A study of factors that affect the information‐seeking behavior of academic scientists
Abstract
In an effort to understand how academic scientists seek information relevant to their research in today's environment of ubiquitous electronic access, a correlation framework is built and regression analysis is applied to the survey results from 2,063 academic researchers in natural science, engineering, and medical science at five research universities in the United States. Previous work has reported descriptive statistics about these scientists' information‐seeking behavior. This study extends that work to examine relationships between scientists' information‐seeking behaviors and their personal and environmental factors. Several regression models, including the Poisson model, the logit model, and the ordered logit model, are built to interpret the correlation among scientists' behaviors. In addition, exploratory factor analysis is used for data reduction. Overall, many factors were found to affect the specific information‐seeking behaviors of scientists, including demographic, psychological, role‐related, and environmental factors. Of the factors having an effect, academic position was the most important determinant of information behavior.
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Google Scholar emerged as the number one go‐to academic search engine for most academic users due to its great ease of use and performance in informational and exploratory searches.
“In fact, it was due to its great ease of use and performance in informational and exploratory searches78 that Google Scholar emerged as the number one go‐to academic search engine for most academic users.79, 80, 81, 82”
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Raamkumar, A. S., Foo, S. S.-B., & Pang, N. L.-S. (2017) · Aslib Journal of Information Management · doi:10.1108/ajim-01-2017-0020 · Cited by 2 · see citing works
Information sources and profile of informed citizens
Bernal, A. T., & Vásquez, W. F. (2015) · Information Development · doi:10.1177/0266666914568575 · Cited by 2 · see citing works
A task-based scientific paper recommender system for literature review and manuscript preparation
Raamkumar, A. S. (2018) · doi:10.32657/10220/46243 · Cited by 2 · see citing works
Asare, C. A. B., Adu, T. L., & Mills, N. L. A. (2024) · Ghana Library Journal · doi:10.4314/glj.v29i1.1 · Cited by 1 · see citing works
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Information Behavior: An Introduction
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Academic Access Data Analysis for Literature Recommendation
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The Role of the Academic Librarian in the Sciences of Food and Health
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INFORMATION SEEKING AND VERIFICATION OF WEB INFORMATION: A COMPARATIVE STUDY
(2022) · Issues in Information Systems · doi:10.48009/3_iis_2022_108 · Cited by 2 · see citing works
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Information Needs, Motivations, and Use
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Razlike u informacijskom ponašanju zaposlenika
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The Complex Nature of Information Behavior
(2016) · Studies in information · doi:10.1108/s2055-53772016002
- Authors
- Niu, X., & Hemminger, B. M.
- Affiliations
- University of North Carolina at Chapel Hill (US)
- Venue
- Journal of the American Society for Information Science and Technology
- Publisher
- Wiley
- Published
- 2011-10-31
- Volume
- 63
- Issue
- 2
- Pages
- 336-353
- ISSN
- 1532-2882 (ISSN-L)
- 1532-2890
- OpenAlex
- W1991725352
- Semantic Scholar
- 9bb20d5e66a29daad644a936f9f9d9f907616f45
- Cited by
- 129
- References
- 49
- Citations by year
- 2026: 5 · 2025: 2 · 2024: 4 · 2023: 10 · 2022: 9 · 2021: 10 · 2020: 8 · 2019: 14 · 2018: 12 · 2017: 8 · 2016: 21 · 2015: 12 · 2014: 10 · 2013: 3 · 2012: 1
- FWCI
- 31.41
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of the American Society for Information Science and Technology (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Colorado State University
- Topics
- Social Sciences › Library and Information Sciences › Library Science and Information Literacy
- Physical Sciences › Computer Science › Information Systems › Library Science and Information
- Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
- Keywords
- information seeking, academic scientists, academic rank, demographic factors, psychological factors, environmental factors, research universities, medical sciences
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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