Toward incorporating a task-stage identification technique into the long-term document support process |
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| Authors: | I-Chin Wu Duen-Ren Liu Pei-Cheng Chang |
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| Institution: | 1. Department of Information Management, Fu Jen Catholic University, Taipei 242, Taiwan;2. Institute of Information Management, National Chiao Tung University, Hsinchu 300, Taiwan |
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| Abstract: | Effective knowledge management in a knowledge-intensive environment can place heavy demands on the information filtering (IF) strategies used to model workers’ long-term task-needs. Because of the growing complexity of knowledge-intensive work tasks, a profiling technique is needed to deliver task-relevant documents to workers. In this study, we propose an IF technique with task-stage identification that provides effective codification-based support throughout the execution of a task. Task-needs pattern similarity analysis based on a correlation value is used to identify a worker’s task-stage (the pre-focus, focus formulation, or post-focus task-stage). The identified task-stage is then incorporated into a profile adaptation process to generate the worker’s current task profile. The results of a pilot study conducted in a research institute confirm that there is a low or negative correlation between search sessions and transactions in the pre-focus task-stage, whereas there is at least a moderate correlation between search sessions/transactions in the post-focus stage. Compared with the traditional IF technique, the proposed IF technique with task-stage identification achieves, on average, a 19.49% improvement in task-relevant document support. The results confirm the effectiveness of the proposed method for knowledge-intensive work tasks. |
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| Keywords: | Correlation analysis Information filtering Knowledge-intensive task Long-term task performance Task profile Task-stage identification |
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