Toward incorporating a task-stage identification technique into the long-term document support process

  • Authors:

  • I-Chin Wu;Duen-Ren Liu;Pei-Cheng Chang

  • Affiliations:

  • Department of Information Management, Fu Jen Catholic University, Taipei 242, Taiwan;Institute of Information Management, National Chiao Tung University, Hsinchu 300, Taiwan;Institute of Information Management, National Chiao Tung University, Hsinchu 300, Taiwan

  • Venue:
  • Information Processing and Management: an International Journal
  • Year:
  • 2008

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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.