When stressors make you work: Mechanisms linking challenge stressors to performance

Based on previous empirical findings, “challenge stressors” (Cavanaugh, Boswell, Roehling, & Bouderau, 2000 Cavanaugh, M. A., Boswell, W. R., Roehling, M. V., & Boudreau, J. W. (2000). An empirical examination of self-reported work stress among U.S. managers. Journal of Applied Psychology, 85, 65–74. doi:10.1037/0021-9010.85.1.65[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]; Lepine, Podsakoff, & Lepine, 2005 LePine, J. A., Podsakoff, N. P., & LePine, M. A. (2005). A meta-analytic test of the challenge stressor hindrance stressor framework: An explanation for inconsistent relationships among stressors and performance. Academy of Management Journal, 48, 764–775. doi: 10.5465/AMJ.2005.18803921[Crossref], [Web of Science ®] , [Google Scholar]), such as the amount and scope of responsibility, can be loosely considered as “good stressors” that are consistently and positively related to job satisfaction and performance. We introduce the role of appraisal to further examine how challenge stressors are connected to performance. Structural equation modelling analyses using an applied sample of 284 employee–supervisor dyads showed that affective commitment to the organization mediated the relationship between both opportunity and threat appraisal and performance (in-role and extra-role). The mediating role of increased psychosomatic distress was supported only for the relationship between threat appraisal and in-role performance. The findings indicate the importance of taking into account the actual appraisal of “challenge stressors”, as it carries implications for performance, and reveals the key role of affective commitment and induced distress mechanisms in this relationship. In conclusion, “challenge stressors” are not always positively related to performance, but only when they are perceived as opportunities.     

Estimation of distribution algorithms using Gaussian Bayesian networks to solve industrial optimization problems constrained by environment variables

Many real-world optimization problems involve two different subsets of variables: decision variables, and those variables which are not present in the cost function but constrain the solutions, and thus, must be considered during optimization. Thus, dependencies between and within both subsets of variables must be considered. In this paper, an estimation of distribution algorithm (EDA) is implemented to solve this type of complex optimization problems. A Gaussian Bayesian network is used to build an abstraction model of the search space in each iteration to identify patterns among the variables. As the algorithm is initialized from data, we introduce a new hyper-parameter to control the influence of the initial data in the decisions made during the EDA execution. The results show that our algorithm improves the cost function more than the expert knowledge does.

     

Corporate and managerial characteristics as drivers of social responsibility disclosure by state-owned enterprises

The public administration sector, including state owned enterprises (SOEs), has developed various types of information disclosure practice, in response to stakeholders’ demands, in parallel with developments in the private sector. This paper analyses the corporate social responsibility (CSR) information disclosed by SOEs and the influence exerted by the characteristics of the SOEs themselves (size, industry sector, degree of government ownership and number of years in operation) and by those of their managers (age, gender, CSR education profile and CSR responsibilities in the workplace). To do so, an index of CSR information disclosure was created, based on the responses made to a questionnaire in this respect. An empirical regression model was then applied to test and categorise the factors analysed. According to the results obtained, the size and sector of the SOE, together with the manager’s CSR responsibilities, are the factors that most significantly affect the online disclosure of CSR information.     

Taxes and Women in the Labour Force in a Southern European Country: The Case of Portugal

On looking at the female labour supply in Europe, it is immediately noticed that there is a large variation among countries. One possible explanation for this fact is that different countries have different tax policies, leading to variations in incentive and costs. This has been investigated in papers such as that of Gustafsson (1992a,b) for countries such as Germany and Sweden. The same exercise has been performed by the present authors for a low-income, southern European country, Portugal, which has one of the highest rates of female participation (out of line with neighbouring countries). Female labour supply does not seem to be very sensitive to fiscal policies, as those policies have only a small influence on the take-home wage. This result appears to be independent of the fact that the female labour supply shows a higher elasticity to wages than that which has been reported for other countries. The present authors also show that Portuguese women contribute a much larger proportion of family earnings than do their counterparts in Sweden and Germany, and that the Portuguese fiscal system is rather neutral. Further studies with data from other countries are needed in order to shed more light on the issue of tax harmonization.