35 research outputs found

    The Impact of Psychological Empowerment of Project-Oriented Employees on Project Success: A Moderated Mediation Model

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    In the current era of accelerated economic growth, project success – successful completion of the final product for which the project was initiated – is the ultimate goal of every organisation. It is essential for organisations to keep project-based employees motivated and focused on successfully accomplishing the project objectives. This research examined the association between psychological empowerment of project-based employees and project success. We explored the mediating role of knowledge sharing to explain the intervening mechanism between psychological empowerment and project success. We also tested the moderating role of employee creativity along with conditional indirect effects by performing a moderated mediation analysis. Using a time-lagged research design, multiple-source field data (N¼327) were collected from employees of project-based organisations in Pakistan. The findings of the study showed a positive association between psychological empowerment and project success and significant mediation of knowledge sharing. Project employees with high creativity are likely to achieve project success when they possess higher psychological empowerment too. Results concluded that psychological empowerment is positively associated with project success directly as well as indirectly through its impact on knowledge sharing. The study has its importance and implications for management specialists and project employees at all levels

    Évaluation de stratégies de gestion de la consommation pour des plateformes multiprocesseurs concrètes

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    The purpose of this study is to investigate how power management strategies can be efficiently exploited in actual platforms. Primarily, the challenges in multicore based embedded systems lies in managing the energy expenditure, determining the scheduling behavior and establishing methods to monitor power and energy, so as to meet the demands of the battery life and load requirements. The work presented in this dissertation is a study of low power-aware strategies in the practical world for single and multiprocessor platforms. The approach used for this study is based on representative multiprocessor platforms (real or virtual) to identify the most influential parameters, at hardware as well as application level, unlike many existing works in which these parameters are often underestimated or sometimes even ignored. The work analyzes and compares in detail various experimentations with different power policies based on Dynamic Voltage and Frequency Scaling (DVFS) and Dynamic Power Switching (DPS) techniques, and investigates the conditions at which these policies are effective in terms of energy savings. The results of these investigations reveal many interesting and notable conclusions that can serve as prerequisites for the efficient use of power management strategies. This work also shows the potential of advanced domain specific power strategies compared to real world available strategies that are general purpose based in their majority. Finally, some high level consumption models are derived from the different energy measurement results to let the estimation of power management benefits at early stages of a system development.L’objectif de cette thèse est d’étudier l’efficacité énergétique des stratégies basse consommation pour des plateformes représentatives. Principalement, nous nous intéresserons aux stratégies énergétiques pour des systèmes embarqués multicœur en étudiant le comportement de politiques logicielles qui permettent la réduction effective de l’énergie tout en répondant aux exigences applicatives. Le travail présenté dans ce mémoire vise à étudier des stratégies de gestion de la consommation pour des plateformes monoprocesseur puis multiprocesseur concrètes. L’approche utilisée pour cette étude fut basée sur des plateformes représentatives afin d’identifier les paramètres significatifs, aussi bien au niveau matériel qu’au niveau applicatif, à l’inverse de nombreux travaux dans lesquels ces paramètres sont assez peu pris en compte voir ignorés. Ce travail analyse et compare diverses expérimentations menées sur des politiques énergétiques basées sur des techniques DVFS (Dynamic Voltage and Frequency Scaling) et DPS (Dynamic Power Switching) et définit les conditions sous lesquelles ces stratégies sont efficaces. Ces expérimentations ont permis d’établir des conclusions remarquables qui peuvent servir de pré-requis lors de la définition de stratégies efficaces de gestion de la consommation. Ces résultats montrent également que pour obtenir des stratégies efficientes il est nécessaire de tenir compte du domaine applicatif. Enfin, il faut noter que les modèles de haut de niveau de consommation ont été définis sur la base des mesures effectuées et afin d’estimer les gains énergétiques dès les premières étapes d’un flot de conception
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