Abstract
Inefficiencies associated with online information search are amplifying in the current era of big data. Despite growing scholarly interest in studying Internet users' information search behaviour, there is a paucity of theory-guided investigation in this regard. In this paper, we draw on the theory of anticipatory system as our theoretical foundation to articulate the relationships between two salient types of search controls, namely search anticipation and search efficiency. We empirically validate our research model by conducting a field survey with 77 university students on an online restaurant review website that is modelled after its actual counterpart and populated with real restaurant review data. Findings from this study suggest that both search determination control and search manipulation control enhance search result anticipation, which in turn improves search efficiency. Theoretical and practical implications of this study are discussed.
| Original language | English |
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| Publication status | Published - 2016 |
| Externally published | Yes |
| Event | 24th European Conference on Information Systems, ECIS 2016 - Istanbul, Turkey Duration: 12 Jun 2016 → 15 Jun 2016 |
Conference
| Conference | 24th European Conference on Information Systems, ECIS 2016 |
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| Country/Territory | Turkey |
| City | Istanbul |
| Period | 12/06/16 → 15/06/16 |
Keywords
- Search behaviour
- Search control
- Search efficiency
- Theory of anticipatory systems
ASJC Scopus subject areas
- Information Systems