The recent innovation literature has increasingly emphasized the efficient use of knowledge and information not only inside the company borders, but particularly the knowledge locating outside the company borders, such as the knowledge of customers and users. In addition, the co-creation of new knowledge has gained fast in importance. Various types of collaborative web tools and approaches, such as social media, can enable and significantly increase the collaboration, the collaborative knowledge creation and the use of the distributed knowledge both within and outside the company borders. In this paper, we have studied the role and possibilities of social media in the sharing and creation of customer information and knowledge especially from the perspective of business-to-business companies’ innovation with an extensive literature review. Business-to-business context was chosen because it is in many ways a very different environment for social media than business-to-consumer context, and is
currently very little academically studied.
Knowledge, innovation and practice are interrelated, but the management of their relations is far from an easy and straightforward task. Facilitating knowledge services are needed. This paper explores the theory of converging knowledge, innovation, and practice, and the implications for its facilitation. A trialogical approach to knowledge creation is presented as a viable theoretical starting point. Theoretical considerations are complemented with two examples of novel knowledge services: Opasnet and Innovillage. Eventually, conclusions are drawn upon the main issues to address in future development of services to support convergence of knowledge, innovation, and practice.
We introduce a framework for a new idea tool Note, which gathers, fosters and manages innovative ideas. Note supports the development of organizational memory and is connected to the practices of organizational innovativeness. The tool utilizes text mining methods in idea processing, management and visualization and is thus a new approach in idea management software. The tool is under development.
Creating Profound Change and Radically New Knowledge as Core Challenges in Knowledge Management
This paper introduces an alternative approach to innovation: Emergent Innovation. As opposed to radical innovation Emergent Innovation finds a balance and integrates the demand both for radically new knowledge and at the same time for an organic development from within the organization. From a knowledge management perspective one can boil down this problem to the question of how to cope with the new and with profound change in knowledge. This question will be dealt with in the first part of the paper. As an implication the alternative approach of Emergent Innovation will be presented in the second part: this approach looks at innovation as a socio-epistemological process of “learning from the future”.
In this paper, adopting a structurationist perspective on technology, we explore the relationship between organizational forms and ICTs when the “matter” to deal with is knowledge production and innovation. The reason why such focus is relevant is twofold. On the one hand it has been widely underlined the importance of knowledge as strategic asset [Stewart 97]. On the other, is because we believe that many KM technology investments haven’t generate the expected results and benefits [Davenport 00]. A structuration theory reading of KM technologies could provide a lens in order to draw some interesting explanations on some problematic aspects of KM implementations and, moreover, on some interesting prescriptions on how future implementations should be approached.
This paper aims at analyzing by bibliometric methods the economic literature dealing with Innovation in Services, giving at the same time an overview of the main topics of discussion. To achieve this, the software toll BibTechMon was useed. Our analysis shows that in the last 15 years attention has been primarily focused on technological change in telecommunications, media and the software industry and its consequences for the market structure in these sectors. These results are supported by an additional cluster analysis.