Identifying Ambiguous Causal and Interfering Factors in Information Storage and Retrieval Systems
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.
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.
"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%).
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.
-
Designing and Explaining a Model for Factors Affecting Technological Innovation Capabilities(A Case Study: Iran Public Libraries Institution)
Abbas Hosseinzadeh, *, Seyed Aliasghar Razavi
Journal of Sciences and Techniques of Information Management, -
The Effective Components of Women's Information Environments in Sharing Information
Shahrzad Nasrollahzadeh, *,
Librarianship and Informaion Organization Studies, -
Explaining the role of web knowledge sharing on knowledge entrepreneurship with the mediating role of information technology adoption (Case of study: Institute of Public Libraries of Iran)
Leyli Taherkhani, *,
Journal of Studies in Library and Information Science, -
Ambiguity and Disambiguation in Information Retrieval Systems (Systematic Review)
, *, Safieh Tahmasabi Limoni
Library and Information Science,