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Next Generation Knowledge Networks PhD Report for Supervision Committee Max Rohde, May 5 2010

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Next Generation Knowledge NetworksPhD Report for Supervision Committee

Max Rohde, May 5 2010

Agenda` ` ` ` ` ` `

Research Background and Motivation Preliminary Research Design Research Directions Results Publications, Prototype Work in Progress Preliminary Artefacts Next steps

A Knowledge Perspective



Rohde and Sundaram, 2010c

Knowledge Management Issues

Rohde and Sundaram, 2010a

Knowledge Divides`



Structured Unstructured ` Organizations employ effective systems to manage both unstructured and structured knowledge: unstructured knowledge is supported by various content management and personal information management tools; structured knowledge is managed by transactional systems such as ERP systems. However, the integration between systems focussing on unstructured or structured information is often weak. It is, for instance, difficult to link the transactional data in ERP systems with unstructured information such as emails or twitter messages. Individual Organization ` The management of both individual and organizational information are well-supported individually but they are often not well integrated. Individuals, for instance, build their own knowledge toolkits, which remain inaccessible for the organization (Thompson & Walsham, 2004). Most personal information is carefully stored away on desktop computers, which are often not accessible by organizations (Ducheneaut & Bellotti, 2001). Dynamic Static ` Organizations apply knowledge in the continuous challenge to adapt themselves to a changing environment (Weick & Sutcliffe, 2006). Herein, organizational knowledge bases are often too inflexible to be of use for the situational application of knowledge. Moreover, knowledge creation activities are often perceived as interfering with every day work practices (Kwan & Balasubramanian, 2003). This misalignment between knowledge capabilities and the contexts, in which knowledge is applied, is a persistent gap preventing efficient organizational adaption.

Research Questions`

How can structured and unstructured information be integrated using mechanisms of loose coupling? (RQ1) How can individual and organizational information spaces, procedures and goals be balanced and integrated to allow informed individual and organizational decisions? (RQ2) How can context-sensitive organizational knowledge be facilitated in seamless integration with organizational practices? (RQ3) How we can design, implement and evaluate a knowledge management system, which supports organizations in overcoming the knowledge divides while considering and informing the theoretical findings of our study? (RQ4)




Research Design

Research Process

Research Directions` ` ` ` ` ` ` `

Knowledge Network Thinking Compose Rather Than Edit Loose Data Integration Fine Grained Ownership Discrete Value Allocation Domain-Independence Contextualization Non-Invasiveness Rohde and Sundaram, 2009


Rohde and Sundaram, forthcoming, "Challenges in Knowledge Management", AMCIS 2010 Rohde and Sundaram, 2010, "Knowledge Composition: Theory, Architecture and Implementation", eKNOW 2010 Rohde and Sundaram, 2010, "Knowledge between Capability and Enactment: Towards Dynamic Knowledge Potentials", eKNOW 2010 Rohde, 2009, "An Integrated Collaboration Platform for Sustainable Development: Project Proposal and Initial Exploration", ORSNZ 2009citeulike




Prototype` `

Linnk 0.9.7 Build 3 Test and Requested Feature List

Work in Progress`

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Next Generation Knowledge Networks: A Design Science Approach submitted to PACIS 2010 Doctoral Consortium Computer Supported Knowledge Network Interaction draft Work Context in planning

Work Contexts in Prototype

Work Contexts

Computer Supported Knowledge Network Interaction

Next Generation Knowledge NetworksKnowledge Networks Formal Knowledge process focus Social Exclusive Tacit Qual/Quant and action research Next Generation Knowledge Networks Ad hoc Business process focus Socio-technological Inclusive Encultured, embrained, embodied, embedded and encoded Design science research






Methodology and Evaluation`

Experiment: Is working with knowledge in a network fashion better than working with knowledge in a hierarchical or linear structure?`

` ` `

Deploy three versions of software: One allows working with knowledge in a linear fashion, the others in a hierarchical and network fashion. Give a task to users. (eg compile a project report) Qualitative measure: quality of the created report, completeness of report, errors in report Quantitative measure: Duplication of content, average length of paths between information pieces,


Case study: Use the software as tool used by one or more project teams to encourage innovation. Interpretative (See as: encourage innovation in projects)

Next Steps13th Conference on Knowledge Management and Intelligent Decision Support, Brisbane, Queensland, 28-30 November 2010

Next Steps` `

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