Identifying Ambiguous Causal and Interfering Factors in Information Storage and Retrieval Systems
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...
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University of Tabriz
2024-11-01
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Series: | نشریه مطالعات دانشپژوهی |
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Online Access: | https://jkrs.tabrizu.ac.ir/article_18574_c2b334c9e3e779cf144df7203a511f73.pdf |
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author | Mohammad Zamani Mitra Ghiasi Safiyeh Tahmasebi Limooni |
author_facet | Mohammad Zamani Mitra Ghiasi Safiyeh Tahmasebi Limooni |
author_sort | Mohammad Zamani |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-27933743972948ab87c84115ac9d2333 |
institution | Kabale University |
issn | 2821-045X |
language | English |
publishDate | 2024-11-01 |
publisher | University of Tabriz |
record_format | Article |
series | نشریه مطالعات دانشپژوهی |
spelling | doaj-art-27933743972948ab87c84115ac9d23332025-02-12T01:37:12ZengUniversity of Tabrizنشریه مطالعات دانشپژوهی2821-045X2024-11-0133355110.22034/jkrs.2024.62883.110018574Identifying Ambiguous Causal and Interfering Factors in Information Storage and Retrieval SystemsMohammad Zamani0Mitra Ghiasi1Safiyeh Tahmasebi Limooni2PhD Student, Department of Knowledge and Information Science, Babol Branch, Islamic Azad University, Babol, IranAssociate Professor, Department of Knowledge Information Science and, Babol Branch, Islamic Azad University, Babol, IranAssociate Professor, Department of Knowledge Information Science, Babol Branch, Islamic Azad University, Babol, IranPurpose: 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.https://jkrs.tabrizu.ac.ir/article_18574_c2b334c9e3e779cf144df7203a511f73.pdfambiguityambiguous causal factorsambiguous interferer factorsinformation retrieval systems |
spellingShingle | Mohammad Zamani Mitra Ghiasi Safiyeh Tahmasebi Limooni Identifying Ambiguous Causal and Interfering Factors in Information Storage and Retrieval Systems نشریه مطالعات دانشپژوهی ambiguity ambiguous causal factors ambiguous interferer factors information retrieval systems |
title | Identifying Ambiguous Causal and Interfering Factors in Information Storage and Retrieval Systems |
title_full | Identifying Ambiguous Causal and Interfering Factors in Information Storage and Retrieval Systems |
title_fullStr | Identifying Ambiguous Causal and Interfering Factors in Information Storage and Retrieval Systems |
title_full_unstemmed | Identifying Ambiguous Causal and Interfering Factors in Information Storage and Retrieval Systems |
title_short | Identifying Ambiguous Causal and Interfering Factors in Information Storage and Retrieval Systems |
title_sort | identifying ambiguous causal and interfering factors in information storage and retrieval systems |
topic | ambiguity ambiguous causal factors ambiguous interferer factors information retrieval systems |
url | https://jkrs.tabrizu.ac.ir/article_18574_c2b334c9e3e779cf144df7203a511f73.pdf |
work_keys_str_mv | AT mohammadzamani identifyingambiguouscausalandinterferingfactorsininformationstorageandretrievalsystems AT mitraghiasi identifyingambiguouscausalandinterferingfactorsininformationstorageandretrievalsystems AT safiyehtahmasebilimooni identifyingambiguouscausalandinterferingfactorsininformationstorageandretrievalsystems |