland in the period of economic transformation from a centrally-planned to a market economy. On the basis of the Dagum model, showing the perfect consistency with the considered earnings distributions, the maximun likelihood estimators of inequality parameters and economic distance ratios between men and women were calculated.     

Decentralization and Reliance on the Controllability Principle in the Public Sector

Despite the growing devolution of budgetary responsibility in public sector organizations, little attention has been paid to the key notion of the controllability principle in this context. Drawing on neo-institutional sociology, this paper explores the relationship between decentralization of decision-making authority and reliance on the controllability principle (RCP) in the devolution of budgetary responsibility to the middle management level of a large Norwegian hospital. The results of a questionnaire survey only reveal a weak positive relationship between decentralization and RCP. Qualitative data are then used to probe further into the institutional factors impinging on this relationship, which have not been widely discussed in previous research. Our findings suggest that the possibilities of decentralization and thus enhancing managers' control of major cost items, such as labour-related expenses, are constrained by the actions of external as well as internal constituencies. RCP is also influenced by institutionally induced allocation practices, traditionally contributing to subjective, ex-post adjustments of budgetary results but more recently manifested by the adoption of more objective allocations to demonstrate compliance with the cost containment ethos.     

Mind the Intended‐Implemented Gap: Understanding Employees’ Perceptions of HRM

This study aims to shed light on the implementation of HR practices as a key piece of the human resource management (HRM)–performance puzzle. Although the literature suggests that discrepancies between the organization's intended and implemented HR practices are essential to understanding employees’ perceptions of and reactions to HRM, little attention has been devoted to this issue. Drawing upon a multiple‐case study of German health and social services organizations, we therefore explore the linkages (and potential gaps) between intended, implemented, and perceived HR practices. Our study provides new insights into the underlying mechanisms of this relationship, highlighting an organization's ability to leverage its resources as playing a crucial moderating role in implementing intended HR practices, while employees’ expectations of HRM moderate the link between implemented and perceived HR practices. We advance a set of propositions that contributes to a more nuanced, multilevel understanding of the complex phenomenon of HRM implementation. © 2014 Wiley Periodicals, Inc.     

Forecasting UK GDP growth and inflation under structural change. A comparison of models with time-varying parameters

Evidence from a large and growing body of empirical literature strongly suggests that there have been changes in the inflation and output dynamics in the United Kingdom. The majority of these papers base their results on a class of econometric models that allows for time-variation in the coefficients and volatilities of shocks. While these models have been used extensively for studying evolving dynamics and for structural analysis, there has been little evidence that they are useful for forecasting UK output growth and inflation. This paper attempts to fill this gap by comparing the performances of a wide range of time-varying parameter models in forecasting output growth and inflation. We find that allowing for time-varying parameters can lead to large and statistically significant gains in forecast accuracy.