The importance of employee participation and perceptions of changes in procedures in a teamworking intervention

The powerful positive results of implementing teamwork are not always achieved. It has been suggested that attempts to implement theories regarding teamwork do not always lead to those theories being put into practice, and as a result positive outcomes are not always found. The participation of employees in the development and implementation of an intervention may help to ensure that changes take place. In this longitudinal study (N = 583) of teamwork implementation in Denmark we examined the links between pre-intervention working conditions and well-being, levels of participation in planning and implementation, employees' reports of changes in procedures, and intervention outcomes. Pre-intervention levels of autonomy and job satisfaction predicted the degree of employee participation in the planning and implementation of the intervention. Pre-intervention well-being and social support were linked directly to the degree to which employees reported changes in existing work practices concerning teamwork. In addition, participation and changes in work procedures were significantly associated with post-intervention autonomy, social support and well-being. The results indicate that employee participation in intervention processes is crucial in what appears to be an important association with perceived changes in procedures and, therefore, in intervention outcomes.     

Does Active Labour Market Policy have an Impact on Social Marginalization?

Countless evaluations of active labour market policy (ALMP) have been conducted in the last decade. The common denominator for most of these evaluations is a focus on employment (self‐sufficiency) as the dependent variable, where the success of ALMP is measured in terms of the number of unemployed finding ordinary employment after (or immediately before) participating in an activation programme. The main argument in this article is that this focus is inadequate. For many long‐term unemployed people, it would be an understatement to describe the road to employment as merely ‘bumpy’. Research must take this into consideration. This article therefore deals with the Danish activation policy from a new perspective by analyzing the impact on different aspects of social marginalization, focusing on long‐term social assistance recipients. Using data from a comprehensive, representative quantitative survey of Danish unemployed conducted in 2007, the first analysis convincingly reveals that we fail to find any systematic correlation between participation in ALMP and any of the social marginalization indicators. The second analysis presents a more mixed picture of the participant's own assessment of the impact of ALMP on their self‐esteem; some are quite positive, while others are more neutral or even rather negative. Taking the existing research into account, these results leave us with conceptual and methodological questions for further research.     

Efficient and confidential reallocation of contracts

The first Danish exchange for sugar beet contracts was established in January 2008. It was also the world’s first major application of a new technology, secure multiparty computation (SMC), which ensures the security and cost-effectiveness of such exchanges. The technology can potentially be used in a number of other applications, including voting, negotiations, and benchmarking. SMC makes it possible to combine private knowledge from a large number of parties without ever revealing their individual knowledge. This provides unique opportunities for individual agents to collaborate despite conflicting interests and decentralized knowledge, which, in many contexts, constitute the primary obstacle to the creation of economic gains. The establishment of the Danish contract exchange was the culmination of a novel and successful collaboration between economists and cryptologists. It constitutes a successful operational research project using novel scientific methods to solve a real, large-scale problem. This article describes the background for and the implementation of the exchange and discusses some other potential applications.     

The Danish psychosocial work environment and symptoms of stress: the main, mediating and moderating role of sense of coherence

The aim of this cross-sectional study was to explore the main, mediating and moderating role of sense of coherence (SOC) on stress symptoms and on the association between perceived psychosocial work environment and stress symptoms. The sample includes 2053 Danish employees from 52 workplaces. Hierarchical regression models were applied for each measure of stress. The results strongly supported the presence of a main effect for SOC. People with high levels of SOC experienced fewer stress symptoms. A mediating effect of SOC was also supported. Thus, SOC in part explained the association between work environment and stress symptoms. In addition, some support for a moderating effect of SOC was found, suggesting that people with higher SOC coped more efficiently with work environmental strain that people with lower SOC. Taken together the regression models explained 11-32% of the variance in stress symptoms. The results suggest that measures of individual factors such as SOC should be included in analyses of the effects of work environmental factors on stress and well-being.     

Non-Native scholars doing research in Native American communities: A matter of respect

This paper raises issues involved in doing research in partnership with Native American communities. The paper explores methodological concerns such as: access and cooperation, protocol, culturally appropriate methods, and ineffective methods. Integral to this discussion are the rights of the Native American communities and the responsibilities of the researchers. Specific topics include: getting started on a project, control of the research project, negotiating the release of the information gathered during the project, recognition for involvement in the research, and other ethical issues.     

Navigationskompetenzen an der Hochschule – Coaching als Bestandteil wissenschaftlicher Qualifikation

A modern scientific qualification encompasses specialised as well as human and communication skills. Hence scientists working with individuals can benefit from coaching to the same extent as other management and teaching staff. Crucial meta-skills are the handling of change and ambiguity, and also a tenor, which can be described as “navigating on drifting islands”. With reference to the current discourse, the authors introduce an integrative concept of coaching learning and explicate how to integrate its elements into scientific education. They also debate concrete attempts at establishing credit points for coaching.     

The effects of transformational leadership on followers' perceived work characteristics and psychological well-being: A longitudinal study

Transformational leaders employ a visionary and creative style of leadership that inspires employees to broaden their interest in their work and to be innovative and creative. There is some evidence that transformational leadership style is linked to employee psychological well-being. However, it is not clear whether this is due to (1) a direct relationship between leadership behaviour and affective well-being outcomes, or (2) a relationship between leadership behaviour and well-being that is mediated by followers' perceived work characteristics. (Such characteristics include role clarity, meaningfulness, and opportunities for development.) This study aims to extend previous work by examining the validity of these two mechanisms in a longitudinal questionnaire study. The study was carried out within the elderly care sector in a Danish local governmental department. A theory-driven model of the relationships between leadership, work characteristics, and psychological well-being was tested using Structural Equation Modelling. The results indicated that followers' perceptions of their work characteristics did mediate the relationship between transformational leadership style and psychological well-being. However, there was only limited evidence of the existence of a direct path between leadership behaviour and employee well-being. These findings have implications for design, implementation, and management of efforts to improve employee well-being.     

Designing Realized Kernels to Measure the ex post Variation of Equity Prices in the Presence of Noise

This paper shows how to use realized kernels to carry out efficient feasible inference on the ex post variation of underlying equity prices in the presence of simple models of market frictions. The weights can be chosen to achieve the best possible rate of convergence and to have an asymptotic variance which equals that of the maximum likelihood estimator in the parametric version of this problem. Realized kernels can also be selected to (i) be analyzed using endogenously spaced data such as that in data bases on transactions, (ii) allow for market frictions which are endogenous, and (iii) allow for temporally dependent noise. The finite sample performance of our estimators is studied using simulation, while empirical work illustrates their use in practice.     

Generalized linear mixed models: a review and some extensions

Breslow and Clayton (J Am Stat Assoc 88:9–25,1993) was, and still is, a highly influential paper mobilizing the use of generalized linear mixed models in epidemiology and a wide variety of fields. An important aspect is the feasibility in implementation through the ready availability of related software in SAS (SAS Institute, PROC GLIMMIX, SAS Institute Inc., URL , 2007), S-plus (Insightful Corporation, S-PLUS 8, Insightful Corporation, Seattle, WA, URL , 2007), and R (R Development Core Team, R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria, URL , 2006) for example, facilitating its broad usage. This paper reviews background to generalized linear mixed models and the inferential techniques which have been developed for them. To provide the reader with a flavor of the utility and wide applicability of this fundamental methodology we consider a few extensions including additive models, models for zero-heavy data, and models accommodating latent clusters.