Shirlee-ann Knight

Toward a Web Search Information Behavior Model

Information retrieval (IR) research in the context of the Web involves a number of complex processes. Some are user-related and include cognitive processes, motivational issues, information needs, technology attitude and adoption; and some are system related and include search engine algorithms and interface design. The field currently lacks a comprehensive model of Web interaction in the information behavior context. This chapter first explores a range of information behavior, and information seeking and retrieval model. Research relating to how users seek out and retrieve information in electronic environments will be examined and these models considered for applicability to the information environment of the Web. The exploration begins at the broadest level, examining information seeking models and then interactive IR models, followed by more recent integrated models. The paper then proposes macro model of Web-based information seeking and searching behavior. Further research areas are also discussed.

Information management in health systems: Considering an organic approach

The 2009 Report by the National Health and Hospitals Reform Commission (NHHRC) to the Federal government described the Australian Health Sector (AHS) and its information processes as “fragmented”. When presented with the observation that an organisation and its information or management processes are fragmented, it seems natural to assume such a state to be deficient. More often than not, the response is for an organisation to attempt to reform or standardise its systems in an attempt to un-fragment their core business. This paper argues for an alternative paradigm, informed by the science of Complexity, which conceptualises complex organisations and their processes in terms of being Complex Adaptive Systems (CAS). In this context, traditional information and management science approaches to understanding organisational characteristics such as fragmentation, process and information duplication or redundancy, and system regulation may require a rethink.