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Designing Knowledge Infrastructures

Designing Knowledge Infrastructures Organizations and Society in Information Systems (OASIS) 2004 Workshop December, 12th, 2004. Ronald Maier Dept. of Management Information Systems, Information Systems Leadership Martin-Luther-University Halle-Wittenberg. Overview. Motivation

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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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