The DOI matches its Crossref record; 88 of the 93 references it cites were found in a registry or an index.
Can data-driven precision marketing promote user ad clicks? Evidence from advertising in WeChat moments
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
“On the one hand, in most cases, ad relevance increases the potential to capture users' attention and produce the desired conversions.”
From Computer Estimation of Customer Similarity With Facebook Lookalikes: Advantages and Disadvantages of Hyper-Targeting (2019) · cites this paper as [70]
In the citing paper
“On the one hand, in most cases, ad relevance increases the potential to capture users' attention and produce the desired conversions.”
From Computer Estimation of Customer Similarity With Facebook Lookalikes: Advantages and Disadvantages of Hyper-Targeting (2019) · cites this paper as [69]
Citations
Cites
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
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
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Herne, H., Cooley, W. W., & Lohnes, P. R. (1973) · Journal of the Royal Statistical Society Series A (General) · doi:10.2307/2344428 · Cited by 35,801
On the Evaluation of Structural Equation Models
Bagozzi, R. P., & Yi, Y. (1988) · Journal of the Academy of Marketing Science · doi:10.1007/bf02723327 · Cited by 26,163
Einax, J. W., Zwanziger, H. W., & Geiß, S. (1997) · Wiley eBooks · doi:10.1002/352760216x.ch5 · Cited by 18,779
Self-Reports in Organizational Research: Problems and Prospects
Podsakoff, P. M., & Organ, D. W. (1986) · Journal of Management · doi:10.1177/014920638601200408 · Cited by 17,102
Estimating Nonresponse Bias in Mail Surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.2307/3150783 · Cited by 12,222
An integrative model of organizational trust
Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995) · The Academy of Management Review · doi:10.2307/258792 · Cited by 10,736
Estimating nonresponse bias in mail surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.1177/002224377701400320 · Cited by 10,390
Research works printed but not linked: 5
- Lee, 2012, A study on user perceptions and user behavior of an online federated search system, Journal of Educational Media and Library Science, 49, 369
- Tsai, 2012, Vol. 143, 471
- Westin, 1967, Vol. 1
- Yanes, 2017, How WeChat has changed the face of marketing in China, British Journal of Marketing Studies, 5, 14
- Zabin, 2004, Vol. 2004, 24
Cited by
Sorted by citations
AI-powered marketing: What, where, and how?
Kumar, V., Ashraf, A. R., & Nadeem, W. (2024) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2024.102783 · Cited by 509
Zhang, M., Liu, Y., Wang, Y., & Zhao, L. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.107052 · Cited by 529
Saura, J. R., Soriano, D. R., & Palacios‐Marqués, D. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102331 · Cited by 234
Artificial intelligence consumer behavior: A hybrid review and research agenda
Jain, V., Wadhwani, K., & Eastman, J. K. (2023) · Journal of Consumer Behaviour · doi:10.1002/cb.2233 · Cited by 238
Wang, G., Tan, G. W., Yuan, Y.-P., Ooi, K., & Dwivedi, Y. K. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.121345 · Cited by 188
Metadata
- Authors
- Yu, C., Zhang, Z., Lin, C., & Wu, Y. J.
- Affiliations
- South China University of Technology (CN)
- Huaqiao University (CN)
- National Taiwan Normal University (TW)
- Corresponding author
- Wu, Yenchun Jim
- Venue
- Industrial Marketing Management
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 90
- Pages
- 481-492
- ISSN
- 0019-8501 (ISSN-L)
- OpenAlex
- W2946708860
- Cited by
- 124
- References
- 93
- Citations by year
- 2026: 13 · 2025: 19 · 2024: 19 · 2023: 18 · 2022: 17 · 2021: 21 · 2020: 15
- FWCI
- 27.69
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Industrial Marketing Management (publishedVersion)
- Funders
- Ministry of Science and Technology, Taiwan (106-2511-S-003-029-MY3)
- National Office for Philosophy and Social Sciences (18CGL014)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Digital Marketing and Social Media
- Social Sciences › Business, Management and Accounting › Marketing › Marketing and Advertising Strategies
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Market Behavior and Pricing
- Keywords
- precision marketing, WeChat Moments, cue utilization theory, product involvement, brand familiarity, visual appeal, information quality, trust, privacy concerns, consumer perception
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.
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