Journal of Knowledge-Research Studies

Identifying Ambiguous Causal and Interfering Factors in Information Storage and Retrieval Systems

Document Type : Original Article

Authors

1 PhD Student, Department of Knowledge and Information Science, Babol Branch, Islamic Azad University, Babol, Iran

2 Associate Professor, Department of Knowledge Information Science and, Babol Branch, Islamic Azad University, Babol, Iran

3 Associate Professor, Department of Knowledge Information Science, Babol Branch, Islamic Azad University, Babol, Iran

Abstract

Purpose: Ambiguity significantly affects the efficiency and accuracy of information storage and retrieval systems. This research aims to identify the factors contributing to the creation and resolution of ambiguity.
Methodology: This qualitative study employs a grounded theory approach, involving 18 subject matter experts selected using a snowball sampling method. Data collection was conducted through semi-structured interviews, and analysis was performed using MAXQDA 20 software.
Findings: "Inherent ambiguity" emerged as the most significant causal factor (25%), while "intentional ambiguity" and "sentence structural ambiguity" were the least significant (8.4%). Among intervening factors, "intentional and unintentional ambiguity" accounted for the highest impact (41%), with "inauthentic sources" being the least (7%).
Conclusion: Ambiguous factors in information systems include written ambiguity, semantic ambiguity, structural ambiguity, and inherent ambiguity. This research addresses the gap in qualitative studies on ambiguity in such systems, offering insights to enhance data retrieval methods.
Value: Unlike prior quantitative studies focusing on technical aspects, this study provides a qualitative exploration of causal and intervening factors of ambiguity, contributing to the understanding of challenges in information retrieval.

Keywords

Main Subjects

References
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Journal of Knowledge-Research Studies
Volume 3, Issue 3 - Serial Number 9
December 2024
Pages 35-51
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