Determining personal evolving topic-needs to support information search activities

I. Chin Wu*

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review


With the growing amount of information in the organizational memories of knowledge-intensive work environments, knowledge workers are suffering increasingly from information overload. Hence, an important aspect of effective knowledge delivery is supporting task-relevant knowledge by considering the characteristics of tasks and the nature of workers' search behavior in organizations. The pilot research models in the information seeking (IS) research area show that workers' information seeking activities exhibit common patterns. Based on the observations of previous studies, this work investigates the issues involved in determining the variations in task-relevant topics to support the information search process. Specifically, we provide an overview of the ISP model and theory; propose an evolving topic-needs determination method to examine the variety of a worker's information needs for topics across task-stages; and identify a worker's task-needs precisely by interactively mapping his/her information needs to the specific level of topics in the taxonomy. We have conducted an evaluation in a research institute which has implications for assisting workers who search the relevance information while conducting a long-term research project.

Original languageEnglish
Pages (from-to)299-308
Number of pages10
JournalProceedings of the International Conference on Electronic Business (ICEB)
Publication statusPublished - 2008
Externally publishedYes
Event8th International Conference on Electronic Business, ICEB 2008 - Waikoloa, HI, United States
Duration: 2008 Sept 302008 Oct 3


  • Evolving topic-needs
  • Information filtering
  • Information search process
  • Information seeking

ASJC Scopus subject areas

  • General Business,Management and Accounting
  • General Computer Science


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