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| Influence of Users' Search Path Characteristics on Information Search Effectiveness: An fsQCA Approach |
| Zhao Yiming1,2,3, Li Qian2,4, Qiu Yumeng2,4, Chen Yijin5 |
1.Center for Studies of Information Resources, Wuhan University, Wuhan 430072
2.School of Information Management, Wuhan University, Wuhan 430072
3.Big Data Institute, Wuhan University, Wuhan 430072
4.National Demonstration Center for Experimental Library and Information Science Education, Wuhan University, Wuhan 430072
5.School of Economics and Management, South China Normal University, Guangzhou 510006 |
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Abstract This study aims to explore how the characteristics of the search path affect search effectiveness. Through user experiment, two different search tasks were designed in the same task situation, and the four search path features—path length, depth, complexity, and novelty—were quantified and extracted. The influence of the combination of different path features on the search effectiveness was explored using fuzzy-set qualitative comparative analysis (fsQCA). Six search path feature configurations with high information search effect were found. Furthermore, three types of search path patterns with high information search effect were summarized—fast browsing, exploratory query, and conservative query types. This study is novel in that it revealed multiple concurrent causation among search path characteristics and search effectiveness from the configuration perspective.
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Received: 17 November 2021
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