The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
The Concept of Information Overload - A Review of Literature from Organization Science, Accounting, Marketing, MIS, and Related Disciplines (2004)
Abstract
Based on literature from the domains of organization science, marketing, accounting, and management information systems, this review article examines the theoretical basis of the information overload discourse and presents an overview of the main definitions, situations, causes, effects, and countermeasures. It analyses the contributions from the last thirty years to consolidate the existing research in a conceptual framework, to identify future research directions, and to highlight implications for management.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The magical number seven, plus or minus two: Some limits on our capacity for processing information.
Miller, G. A. (1956) · Psychological Review · doi:10.1037/h0043158 · Cited by 17,812
Organization design: an information processing view
Galbraith, J. R. (1974) · Interfaces · doi:10.1287/inte.4.3.28 · Cited by 2,451
Information Load and Consumer Decision Making
Malhotra, N. K. (1982) · Journal of Consumer Research · doi:10.1086/208882 · Cited by 778
Human problem solving: The state of the theory in 1970.
Simon, H. A., & Newell, A. (1971) · American Psychologist · doi:10.1037/h0030806 · Cited by 635
Analyzing the past to prepare for the future
(2002) · MIS Quarterly · doi:10.5555/2017160.2017162 · Cited by 179
Cited by
Closing the Marketing Capabilities Gap
Day, G. S. (2011) · Journal of Marketing · doi:10.1509/jmkg.75.4.183 · Cited by 1,079
Lee, A. R., Son, S.-M., & Kim, K. K. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.08.011 · Cited by 814
Bias in algorithmic filtering and personalization
Bozdag, E. (2013) · Ethics and Information Technology · doi:10.1007/s10676-013-9321-6 · Cited by 649
Personalization versus Customization: The Importance of Agency, Privacy, and Power Usage
Sundar, S. S., & Marathe, S. S. (2010) · Human Communication Research · doi:10.1111/j.1468-2958.2010.01377.x · Cited by 588
Brown-Liburd, H., Issa, H., & Lombardi, D. (2015) · Accounting Horizons · doi:10.2308/acch-51023 · Cited by 434
Metadata
- Authors
- Eppler, M. J., & Mengis, J.
- Venue
- Kommunikationsmanagement im Wandel
- Publisher
- Gabler
- Published
- 2008-08-30
- Pages
- 271-305
- OpenAlex
- W4254376066
- Cited by
- 2,177
- References
- 5
- FWCI
- 282.25
- Type
- book chapter
- Language
- de
- Open access
- closed
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The Concept of Information Overload - A Review of Literature from Organization Science, Accounting, Marketing, MIS, and Related Disciplines (2004). https://app.cochat.ai/papers/10.1007/978-3-8349-9772-2_15
- The paper
- Eppler, M. J., & Mengis, J. (2008). The Concept of Information Overload - A Review of Literature from Organization Science, Accounting, Marketing, MIS, and Related Disciplines (2004). Kommunikationsmanagement im Wandel. https://doi.org/10.1007/978-3-8349-9772-2_15
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.