Abstract
Selecting the best desirable Enterprise Resources Planning (ERP) system has been a critical problem for organizations for a long time, as the failure on the selection process may have a highly negative impact in terms of costs and market share of a company. It is one of the most important decision making issues covering both qualitative and quantitative factors for organization. Multiple-criteria decision-making has been proved to be a useful approach to analyze these conflicting qualitative and quantitative factors. Literature offers proposals and approaches to handle this kind of problem; Analytic Hierarchy Process (AHP) has been applied successfully in most cases of software packages selection problems. This paper proposes an AHP model for the selection of an ERP system. The model's set of criteria was extracted from the literature review and validated by Portuguese organizations. This model can be applied in the ERP system selection using a software application that is under development. This software application eases the application of the AHP process to the selection of ERP packages and will provide input from real-world cases that will allow updating and refining the model.

Abstract
Effective and efficient implementation of intelligent and/or recently emerged networked manufacturing systems require an enterprise level integration. The networked manufacturing offers several advantages in the current competitive atmosphere by way to reduce, by shortening manufacturing cycle time and maintaining the production flexibility thereby achieving several feasible process plans. The first step in this direction is to integrate manufacturing functions such as process planning and scheduling for multi jobs in a network based manufacturing system. It is difficult to determine a proper plan that meets conflicting objectives simultaneously. This paper describes a mobile-agent based negotiation approach to integrate manufacturing functions in a distributed manner; and its fundamental framework and functions are presented. Moreover, ontology has been constructed by using the Protege software which possesses the flexibility to convert knowledge into Extensible Markup Language (XML) schema of Web Ontology Language (OWL) documents. The generated XML schemas have been used to transfer information throughout the manufacturing network for the intelligent interoperable integration of product data models and manufacturing resources. To validate the feasibility of the proposed approach, an illustrative example along with varied production environments that includes production demand fluctuations is presented and compared the proposed approach performance and its effectiveness with evolutionary algorithm based Hybrid Dynamic-DNA (HD-DNA) algorithm. The results show that the proposed scheme is very effective and reasonably acceptable for integration of manufacturing functions.

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Abstract
There is an increasing recognition that the competitive advantage of firms depends on their ability to create, transfer, utilize, develop and protect the Organizational knowledge assets. Therefore, the projects context should be wisely used for properly foster the learning collection through the lessons learned gathered during project life cycle. However, organizations do not seem to learn from their mistakes, rarely exploring the reasons for their projects’ success or failure, and very rarely applying those lessons learned to the business management. In fact, there is little or no point in learning unless management adapts its behavior accordingly. Usually top management does not give sufficient resources for activities such as reflecting and learning. This research is focused on assessing the organizational environment in order to properly explore the factors and dependencies amongst the social demographic variables. The questions addressed intent to highlight the key determinants that might foresee a proper learning and knowledge management environment. © Springer International Publishing Switzerland 2016.

Abstract
The article presents the results of the study and comparison of innovation of Portuguese and Polish companies. For this research, the perspective is taken from innovation based in intangible factors, trying to measure, above all, the organizational culture of companies on innovation. The results state that Portuguese firms are less innovative than Polish ones. At the same time, in both countries manufacturing companies are more innovative than companies in the construction sector. In the case of Polish companies it was demonstrated that there was a relationship between the size and age of the innovation. The research results will be used to assess the culture of enterprises' innovation in other countries.

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