Purpose -This paper aims to report on a project aimed at moving Foster's nonlinear model of information seeking behaviour forwards from an empirically based model focused on one setting and towards one that is robustly transferable and enables testing of the model in other information-seeking situations. Design/methodology/approach -The method utilised recoding of the original dataset, comparison of code decisions, and testing of the code book on a second dataset. Findings -The results of the coding confirm the structure and interactions in version one of the model. The dynamic and nonlinear nature of information seeking is confirmed, as are the core processes and contextual dimensions of the original model with some extension and refinement of coding. Practical implications -Changes to the model include new scales of extent and intensity, refinement of code descriptions, and extension of some elements to include multidisciplinary theories. Collectively these changes enable testing of the model in other information situations and opportunities for further research. Originality/value -The results incorporate a number of enhancements that have been developed since the original Foster model was created; cognitive dimensions relating to personality and learning are enhanced and the codes essential to the revised Foster model are described along with a code book. The paper concludes by highlighting areas for further research.
IntroductionInformation behaviour is ubiquitous within the discipline of information science and there are many texts reviewing this area (Fisher et al., 2005;Case, 2007). Studies include behaviour within specific contexts (e.g. knitting circles, nursing) and many that focus on external factors such as environment, personality factors such as individual differences, and yet more that build complex models that relate search behaviour to information retrieval (for example Ingwersen, 1996). Major differences tend to originate at the epistemological level and permeate throughout these studies from the types of data collected and use of specialised terminology. It is notable that the end user "readership" also triggers language differences such that discussions of information behaviour often have a focus on information users, information needs, or information sources, and beyond this of information foraging and information handling. Dervin and Reinhard (2006) usefully discussed this aspect with regard to user and audience