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Two main approaches to knowledge management (KM) have been followed by early adopters of the principle: the process‐centred approach, that mainly treats KM as a social communication process; and the product‐centred approach, that focuses on knowledge artefacts, their creation, storage and reuse in computer‐based corporate memories. This distinction is evident not only in KM implementations in companies, but also in supporting methodologies and tools. This paper presents the Know‐Net solution that aims to innovatively fuse the process‐centred approach with the product‐centred approach by developing a knowledge asset‐centric design. The Know‐Net solution includes a theoretical framework, a corporate transformation and measurement method and a software tool.

An increasing number of enterprises are getting interested in exploiting their knowledge assets outside the organizational borders and in augmenting their knowledge network. A first generation of electronic knowledge marketplaces has been developed in order to provide the platforms for knowledge exchange and trading at inter‐organizational level. This paper develops a framework to evaluate the strategic issues, business models, roles, processes, and revenue models of knowledge trading platforms, and provides a detailed analysis of five existing knowledge marketplaces based on this framework. Finally, a set of conclusions is drawn on what issues should be addressed in a knowledge marketplace in order to eliminate the risks and gain the trust of its targeted customers.

The Know‐Net knowledge management solution, that includes a theoretical framework, a consulting method and a software tool, is based on a knowledge asset‐centric design that innovatively fuses the process or human approach with the product or content approach of knowledge management. This paper describes how Know‐Net was applied in four companies of the software sector. It outlines how specific business areas such as an R&D unit, the bid management process and collaboration between geographically‐dispersed teams can benefit from knowledge management. It outlines the role specific Know‐Net components played within the transformation of existing business processes and structures, and provides key recommendations based on this experience.

The purpose of this paper is to perform an extensive literature review in the area of decision making for condition-based maintenance (CBM) and identify possibilities for proactive online recommendations by considering real-time sensor data. Based on these, the paper aims at proposing a framework for proactive decision making in the context of CBM.

Starting with the manufacturing challenges and the main principles of maintenance, the paper reviews the main frameworks and concepts regarding CBM that have been proposed in the literature. Moreover, the terms of e-maintenance, proactivity and decision making are analysed and their potential relevance to CBM is identified. Then, an extensive literature review of methods and techniques for the various steps of CBM is provided, especially for prognosis and decision support. Based on these, limitations and gaps are identified and a framework for proactive decision making in the context of CBM is proposed.

In the proposed framework for proactive decision making, the CBM concept is enriched in the sense that it is structured into two components: the information space and the decision space. Moreover, it is extended in a way that decision space is further analyzed according to the types of recommendations that can be provided. Moreover, possible inputs and outputs of each step are identified.

The paper provides a framework for CBM representing the steps that need to be followed for proactive recommendations as well as the types of recommendations that can be given. The framework can be used by maintenance management of a company in order to conduct CBM by utilizing real-time sensor data depending on the type of decision required.

The results of the work presented in this paper form the basis for the development and implementation of proactive Decision Support System (DSS) in the context of maintenance.

The purpose of this paper is to explore the use of information aggregation markets (IAMs) for community‐based idea management and to present IDeM, a novel Internet‐based software tool that can be used for generating and evaluating new ideas utilizing the concept of IAMs.

Starting with a review of existing methods for collective intelligence, IAMs are identified as a prominent method for collective intelligence. Specific requirements for exploring IAMs for idea management are derived. Based on these requirements, a software tool for implementing IAMs in the context of idea management is developed (IDeM). IDeM has been evaluated and evaluation results are used to identify IDeM's benefits and limitations. A review of related work points out the innovative characteristics of IDeM.

Evaluation results indicate that IAMs is an efficient method for idea generation and evaluation. Moreover IDeM is perceived both as easy to use and efficient in supporting idea generation and evaluation.

IDeM can be used by commercial or other organizations for supporting generation and evaluation of new ideas.

IDeM's innovative aspects are: in addition to trading, it allows users involvement by means of new idea submission, rating of ideas and commenting on ideas; it confronts the uncertainty of new idea related events by offering an expert based valuation mechanism.; and it extends the typical output of IAM tools – which is price of idea‐stocks – by calculating the volume weighted average price.