phd progress presentation
TRANSCRIPT
Next Generation Knowledge Networks
PhD 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
Capability Context
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
http://nexnet.wordpress.com/2010/04/04/knowledge-networks-project-directions-and-assumptions/
Publications 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 2009
citeulike
Prototype Linnk 0.9.7 Build 3 Test and Requested Feature List
Work in Progress ‘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 Networks
Knowledge Networks Next Generation Knowledge Networks
Formal Ad hoc
Knowledge process focus Business process focus
Social Socio-technological
Exclusive Inclusive
TacitEncultured, embrained, embodied, embedded and encoded
Qual/Quant and action research Design science research
http://nexnet.wordpress.com/2010/05/04/knowledge-networks-and-next-generation-knowledge-networks/
Theory
Network Flow
Framework
Architecture
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 Newsletter Members on project website