Kathryn Crawford

Knowledge mobilisation in communities through socio-technical systems

Enterprises in both the public and private sector undertake knowledge management (KM) initiatives through which they hope to engender a new, more adaptive and flexible culture of learning and innovation in their organisations. Creative activities involving social learning and innovation are, however, more common in less formal entities such as communities of practice at work and community service organisations in civil society. This paper presents the results and implications of collaborative research into the understanding, development and evaluation of socio-technical systems (STS) designed to mobilise collective knowledge in diverse community settings. The research concerns information and communication technologies (ICT)-mediated activities of communities in the broader civil society and also those in formal organisations. The paper describes and critically evaluates a set of three STS that have the potential to support the collective knowledge of innovative groups, teams and networks, which can all be considered forms of community. The findings could be of strategic value to business, government and community service organisations initiating KM programmes aimed at using collective learning to support innovation.

Xeena for schema: creating XML documents with a coordinated grammar tree

The vast heterogeneous network that is the World Wide Web requires common languages to facilitate the exchange and display of data and information in many forms. The Word Wide Web Consortium (W3C) developed the extensible markup language (XML) for this purpose. XML documents are produced automatically by applications or manually by users. When users do not produce documents regularly or when document languages are large and complex, manual editing can be a challenge. In these situations, better manual editing facilities that guide users and ease the burden of learning and recalling XML languages are needed. We present an XML editor design implemented in our Xeena for schema editor that addresses these needs. It is based on a new tree based grammar view that guides novice users and empowers experienced users to build XML documents. It lets users see and edit multiple levels of potential elements, unlike existing editors that present only one level of potential elements. We demonstrate its key features, present our grammar tree view design both informally and formally, and describe a user evaluation that supports the usability of our design.