The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Moderating Effects of Task Type on Wireless Technology Acceptance
Abstract
The technology acceptance model (TAM) is one of the most widely used models of information technology (IT) adoption. According to TAM, IT adoption is influenced by two perceptions: usefulness and ease of use. In this study, we extend TAM to the mobile commerce context. We categorize the tasks performed on wireless handheld devices into three categories: (1) general tasks that do not involve transactions and gaming, (2) gaming tasks, and (3) transactional tasks. We propose a unified conceptual model for wireless technology adoption. In this model, task type moderates the effects of four possible determinants: perceived usefulness, perceived ease of use, perceived playfulness, and perceived security. We postulate that, under the mobile context, user intention to perform general tasks that do not involve transactions and gaming is influenced by perceived usefulness and perceived ease of use, user intention to play games is affected by perceived playfulness, and user intention to transact is influenced by perceived usefulness and perceived security. A survey was conducted to collect data about user perception of 12 tasks that could be performed on wireless handheld devices and user intention to use wireless technology. Multiple regression analyses supported the proposed research model.
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
Trust and TAM in Online Shopping: An Integrated Model1
Gefen, D., Karahanna, E., & Straub, D. W. (2003) · MIS Quarterly · doi:10.2307/30036519 · Cited by 8,635
An Examination of the Nature of Trust in Buyer-Seller Relationships
Doney, P. M., & Cannon, J. P. (1997) · Journal of Marketing · doi:10.2307/1251829 · Cited by 6,822
Venkatesh, V. (2000) · Information Systems Research · doi:10.1287/isre.11.4.342.11872 · Cited by 6,664
Task-Technology Fit and Individual Performance
Goodhue, D. L., & Thompson, R. L. (1995) · MIS Quarterly · doi:10.2307/249689 · Cited by 6,006
Developing and validating trust measures for e-commerce: an integrative typology
McKnight, D. H., Choudhury, V., & Kacmar, C. (2002) · Information Systems Research · doi:10.1287/isre.13.3.334.81 · Cited by 5,550
A Framework for the Comparative Analysis of Organizations
Perrow, C. (1967) · American Sociological Review · doi:10.2307/2091811 · Cited by 2,509
Examining the technology acceptance model using physician acceptance of telemedicine technology
Hu, P. J., Chau, P. Y. K., Sheng, O. R. L., & Tam, K. Y. (1999) · Journal of Management Information Systems · doi:10.1080/07421222.1999.11518247 · Cited by 1,951
Individual Trust in Online Firms: Scale Development and Initial Test
(2002) · Journal of Management Information Systems · doi:10.1080/07421222.2002.11045715 · Cited by 1,347 · cited 2×
“Many studies have been undertaken to categorize antecedents or factors of consumer trust [3, 12, 30, 33, 34, 54].”
Background
Cited by
A Framework and Guidelines for Context-Specific Theorizing in Information Systems Research
Hong, W., Chan, F. K. Y., Thong, J. Y. L., Chasalow, L. C., & Dhillon, G. (2014) · Information Systems Research · doi:10.1287/isre.2013.0501 · Cited by 609
Zhang, P. (2013) · MIS Quarterly · doi:10.25300/misq/2013/37.1.11 · Cited by 331
Yen, D. C., Wu, C.-S., Cheng, F.-F., & Huang, Y.-W. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.02.005 · Cited by 319
Technology acceptance research: Meta-analysis
Marikyan, D., Papagiannidis, S., & Stewart, G. (2026) · Journal of Information Science · doi:10.1177/01655515231191177 · Cited by 140
An Examination of Factors Associated with User Acceptance of Social Shopping Websites
Shen, J., & Eder, L. B. (2011) · International Journal of Technology and Human Interaction · doi:10.4018/jthi.2011010102 · Cited by 65
Metadata
- Authors
- FANG, X., CHAN, S., BRZEZINSKI, J., & XU, S.
- Venue
- Journal of Management Information Systems
- Publisher
- Informa UK Limited
- Published
- 2005-12
- Volume
- 22
- Issue
- 3
- Pages
- 123-157
- ISSN
- 0742-1222 (ISSN-L)
- 1557-928X
- OpenAlex
- W2094702702
- Cited by
- 309
- References
- 11
- FWCI
- 27.66
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Moderating Effects of Task Type on Wireless Technology Acceptance. https://app.cochat.ai/papers/10.2753/mis0742-1222220305
- The paper
- FANG, X., CHAN, S., BRZEZINSKI, J., & XU, S. (2005). Moderating Effects of Task Type on Wireless Technology Acceptance. Journal of Management Information Systems. https://doi.org/10.2753/mis0742-1222220305
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.
