The effects of information request ambiguity and construct incongruence on query development

Borthick, A. Faye, Bowen, Paul L., Jones, Donald R. and Tse, Michael Hung Kam (2001) The effects of information request ambiguity and construct incongruence on query development. Decision Support Systems, 32 1: 3-25. doi:10.1016/S0167-9236(01)00097-5

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Author Borthick, A. Faye
Bowen, Paul L.
Jones, Donald R.
Tse, Michael Hung Kam
Title The effects of information request ambiguity and construct incongruence on query development
Journal name Decision Support Systems   Check publisher's open access policy
ISSN 0167-9236
Publication date 2001-11
Sub-type Article (original research)
DOI 10.1016/S0167-9236(01)00097-5
Open Access Status File (Author Post-print)
Volume 32
Issue 1
Start page 3
End page 25
Total pages 23
Place of publication Amsterdam, The Netherlands
Publisher Elsevier Science
Collection year 2001
Language eng
Subject C1
280104 Computer-Human Interaction
280103 Information Storage, Retrieval and Management
700199 Computer software and services not elsewhere classified
Abstract This paper examines the effects of information request ambiguity and construct incongruence on end user's ability to develop SQL queries with an interactive relational database query language. In this experiment, ambiguity in information requests adversely affected accuracy and efficiency. Incongruities among the information request, the query syntax, and the data representation adversely affected accuracy, efficiency, and confidence. The results for ambiguity suggest that organizations might elicit better query development if end users were sensitized to the nature of ambiguities that could arise in their business contexts. End users could translate natural language queries into pseudo-SQL that could be examined for precision before the queries were developed. The results for incongruence suggest that better query development might ensue if semantic distances could be reduced by giving users data representations and database views that maximize construct congruence for the kinds of queries in typical domains. (C) 2001 Elsevier Science B.V. All rights reserved.
Keyword Computer Science, Artificial Intelligence
Computer Science, Information Systems
Operations Research & Management Science
Query Development
Requirements Ambiguity
Construct Congruence
Web Front End
User Performance
Task Complexity
Database Query
Retrieval
System
Models
Fit
Q-Index Code C1

Document type: Journal Article
Sub-type: Article (original research)
Collection: UQ Business School Publications
 
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Citation counts: TR Web of Science Citation Count  Cited 14 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 25 times in Scopus Article | Citations
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Created: Tue, 14 Aug 2007, 15:01:13 EST