The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
The development of a scale to measure perceived corporate credibility
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Citations
Cites
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941
A Paradigm for Developing Better Measures of Marketing Constructs
Churchill, G. A. (1979) · Journal of Marketing Research · doi:10.1177/002224377901600110 · Cited by 16,549
Reliability and Validity Assessment
Carmines, E., & Zeller, R. (1979) · doi:10.4135/9781412985642 · Cited by 5,884
Ohanian, R. (1990) · Journal of Advertising · doi:10.1080/00913367.1990.10673191 · Cited by 4,043
The Effects of Advertiser Reputation and Extremity of Advertising Claim on Advertising Effectiveness
Goldberg, M. E., & Hartwick, J. (1990) · Journal of Consumer Research · doi:10.1086/208547 · Cited by 444
Cited by
Policy mixes for sustainability transitions: an extended concept and framework for analysis
Rogge, K. S., & Reichardt, K. (2016) · Research Policy · doi:10.1016/j.respol.2016.04.004 · Cited by 1,524
A comparative study of cb-sem and pls-sem for theory development in family firm research
Astrachan, C. B., Patel, V. K., & Wanzenried, G. (2014) · Journal of Family Business Strategy · doi:10.1016/j.jfbs.2013.12.002 · Cited by 766
Hur, W.-M., Kim, H., & Woo, J. (2014) · Journal of Business Ethics · doi:10.1007/s10551-013-1910-0 · Cited by 538
Lafferty, B. A., Goldsmith, R. E., & Newell, S. J. (2002) · Journal of Marketing Theory and Practice · doi:10.1080/10696679.2002.11501916 · Cited by 467
Self-citationAlcañiz, E. B., Cáceres, R. C., & Pérez, R. C. (2010) · Journal of Business Ethics · doi:10.1007/s10551-010-0461-x · Cited by 291
Tucker, E. M., Rifon, N. J., Lee, E. M., & Reece, B. B. (2012) · Journal of Advertising · doi:10.1080/00913367.2012.10672454 · Cited by 123
Is the Airline Trustworthy? The Impact of Source Credibility on Voluntary Carbon Offsetting
Zhang, B., Ritchie, B., Mair, J., & Driml, S. (2019) · Journal of Travel Research · doi:10.1177/0047287518775781 · Cited by 79
Pérez, A., & Rodríguez del Bosque, I. (2013) · Psychology & Marketing · doi:10.1002/mar.20654 · Cited by 72
Musgrove, C. (. F., Choi, P., & Chris Cox, K. (2018) · Services Marketing Quarterly · doi:10.1080/15332969.2018.1514794 · Cited by 56
Wortel, C., Vanwesenbeeck, I., & Tomas, F. (2024) · Emerging Media · doi:10.1177/27523543241292096 · Cited by 50
Bahn-Walkowiak, B., & Wilts, H. (2017) · Energy Research & Social Science · doi:10.1016/j.erss.2017.09.021 · Cited by 48
Bailey, A. A. (2005) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2004.10.003 · Cited by 42
Measuring Source Credibility of Social Engineering Attackers on Facebook
Algarni, A., Xu, Y., & Chan, T. (2016) · 2016 49th Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2016.460 · Cited by 18
Buckley, C., Norman, M., Troy, C., Yang, Y., Bao, J., Overton, H. K., & Jung, Y. (2025) · International Journal of Strategic Communication · doi:10.1080/1553118x.2025.2514276 · Cited by 12
Metadata
- Authors
- Newell, S. J., & Goldsmith, R. E.
- Venue
- Journal of Business Research
- Publisher
- Elsevier BV
- Published
- 2001-06
- Volume
- 52
- Issue
- 3
- Pages
- 235-247
- ISSN
- 0148-2963 (ISSN-L)
- OpenAlex
- W2092322780
- Cited by
- 606
- References
- 7
- FWCI
- 18.42
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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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.
