The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
The Effect of Perceived Novelty on the Adoption of Information Technology Innovations: A Risk/Reward Perspective
Abstract
A fundamental characteristic of any innovation is its novelty, the newness or freshness of the innovation in the eyes of the adopter. Past research has often considered novelty to be inherent to an information technology (IT) innovation, yet it is also likely that perceptions of novelty differ widely across individuals. Nevertheless, the role that the novelty of an IT innovation plays in adoption is not well understood. The primary goal of this research effort is to frame the perceived novelty of an IT innovation as a salient affective belief in the nomological network related to adoption. Further, we examine how perceived novelty influences the way individuals reconcile their perceptions of risk versus reward when considering the adoption of an IT innovation. Two empirical studies with 424 and 138 participants, respectively, examine the effect of perceived novelty on IT innovations from a risk/reward perspective. Results indicate that perceived novelty is a salient affective belief that plays a significant role in the adoption of IT innovations. Implications for both theory and organizational decision making are examined.
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 theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
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
Tversky, A., & Kahneman, D. (1974) · Science · doi:10.1126/science.185.4157.1124 · Cited by 28,810
Moore, G. C., & Benbasat, I. (1991) · Information Systems Research · doi:10.1287/isre.2.3.192 · Cited by 9,150
Understanding information technology usage: a test of competing models
Taylor, S., & Todd, P. A. (1995) · Information Systems Research · doi:10.1287/isre.6.2.144 · Cited by 8,815
Understanding Information Systems Continuance: An Expectation-Confirmation Model1
Bhattacherjee, A. (2001) · MIS Quarterly · doi:10.2307/3250921 · Cited by 8,767
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
Technology Acceptance Model 3 and a Research Agenda on Interventions
Venkatesh, V., & Bala, H. (2008) · Decision Sciences · doi:10.1111/j.1540-5915.2008.00192.x · Cited by 8,159 · cited 5×
“From a reward perspective, factors such as ease of use, trust, and usefulness have been shown to positively influence adoption intentions (Gefen, Karahanna, & Straub, 2003; Venkatesh et al., 2003; Venkatesh & Bala, 2008).”
BackgroundInfluentialFeeling and thinking: Preferences need no inferences.
Zajonc, R. B. (1980) · American Psychologist · doi:10.1037/0003-066x.35.2.151 · Cited by 8,094
Cited by
Unleashing the Potential of Chatbots in Education: A State-Of-The-Art Analysis
Winkler, R., & Soellner, M. (2018) · Academy of Management Proceedings · doi:10.5465/ambpp.2018.15903abstract · Cited by 581
Leong, L.-Y., Hew, T.-S., Ooi, K.-B., & Wei, J. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.102047 · Cited by 528
Should Machines Express Sympathy and Empathy? Experiments with a Health Advice Chatbot
Liu, B., & Sundar, S. S. (2018) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2018.0110 · Cited by 447
Croes, E. A. J., & Antheunis, M. L. (2021) · Journal of Social and Personal Relationships · doi:10.1177/0265407520959463 · Cited by 291
“An important characteristic of any new technology is novelty (i.e., the newness of the technology in the eyes of the adopter; Wells et al., 2010).”
BackgroundUysal, E., Alavi, S., & Bezençon, V. (2022) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-022-00856-9 · Cited by 182
Metadata
- Authors
- Wells, J. D., Campbell, D. E., Valacich, J. S., & Featherman, M.
- Venue
- Decision Sciences
- Publisher
- Wiley
- Published
- 2010-11
- Volume
- 41
- Issue
- 4
- Pages
- 813-843
- ISSN
- 0011-7315 (ISSN-L)
- 1540-5915
- OpenAlex
- W1951721333
- Cited by
- 305
- References
- 21
- FWCI
- 6.37
- 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: The Effect of Perceived Novelty on the Adoption of Information Technology Innovations: A Risk/Reward Perspective. https://app.cochat.ai/papers/10.1111/j.1540-5915.2010.00292.x
- The paper
- Wells, J. D., Campbell, D. E., Valacich, J. S., & Featherman, M. (2010). The Effect of Perceived Novelty on the Adoption of Information Technology Innovations: A Risk/Reward Perspective. Decision Sciences. https://doi.org/10.1111/j.1540-5915.2010.00292.x
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.