The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Investigating motivated consumer innovativeness in the context of drone food delivery services
Abstract
Abstract The objective of this research is to explore the motivated consumer innovativeness in the context of drone food delivery services. More specifically, it was hypothesized that four dimensions of motivated consumer innovativeness, which include functionally, hedonically, cognitively, and socially motivated consumer innovativeness, play an important role in the formation of attitude and behavioral intentions. In addition, this study proposed that the attitude positively affects desire and behavioral intentions. Based on the proposed relationships among the constructs, a conceptual model was developed and evaluated using data collected from 320 respondents in Korea. The data analysis results revealed that three dimensions of motivated consumer innovativeness except for cognitively motivated consumer innovativeness are important predictors of attitude. In addition, functionally motivated consumer innovativeness had a positive influence on behavioral intentions. Lastly, the attitude was shown to significantly increase desire and behavioral intentions.
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
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194
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
The Behavioral Consequences of Service Quality
Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996) · Journal of Marketing · doi:10.2307/1251929 · Cited by 12,003
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
Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value
Babin, B. J., Darden, W. R., & Griffin, M. (1994) · Journal of Consumer Research · doi:10.1086/209376 · Cited by 6,020
Prediction of goal-directed behavior: Attitudes, intentions, and perceived behavioral control
Ajzen, I., & Madden, T. J. (1986) · Journal of Experimental Social Psychology · doi:10.1016/0022-1031(86)90045-4 · Cited by 5,718
A Model of the Antecedents of Perceived Ease of Use: Development and Test
Venkatesh, V., & Davis, F. D. (1996) · Decision Sciences · doi:10.1111/j.1540-5915.1996.tb01822.x · Cited by 3,802
Extending the technology acceptance model: the influence of perceived user resources
Mathieson, K., Peacock, E., & Chin, W. W. (2001) · ACM SIGMIS Database: the DATABASE for Advances in Information Systems · doi:10.1145/506724.506730 · Cited by 1,099
An extension of the technology acceptance model in an ERP implementation environment
Amoako-Gyampah, K., & Salam, A. F. (2004) · Information & Management · doi:10.1016/j.im.2003.08.010 · Cited by 922
Cited by
The value proposition of food delivery apps from the perspective of theory of consumption value
Kaur, P., Dhir, A., Talwar, S., & Ghuman, K. (2021) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-05-2020-0477 · Cited by 377
Hotel managers’ perceptions towards the use of robots: A mixed-methods approach
Ivanov, S., Seyitoğlu, F., & Markova, M. (2020) · Information Technology & Tourism · doi:10.1007/s40558-020-00187-x · Cited by 243
Belanche, D., Flavián, M., & Pérez-Rueda, A. (2020) · Sustainability · doi:10.3390/su12104275 · Cited by 187
The critical factors shaping customer shopping experiences with innovative technologies
Ylilehto, M., Komulainen, H., & Ulkuniemi, P. (2021) · Baltic Journal of Management · doi:10.1108/bjm-02-2021-0049 · Cited by 62
Metadata
- Authors
- Hwang, J., Kim, H., & Kim, W.
- Venue
- Journal of Hospitality and Tourism Management
- Publisher
- Elsevier BV
- Published
- 2019-03
- Volume
- 38
- Pages
- 102-110
- ISSN
- 1447-6770 (ISSN-L)
- OpenAlex
- W2908756709
- Cited by
- 178
- References
- 11
- FWCI
- 23.00
- 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: Investigating motivated consumer innovativeness in the context of drone food delivery services. https://app.cochat.ai/papers/10.1016/j.jhtm.2019.01.004
- The paper
- Hwang, J., Kim, H., & Kim, W. (2019). Investigating motivated consumer innovativeness in the context of drone food delivery services. Journal of Hospitality and Tourism Management. https://doi.org/10.1016/j.jhtm.2019.01.004
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.
