Synergy from configuration of global production networks: drivers,mechanisms, and outcomes

Abstract

This paper explores the network synergies available from the configuration of highly dispersed, global production networks (GPNs). Synergy theory from the literature on intra-firm and inter-firm GPNs is examined in terms of drivers, mechanisms and outcomes. An explanatory model is developed and enriched via a series of extended case studies of firms undertaking re-configuration of their GPNs during the period 2003–2014. The primary finding is that firms create synergy in their GPNs by selecting specific configuration mechanisms, in response to a certain set of external drivers, in order to achieve certain synergistic outcomes. The paper classifies the main types of drivers, mechanisms and outcomes in terms of key variables and discusses their inter-connections and relationships.     

Social welfare services staff burnout in Cyprus: Who is responsible?

This is the first study to explore among social welfare services staff in Cyprus the main stress factors that lead to burnout. Using focus groups, the study explored and analysed the perceptions of 120 social welfare services staff members. The aim of the focus group meetings was to identify methods that could minimise the risk of employee burnout. The main stressors that participants experienced were: inadequate appreciation from the management, lack of support and guidance, lack of autonomy, complex responsibilities, lack of recognition and respect in their workplace, low self‐confidence, low self‐respect and feelings of rejection. Participants suggested that continuous education and training could reduce work stress; for example, new knowledge, the development of new skills, the improvement of their ability to prioritise tasks and become organised and the improvement of self‐criticism and self‐knowledge.     

Validation of a Brief Yesterday Measure of Hedonic Well-Being and Daily Activities: Comparison with the Day Reconstruction Method

There has been increasing interest in the measurement of hedonic well-being (HWB), due in part to its broad implications in areas such as health and society. The day reconstruction method (DRM) is a validated technique assessing HWB and daily activities using instructions that help respondents recover their experiences from the previous day, thus reducing recall bias. Unfortunately, large-scale surveys are typically not able to implement the time-consuming DRM procedure; instead, they rely on single-item or very brief questionnaire assessment of HWB and time usage. Despite their wide use, brief questionnaires have rarely been compared to the DRM, which could provide validation of these short assessments. In the present study we compared these two questionnaire formats in 45 adults who completed both a DRM and a “hybrid” short form (HSF) questionnaire that included a very brief procedure to reconstruct yesterday’s events. Results were that the mean HSF ratings tended to overestimate HWB in comparison to the DRM, though effects were generally small to moderate. With regard to estimates of time spent on daily activities, the HSF also differed from the DRM, though with generally small to moderate effects. Correlations between estimates indicated that the HSF explained an average of almost half the variance in the DRM ratings for both HWB (rs ranging from .52 to .97) and time use (rs ranging from .43 to .85). In general, HSF ratings displayed considerable overlap with those of the DRM though the brief instructions apparently did not eliminate recall bias in the shorter questionnaire.     

Preference Heterogeneity and the Rank of Demand Systems

This article examines the effect of preference heterogeneity on nonparametric and parametric tests of the rank of demand systems. Using samples of households drawn from the U.K. Family Expenditure Survey, we find that preference heterogeneity increases the rank of demand systems. When the effects of household characteristics on demand are removed by semiparametric techniques, a rank-3 demand system appears to be an adequate empirical specification for all samples.