Unhappy with well-being research in the temporary work context: mapping review and research agenda

Abstract

While temporary workers’ specific employment circumstances strongly suggest negative consequences for their well-being, research on temporary workers’ well-being shows serious inconsistencies. To identify possible reasons, we provide an overview of previous well-being research in the temporary work context. The mapping review shows that inconsistencies are caused both by the use of the umbrella term temporary work to describe a wider range of employment forms with divergent characteristics and the use of the buzzword well-being for various well-being indicators. In addition, the portfolio of employment-specific antecedents used is insufficient to gain a comprehensive view of temporary workers’ well-being situation. Based on these findings, we propose an agenda for future well-being research in the temporary work context. A first key implication is that analyses considering country-specific circumstances and employment-specific characteristics of particular atypical employment situations are needed. Secondly, a more comprehensive portfolio of employment-specific and individual antecedents would help with gaining deeper insights into temporary workers’ well-being situation. In addition, effects of well-being on attitudinal and behavioral outcomes should be analyzed to demonstrate the return on investment of organizations’ well-being enhancing activities. Finally, well-being oriented HR practices and their implementation in the temporary work context are part of the proposed research agenda.     

Efficiencies of Rounded Optimal Approximate Designs for Small Samples

Optimal exact designs are notoriously hard to study and only a few of them are known for polynomial models. Using recently obtained optimal exact designs (I mhof , 1997), we show that the efficiency of the frequently used rounded optimal approximate designs can be sensitive if the sample size is small. For some criteria, the efficiency of the rounded optimal approximate design can vary by as much as 25% when the sample size is changed by one unit. The paper also discusses lower efficiency bounds and shows that they are sometimes the best possible bounds for the rounded optimal approximate designs.     

Tournaments with gaps

A standard tournament contract specifies only tournament prizes. If agents’ performance is measured on a cardinal scale, the principal can complement the tournament contract by a gap which defines the minimum distance by which the best performing agent must beat the second best to receive the winner prize. We analyze a tournament with two risk averse agents. Under unlimited liability, the principal strictly benefits from a gap by partially insuring the agents and thereby reducing labor costs. If the agents are protected by limited liability, the principal sticks to the standard tournament.     

Extending design-optimality from an initial model to augmented models

We consider an initial linear model E(Y)=B a and an augmented model E(Y)=B a+C b. We show that, if a design is optimal for estimating K a in the initial model, then there exists a matrix L such that this design is also optimal for estimating K a+L b in the augmented model. Received: December 1998