is an open access repository that collects the work of Arts et Métiers ParisTech researchers and makes it freely available over the web where possible. In a very uncertain and competitive economy, companies have to cope with external constraints such as environmental and social issues, to gain competitive advantage. Over the last thirty years, numerous initiatives have appeared to deal with socio-environmental issues. However, contexts are complex and dynamics. Many authors therefore point out the need to establish a systemic perspective in order to improve the integration of sustainable issues into all company activities: from strategic decision-making to the end of the project. In addition, companies need to reinforce the relationship between general corporate development and eco-design activities. Based on literature review, this paper assumes that the integration of sustainability can be improved by developing a coherent and system approach between strategic, tactical and operational levels. The authors have chosen to demonstrate this assumption by targeting the environmental aspect of sustainability as a first step of their overall research. In this view, this paper proposes a navigation system composed of three modules: strategic, tactical and operational. This navigation system provides some pragmatic roadmaps for integrating environment into the company. Each module is linked to the others by the use of appropriate metrics. Bottom-up and top-down or middle-to-sides strategies are fully supported.To test this proposal, the navigation system is experimented retrospectively into an industrial process from the textile industry. The comparison between the initial situation and the experimental results allows authors to highlights potential environmental improvements. Some recommendations are made to challenges companies to use this navigation system, which argues in favor of environmental improvements.

No abstract

Part 4: Components of Knowledge FlowInternational audienceStrategic Knowledge Management considers Intellectual Capital (IC) as roots of all organizations activities. The success of organizations strongly depends on the way they manage all facets of knowledge and skills. Artificial Intelligence brought some methods and techniques for handling intellectual assets of companies, expertise management, knowledge transfer and training. This paper presents an overview of experiences and research in applying artificial intelligence approaches and techniques for intellectual capital management and gives some perspectives for the future

No abstract

No abstract