The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Consumer valuation of the wearables: The case of smartwatches
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The short‐term behavior change in the exercise activity of the patients can be attributed to the novelty effects.256”
From Wearables in Medicine (2018) · cites this paper as [256]
Citations
Cites
Herne, H., Cooley, W. W., & Lohnes, P. R. (1973) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2344428 · Cited by 35,697
Qu, X. (2007) · Technometrics · doi:10.1198/tech.2007.s455 · Cited by 14,705
Effects of Price, Brand, and Store Information on Buyers’ Product Evaluations
Dodds, W. B., Monroe, K. B., & Grewal, D. (1991) · Journal of Marketing Research · doi:10.1177/002224379102800305 · Cited by 5,853
Conjoint Analysis in Marketing: New Developments with Implications for Research and Practice
Green, P. E., & Srinivasan, V. (1990) · Journal of Marketing · doi:10.1177/002224299005400402 · Cited by 2,687
(1960) · Medical Entomology and Zoology · Cited by 1,879
Erdem, T., & Keane, M. P. (1996) · Marketing Science · doi:10.1287/mksc.15.1.1 · Cited by 1,221
Di Benedetto, C. A. (2015) · Wiley Encyclopedia of Management · doi:10.1002/9781118785317.weom130016 · Cited by 1,051
Orthogonal Main-Effect Plans for Asymmetrical Factorial Experiments
Addelman, S. (1962) · Technometrics · doi:10.1080/00401706.1962.10489985 · Cited by 706
Price and Brand Name As Indicators of Quality Dimensions for Consumer Durables
Brucks, M., Zeithaml, V. A., & Naylor, G. (2000) · Journal of the Academy of Marketing Science · doi:10.1177/0092070300283005 · Cited by 612
Wearable computing: a first step toward personal imaging
Mann, S. (1997) · Computer · doi:10.1109/2.566147 · Cited by 510
Research works printed but not linked: 1
- Green, 1975, New way to measure consumers’ judgments, Harvard Business Review, 53, 107
Cited by
Yetisen, A. K., Martinez‐Hurtado, J. L., Ünal, B., Khademhosseini, A., & Butt, H. (2018) · Advanced Materials · doi:10.1002/adma.201706910 · Cited by 569
Consumer acceptance of sports wearable technology: the role of technology readiness
Kim, T., & Chiu, W. (2019) · International Journal of Sports Marketing and Sponsorship · doi:10.1108/ijsms-06-2017-0050 · Cited by 242
Wearable Devices for Environmental Monitoring in the Built Environment: A Systematic Review
Salamone, F., Masullo, M., & Sibilio, S. (2021) · Sensors · doi:10.3390/s21144727 · Cited by 89
Metadata
- Authors
- Jung, Y., Kim, S., & Choi, B.
- Affiliations
- Ulsan National Institute of Science and Technology (KR)
- Korea University (KR)
- Corresponding author
- Kim, Seongcheol
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2016-10
- Volume
- 63
- Pages
- 899-905
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2462707797
- Cited by
- 136
- References
- 21
- Citations by year
- 2026: 5 · 2025: 9 · 2024: 12 · 2023: 13 · 2022: 14 · 2021: 28 · 2020: 12 · 2019: 17 · 2018: 16 · 2017: 6 · 2016: 3
- FWCI
- 21.84
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- Locations
- Computers in Human Behavior (publishedVersion)
- Scholarworks@UNIST (Ulsan National Institute of Science and Technology) (submittedVersion)
- Funders
- MSIP(Ministry of Science, ICT and Future Planning), Korea (IITP-2015-H8201-15-1003)
- National Research Foundation (NRF) of South Korea (NRF-2013S1A3A2043357)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic and Environmental Valuation
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Keywords
- smartwatches, wearable devices, consumer valuation, preference structure, conjoint analysis, screen size, brand, price, mobile computing, fashion
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: Consumer valuation of the wearables: The case of smartwatches. https://app.cochat.ai/papers/10.1016/j.chb.2016.06.040
- The paper
- Jung, Y., Kim, S., & Choi, B. (2016). Consumer valuation of the wearables: The case of smartwatches. Computers in Human Behavior. https://doi.org/10.1016/j.chb.2016.06.040
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.