Information search process for a well-structured IS problem: The role of IS and application domain knowledge

Khatri, Vijay and Vessey, Iris (2008). Information search process for a well-structured IS problem: The role of IS and application domain knowledge. In: D. Te'eni and F. Rowe, ICIS 2008 Proceedings. 29th International Conference on Information Systems, ICIS 2008, Paris, France, (1-15). 14-17 December 2008.

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Name Description MIMEType Size Downloads
Author Khatri, Vijay
Vessey, Iris
Title of paper Information search process for a well-structured IS problem: The role of IS and application domain knowledge
Conference name 29th International Conference on Information Systems, ICIS 2008
Conference location Paris, France
Conference dates 14-17 December 2008
Proceedings title ICIS 2008 Proceedings
Place of Publication Paris, France
Publisher Association for Information Systems
Publication Year 2008
Sub-type Fully published paper
Editor D. Te'eni
F. Rowe
Volume 14
Start page 1
End page 15
Total pages 15
Collection year 2009
Language eng
Abstract/Summary Prior research has shown that the effect of information systems (IS) domain knowledge and application domain knowledge on problem solving is contingent on task type (Khatri et al. 2006). We build on this study by engaging in an in-depth analysis of how both these types of knowledge influence one type of task referred to as “schema-based problem solving” task. Our theoretical analysis is based on the fact that conceptual schema understanding is a well-structured problem area and that, in such a setting, participants engage in depth-first rather than the breadth-first search that is evident in the more-frequently studied ill-structured problem areas. We used protocol analysis to explore the search process in the context of varying levels of both IS and application domain knowledge. We found that knowledge of the IS and application domains result in similar effects on the search process: both high IS knowledge and familiarity with the application domain result in deeper (more focused) search.
Subjects E1
150301 Business Information Management (incl. Records, Knowledge and Information Management, and Intelligence)
970108 Expanding Knowledge in the Information and Computing Sciences
0806 Information Systems
Keyword Conceptual modeling
Conceptual schema understanding
Schema-based problem-solving tasks
Cognitive fit
Well-structured problems
Protocol analysis
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Electronic proceedings posted at AIS Electronic Library (AISeL), Paper 206.

 
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Created: Thu, 22 Jan 2009, 17:10:32 EST by Karen Morgan on behalf of Faculty of Business, Economics & Law