In this study, we predict that higher levels of relative deprivation and higher levels of task mastery constitute two pathways through which perceived overqualification (POQ) has indirect and opposing effects on task performance. Further, we predict that occupational instrumentality, the degree to which the individual regards their job as a stepping stone to future career opportunities, will serve as a moderator for both pathways. Across two studies, as well as a supplementary study, we found evidence that POQ is positively associated with followers’ perceptions of both task mastery and relative deprivation. In both studies, we also found consistent evidence for a positive indirect effect between POQ and task performance via perceptions of task mastery. This indirect relationship was observed for both self‐rated (Studies 1 and 2) and manager‐rated task performance (Study 2). Further, occupational instrumentality mitigated the positive relationship between POQ and relative deprivation. Overall, the results suggest that POQ–task performance relationship is a function of dual pathways that work in opposing directions and that the ability to see the job as a stepping stone is instrumental in determining the strength of these pathways. Practitioner points Our findings suggest that when employees feel overqualified for their jobs, it can have both positive and negative effects on their level of task performance. On the one hand, when employees feel they are overqualified they may feel resentment and demotivation at work. On the other hand, such employees are also more likely to master the skills needed to perform their jobs at a high level. The demotivating effects of perceived overqualification on task performance depend on the degree to which employees regard their jobs as a stepping stone to future career opportunities. Organizations or managers of employees who feel overqualified should consider ways to highlight how their job connects to future career opportunities and offers advancement potential.
Objectives: In December 2019, a novel coronavirus disease (COVID-19) emerged in Wuhan city, China, which has subsequently led to a global pandemic. At the time of writing, COVID-19 in Wuhan appears to be in the final phase and under control. However, many other countries, especially the US, Italy and Spain, are still in the early phases and dealing with increasing cases every day. Therefore, this article aims to summarise and share the experience of controlling the spread of COVID-19 in Wuhan and provide effective suggestions to enable other countries to save lives. Study design: Data from the National Health Commission of China are used to investigate the evolution trajectory of COVID-19 in Wuhan and discuss the impacts of the intervention strategies. Methods: A four-stage modified Susceptible-Exposed-Infectious-Removed (SEIR) model is presented. This model considers many influencing factors, including chunyun (the Spring festival), sealing off the city and constructing the Fangcang shelter hospitals. In addition, a novel method is proposed to address the abnormal data on 12e13 February as a result of changing diagnostic criteria. Four different scenarios are considered to capture different intervention measures in practice. The exposed population in Wuhan who moved out before sealing off the city have also been identified, and an analysis on where they had gone was performed using the Baidu Migration Index. Results: The results demonstrate that the four-stage model was effective in forecasting the peak, size and duration of COVID-19. We found that the combined intervention measures are the only effective way to control the spread and not a single one of them can be omitted. We estimate that England will be another epicentre owing to its incorrect response at the initial stages of COVID-19. Fortunately, big data technology can help provide early warnings to new areas of the pandemic. Conclusions: The four-stage SEIR model was effective in capturing the evolution trajectory of COVID-19. Based on the model analysis, several effective suggestions are proposed to prevent and control the pandemic for countries that are still in the initial phases.
Social exchange theorists argue that organizations that provide developmental assignments raise employee commitment. But such assignments may also undermine commitment by increasing the recipients' value in the external labor market. We compare the effect of developmental assignments on organizational commitment with that of other development practices: coaching, mentoring, training, and support from the direct superior and senior management. We also test whether synergies arise when developmental assignments are combined with the other development practices. Using a sample of 312 highly skilled professionals working in over sixty countries, in a variety of industries and fi rms of various sizes, we fi nd that developmental assignments are the strongest driver of organizational commitment, together with support from senior management. The positive relationship between developmental assignments and organizational commitment is weaker in the presence of other development practices.
Background Exosomes secreted from stem cells exerted salutary effects on the fibrotic liver. Herein, the roles of exosomes derived from human embryonic stem cell (hESC) in anti-fibrosis were extensively investigated. Compared with two-dimensional (2D) culture, the clinical and biological relevance of three-dimensional (3D) cell spheroids were greater because of their higher regeneration potential since they behave more like cells in vivo. In our study, exosomes derived from 3D human embryonic stem cells (hESC) spheroids and the monolayer (2D) hESCs were collected and compared the therapeutic potential for fibrotic liver in vitro and in vivo. Results In vitro, PKH26 labeled-hESC-Exosomes were shown to be internalized and integrated into TGFβ-activated-LX2 cells, and reduced the expression of profibrogenic markers, thereby regulating cellular phenotypes. TPEF imaging indicated that PKH26-labeled-3D-hESC-Exsomes possessed an enhanced capacity to accumulate in the livers and exhibited more dramatic therapeutic potential in the injured livers of fibrosis mouse model. 3D-hESC-Exosomes decreased profibrogenic markers and liver injury markers, and improved the level of liver functioning proteins, eventually restoring liver function of fibrosis mice. miRNA array revealed a significant enrichment of miR-6766-3p in 3D-hESC-Exosomes, moreover, bioinformatics and dual luciferase reporter assay identified and confirmed the TGFβRII gene as the target of miR-6766-3p. Furthermore, the delivery of miR-6766-3p into activated-LX2 cells decreased cell proliferation, chemotaxis and profibrotic effects, and further investigation demonstrated that the expression of target gene TGFβRII and its downstream SMADs proteins, especially phosphorylated protein p-SMAD2/3 was also notably down-regulated by miR-6766-3p. These findings unveiled that miR-6766-3p in 3D-hESC-Exosomes inactivated SMADs signaling by inhibiting TGFβRII expression, consequently attenuating stellate cell activation and suppressing liver fibrosis. Conclusions Our results showed that miR-6766-3p in the 3D-hESC-Exosomes inactivates smads signaling by restraining TGFβRII expression, attenuated LX2 cell activation and suppressed liver fibrosis, suggesting that 3D-hESC-Exosome enriched-miR-6766-3p is a novel anti-fibrotic therapeutics for treating chronic liver disease. These results also proposed a significant strategy that 3D-Exo could be used as natural nanoparticles to rescue liver injury via delivering antifibrotic miR-6766-3p. Graphical Abstract
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.