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Designing Knowledge Infrastructures

This workshop, held on December 12, 2004, examines the integration of knowledge infrastructures in organizations to enhance knowledge management (KM) processes. It discusses various frameworks and models that support knowledge work, emphasizing the importance of collaboration, contextualization, and personalization within ICT platforms. Key topics include enterprise knowledge infrastructures, knowledge services, and differentiating knowledge infrastructures from traditional information systems. The session aims to explore how organizations can foster effective knowledge sharing and collaboration through well-designed KM systems.

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Designing Knowledge Infrastructures

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  1. Designing Knowledge Infrastructures Organizations and Society in Information Systems (OASIS) 2004 WorkshopDecember, 12th, 2004 Ronald MaierDept. of Management Information Systems, Information Systems Leadership Martin-Luther-University Halle-Wittenberg

  2. Overview • Motivation • Enterprise Knowledge Infrastructures (EKI) • Framework for integrated design of knowledge work • Discussion

  3. Knowledge Infrastructures • Multiple terms used vaguely • knowledge (management) infrastructure, knowledge warehouse • organizational memory system • KM tools, software, combination of tools applied with KM in mind • KM platforms, suites, systems • What separates knowledge infrastructures from more traditional IS? • Intranet infrastructures, • document and content management systems, • artificial intelligence tools, • business intelligence tools, • Groupware or collaboration tools, • e-learning systems, • What can we learn from this for modeling knowledge work?

  4. Definition of Knowledge Infrastructure • a comprehensive ICT platform • for collaboration and knowledge sharing • with advanced knowledge services built on top that are • contextualized, • integrated on the basis of a shared ontology and • personalized • for participants networked in communities. • foster the implementation of KM instruments • in support of knowledge processes • targeted at increasing organizational effectiveness.

  5. Knowledge work… • solves weakly structured problems with a high degree of variety and exceptions, • is creative work and requires creation, acquisition, application and distribution of knowledge, • uses intellectual abilities and specialized knowledge rather than physical abilities, • requires a high level of education, training and experiences resulting in skills and expertise, • is often organized decentrally using new organizational metaphors, • bases inputs and outputs primarily on data and information, • has strong communication needs and is highly mobile and distributed, • and thus requires a strong yet flexible support by information and communication technologies.

  6. knowledge worker I – access services authentication; transformation for diverse applications and appliances II – personalization services identity management; person-, process-, project- or role-oriented knowledge portals III – knowledge services discovery search, visuali- zation, navigation collaboration competence mgmt., community spaces learning authoring, course mgmt., tutoring publication structuring, contextualization IV – integration services semantic integration based on ontologies; user, function, process integration V – infrastructure services Intranet infrastructure services (e.g., storage, access, messaging, security services); extract, transformation, loading, inspection services … Intranet/Extranet: messages, contents of CMS,E-lear- ning platforms DMS documents, files from office information systems data from RDBMS, TPS, data warehouses personal information manage- ment data content from Internet, WWW, newsgroups data from external online data bases VI – data and knowledge sources Architecture of Knowledge Infrastructure

  7. KM Instrument Definition ICT-supported KM instrument: • consist of an aligned collection of organizational, HRM and ICT measures • that can be deployed purposefully in order to achieve knowledge-related goals, • independent of a particular knowledge domain.

  8. Knowledge Processes

  9. Designing EKI – Modeling for Knowledge Work

  10. ResearchQuestions • How do we model knowledge work? • knowledge as product vs. process vs. knowledgeable people • completeness vs. understandability • concepts for analysis versus design of knowledge work • person, product, process, productivity tools • How do we support it with knowledge infrastructures? • task, knowledge, community, learning spaces • seamless integration of personal and organizational KM environment • inter-organizational knowledge infrastructures - standardization • How do we measure success? • productivity of knowledge work • success of knowledge infrastructures

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