4 resultados para Proceedings of personnel management

em Universidad Politécnica de Madrid


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Today's knowledge society is creating increasingly competitive environments in which cognitive factors, creativity, knowledge and information determine the success of organizations. In this context the exercise of management and leadership is essential to achieve objectives, goals and relationships. Both concepts have been historically associated with the male domain because of the underrepresentation of women in managerial positions. However, the increasing participation of women in the workplace has led to the development of an extensive literature on the possible existence of differences between the styles of male and female leadership, although it has not been addressed from the analysis of competences associated with each sex. Through a participatory process the abilities and skills associated with women managers are analyzed, the differences in leadership styles and the barriers that still exist for the promotion of women into management positions. The results indicate that women particularly value the skills associated with human relationships, the female leadership style tends to be transformational and that there are still barriers to their advancement to management positions.

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From the moment we enter a large office building until we leave it, we receive a lot of attentions served by the management of services to the user. However, it is usually quite inappreciable the work that is being developed to keep things running smoothly.The services provided in a building are carried out by people. However, we often tend to forget these people when we talk about the tasks that make that a building operates properly 24 hours a day, 365 days a year.But, for example, what would happen if one day the service provided by the reception in a large building did not function as it should? What would it be like if one day the person performing the service of maintenance of the building's cleaning were not at his post? How would the working day develop if there were not a correct air handling system?People are the foundation of the proper functioning of a building. The work of the Facilities Manager and the Facility Management is the management of their functions: the responsible management of the team.

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From the moment we enter a large office building until we leave it, we receive a lot of attentions served by the management of services to the user. However, it is usually quite inappreciable the work that is being developed to keep things running smoothly. The services provided in a building are carried out by people. However, we often tend to forget these people when we talk about the tasks that make that a building operates properly 24 hours a day, 365 days a year. But, for example, what would happen if one day the service provided by the reception in a large building did not function as it should? What would it be like if one day the person performing the service of maintenance of the building's cleaning were not at his post? How would the working day develop if there were not a correct air handling system? People are the foundation of the proper functioning of a building. The work of the Facilities Manager and the Facility Management is the management of their functions: the responsible management of the team.

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Since the beginning of Internet, Internet Service Providers (ISP) have seen the need of giving to users? traffic different treatments defined by agree- ments between ISP and customers. This procedure, known as Quality of Service Management, has not much changed in the last years (DiffServ and Deep Pack-et Inspection have been the most chosen mechanisms). However, the incremen-tal growth of Internet users and services jointly with the application of recent Ma- chine Learning techniques, open up the possibility of going one step for-ward in the smart management of network traffic. In this paper, we first make a survey of current tools and techniques for QoS Management. Then we intro-duce clustering and classifying Machine Learning techniques for traffic charac-terization and the concept of Quality of Experience. Finally, with all these com-ponents, we present a brand new framework that will manage in a smart way Quality of Service in a telecom Big Data based scenario, both for mobile and fixed communications.