The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
A Task-Based Model of Perceived Website Complexity1
Abstract
In this study, we propose that perceived website complexity (PWC) is central to understanding how sophisticated features of a website (such as animation, audio, video, and rollover effects) affect a visitor’s experience at the site. Although previous research suggests that several elements of perceived complexity (e.g., amount of text, animation, graphics, range and consistency of webpages configuring a website, ease of navigating through it, and clarity of hyperlinks) affect important user outcomes, conflicting results yielded by previous research have created an important debate: Does complexity enhance or inhibit user experience at a website? In this study, we draw on the task complexity literature to develop a broad and holistic model that examines the antecedents and consequences of PWC. Our results provide two important insights into the relationship between PWC and user outcomes. First, the positive relationship between objective complexity and PWC was moderated by user familiarity. Second, online task goals (goal-directed search and experiential browsing) moderated the relationship between PWC and user satisfaction. Specifically, the relationship between PWC and user satisfaction was negative for goal-directed users and inverted-U for experiential users. The implications of this finding for the practice of website design are discussed.
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
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035
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
A Paradigm for Developing Better Measures of Marketing Constructs
Churchill, G. A. (1979) · Journal of Marketing Research · doi:10.1177/002224377901600110 · Cited by 16,549
Information Systems Success: The Quest for the Dependent Variable
DeLone, W. H., & McLean, E. R. (1992) · Information Systems Research · doi:10.1287/isre.3.1.60 · Cited by 10,697
Organizational Information Requirements, Media Richness and Structural Design
Daft, R. L., & Lengel, R. H. (1986) · Management Science · doi:10.1287/mnsc.32.5.554 · Cited by 9,868
Experimental Design: Procedures for the Behavioral Sciences
Kirk, R. (2013) · doi:10.4135/9781483384733 · Cited by 8,539
Venkatesh, V. (2000) · Information Systems Research · doi:10.1287/isre.11.4.342.11872 · Cited by 6,664
Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003) · Information Systems Research · doi:10.1287/isre.14.2.189.16018 · Cited by 6,479
Implementation intentions: Strong effects of simple plans.
Gollwitzer, P. M. (1999) · American Psychologist · doi:10.1037/0003-066x.54.7.493 · Cited by 5,478
Cited by
Liu, Y., Li, H., & Hu, F. (2013) · Decision Support Systems · doi:10.1016/j.dss.2013.04.001 · Cited by 541
Task complexity: A review and conceptualization framework
Liu, P., & Li, Z. (2012) · International Journal of Industrial Ergonomics · doi:10.1016/j.ergon.2012.09.001 · Cited by 438
The fluent online shopping experience.
Mosteller, J., Donthu, N., & Eroglu, S. (2014) · Journal of Business Research · doi:10.1016/j.jbusres.2014.03.009 · Cited by 230
Trust violation and repair: The information privacy perspective
Bansal, G., & Zahedi, F. M. (2015) · Decision Support Systems · doi:10.1016/j.dss.2015.01.009 · Cited by 141
(2012) · Cited by 100
Metadata
- Authors
- Nadkarni, S., & Gupta, R.
- Venue
- MIS Quarterly
- Publisher
- MIS Quarterly
- Published
- 2007-09-01
- Volume
- 31
- Issue
- 3
- Pages
- 501-524
- ISSN
- 0276-7783 (ISSN-L)
- 2162-9730
- OpenAlex
- W1608118743
- Cited by
- 257
- References
- 13
- FWCI
- 16.13
- Type
- journal article
- Language
- en
- 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
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.