The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Customer adoption of e‐service: an experimental study
Open accessAbstract
So far, the term e‐commerce has been primarily associated with communicating the brand and/or enabling sales transactions. However, the next vista for companies operating in the virtual marketplace seems to be e‐service or, delivering value‐added, interactive services to customers. This e‐business function has been left virtually unexplored in the services research literature. In this article, an attempt is made to investigate the impact of organizational reputation, relative advantage, and perceived risk on perceived service quality, trust and behavioral intentions of customers towards adopting e‐services. In the context of an electronic travel service, hypotheses on the relationships between aforementioned variables are investigated by means of an experimental study. The results suggest that the three factors have a significant main effect on the customers’ attitude and behavior towards e‐service. The only exception is that relative advantage does not appear to have a significant impact on customer trust. The results also show that organizational reputation and perceived risk have a combined effect: a good organizational reputation impacts the effect of perceived risk on the three dependent variables. Finally, the three factors appeared to be evenly important in the forming of customers’ attitude and behavior. Again, the only exception is that organizational reputation and perceived risk appear to be more important in terms of trust than relative advantage.
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
Relationship Quality in Services Selling: An Interpersonal Influence Perspective
Crosby, L. A., Evans, K. R., & Cowles, D. (1990) · Journal of Marketing · doi:10.1177/002224299005400306 · Cited by 4,763
Cited by
Predicting e-services adoption: A perceived risk facets perspective
Featherman, M. S., & Pavlou, P. A. (2003) · International Journal of Human-Computer Studies · doi:10.1016/s1071-5819(03)00111-3 · Cited by 3,351
Dabholkar, P. A., & Bagozzi, R. P. (2002) · Journal of the Academy of Marketing Science · doi:10.1177/0092070302303001 · Cited by 1,898
Trust and risk in e-government adoption
Bélanger, F., & Carter, L. (2008) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2007.12.002 · Cited by 1,235
(2007) · Cited by 737
Consumer trust in e-commerce in the United States, Singapore and China
TEO, T., & LIU, J. (2007) · Omega · doi:10.1016/j.omega.2005.02.001 · Cited by 564
Metadata
- Authors
- de Ruyter, K., Wetzels, M., & Kleijnen, M.
- Venue
- International Journal of Service Industry Management
- Publisher
- Emerald
- Published
- 2001-05-01
- Volume
- 12
- Issue
- 2
- Pages
- 184-207
- ISSN
- 0956-4233 (ISSN-L)
- OpenAlex
- W2169789485
- Cited by
- 554
- References
- 1
- FWCI
- 52.32
- Type
- journal article
- Language
- en
- Open access
- green
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: Customer adoption of e‐service: an experimental study. https://app.cochat.ai/papers/10.1108/09564230110387542
- The paper
- de Ruyter, K., Wetzels, M., & Kleijnen, M. (2001). Customer adoption of e‐service: an experimental study. International Journal of Service Industry Management. https://doi.org/10.1108/09564230110387542
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.