The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Integrating attitudinal theories to understand and predict use of technology‐based self‐service: The Internet as an illustration
Abstract
Technology‐based self‐service is growing at a tremendous rate all over the world, but a strong unifying theory to understand this form of service is lacking. Proposes a comprehensive conceptual framework that incorporates several well‐known attitudinal theories to explain the pivotal role of attitudes in influencing intentions and behavior related to technology‐based self‐service. The framework makes it possible to understand and predict better consumer decisions related to using technology‐based self‐service by thoroughly examining underlying consumer attitudes. Uses the Internet to illustrate how our framework can be applied to study consumer behavior related to a specific technology‐based self‐service. Draws on insights from the extant literature on technology‐based self‐service and also incorporates the many unique characteristics of the Internet that have implications for theory. Discusses practical implications of our model for marketers and provides directions for future research on technology‐based self‐service in general and the Internet in particular. With its integrative approach to theory, also contributes to the attitudinal literature.
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
Free competition and the optimal amount of fraud
Darby, M. R., & Karni, E. (1973) · The Journal of Law and Economics · doi:10.1086/466756 · Cited by 3,947
Clients as "Partial" Employees of Service Organizations: Role Development in Client Participation
Mills, P. K., & Morris, J. H. (1986) · The Academy of Management Review · doi:10.2307/258392 · Cited by 735
A New Model for Predicting Behavioral Intentions: An Alternative to Fishbein
Warshaw, P. R. (1980) · Journal of Marketing Research · doi:10.1177/002224378001700201 · Cited by 340
Consumer intention to utilize electronic shopping: The Fishbein Behavioral Intention Model
Shim, S., & Drake, M. F. (1990) · Journal of Direct Marketing · doi:10.1002/dir.4000040305 · Cited by 150
Predictors of videotex adoption
Eastlick, M. A. (1993) · Journal of Direct Marketing · doi:10.1002/dir.4000070309 · Cited by 54
Cited by
Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019) · Information Systems Frontiers · doi:10.1007/s10796-017-9774-y · Cited by 2,137
“The role of attitude in explaining technology acceptance has been acknowledged in prior literature (e.g., Bobbitt and Dabholkar 2001; Kim et al. 2009; Taylor and Todd 1995b; Yang and Yoo 2004).”
ResultDabholkar, P. A., & Bagozzi, R. P. (2002) · Journal of the Academy of Marketing Science · doi:10.1177/0092070302303001 · Cited by 1,898
Self-citationAhuja, M. K., & Bennett, J. (2005) · MIS Quarterly · doi:10.2307/25148691 · Cited by 818
An empirical validation of a unified model of electronic government adoption (UMEGA)
Dwivedi, Y. K., Rana, N. P., Janssen, M., Lal, B., Williams, M. D., & Clement, M. (2017) · Government Information Quarterly · doi:10.1016/j.giq.2017.03.001 · Cited by 622
Thakur, R., & Srivastava, M. (2014) · Internet Research · doi:10.1108/intr-12-2012-0244 · Cited by 606
Metadata
- Authors
- Michelle Bobbitt, L., & Dabholkar, P. A.
- Venue
- International Journal of Service Industry Management
- Publisher
- Emerald
- Published
- 2001-12-01
- Volume
- 12
- Issue
- 5
- Pages
- 423-450
- ISSN
- 0956-4233 (ISSN-L)
- OpenAlex
- W1484668315
- Cited by
- 375
- References
- 6
- FWCI
- 30.52
- 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: Integrating attitudinal theories to understand and predict use of technology‐based self‐service: The Internet as an illustration. https://app.cochat.ai/papers/10.1108/eum0000000006092
- The paper
- Michelle Bobbitt, L., & Dabholkar, P. A. (2001). Integrating attitudinal theories to understand and predict use of technology‐based self‐service: The Internet as an illustration. International Journal of Service Industry Management. https://doi.org/10.1108/eum0000000006092
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.