Abstract
In addition to capital infrastructure and consumers, digital information created by individual and corporate consumers of information technology is quickly being recognized as a key economic resource and an extremely valuable asset to a company. Organizational, Legal, and Technological Dimensions of Information System Administration recognizes the importance of information technology by addressing the most crucial issues, challenges, opportunities, and solutions related to the role and responsibility of an information system. Highlighting various aspects of the organizational and legal implications of system administration, this reference work will be useful to managers, IT professionals, and graduate students who seek to gain an understanding in this discipline.

Abstract
This chapter intends to address the needs and the involvement to support communities of innovation in the process of the generation of new ideas. The relevance of this document focuses on information systems and socio-semantics collaborative networks. The support of collaboration is not a new need to human activities in business. Nevertheless, it has major importance due the temporal limitations of the innovative context. In fact, having an idea is not enough. It is necessary to put it on the ground before the competitors. The authors conclude that technology can facilitate the generation of new ideas, benefit business collaboration, and help increase the rate and efficiency in the generation of new ideas, while reducing the time spent in the negotiation of consensus and decreasing the implicit cost in the overall process. It is expected to contribute to the (re)utilization of the innovation memory and to preserve the organizational knowledge.

Abstract
This chapter intends to address the needs and the involvement to support communities of innovation in the process of the generation of new ideas. The relevance of this document focuses on information systems and socio-semantics collaborative networks. The support of collaboration is not a new need to human activities in business. Nevertheless, it has major importance due the temporal limitations of the innovative context. In fact, having an idea is not enough. It is necessary to put it on the ground before the competitors. The authors conclude that technology can facilitate the generation of new ideas, benefit business collaboration, and help increase the rate and efficiency in the generation of new ideas, while reducing the time spent in the negotiation of consensus and decreasing the implicit cost in the overall process. It is expected to contribute to the (re)utilization of the innovation memory and to preserve the organizational knowledge.

Abstract
Carsharing is a model of renting vehicles for short periods of time, where the payment is made according to the time and distance effectively traveled. Carsharing offers a simple, economical and smart alternative to urban mobility, that is already being adopted in the major cities in the world. The proposed methodology consisted in the development of a decision support system that simplifies the process of choosing carsharing services. Adopting the AHP method, the user can indicate their preferences in the choice of vehicles, and the system returns an ordered list of the most suitable available vehicles based on their geographic location. The findings of the project indicate that the use of this system encourage and simplify the use of carsharing services, which will allow to enhance the financial, mobility and environment advantages inherent to their use.

Abstract
Innovation is seen as a key element of an organization’s competitiveness. Along with the current imperative for innovation comes the need to adequately measure it. The purpose of this paper is to perform a literature review in the field of innovation performance models and metrics. The performed work aims to make an important contribution by facilitating the identification and categorization of innovation performance models and metrics formulated until the present time. A survey methodology was adopted to identify the most predominant contributions in the field. For that, the top three most popular bibliometric indexes (Web of Science, Scopus, and Google Scholar) were used. Then, the top ten most relevant studies on innovation performance models and metrics were compared to determine similarities and differences between each generation of models and metrics. Finally, the main innovation performance models and metrics were identified, classified and compared.

Abstract