Validation of the Knowledge Management Implementation and Recommendation Framework (KMIR)
Dear knowledge workers, herewith we would like to invite you to participate in the first validation phase of the Knowledge Management Implementation and Recommendation Framework (KMIR). KMIR supports organizations in the successful introduction of KM. It follows the holistic approach of a KM introduction by considering technological, organizational and human aspects, as well as the organizational culture in equal measure. The framework provides recommendations based on Case-Based Reasoning (CBR) techniques and Semantic Web technologies. Currently, KMIRcomprises 30 episodic Best Practice Cases of a KM Introduction, which in turn dispose of more than 130 Problem-Solution pairs. More information about KMIR is available here. Now, we try to find out the basic ability of the KMIR framework to automatically find appropriate solutions for given knowledge problems. For that purpose, we need authentic knowledge problem descriptions of the real world (e.g. "permanently reinventing the wheel"), in order to check if the system is able to find solutions for them. So, if you are interested in participating in the validation phase, please have a look on the following page, in order to get more information. Please note, that problems can be specified in English or German language (there is a button in the "main menu" to switch between the languages). If you have further Questions, please feel free to contact me. Background Our current research activities focus on the identification of relevant indicators for the characterization of Best Practice Cases (BPCs) for KM introduction projects, as well as for the portability of these BPCs to other organisations. In this context, we have scanned relevant KM literature and web pages for generating a basic set of indicators and verified these indicators through an open internet survey (n=103). Here, the respondents could prioritize the proposed indicators and assign them to one or more predefined classification schemes. We distinguished between indicators for the general description of an organisation, critical KM success factors, and indicators for the transferability of KM BPCs to other organisations. The results of the survey are available here. In a next step, the results were used as an input for the development of an ontology-based reference model for KM BPCs. A document, which summarizes the survey results and the development of the reference model can be downloaded here. The reference model in turn provided a conceptual basis for the above-named KMIR Framework. Thanks in advance and best regards, Mark Hefke