Effect of regulatory modes on work performance: the moderating role of job familiarity and job complexity / El efecto del modo de regulación en el rendimiento laboral: el rol moderador de la familiaridad con el trabajo y la complejidad de la tarea

Prior research has shown that the combination of assessment and locomotion regulatory modes leads to the best performance-related outcomes. The aim of the current study was to analyse how familiarity and complexity moderate this relationship between the two regulatory modes and job performance. Participants’ locomotion and assessment tendencies were measured, and they were asked to rate the familiarity and complexity of their daily work tasks, as well as their job performance over the last year. Results showed that when job tasks were unfamiliar and more complex, high locomotion and high assessment were both needed for optimal performance. However, when both familiarity and job complexity were low, high locomotion alone led to the best performance. A similar result was obtained when task familiarity was high: regardless of task complexity, the best performance was shown by employees high in locomotion, no matter the assessment. In conclusion, the present study furnishes useful suggestions for employers who wish to maximize employees’ performance.     

Tablet assessment of word comprehension reveals coarse word representations in 18–⁠20-month-old toddlers

The present study explores the viability of using tablets in assessing early word comprehension by means of a two-alternative forced-choice task. Forty-nine 18–20-month-old Norwegian toddlers performed a touch-based word recognition task, in which they were prompted to identify the labeled target out of two displayed items on a touchscreen tablet. In each trial, the distractor item was either semantically related (e.g., dog–cat) or unrelated (e.g., dog–airplane) to the target. Our results show that toddlers as young as 18 months can engage meaningfully with a tablet-based assessment, with minimal verbal instruction and child–administrator interaction. Toddlers performed better in the semantically unrelated condition than in the related condition, suggesting that their word representations are still semantically coarse at this age. Furthermore, parental reports of comprehension, using the Norwegian version of the MacArthur–Bates Communicative Development Inventories, predicted toddlers’ performance, with parent–child agreement stronger in the semantically unrelated condition, indicating that parents declare a word to be known by their child if it is understood at a coarse representational level. This study provides among the earliest evidence that remote data collection in 18-20 month-old toddlers is viable, as comparable results were observed from both in-laboratory and online administration of the touchscreen recognition task.     

How emerging digital technologies affect operations management through co-creation. Empirical evidence from the maritime industry

Abstract

Globalization, variation in customer expectations, and the developments connected to Information & Communication Technology are usually considered as the main drivers of changes in Operations Management (OM) strategies by firms in both manufacturing and service industries. Emerging digital technologies, such as Internet of Things or Cloud Computing, represents a novel paradigm that is rapidly affecting on several aspects of everyday-life of private and business users. This paper contributes to extant literature about the relationship between emerging digital technologies and OM, by stressing the value co-creation issue. Specifically, we investigate how emerging digital technologies affect OM through value co-creation in the maritime industry. Our study reports the case of FairWind project, an open technology marine service and graphic user interface enabling sailors to personalize their experience on board through 3rd party boat applications. The case of Fair Wind points out how emerging digital technologies contribute to OM within both organizations and, more in general, maritime industry, as well as the critical role of user’s co-creation in defining and managing on-board operations.     

Racial Disparities in Welfare Dependence and Financial Independence: Links to Human Capital,Local Economy,and State Temporary Assistance for Needy Families Policies

This secondary data analysis examined racial disparities in associations betwen welfare dependence/financial independence and human capital, local economy, and state TANF policies. A sample of 6,737 parents was extracted from the public-use data set titled “National Longitudinal Survey of Youth.” Results showed that restrictive TANF policies reduced African Americans’ likelihood of welfare use and increased likelihood of their financial independence. Multinomial logistic results also showed that, among Hispanics, employment growth in neighboring counties promoted welfare use; whereas among Caucasians such growth promoted financial independence. County poverty increased (a) Caucasians’ likelihood of welfare use and (b) Hispanics’ likelihood of being working poor; it decreased Caucasians’ and African Americans’ likelihood of financial independence. Across ethnic groups, education reduced likelihood of welfare use and working poor status; across minority groups, education increased likelihood of financial independence, but among Caucasians it decreased such likelihood. Across ethnic groups, occupational skills hindered dependence and improved odds of employment (regardless of welfare or poverty status). This study concluded the studied TANF policies and job markets were not color-blind. Interventions this study implies include less-restrictive TANF policies, generous support services, TANF staff cultural-competence training, and antidiscrimination rules. Research investigating particular TANF policies’ and services’ effects by ethnicity might prove useful.     

Return to work after childbirth: does parental leave matter in Europe?

This paper investigates the role of the extended parental leave in the return to work for mothers of newborn children. Exploiting the variability in policies offered by the European countries, the paper studies the influence of statutory leave characteristics—length of the job-protection and payments during the leave-period—on the hazard of returning to work at different ages of the child. Results suggest that longer periods of job-protection increase the hazard of returning to work; on the other hand, providing paid leaves increases the probability of remaining at home during the first year of life of the child.     

Longevity and concentration in survival times: the log-scale-location family of failure time models

Evidence suggests that the increasing life expectancy levels at birth witnessed over the past centuries are associated with a decreasing concentration of the survival times. The purpose of this work is to study the relationships that exist between longevity and concentration measures for some regression models for the evolution of survival. In particular, we study a family of survival models that can be used to capture the observed trends in longevity and concentration over time. The parametric family of log-scale-location models is shown to allow for modeling different trends of expected value and concentration of survival times. An extension towards mixture models is also described in order to take into account scenarios where a fraction of the population experiences short term survival. Some results are also presented for such framework. The use of both the log-scale-location family and the mixture model is illustrated through an application to period life tables from the Human Mortality Database.     

An examination of paternal and maternal intergenerational transmission of schooling

More educated parents are observed to have better educated children. However, previous research has found conflicting results regarding the role of fathers and mothers: in most cases, a strong positive paternal effect was found with a negligible maternal effect; in fewer cases, opposite results were found. In this paper, I use a sample of Norwegian twins to evaluate the impact of sample size and sample selection on the estimates’ robustness: results concerning the effect of mother’s education are very sensitive to the sample size, while the selection of the sample seems to be a key to reconciling previous results.     

Optimal designs for discriminating between some extensions of the Michaelis–Menten model

In this paper some results on the computation of optimal designs for discriminating between nonlinear models are provided. In particular, some typical deviations of the Michaelis–Menten model are considered. A common deviation of this pharmacokinetic model consists on adding a linear term. If two linear models differ in one parameter the T-optimal design for discriminating between them is c-optimal for estimating the added linear term. This is not the case for nonlinear models.